maximuspowers/muat-pca-10-classifier
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{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.74, "improved_accuracy": 0.9, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2190, "learning_rate": 0.011011606458282482, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "decreasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["decreasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
pca: [[-0.297801, 0.430983, -0.243765, -0.068206, 0.318476, 0.721400, 0.097213, -0.173781, 0.000000, 0.000000], [0.539854, -0.209376, 0.035205, 0.187587, -0.041196, 0.541443, -0.053228, 0.574978, 0.000000, 0.000000], [-0.042286, 0.475558, 0.303632, 0.444023, 0.354078, -0.275573, 0.380590, 0.369523, 0.000000, 0.000000], [-0.108756, -0.400857, 0.038304, 0.667125, 0.400720, 0.060886, -0.334738, -0.323465, 0.000000, 0.000000], [-0.185062, 0.056023, 0.762222, -0.334097, 0.163265, 0.131131, -0.464561, 0.101696, 0.000000, 0.000000], [-0.324954, -0.451273, -0.267963, -0.338439, 0.527708, -0.130730, 0.123632, 0.439956, 0.000000, 0.000000], [0.682582, 0.106321, -0.015898, -0.297828, 0.551459, -0.140055, 0.010684, -0.331643, 0.000000, 0.000000], [-0.022235, -0.406797, 0.438908, -0.055527, -0.041117, 0.229941, 0.706825, -0.290057, 0.000000, 0.000000]]
### 2
pca: [[-0.259175, 0.424037, 0.559379, 0.261627, 0.286549, 0.503537, -0.058538, 0.180500, 0.000000, 0.000000], [-0.109015, 0.607078, -0.245285, -0.421884, -0.378781, 0.125904, 0.435430, 0.180261, 0.000000, 0.000000], [0.419929, 0.331092, -0.437461, 0.614793, -0.183361, 0.241382, -0.174764, -0.149219, 0.000000, 0.000000], [-0.045442, -0.018453, 0.163195, 0.398931, 0.083515, -0.217608, 0.784446, -0.377004, 0.000000, 0.000000], [0.230764, -0.056912, -0.412157, -0.124313, 0.754817, 0.189472, 0.269188, 0.282969, 0.000000, 0.000000], [0.662265, -0.291505, 0.387067, -0.082599, -0.297353, 0.292421, 0.246116, 0.292036, 0.000000, 0.000000], [-0.382738, -0.459176, -0.252801, -0.019008, -0.185002, 0.686289, 0.123751, -0.240554, 0.000000, 0.000000], [-0.322806, -0.206468, -0.159133, 0.440239, -0.203532, -0.180490, 0.112812, 0.739801, 0.000000, 0.000000]]
### 4
pca: [[0.541076, -0.125240, -0.172213, 0.432850, -0.229712, 0.077056, 0.571518, -0.298658, 0.000000, 0.000000], [0.407395, -0.505157, 0.217326, 0.025330, -0.361715, -0.379074, -0.498850, 0.087102, 0.000000, 0.000000], [-0.168502, -0.260173, -0.496875, 0.585119, 0.275134, -0.069086, -0.126337, 0.467157, 0.000000, 0.000000], [-0.341406, -0.251701, 0.662259, 0.487378, 0.235470, 0.043457, 0.034533, -0.292296, 0.000000, 0.000000], [-0.417351, -0.428153, -0.345431, -0.093991, -0.414949, 0.425788, -0.150147, -0.371920, 0.000000, 0.000000], [0.175531, 0.182740, 0.288055, 0.191152, -0.287284, 0.703682, -0.151858, 0.464240, 0.000000, 0.000000], [-0.065052, 0.614394, -0.135189, 0.428403, -0.274399, -0.182822, -0.434717, -0.344652, 0.000000, 0.000000], [0.432539, -0.062440, -0.130637, -0.056524, 0.596020, 0.365810, -0.415665, -0.356253, 0.000000, 0.000000]]
### 6
pca: [[-0.273689, 0.571512, -0.031112, -0.042261, 0.161900, 0.712198, -0.221920, 0.114142, 0.000000, 0.000000], [0.295911, -0.310596, 0.269695, -0.085596, 0.769666, 0.086374, -0.182869, 0.320339, 0.000000, 0.000000], [-0.303939, 0.213296, 0.740839, -0.145487, 0.076083, -0.114231, 0.521953, -0.029059, 0.000000, 0.000000], [0.442380, 0.332017, 0.283643, 0.133202, -0.404586, -0.139285, -0.180723, 0.616537, 0.000000, 0.000000], [-0.313396, 0.333849, -0.451269, -0.182904, 0.308771, -0.513680, 0.136498, 0.418797, 0.000000, 0.000000], [0.444260, 0.217026, -0.243116, 0.450118, 0.208728, 0.175172, 0.645375, -0.055318, 0.000000, 0.000000], [-0.277733, 0.124285, 0.174158, 0.790149, 0.197466, -0.277871, -0.337446, -0.150591, 0.000000, 0.000000], [0.420396, 0.497164, 0.062611, -0.302627, 0.184455, -0.284781, -0.251406, -0.549785, 0.000000, 0.000000]]
### 8
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
decreasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
pca: [[-0.297801, 0.430983, -0.243765, -0.068206, 0.318476, 0.721400, 0.097213, -0.173781, 0.000000, 0.000000], [0.539854, -0.209376, 0.035205, 0.187587, -0.041196, 0.541443, -0.053228, 0.574978, 0.000000, 0.000000], [-0.042286, 0.475558, 0.303632, 0.444023, 0.354078, -0.275573, 0.380590, 0.369523, 0.000000, 0.000000], [-0.108756, -0.400857, 0.038304, 0.667125, 0.400720, 0.060886, -0.334738, -0.323465, 0.000000, 0.000000], [-0.185062, 0.056023, 0.762222, -0.334097, 0.163265, 0.131131, -0.464561, 0.101696, 0.000000, 0.000000], [-0.324954, -0.451273, -0.267963, -0.338439, 0.527708, -0.130730, 0.123632, 0.439956, 0.000000, 0.000000], [0.682582, 0.106321, -0.015898, -0.297828, 0.551459, -0.140055, 0.010684, -0.331643, 0.000000, 0.000000], [-0.022235, -0.406797, 0.438908, -0.055527, -0.041117, 0.229941, 0.706825, -0.290057, 0.000000, 0.000000]]
### 2
pca: [[-0.259175, 0.424037, 0.559379, 0.261627, 0.286549, 0.503537, -0.058538, 0.180500, 0.000000, 0.000000], [-0.109015, 0.607078, -0.245285, -0.421884, -0.378781, 0.125904, 0.435430, 0.180261, 0.000000, 0.000000], [0.419929, 0.331092, -0.437461, 0.614793, -0.183361, 0.241382, -0.174764, -0.149219, 0.000000, 0.000000], [-0.045442, -0.018453, 0.163195, 0.398931, 0.083515, -0.217608, 0.784446, -0.377004, 0.000000, 0.000000], [0.230764, -0.056912, -0.412157, -0.124313, 0.754817, 0.189472, 0.269188, 0.282969, 0.000000, 0.000000], [0.662265, -0.291505, 0.387067, -0.082599, -0.297353, 0.292421, 0.246116, 0.292036, 0.000000, 0.000000], [-0.382738, -0.459176, -0.252801, -0.019008, -0.185002, 0.686289, 0.123751, -0.240554, 0.000000, 0.000000], [-0.322806, -0.206468, -0.159133, 0.440239, -0.203532, -0.180490, 0.112812, 0.739801, 0.000000, 0.000000]]
### 4
pca: [[0.541076, -0.125240, -0.172213, 0.432850, -0.229712, 0.077056, 0.571518, -0.298658, 0.000000, 0.000000], [0.407395, -0.505157, 0.217326, 0.025330, -0.361715, -0.379074, -0.498850, 0.087102, 0.000000, 0.000000], [-0.168502, -0.260173, -0.496875, 0.585119, 0.275134, -0.069086, -0.126337, 0.467157, 0.000000, 0.000000], [-0.341406, -0.251701, 0.662259, 0.487378, 0.235470, 0.043457, 0.034533, -0.292296, 0.000000, 0.000000], [-0.417351, -0.428153, -0.345431, -0.093991, -0.414949, 0.425788, -0.150147, -0.371920, 0.000000, 0.000000], [0.175531, 0.182740, 0.288055, 0.191152, -0.287284, 0.703682, -0.151858, 0.464240, 0.000000, 0.000000], [-0.065052, 0.614394, -0.135189, 0.428403, -0.274399, -0.182822, -0.434717, -0.344652, 0.000000, 0.000000], [0.432539, -0.062440, -0.130637, -0.056524, 0.596020, 0.365810, -0.415665, -0.356253, 0.000000, 0.000000]]
### 6
pca: [[-0.273689, 0.571512, -0.031112, -0.042261, 0.161900, 0.712198, -0.221920, 0.114142, 0.000000, 0.000000], [0.295911, -0.310596, 0.269695, -0.085596, 0.769666, 0.086374, -0.182869, 0.320339, 0.000000, 0.000000], [-0.303939, 0.213296, 0.740839, -0.145487, 0.076083, -0.114231, 0.521953, -0.029059, 0.000000, 0.000000], [0.442380, 0.332017, 0.283643, 0.133202, -0.404586, -0.139285, -0.180723, 0.616537, 0.000000, 0.000000], [-0.313396, 0.333849, -0.451269, -0.182904, 0.308771, -0.513680, 0.136498, 0.418797, 0.000000, 0.000000], [0.444260, 0.217026, -0.243116, 0.450118, 0.208728, 0.175172, 0.645375, -0.055318, 0.000000, 0.000000], [-0.277733, 0.124285, 0.174158, 0.790149, 0.197466, -0.277871, -0.337446, -0.150591, 0.000000, 0.000000], [0.420396, 0.497164, 0.062611, -0.302627, 0.184455, -0.284781, -0.251406, -0.549785, 0.000000, 0.000000]]
### 8
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
decreasing_pairs
|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6898400485515594, "train_acc": 0.485, "val_loss": 0.6638575792312622, "val_acc": 0.72}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6750549972057343, "train_acc": 0.555, "val_loss": 0.6391302347183228, "val_acc": 0.72}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6579333245754242, "train_acc": 0.565, "val_loss": 0.6009624004364014, "val_acc": 0.74}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6371870040893555, "train_acc": 0.56, "val_loss": 0.5561177730560303, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5914044082164764, "train_acc": 0.755, "val_loss": 0.4965832531452179, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5416778922080994, "train_acc": 0.815, "val_loss": 0.4305589199066162, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4646608978509903, "train_acc": 0.84, "val_loss": 0.37022751569747925, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.40783318877220154, "train_acc": 0.875, "val_loss": 0.31638193130493164, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3190695196390152, "train_acc": 0.89, "val_loss": 0.2828712463378906, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.2890961617231369, "train_acc": 0.9, "val_loss": 0.2761634886264801, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.22384145855903625, "train_acc": 0.91, "val_loss": 0.28783780336380005, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.2233518362045288, "train_acc": 0.915, "val_loss": 0.2935245633125305, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.19093690812587738, "train_acc": 0.925, "val_loss": 0.2849612832069397, "val_acc": 0.9}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6638575792312622, "final_val_loss": 0.6009624004364014, "initial_val_acc": 0.72, "final_val_acc": 0.74, "best_val_acc": 0.74}, "improved_stage": {"initial_val_loss": 0.5561177730560303, "final_val_loss": 0.2849612832069397, "initial_val_acc": 0.84, "final_val_acc": 0.9, "best_val_acc": 0.9, "best_epoch": 11}, "improvement": 0.16000000000000003, "first_improvement_epoch": 2}}
|
1
|
{"target_pattern": "alternating", "degraded_accuracy": 0.48, "improved_accuracy": 0.98, "improvement": 0.5, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8208, "learning_rate": 0.09630645140215274, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "alternating", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["alternating"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
pca: [[0.385761, 0.375688, -0.104155, -0.141214, -0.287482, 0.215273, -0.326046, 0.666306, 0.000000, 0.000000], [0.102347, 0.292920, -0.078237, 0.255905, -0.216156, -0.367583, 0.775125, 0.222386, 0.000000, 0.000000], [0.027998, -0.436791, -0.465985, -0.070432, 0.580359, -0.057368, 0.135250, 0.477417, 0.000000, 0.000000], [0.103749, 0.200535, -0.384688, 0.821197, 0.141966, 0.124381, -0.254213, -0.162555, 0.000000, 0.000000], [0.123684, -0.128057, 0.039728, 0.033856, -0.032640, 0.872015, 0.447375, -0.062920, 0.000000, 0.000000], [-0.248523, 0.723680, -0.127854, -0.310689, 0.512330, 0.124675, 0.087293, -0.126503, 0.000000, 0.000000], [0.859077, 0.019665, 0.179156, -0.109753, 0.324302, -0.151256, 0.037280, -0.296678, 0.000000, 0.000000], [-0.118706, 0.039468, 0.753580, 0.354299, 0.380711, 0.030751, -0.028365, 0.379803, 0.000000, 0.000000]]
### 2
pca: [[0.062737, -0.139983, 0.672905, -0.124923, -0.277763, 0.606662, -0.020973, 0.249861, 0.000000, 0.000000], [-0.364166, -0.071524, 0.552436, 0.615122, 0.196359, -0.267683, -0.010352, -0.261511, 0.000000, 0.000000], [-0.053061, 0.374248, 0.351230, -0.364484, 0.292605, -0.462001, 0.055828, 0.546565, 0.000000, 0.000000], [0.346869, -0.187519, 0.037182, 0.164248, -0.022608, -0.100459, 0.893624, 0.083621, 0.000000, 0.000000], [0.496386, -0.098077, 0.205743, -0.241815, 0.663696, 0.121176, -0.107657, -0.420013, 0.000000, 0.000000], [0.432678, -0.224198, 0.227812, -0.128647, -0.535585, -0.551640, -0.258630, -0.189813, 0.000000, 0.000000], [0.360296, 0.834829, 0.061888, 0.301018, -0.183970, 0.132693, 0.003163, -0.165356, 0.000000, 0.000000], [0.420584, -0.207943, -0.138602, 0.529676, 0.192284, 0.013111, -0.345375, 0.568923, 0.000000, 0.000000]]
### 4
pca: [[0.503452, 0.448566, 0.268044, 0.373767, -0.196248, -0.232187, -0.246809, -0.424778, 0.000000, 0.000000], [0.388619, -0.417399, -0.002447, 0.548715, 0.399143, -0.242812, 0.137946, 0.369266, 0.000000, 0.000000], [0.351167, 0.366417, 0.284788, -0.239319, 0.410079, 0.432879, 0.495039, 0.058566, 0.000000, 0.000000], [-0.344184, 0.260769, 0.653808, 0.072857, -0.006605, -0.137278, -0.230013, 0.555849, 0.000000, 0.000000], [-0.234459, 0.273522, -0.227233, -0.028092, 0.772627, -0.160331, -0.395559, -0.196637, 0.000000, 0.000000], [0.474619, 0.203533, -0.339164, -0.481800, -0.109761, -0.264660, -0.260295, 0.486109, 0.000000, 0.000000], [-0.033603, 0.300787, -0.389308, 0.472115, -0.123527, 0.619212, -0.220551, 0.294312, 0.000000, 0.000000], [-0.269011, 0.464319, -0.318354, 0.202029, -0.098511, -0.449141, 0.590952, 0.096021, 0.000000, 0.000000]]
### 6
pca: [[-0.203073, 0.317123, 0.285495, -0.210884, -0.054734, -0.555225, 0.633374, 0.140651, 0.000000, 0.000000], [0.386248, -0.283024, 0.202657, 0.480122, 0.112781, -0.147788, 0.063551, 0.678619, 0.000000, 0.000000], [-0.047857, -0.409708, 0.263974, 0.475769, -0.093902, 0.113462, 0.445015, -0.560430, 0.000000, 0.000000], [0.480789, -0.057592, 0.663772, -0.401192, -0.318911, 0.045978, -0.208278, -0.129531, 0.000000, 0.000000], [-0.117828, 0.307776, 0.400101, 0.304895, 0.554216, -0.293733, -0.423413, -0.256195, 0.000000, 0.000000], [0.279540, -0.323829, -0.082025, -0.438709, 0.729869, 0.050548, 0.271138, -0.094961, 0.000000, 0.000000], [0.671767, 0.558902, -0.290276, 0.226212, -0.016894, 0.022589, 0.212181, -0.234755, 0.000000, 0.000000], [-0.181188, 0.369039, 0.340703, 0.033185, 0.183337, 0.752032, 0.235724, 0.243046, 0.000000, 0.000000]]
### 8
pca: [[-0.414987, -0.413727, 0.437405, 0.564808, 0.215695, 0.133177, 0.196053, 0.208777, 0.000000, 0.000000], [-0.212448, 0.246748, 0.449222, -0.470637, -0.298272, 0.279280, -0.023274, 0.550615, 0.000000, 0.000000], [0.116677, 0.300918, -0.305902, 0.323031, 0.095811, -0.428326, 0.065692, 0.707780, 0.000000, 0.000000], [0.536025, -0.219119, 0.321707, -0.193744, -0.018733, -0.248361, 0.679070, 0.021472, 0.000000, 0.000000], [0.543285, 0.050138, -0.095300, 0.383248, -0.208999, 0.697821, -0.012665, 0.124786, 0.000000, 0.000000], [-0.033606, 0.246946, -0.130762, -0.242938, 0.814031, 0.364878, 0.253424, 0.042008, 0.000000, 0.000000], [0.064455, 0.713213, 0.500540, 0.322967, 0.043452, -0.137817, -0.004377, -0.333801, 0.000000, 0.000000], [0.425761, -0.239189, 0.364807, -0.086035, 0.383097, -0.141553, -0.656633, 0.151864, 0.000000, 0.000000]]
### 10
pca: [[-0.256851, 0.054305, 0.102391, 0.607262, -0.465523, 0.410831, -0.027850, -0.406888, 0.000000, 0.000000], [-0.428572, 0.368091, -0.095924, -0.053105, 0.660107, 0.376891, -0.267186, -0.140131, 0.000000, 0.000000], [-0.122943, -0.400838, 0.766564, -0.173758, 0.013362, 0.211628, -0.358895, 0.180642, 0.000000, 0.000000], [-0.366524, 0.508508, 0.063355, 0.096357, -0.328186, -0.367941, -0.338215, 0.486113, 0.000000, 0.000000], [0.245854, 0.553210, 0.280191, -0.367867, -0.213453, 0.454244, 0.392816, 0.116092, 0.000000, 0.000000], [0.499895, 0.012638, -0.084130, 0.535079, 0.219243, 0.308142, -0.164907, 0.535112, 0.000000, 0.000000], [-0.235149, 0.046864, 0.417587, 0.388833, 0.353297, -0.281742, 0.633295, 0.108064, 0.000000, 0.000000], [0.485040, 0.365939, 0.358772, 0.126925, 0.145649, -0.358241, -0.319498, -0.484116, 0.000000, 0.000000]]
### 12
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
alternating
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
pca: [[0.385761, 0.375688, -0.104155, -0.141214, -0.287482, 0.215273, -0.326046, 0.666306, 0.000000, 0.000000], [0.102347, 0.292920, -0.078237, 0.255905, -0.216156, -0.367583, 0.775125, 0.222386, 0.000000, 0.000000], [0.027998, -0.436791, -0.465985, -0.070432, 0.580359, -0.057368, 0.135250, 0.477417, 0.000000, 0.000000], [0.103749, 0.200535, -0.384688, 0.821197, 0.141966, 0.124381, -0.254213, -0.162555, 0.000000, 0.000000], [0.123684, -0.128057, 0.039728, 0.033856, -0.032640, 0.872015, 0.447375, -0.062920, 0.000000, 0.000000], [-0.248523, 0.723680, -0.127854, -0.310689, 0.512330, 0.124675, 0.087293, -0.126503, 0.000000, 0.000000], [0.859077, 0.019665, 0.179156, -0.109753, 0.324302, -0.151256, 0.037280, -0.296678, 0.000000, 0.000000], [-0.118706, 0.039468, 0.753580, 0.354299, 0.380711, 0.030751, -0.028365, 0.379803, 0.000000, 0.000000]]
### 2
pca: [[0.062737, -0.139983, 0.672905, -0.124923, -0.277763, 0.606662, -0.020973, 0.249861, 0.000000, 0.000000], [-0.364166, -0.071524, 0.552436, 0.615122, 0.196359, -0.267683, -0.010352, -0.261511, 0.000000, 0.000000], [-0.053061, 0.374248, 0.351230, -0.364484, 0.292605, -0.462001, 0.055828, 0.546565, 0.000000, 0.000000], [0.346869, -0.187519, 0.037182, 0.164248, -0.022608, -0.100459, 0.893624, 0.083621, 0.000000, 0.000000], [0.496386, -0.098077, 0.205743, -0.241815, 0.663696, 0.121176, -0.107657, -0.420013, 0.000000, 0.000000], [0.432678, -0.224198, 0.227812, -0.128647, -0.535585, -0.551640, -0.258630, -0.189813, 0.000000, 0.000000], [0.360296, 0.834829, 0.061888, 0.301018, -0.183970, 0.132693, 0.003163, -0.165356, 0.000000, 0.000000], [0.420584, -0.207943, -0.138602, 0.529676, 0.192284, 0.013111, -0.345375, 0.568923, 0.000000, 0.000000]]
### 4
pca: [[0.503452, 0.448566, 0.268044, 0.373767, -0.196248, -0.232187, -0.246809, -0.424778, 0.000000, 0.000000], [0.388619, -0.417399, -0.002447, 0.548715, 0.399143, -0.242812, 0.137946, 0.369266, 0.000000, 0.000000], [0.351167, 0.366417, 0.284788, -0.239319, 0.410079, 0.432879, 0.495039, 0.058566, 0.000000, 0.000000], [-0.344184, 0.260769, 0.653808, 0.072857, -0.006605, -0.137278, -0.230013, 0.555849, 0.000000, 0.000000], [-0.234459, 0.273522, -0.227233, -0.028092, 0.772627, -0.160331, -0.395559, -0.196637, 0.000000, 0.000000], [0.474619, 0.203533, -0.339164, -0.481800, -0.109761, -0.264660, -0.260295, 0.486109, 0.000000, 0.000000], [-0.033603, 0.300787, -0.389308, 0.472115, -0.123527, 0.619212, -0.220551, 0.294312, 0.000000, 0.000000], [-0.269011, 0.464319, -0.318354, 0.202029, -0.098511, -0.449141, 0.590952, 0.096021, 0.000000, 0.000000]]
### 6
pca: [[-0.203073, 0.317123, 0.285495, -0.210884, -0.054734, -0.555225, 0.633374, 0.140651, 0.000000, 0.000000], [0.386248, -0.283024, 0.202657, 0.480122, 0.112781, -0.147788, 0.063551, 0.678619, 0.000000, 0.000000], [-0.047857, -0.409708, 0.263974, 0.475769, -0.093902, 0.113462, 0.445015, -0.560430, 0.000000, 0.000000], [0.480789, -0.057592, 0.663772, -0.401192, -0.318911, 0.045978, -0.208278, -0.129531, 0.000000, 0.000000], [-0.117828, 0.307776, 0.400101, 0.304895, 0.554216, -0.293733, -0.423413, -0.256195, 0.000000, 0.000000], [0.279540, -0.323829, -0.082025, -0.438709, 0.729869, 0.050548, 0.271138, -0.094961, 0.000000, 0.000000], [0.671767, 0.558902, -0.290276, 0.226212, -0.016894, 0.022589, 0.212181, -0.234755, 0.000000, 0.000000], [-0.181188, 0.369039, 0.340703, 0.033185, 0.183337, 0.752032, 0.235724, 0.243046, 0.000000, 0.000000]]
### 8
pca: [[-0.414987, -0.413727, 0.437405, 0.564808, 0.215695, 0.133177, 0.196053, 0.208777, 0.000000, 0.000000], [-0.212448, 0.246748, 0.449222, -0.470637, -0.298272, 0.279280, -0.023274, 0.550615, 0.000000, 0.000000], [0.116677, 0.300918, -0.305902, 0.323031, 0.095811, -0.428326, 0.065692, 0.707780, 0.000000, 0.000000], [0.536025, -0.219119, 0.321707, -0.193744, -0.018733, -0.248361, 0.679070, 0.021472, 0.000000, 0.000000], [0.543285, 0.050138, -0.095300, 0.383248, -0.208999, 0.697821, -0.012665, 0.124786, 0.000000, 0.000000], [-0.033606, 0.246946, -0.130762, -0.242938, 0.814031, 0.364878, 0.253424, 0.042008, 0.000000, 0.000000], [0.064455, 0.713213, 0.500540, 0.322967, 0.043452, -0.137817, -0.004377, -0.333801, 0.000000, 0.000000], [0.425761, -0.239189, 0.364807, -0.086035, 0.383097, -0.141553, -0.656633, 0.151864, 0.000000, 0.000000]]
### 10
pca: [[-0.256851, 0.054305, 0.102391, 0.607262, -0.465523, 0.410831, -0.027850, -0.406888, 0.000000, 0.000000], [-0.428572, 0.368091, -0.095924, -0.053105, 0.660107, 0.376891, -0.267186, -0.140131, 0.000000, 0.000000], [-0.122943, -0.400838, 0.766564, -0.173758, 0.013362, 0.211628, -0.358895, 0.180642, 0.000000, 0.000000], [-0.366524, 0.508508, 0.063355, 0.096357, -0.328186, -0.367941, -0.338215, 0.486113, 0.000000, 0.000000], [0.245854, 0.553210, 0.280191, -0.367867, -0.213453, 0.454244, 0.392816, 0.116092, 0.000000, 0.000000], [0.499895, 0.012638, -0.084130, 0.535079, 0.219243, 0.308142, -0.164907, 0.535112, 0.000000, 0.000000], [-0.235149, 0.046864, 0.417587, 0.388833, 0.353297, -0.281742, 0.633295, 0.108064, 0.000000, 0.000000], [0.485040, 0.365939, 0.358772, 0.126925, 0.145649, -0.358241, -0.319498, -0.484116, 0.000000, 0.000000]]
### 12
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
alternating
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.537074, -0.188148, -0.718552, -0.454124, -0.657402], [-0.138443, -0.082972, -0.143666, -0.524462, -0.32656], [-0.718863, 0.341936, 0.421764, 0.621512, 0.346316], [-0.560571, 0.231381, 0.29419, -0.577745, -0.376749], [-0.22858, 0.251911, -0.19796, 0.219322, -0.123887], [0.689187, -1.288363, 0.393747, -0.948852, -0.075743], [-1.169827, 0.375382, -1.423099, 0.425783, -1.44687], [0.964863, -0.046288, -0.072825, 0.128141, -0.428003]], "network.0.bias": [-1.094005, -0.830075, -0.150181, 0.019077, -0.115735, 0.294165, 0.050609, -0.258015], "network.2.weight": [[-0.289979, -0.666399, 0.001591, 0.230116, -0.23778, -0.618406, -0.603093, -0.163454], [-0.203647, 0.472755, -0.33204, 0.653652, -0.127634, 0.268661, -0.360245, -0.860482], [0.179546, 0.358158, -0.530427, -0.219664, -0.417245, -0.316955, 0.541684, -0.124797], [0.798762, 0.057238, 0.383116, 0.046161, 0.098773, -0.519149, -0.646155, 0.579719], [0.341181, -0.072698, 0.380776, -0.113876, -0.378306, -0.963911, -0.44043, 0.816888], [0.488629, -0.207997, 0.407272, 0.135982, 0.180791, -0.87183, -0.819436, 0.659567], [0.393749, -0.395572, -0.689819, -0.988803, -0.087433, -0.634081, 0.554684, 0.957681], [0.423031, -0.234507, 0.51763, 0.072839, 0.187586, -0.410636, -0.763232, 0.813075]], "network.2.bias": [-0.365839, 0.279525, -0.728292, 0.356668, 0.268214, 0.261864, -0.329863, 0.454798], "network.4.weight": [[0.878222, 1.166339, 0.398228, -0.937058, -1.154408, -1.204593, 0.99122, -0.920467], [0.137093, -0.18631, -0.31431, -0.326103, -0.787442, -0.672415, -0.749996, -0.687266], [1.025723, 1.120799, 0.19562, -0.901861, -0.722088, -0.98701, 0.729205, -0.395593], [-0.846544, -0.158941, 0.078619, 0.532526, 0.268897, 0.537923, 0.580109, 0.848913], [-0.70425, -0.028225, 0.413503, 0.340341, 0.680818, 0.073413, 0.458571, 0.371398], [1.267764, 1.186929, 0.377882, -1.088833, -0.6342, -0.972761, 0.349007, -0.955705], [0.012322, -0.022788, 0.301869, -0.188429, 0.24418, -0.017948, 0.569162, -0.104093], [-0.521596, 0.019578, 0.087079, 0.219686, 0.665692, 0.33001, 0.856482, 0.319263]], "network.4.bias": [-0.874923, 0.683823, -0.924617, 0.243711, -0.156319, -1.053796, -0.476691, -0.171901], "network.6.weight": [[0.763766, -0.264369, 0.537802, 0.497102, 0.335809, 0.651847, -0.017621, 0.175175], [-1.618062, 0.516491, -0.652386, -0.414452, -0.579513, -1.157167, -0.078658, -1.028923], [-1.065109, 0.430007, -0.789134, 0.223656, 0.13307, -1.3422, -0.08017, -0.055357], [-1.052453, 0.806799, -0.484051, -0.361568, -1.005143, -1.065091, -0.880249, -1.132306], [0.180853, -0.391084, 0.299721, 0.490638, 0.182669, 0.367026, 0.08735, -0.163353], [-1.252297, 0.295136, -0.593369, -0.789476, -0.177106, -0.470912, -0.572783, -0.278851], [0.510098, -0.257063, 0.794571, -0.844968, -1.438729, 0.580352, 0.428214, -1.505007], [0.52832, -0.364785, 0.685733, 0.580898, -0.054686, 0.552735, -0.131499, 0.29411]], "network.6.bias": [-0.013245, 0.663222, 0.493857, 0.588948, -0.410575, 0.564259, -1.13948, 0.054786], "network.8.weight": [[0.598119, -0.472232, 0.605832, -0.713056, 0.185874, 0.413475, 0.285623, 0.877637], [0.407863, -0.647503, -0.021386, -0.322435, 0.482293, -0.627888, 0.426002, 0.025429], [-0.086567, 0.076495, -0.39592, -0.023161, -0.436242, -0.001683, -0.094571, -0.087521], [-1.038377, 1.088768, 0.511909, 0.746875, -0.534636, 0.577833, -0.681574, -0.821738], [-0.930087, 0.655173, -0.045265, 0.963755, -0.901819, 0.636432, 0.377158, -0.647736], [0.00936, 0.019956, -0.599351, -0.479647, 0.340646, 0.204929, 0.453108, 0.027066], [-0.004038, -0.52884, -0.270756, -0.425971, -0.605543, -0.150467, 0.330056, -0.072661], [-0.989431, 0.96873, 0.48147, 0.461907, -0.46679, 0.718938, -0.6258, -0.441663]], "network.8.bias": [0.160469, 0.425599, -0.202691, 0.312684, 0.090464, -0.133733, 0.235811, 0.223424], "network.10.weight": [[0.284102, 0.55811, 0.082245, -0.512331, -0.252927, -0.39205, -0.063421, 0.070599], [0.583622, 1.006846, -0.307234, -0.14561, -0.235853, -0.132858, 0.110933, -0.426672], [0.110503, -0.199708, 0.086525, -0.074105, -1.298923, 0.563502, 0.255564, 0.146688], [0.727865, 0.542282, -0.107366, -0.434613, 0.001146, 0.184741, -0.083044, 0.138263], [-0.142559, -0.069394, -0.589851, 0.724307, 0.273217, -0.715659, -0.77603, 0.67294], [-0.792476, -0.326191, -0.535333, 0.670445, 0.735292, -0.938145, -0.790004, 0.267851], [0.414797, 0.148901, -0.411897, -0.028397, -0.44943, -0.357344, 0.125825, -0.27148], [-0.519975, -0.47163, -0.916, 0.894595, 0.499003, -0.601792, -1.082581, 0.752151]], "network.10.bias": [-0.477598, -0.498553, 0.110326, 0.074679, -0.196931, -0.120776, 0.12135, -0.004651], "network.12.weight": [[-0.088623, -0.202634, -0.096563, -0.209035, 0.482352, 0.48969, -0.213311, 0.551572]], "network.12.bias": [-0.014458]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6876776218414307, "train_acc": 0.49, "val_loss": 0.8729578256607056, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7320164144039154, "train_acc": 0.57, "val_loss": 0.6967922449111938, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.768089085817337, "train_acc": 0.505, "val_loss": 0.6697094440460205, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6678609251976013, "train_acc": 0.63, "val_loss": 0.6829673647880554, "val_acc": 0.52}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.6838065385818481, "train_acc": 0.495, "val_loss": 0.6576687693595886, "val_acc": 0.52}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.6473968029022217, "train_acc": 0.495, "val_loss": 0.5371845960617065, "val_acc": 0.52}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.4649011492729187, "train_acc": 0.675, "val_loss": 0.23980984091758728, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.29149675369262695, "train_acc": 0.93, "val_loss": 0.05750921741127968, "val_acc": 0.98}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.06828912161290646, "train_acc": 0.975, "val_loss": 0.4001632332801819, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.3751361519098282, "train_acc": 0.83, "val_loss": 0.04720655828714371, "val_acc": 0.98}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.08265219628810883, "train_acc": 0.95, "val_loss": 0.6383227705955505, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.252899207174778, "train_acc": 0.91, "val_loss": 0.04556414484977722, "val_acc": 0.98}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.8729578256607056, "final_val_loss": 0.6967922449111938, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.6697094440460205, "final_val_loss": 0.04556414484977722, "initial_val_acc": 0.48, "final_val_acc": 0.98, "best_val_acc": 0.98, "best_epoch": 7}, "improvement": 0.5, "first_improvement_epoch": 1}}
|
2
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.46, "improved_accuracy": 0.92, "improvement": 0.46, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1240, "learning_rate": 0.08278571507486415, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
pca: [[-0.302904, 0.515400, 0.192402, -0.116805, -0.143975, 0.579811, -0.235616, 0.423706, 0.000000, 0.000000], [-0.009528, -0.222337, 0.514888, -0.159378, -0.436900, -0.505053, -0.246069, 0.391734, 0.000000, 0.000000], [-0.094767, -0.169174, 0.150578, 0.693685, -0.028394, 0.128258, -0.609833, -0.263387, 0.000000, 0.000000], [-0.089825, 0.557551, -0.129530, 0.510444, 0.151358, -0.513297, 0.162738, 0.301447, 0.000000, 0.000000], [0.438506, 0.154609, 0.611115, -0.067562, 0.633964, 0.027714, -0.051291, -0.021738, 0.000000, 0.000000], [-0.276392, -0.416627, -0.293737, -0.090572, 0.563508, -0.039799, -0.272724, 0.511899, 0.000000, 0.000000], [-0.227324, -0.370157, 0.356280, 0.395349, -0.006451, 0.269786, 0.638342, 0.218551, 0.000000, 0.000000], [0.755482, -0.104631, -0.267846, 0.223904, -0.212558, 0.231691, -0.032648, 0.443280, 0.000000, 0.000000]]
### 2
pca: [[0.179740, -0.394653, 0.859817, -0.112639, -0.013817, 0.092490, 0.023155, 0.225139, 0.000000, 0.000000], [-0.185201, 0.242791, 0.133753, -0.148923, -0.487692, 0.532366, -0.551264, -0.203803, 0.000000, 0.000000], [0.450677, 0.743646, 0.147538, -0.388706, 0.116216, -0.078395, 0.057331, 0.219275, 0.000000, 0.000000], [-0.395964, 0.178361, 0.279680, 0.063964, 0.432967, -0.483085, -0.540555, -0.126714, 0.000000, 0.000000], [-0.430887, 0.326950, 0.331554, 0.103957, -0.363973, -0.208066, 0.570364, -0.292613, 0.000000, 0.000000], [-0.348592, 0.145448, -0.051552, 0.273716, -0.195025, 0.001028, -0.049621, 0.859798, 0.000000, 0.000000], [-0.199011, 0.204026, 0.114791, 0.261996, 0.605772, 0.648100, 0.219446, -0.042429, 0.000000, 0.000000], [0.476142, 0.175503, 0.130665, 0.809679, -0.153389, -0.072034, -0.155410, -0.130246, 0.000000, 0.000000]]
### 4
pca: [[0.044862, 0.831713, 0.088183, 0.113878, -0.278345, 0.396006, 0.073900, 0.213865, 0.000000, 0.000000], [-0.190424, -0.331192, 0.243132, 0.371296, 0.301696, 0.673896, 0.328907, 0.061162, 0.000000, 0.000000], [-0.281398, -0.268997, 0.102367, 0.386793, -0.510864, -0.163217, -0.251142, 0.581097, 0.000000, 0.000000], [0.279792, -0.119427, -0.437614, 0.021154, -0.235118, -0.124298, 0.768238, 0.233624, 0.000000, 0.000000], [0.275592, -0.212655, -0.335091, -0.482038, 0.021980, 0.484370, -0.352971, 0.417725, 0.000000, 0.000000], [0.455055, 0.139434, -0.186417, 0.549394, 0.529098, -0.193886, -0.216652, 0.269114, 0.000000, 0.000000], [0.516822, -0.094304, 0.762835, -0.228250, -0.020916, -0.129887, 0.140562, 0.230043, 0.000000, 0.000000], [0.504110, -0.195921, -0.046582, 0.335889, -0.484123, 0.240579, -0.204484, -0.508361, 0.000000, 0.000000]]
### 6
pca: [[0.395093, -0.258109, -0.498267, 0.652286, 0.077488, -0.096136, 0.010165, -0.296957, 0.000000, 0.000000], [0.004665, 0.474523, -0.200845, 0.089730, 0.583677, -0.445746, 0.069610, 0.426851, 0.000000, 0.000000], [0.312352, -0.090350, -0.355268, -0.544324, 0.394415, 0.292737, -0.466566, -0.113253, 0.000000, 0.000000], [0.360336, -0.020986, 0.399313, -0.105322, 0.444593, 0.154967, 0.614094, -0.316836, 0.000000, 0.000000], [-0.220128, 0.730329, -0.205721, 0.132019, -0.057668, 0.403880, 0.024670, -0.437447, 0.000000, 0.000000], [0.437822, 0.147673, 0.047450, 0.214288, -0.163275, 0.570537, 0.047934, 0.619568, 0.000000, 0.000000], [0.539111, 0.311538, -0.142824, -0.355884, -0.515277, -0.408980, 0.154756, -0.092344, 0.000000, 0.000000], [0.292727, 0.217625, 0.600628, 0.262845, 0.067795, -0.162672, -0.611064, -0.180695, 0.000000, 0.000000]]
### 8
pca: [[-0.379052, -0.311078, 0.241090, 0.695737, 0.124686, 0.309152, -0.310990, -0.097670, 0.000000, 0.000000], [0.259508, 0.208440, -0.464728, 0.332821, 0.528507, 0.349660, 0.371473, 0.151304, 0.000000, 0.000000], [0.133647, -0.416311, -0.076293, -0.210072, 0.690031, -0.384524, -0.362294, -0.060123, 0.000000, 0.000000], [-0.417052, 0.069789, 0.240579, -0.094792, 0.196688, -0.108992, 0.122838, 0.829867, 0.000000, 0.000000], [0.537508, -0.215860, 0.706380, -0.079068, 0.114069, 0.287349, 0.247648, 0.048514, 0.000000, 0.000000], [-0.286537, 0.528947, 0.217849, -0.391058, 0.354083, 0.409961, -0.245220, -0.290088, 0.000000, 0.000000], [-0.471151, -0.438170, -0.057171, -0.253668, 0.099058, 0.092462, 0.631997, -0.317215, 0.000000, 0.000000], [0.064644, -0.404011, -0.335418, -0.358523, -0.205198, 0.602692, -0.313152, 0.296892, 0.000000, 0.000000]]
### 10
pca: [[-0.305323, 0.428763, 0.669844, -0.112594, 0.168387, 0.362315, -0.316086, 0.045113, 0.000000, 0.000000], [0.318160, -0.154517, -0.168867, 0.006941, -0.445669, 0.465407, -0.524904, 0.394443, 0.000000, 0.000000], [0.001026, 0.488477, -0.483534, -0.112825, 0.462690, -0.236174, -0.289858, 0.401218, 0.000000, 0.000000], [0.419708, -0.209167, 0.273138, -0.492537, 0.294220, 0.099811, 0.400990, 0.453404, 0.000000, 0.000000], [0.187517, 0.012742, -0.305535, 0.124618, 0.465955, 0.680719, 0.115338, -0.402490, 0.000000, 0.000000], [0.022495, 0.627460, -0.134403, 0.033166, -0.456537, 0.216747, 0.558074, 0.140615, 0.000000, 0.000000], [0.630119, 0.208480, 0.320845, 0.629480, 0.116080, -0.210524, -0.047317, 0.016280, 0.000000, 0.000000], [-0.443483, -0.269432, -0.005071, 0.564869, 0.182654, 0.178060, 0.229710, 0.542026, 0.000000, 0.000000]]
### 12
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
pca: [[-0.302904, 0.515400, 0.192402, -0.116805, -0.143975, 0.579811, -0.235616, 0.423706, 0.000000, 0.000000], [-0.009528, -0.222337, 0.514888, -0.159378, -0.436900, -0.505053, -0.246069, 0.391734, 0.000000, 0.000000], [-0.094767, -0.169174, 0.150578, 0.693685, -0.028394, 0.128258, -0.609833, -0.263387, 0.000000, 0.000000], [-0.089825, 0.557551, -0.129530, 0.510444, 0.151358, -0.513297, 0.162738, 0.301447, 0.000000, 0.000000], [0.438506, 0.154609, 0.611115, -0.067562, 0.633964, 0.027714, -0.051291, -0.021738, 0.000000, 0.000000], [-0.276392, -0.416627, -0.293737, -0.090572, 0.563508, -0.039799, -0.272724, 0.511899, 0.000000, 0.000000], [-0.227324, -0.370157, 0.356280, 0.395349, -0.006451, 0.269786, 0.638342, 0.218551, 0.000000, 0.000000], [0.755482, -0.104631, -0.267846, 0.223904, -0.212558, 0.231691, -0.032648, 0.443280, 0.000000, 0.000000]]
### 2
pca: [[0.179740, -0.394653, 0.859817, -0.112639, -0.013817, 0.092490, 0.023155, 0.225139, 0.000000, 0.000000], [-0.185201, 0.242791, 0.133753, -0.148923, -0.487692, 0.532366, -0.551264, -0.203803, 0.000000, 0.000000], [0.450677, 0.743646, 0.147538, -0.388706, 0.116216, -0.078395, 0.057331, 0.219275, 0.000000, 0.000000], [-0.395964, 0.178361, 0.279680, 0.063964, 0.432967, -0.483085, -0.540555, -0.126714, 0.000000, 0.000000], [-0.430887, 0.326950, 0.331554, 0.103957, -0.363973, -0.208066, 0.570364, -0.292613, 0.000000, 0.000000], [-0.348592, 0.145448, -0.051552, 0.273716, -0.195025, 0.001028, -0.049621, 0.859798, 0.000000, 0.000000], [-0.199011, 0.204026, 0.114791, 0.261996, 0.605772, 0.648100, 0.219446, -0.042429, 0.000000, 0.000000], [0.476142, 0.175503, 0.130665, 0.809679, -0.153389, -0.072034, -0.155410, -0.130246, 0.000000, 0.000000]]
### 4
pca: [[0.044862, 0.831713, 0.088183, 0.113878, -0.278345, 0.396006, 0.073900, 0.213865, 0.000000, 0.000000], [-0.190424, -0.331192, 0.243132, 0.371296, 0.301696, 0.673896, 0.328907, 0.061162, 0.000000, 0.000000], [-0.281398, -0.268997, 0.102367, 0.386793, -0.510864, -0.163217, -0.251142, 0.581097, 0.000000, 0.000000], [0.279792, -0.119427, -0.437614, 0.021154, -0.235118, -0.124298, 0.768238, 0.233624, 0.000000, 0.000000], [0.275592, -0.212655, -0.335091, -0.482038, 0.021980, 0.484370, -0.352971, 0.417725, 0.000000, 0.000000], [0.455055, 0.139434, -0.186417, 0.549394, 0.529098, -0.193886, -0.216652, 0.269114, 0.000000, 0.000000], [0.516822, -0.094304, 0.762835, -0.228250, -0.020916, -0.129887, 0.140562, 0.230043, 0.000000, 0.000000], [0.504110, -0.195921, -0.046582, 0.335889, -0.484123, 0.240579, -0.204484, -0.508361, 0.000000, 0.000000]]
### 6
pca: [[0.395093, -0.258109, -0.498267, 0.652286, 0.077488, -0.096136, 0.010165, -0.296957, 0.000000, 0.000000], [0.004665, 0.474523, -0.200845, 0.089730, 0.583677, -0.445746, 0.069610, 0.426851, 0.000000, 0.000000], [0.312352, -0.090350, -0.355268, -0.544324, 0.394415, 0.292737, -0.466566, -0.113253, 0.000000, 0.000000], [0.360336, -0.020986, 0.399313, -0.105322, 0.444593, 0.154967, 0.614094, -0.316836, 0.000000, 0.000000], [-0.220128, 0.730329, -0.205721, 0.132019, -0.057668, 0.403880, 0.024670, -0.437447, 0.000000, 0.000000], [0.437822, 0.147673, 0.047450, 0.214288, -0.163275, 0.570537, 0.047934, 0.619568, 0.000000, 0.000000], [0.539111, 0.311538, -0.142824, -0.355884, -0.515277, -0.408980, 0.154756, -0.092344, 0.000000, 0.000000], [0.292727, 0.217625, 0.600628, 0.262845, 0.067795, -0.162672, -0.611064, -0.180695, 0.000000, 0.000000]]
### 8
pca: [[-0.379052, -0.311078, 0.241090, 0.695737, 0.124686, 0.309152, -0.310990, -0.097670, 0.000000, 0.000000], [0.259508, 0.208440, -0.464728, 0.332821, 0.528507, 0.349660, 0.371473, 0.151304, 0.000000, 0.000000], [0.133647, -0.416311, -0.076293, -0.210072, 0.690031, -0.384524, -0.362294, -0.060123, 0.000000, 0.000000], [-0.417052, 0.069789, 0.240579, -0.094792, 0.196688, -0.108992, 0.122838, 0.829867, 0.000000, 0.000000], [0.537508, -0.215860, 0.706380, -0.079068, 0.114069, 0.287349, 0.247648, 0.048514, 0.000000, 0.000000], [-0.286537, 0.528947, 0.217849, -0.391058, 0.354083, 0.409961, -0.245220, -0.290088, 0.000000, 0.000000], [-0.471151, -0.438170, -0.057171, -0.253668, 0.099058, 0.092462, 0.631997, -0.317215, 0.000000, 0.000000], [0.064644, -0.404011, -0.335418, -0.358523, -0.205198, 0.602692, -0.313152, 0.296892, 0.000000, 0.000000]]
### 10
pca: [[-0.305323, 0.428763, 0.669844, -0.112594, 0.168387, 0.362315, -0.316086, 0.045113, 0.000000, 0.000000], [0.318160, -0.154517, -0.168867, 0.006941, -0.445669, 0.465407, -0.524904, 0.394443, 0.000000, 0.000000], [0.001026, 0.488477, -0.483534, -0.112825, 0.462690, -0.236174, -0.289858, 0.401218, 0.000000, 0.000000], [0.419708, -0.209167, 0.273138, -0.492537, 0.294220, 0.099811, 0.400990, 0.453404, 0.000000, 0.000000], [0.187517, 0.012742, -0.305535, 0.124618, 0.465955, 0.680719, 0.115338, -0.402490, 0.000000, 0.000000], [0.022495, 0.627460, -0.134403, 0.033166, -0.456537, 0.216747, 0.558074, 0.140615, 0.000000, 0.000000], [0.630119, 0.208480, 0.320845, 0.629480, 0.116080, -0.210524, -0.047317, 0.016280, 0.000000, 0.000000], [-0.443483, -0.269432, -0.005071, 0.564869, 0.182654, 0.178060, 0.229710, 0.542026, 0.000000, 0.000000]]
### 12
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
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"profile_methods": ["pca"]}}, "12": {"neuron_profiles": {"0": {"pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["pca"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.655552, 0.340664, 0.13419, 0.155989, 0.180451], [-0.243624, -0.369654, 0.373705, 0.216114, 0.106427], [-0.39735, 0.212796, 0.062542, 0.000109, 0.339982], [0.553163, 0.523061, -0.174295, -0.339658, 0.23419], [0.09976, -0.536107, 0.451228, -0.614477, -0.096651], [-0.509896, 0.273403, -0.069488, 0.526213, -0.110343], [-0.589522, 0.095354, 0.286854, 0.355855, 0.304956], [-0.139206, -0.61724, -0.341882, -0.922291, -0.25145]], "network.0.bias": [0.348207, -0.034412, 0.425111, 0.337453, -0.32002, 0.496737, -0.255913, 0.232798], "network.2.weight": [[-0.029822, 0.686688, 0.313314, -0.393051, 0.957832, -0.354928, -0.010842, -0.45771], [0.235742, 0.038302, -0.241384, 0.247828, -0.153614, 0.058688, -0.134457, 0.241078], [-0.24167, 0.560787, 0.176862, 0.35152, 0.575166, 1.083094, 0.717961, 0.151975], [0.403842, -0.253657, -0.264997, 0.305949, -0.293818, -0.390117, -0.155933, 0.085016], [0.576841, -0.307774, -0.49234, 0.261406, -0.391807, -0.365826, -0.036596, -0.064882], [0.395391, -0.342387, -0.294324, 0.129201, -0.676855, -0.322617, -0.192756, -0.09322], [0.148647, -0.074634, -0.258169, 0.321229, -0.427939, -0.215754, 0.175236, -0.037364], [0.013751, 0.641713, 0.571945, -0.583009, -0.215315, 0.206213, 0.503045, -0.006187]], "network.2.bias": [0.438091, -0.142558, 0.69393, 0.144501, 0.030355, 0.431827, -0.352985, 0.180108], "network.4.weight": [[0.360108, -0.621246, -0.797606, -0.361108, -0.317166, -0.165355, -0.171775, 0.104991], [-0.741362, 0.129386, 0.024609, 0.298508, 0.357921, 0.449849, -0.081153, -0.101672], [-0.696516, 0.043065, -0.193941, 0.150301, 0.696633, 0.304373, 0.373405, -0.180036], [0.798373, -0.043348, 0.476285, -0.087307, -0.355449, -0.18271, -0.136564, 0.396617], [0.720878, 0.099835, 0.699448, -0.208131, -0.262775, -0.201512, -0.120483, 0.12317], [0.785835, -0.476815, 0.328454, -0.260646, -0.469713, -0.365183, -0.89416, 0.859808], [-0.145956, -0.184627, 0.870813, -0.610126, -0.603668, -0.556702, -0.635386, 0.426785], [0.575993, -0.448182, 0.805343, -0.585496, -0.1955, -0.356261, -0.581168, 0.760176]], "network.4.bias": [-0.577245, 0.188127, 0.436291, 0.579217, 0.352358, 0.717792, 0.620002, 0.166389], "network.6.weight": [[0.097116, -0.570742, -0.344385, 0.585425, 0.112281, 0.697697, 0.936646, 0.496137], [0.015055, 0.328153, -0.04654, -0.21635, -0.30113, 0.139395, 0.111336, 0.259504], [-0.094551, -0.395092, -0.2557, 0.104333, 0.554546, 0.250121, 0.51937, 0.777231], [0.110142, -0.232261, -0.381711, 0.501332, 0.593689, 0.595741, 0.271907, 0.762597], [-0.420361, 0.229435, 0.500795, -0.680256, -0.580119, -0.241773, -0.273118, 0.065193], [0.250921, -0.670575, -0.105558, 0.463967, 0.459359, 0.798034, 0.63198, 0.888836], [-0.30948, -0.6016, -0.195753, 0.65558, 0.588446, 0.869849, 1.002123, 0.968915], [0.038482, -0.174865, -0.18461, 0.27345, 0.525134, 0.820784, 0.164766, 0.521017]], "network.6.bias": [0.134365, -0.020683, 0.50141, 0.362773, 0.311272, 0.478234, 0.202356, -0.046166], "network.8.weight": [[-0.464642, 0.135076, -0.730321, -0.624856, -0.196411, -0.321963, -0.676678, -0.143034], [0.821301, 0.066063, 0.329785, 0.374219, 0.084969, 0.464131, 0.090138, 0.012499], [0.735371, -0.876047, 0.325302, 0.196853, -0.229241, 0.27727, -0.170686, -0.23675], [-0.66318, 0.045717, -0.621882, -0.566902, 0.255074, -0.539787, -0.70992, -0.021502], [0.807987, -0.36713, 0.627536, 0.640019, -0.419006, 0.802303, 0.772423, 0.474121], [-0.655363, 0.235428, -0.471701, -0.305957, 0.624964, -0.12303, -0.60023, 0.080734], [-0.615027, -0.48193, -0.328247, -0.639471, -0.061988, -0.619638, -0.901312, -0.426922], [0.070041, -0.490062, 0.573821, 0.032266, -0.27196, 0.17359, -0.016591, -0.308515]], "network.8.bias": [0.27616, 0.286663, -0.53119, 0.610385, -0.118542, 0.535864, 0.50702, -0.304794], "network.10.weight": [[0.342438, 0.053895, -0.714475, 0.158068, -0.189943, 0.456966, 0.119733, -0.814321], [-0.197888, -0.161063, 0.62752, -0.541142, 0.334574, -0.11564, -0.261069, 0.359059], [0.208027, 0.25794, -0.108975, 0.092192, -0.055167, 0.198922, 0.983219, -0.337308], [-0.711995, 0.325978, 0.441817, -0.935234, 0.253742, -0.00501, -0.426644, 0.609856], [-0.032572, 0.369116, 0.199973, -0.148773, 0.040728, -0.131639, 0.223439, -0.059595], [0.36964, -0.241464, 0.045227, 0.481483, 0.221528, 0.056115, 0.234287, -0.669938], [-0.309872, 0.551902, -0.240559, -0.228745, 0.715366, -0.439564, -0.676679, -0.405497], [-0.046632, -0.01827, -0.462061, 0.146253, -0.46523, 0.154508, 0.660484, -0.381889]], "network.10.bias": [0.533632, -0.604693, 0.290473, -0.388098, 0.001719, -0.04652, 0.000832, 0.283668], "network.12.weight": [[0.382091, -0.314909, 0.17257, -0.404671, 0.16895, -0.038447, -0.750462, 0.120217]], "network.12.bias": [0.190625]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6729995310306549, "train_acc": 0.585, "val_loss": 0.7392985820770264, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6237123608589172, "train_acc": 0.585, "val_loss": 0.5784333348274231, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.4754364639520645, "train_acc": 0.68, "val_loss": 0.41299042105674744, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.3670709580183029, "train_acc": 0.9, "val_loss": 0.300309419631958, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.25340380519628525, "train_acc": 0.91, "val_loss": 1.999047040939331, "val_acc": 0.54}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.8903421014547348, "train_acc": 0.675, "val_loss": 0.24459989368915558, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.25417596101760864, "train_acc": 0.91, "val_loss": 0.5273788571357727, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.29972192645072937, "train_acc": 0.905, "val_loss": 0.2798493206501007, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.29404138028621674, "train_acc": 0.89, "val_loss": 0.501207709312439, "val_acc": 0.76}], "summary": {"total_epochs": 9, "degraded_epochs": 2, "improved_epochs": 7, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.7392985820770264, "final_val_loss": 0.5784333348274231, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.41299042105674744, "final_val_loss": 0.501207709312439, "initial_val_acc": 0.88, "final_val_acc": 0.76, "best_val_acc": 0.92, "best_epoch": 5}, "improvement": 0.46, "first_improvement_epoch": 1}}
|
3
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.46, "improved_accuracy": 0.96, "improvement": 0.49999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2065, "learning_rate": 0.039792056031946084, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "contains_abc", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["contains_abc"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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0.118738
],
[
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0.480619,
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[
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0.499394,
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],
[
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]
],
"network.0.bias": [
0.22676,
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"network.2.weight": [
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],
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[
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1.013551
],
[
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],
[
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[
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],
"network.2.bias": [
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[
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[
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[
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],
"network.8.bias": [
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"network.10.weight": [
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"network.12.bias": [
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]
}
## Activation Signature
### 0
pca: [[0.025776, 0.827192, 0.006234, -0.424063, -0.352213, -0.105669, 0.000000, 0.000000, 0.000000, 0.000000], [0.372447, 0.264452, -0.257897, 0.692509, -0.041957, -0.493466, 0.000000, 0.000000, 0.000000, 0.000000], [-0.242074, 0.475287, 0.025280, 0.416069, 0.415816, 0.607328, 0.000000, 0.000000, 0.000000, 0.000000], [0.442575, 0.117580, 0.216370, -0.320044, 0.766805, -0.230365, 0.000000, 0.000000, 0.000000, 0.000000], [0.593342, -0.073604, -0.603286, -0.169631, -0.083712, 0.492739, 0.000000, 0.000000, 0.000000, 0.000000], [0.504075, -0.026042, 0.722524, 0.190488, -0.326014, 0.283933, 0.000000, 0.000000, 0.000000, 0.000000]]
### 2
pca: [[-0.338562, 0.621779, -0.346117, 0.502610, 0.257477, 0.245070, 0.000000, 0.000000, 0.000000, 0.000000], [0.518722, 0.392489, 0.414907, -0.099220, -0.104161, 0.619708, 0.000000, 0.000000, 0.000000, 0.000000], [0.573038, -0.079628, -0.447844, -0.144641, 0.664935, -0.040780, 0.000000, 0.000000, 0.000000, 0.000000], [-0.023741, 0.656001, 0.136094, -0.488282, 0.050339, -0.556438, 0.000000, 0.000000, 0.000000, 0.000000], [0.520813, 0.104341, 0.031021, 0.631263, -0.307161, -0.473354, 0.000000, 0.000000, 0.000000, 0.000000], [-0.126968, -0.108527, 0.698575, 0.282321, 0.619545, -0.143362, 0.000000, 0.000000, 0.000000, 0.000000]]
### 4
pca: [[0.669143, -0.262376, -0.118878, -0.012606, -0.232868, 0.644118, 0.000000, 0.000000, 0.000000, 0.000000], [-0.144241, -0.279019, -0.267428, 0.453470, 0.744355, 0.264813, 0.000000, 0.000000, 0.000000, 0.000000], [-0.045219, 0.857009, -0.383197, 0.100597, -0.002588, 0.326382, 0.000000, 0.000000, 0.000000, 0.000000], [0.419983, 0.340764, 0.724246, 0.090985, 0.417806, -0.010997, 0.000000, 0.000000, 0.000000, 0.000000], [-0.123256, -0.008048, 0.236470, 0.845065, -0.463013, 0.017555, 0.000000, 0.000000, 0.000000, 0.000000], [0.581222, 0.051558, -0.432503, 0.248339, 0.052528, -0.638774, 0.000000, 0.000000, 0.000000, 0.000000]]
### 6
pca: [[-0.041503, 0.766080, 0.123221, 0.176556, -0.149371, -0.585433, 0.000000, 0.000000, 0.000000, 0.000000], [-0.034082, -0.065622, -0.423696, 0.897757, 0.026234, 0.091421, 0.000000, 0.000000, 0.000000, 0.000000], [0.444656, 0.553771, -0.163063, -0.083691, -0.130986, 0.666984, 0.000000, 0.000000, 0.000000, 0.000000], [0.589895, -0.314382, 0.206749, 0.136693, -0.673093, -0.196732, 0.000000, 0.000000, 0.000000, 0.000000], [-0.157101, 0.043942, 0.850209, 0.361924, 0.077995, 0.336838, 0.000000, 0.000000, 0.000000, 0.000000], [0.653254, -0.037235, 0.114487, 0.078626, 0.707605, -0.227769, 0.000000, 0.000000, 0.000000, 0.000000]]
### 8
pca: [[0.713779, -0.173167, -0.034831, -0.011749, 0.327284, 0.593352, 0.000000, 0.000000, 0.000000, 0.000000], [0.085750, 0.548092, -0.060221, 0.744448, -0.288001, 0.226867, 0.000000, 0.000000, 0.000000, 0.000000], [0.174717, 0.406591, 0.849567, -0.277325, -0.073772, -0.006444, 0.000000, 0.000000, 0.000000, 0.000000], [0.172185, 0.521012, -0.239828, -0.030179, 0.669217, -0.438883, 0.000000, 0.000000, 0.000000, 0.000000], [0.102382, -0.479436, 0.424978, 0.598494, 0.277444, -0.379319, 0.000000, 0.000000, 0.000000, 0.000000], [-0.642270, 0.054587, 0.187808, 0.098208, 0.528839, 0.509825, 0.000000, 0.000000, 0.000000, 0.000000]]
### 10
pca: [[0.550020, 0.336227, -0.397947, -0.237011, 0.136963, 0.592567, 0.000000, 0.000000, 0.000000, 0.000000], [-0.188570, 0.646359, -0.094937, -0.359992, 0.405875, -0.493274, 0.000000, 0.000000, 0.000000, 0.000000], [-0.419548, 0.457181, 0.491123, 0.263127, 0.087466, 0.544864, 0.000000, 0.000000, 0.000000, 0.000000], [-0.194037, -0.506526, 0.081595, -0.303159, 0.744868, 0.228887, 0.000000, 0.000000, 0.000000, 0.000000], [0.587668, 0.021298, 0.760933, -0.228973, 0.036026, -0.146451, 0.000000, 0.000000, 0.000000, 0.000000], [0.320774, 0.055992, -0.075808, 0.775024, 0.502722, -0.186630, 0.000000, 0.000000, 0.000000, 0.000000]]
### 12
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
contains_abc
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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0.480619,
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[
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[
0.852332,
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],
"network.0.bias": [
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"network.2.weight": [
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"network.4.bias": [
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],
"network.8.bias": [
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],
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"network.12.bias": [
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}
## Activation Signature
### 0
pca: [[0.025776, 0.827192, 0.006234, -0.424063, -0.352213, -0.105669, 0.000000, 0.000000, 0.000000, 0.000000], [0.372447, 0.264452, -0.257897, 0.692509, -0.041957, -0.493466, 0.000000, 0.000000, 0.000000, 0.000000], [-0.242074, 0.475287, 0.025280, 0.416069, 0.415816, 0.607328, 0.000000, 0.000000, 0.000000, 0.000000], [0.442575, 0.117580, 0.216370, -0.320044, 0.766805, -0.230365, 0.000000, 0.000000, 0.000000, 0.000000], [0.593342, -0.073604, -0.603286, -0.169631, -0.083712, 0.492739, 0.000000, 0.000000, 0.000000, 0.000000], [0.504075, -0.026042, 0.722524, 0.190488, -0.326014, 0.283933, 0.000000, 0.000000, 0.000000, 0.000000]]
### 2
pca: [[-0.338562, 0.621779, -0.346117, 0.502610, 0.257477, 0.245070, 0.000000, 0.000000, 0.000000, 0.000000], [0.518722, 0.392489, 0.414907, -0.099220, -0.104161, 0.619708, 0.000000, 0.000000, 0.000000, 0.000000], [0.573038, -0.079628, -0.447844, -0.144641, 0.664935, -0.040780, 0.000000, 0.000000, 0.000000, 0.000000], [-0.023741, 0.656001, 0.136094, -0.488282, 0.050339, -0.556438, 0.000000, 0.000000, 0.000000, 0.000000], [0.520813, 0.104341, 0.031021, 0.631263, -0.307161, -0.473354, 0.000000, 0.000000, 0.000000, 0.000000], [-0.126968, -0.108527, 0.698575, 0.282321, 0.619545, -0.143362, 0.000000, 0.000000, 0.000000, 0.000000]]
### 4
pca: [[0.669143, -0.262376, -0.118878, -0.012606, -0.232868, 0.644118, 0.000000, 0.000000, 0.000000, 0.000000], [-0.144241, -0.279019, -0.267428, 0.453470, 0.744355, 0.264813, 0.000000, 0.000000, 0.000000, 0.000000], [-0.045219, 0.857009, -0.383197, 0.100597, -0.002588, 0.326382, 0.000000, 0.000000, 0.000000, 0.000000], [0.419983, 0.340764, 0.724246, 0.090985, 0.417806, -0.010997, 0.000000, 0.000000, 0.000000, 0.000000], [-0.123256, -0.008048, 0.236470, 0.845065, -0.463013, 0.017555, 0.000000, 0.000000, 0.000000, 0.000000], [0.581222, 0.051558, -0.432503, 0.248339, 0.052528, -0.638774, 0.000000, 0.000000, 0.000000, 0.000000]]
### 6
pca: [[-0.041503, 0.766080, 0.123221, 0.176556, -0.149371, -0.585433, 0.000000, 0.000000, 0.000000, 0.000000], [-0.034082, -0.065622, -0.423696, 0.897757, 0.026234, 0.091421, 0.000000, 0.000000, 0.000000, 0.000000], [0.444656, 0.553771, -0.163063, -0.083691, -0.130986, 0.666984, 0.000000, 0.000000, 0.000000, 0.000000], [0.589895, -0.314382, 0.206749, 0.136693, -0.673093, -0.196732, 0.000000, 0.000000, 0.000000, 0.000000], [-0.157101, 0.043942, 0.850209, 0.361924, 0.077995, 0.336838, 0.000000, 0.000000, 0.000000, 0.000000], [0.653254, -0.037235, 0.114487, 0.078626, 0.707605, -0.227769, 0.000000, 0.000000, 0.000000, 0.000000]]
### 8
pca: [[0.713779, -0.173167, -0.034831, -0.011749, 0.327284, 0.593352, 0.000000, 0.000000, 0.000000, 0.000000], [0.085750, 0.548092, -0.060221, 0.744448, -0.288001, 0.226867, 0.000000, 0.000000, 0.000000, 0.000000], [0.174717, 0.406591, 0.849567, -0.277325, -0.073772, -0.006444, 0.000000, 0.000000, 0.000000, 0.000000], [0.172185, 0.521012, -0.239828, -0.030179, 0.669217, -0.438883, 0.000000, 0.000000, 0.000000, 0.000000], [0.102382, -0.479436, 0.424978, 0.598494, 0.277444, -0.379319, 0.000000, 0.000000, 0.000000, 0.000000], [-0.642270, 0.054587, 0.187808, 0.098208, 0.528839, 0.509825, 0.000000, 0.000000, 0.000000, 0.000000]]
### 10
pca: [[0.550020, 0.336227, -0.397947, -0.237011, 0.136963, 0.592567, 0.000000, 0.000000, 0.000000, 0.000000], [-0.188570, 0.646359, -0.094937, -0.359992, 0.405875, -0.493274, 0.000000, 0.000000, 0.000000, 0.000000], [-0.419548, 0.457181, 0.491123, 0.263127, 0.087466, 0.544864, 0.000000, 0.000000, 0.000000, 0.000000], [-0.194037, -0.506526, 0.081595, -0.303159, 0.744868, 0.228887, 0.000000, 0.000000, 0.000000, 0.000000], [0.587668, 0.021298, 0.760933, -0.228973, 0.036026, -0.146451, 0.000000, 0.000000, 0.000000, 0.000000], [0.320774, 0.055992, -0.075808, 0.775024, 0.502722, -0.186630, 0.000000, 0.000000, 0.000000, 0.000000]]
### 12
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
contains_abc
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.025776227936148643, 0.8271920680999756, 0.006233554799109697, -0.42406338453292847, -0.35221344232559204, -0.10566909611225128, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [0.372446745634079, 0.264452189207077, -0.2578968107700348, 0.6925085783004761, -0.041957419365644455, -0.49346646666526794, 0.0, 0.0, 0.0, 0.0]}, "2": {"pca": [-0.24207410216331482, 0.4752868115901947, 0.025280339643359184, 0.4160690903663635, 0.4158155024051666, 0.6073281168937683, 0.0, 0.0, 0.0, 0.0]}, "3": {"pca": [0.44257503747940063, 0.11757982522249222, 0.21636980772018433, -0.3200438320636749, 0.7668052315711975, -0.23036515712738037, 0.0, 0.0, 0.0, 0.0]}, "4": {"pca": [0.5933417677879333, -0.07360447198152542, -0.6032859683036804, -0.16963127255439758, -0.08371173590421677, 0.49273881316185, 0.0, 0.0, 0.0, 0.0]}, "5": {"pca": [0.5040754079818726, -0.026041554287075996, 0.7225243449211121, 0.19048833847045898, -0.3260135352611542, 0.2839326858520508, 0.0, 0.0, 0.0, 0.0]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["pca"]}}, "2": {"neuron_profiles": {"0": {"pca": [-0.3385617434978485, 0.6217788457870483, -0.3461166024208069, 0.50260990858078, 0.2574765384197235, 0.24507036805152893, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [0.5187221765518188, 0.3924892842769623, 0.41490665078163147, -0.09922003000974655, -0.10416112095117569, 0.6197078227996826, 0.0, 0.0, 0.0, 0.0]}, "2": {"pca": [0.5730377435684204, -0.07962797582149506, -0.4478440284729004, -0.1446407437324524, 0.6649352312088013, -0.04077993333339691, 0.0, 0.0, 0.0, 0.0]}, "3": {"pca": [-0.023740829899907112, 0.6560011506080627, 0.13609446585178375, -0.4882824420928955, 0.050339475274086, -0.5564380884170532, 0.0, 0.0, 0.0, 0.0]}, "4": {"pca": [0.5208133459091187, 0.10434075444936752, 0.031020618975162506, 0.6312628984451294, -0.30716055631637573, -0.47335371375083923, 0.0, 0.0, 0.0, 0.0]}, "5": {"pca": [-0.12696772813796997, -0.10852690041065216, 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0.017554789781570435, 0.0, 0.0, 0.0, 0.0]}, "5": {"pca": [0.5812221765518188, 0.051558416336774826, -0.4325030446052551, 0.24833928048610687, 0.05252779647707939, -0.6387739181518555, 0.0, 0.0, 0.0, 0.0]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["pca"]}}, "6": {"neuron_profiles": {"0": {"pca": [-0.04150254279375076, 0.7660795450210571, 0.12322111427783966, 0.17655642330646515, -0.14937105774879456, -0.5854334831237793, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [-0.03408178687095642, -0.06562194228172302, -0.4236963093280792, 0.8977570533752441, 0.026234330609440804, 0.09142055362462997, 0.0, 0.0, 0.0, 0.0]}, "2": {"pca": [0.4446558356285095, 0.5537711381912231, -0.16306273639202118, -0.08369147032499313, -0.13098569214344025, 0.6669840812683105, 0.0, 0.0, 0.0, 0.0]}, "3": {"pca": [0.5898948907852173, -0.31438207626342773, 0.20674936473369598, 0.1366925835609436, -0.6730931401252747, -0.19673173129558563, 0.0, 0.0, 0.0, 0.0]}, "4": {"pca": [-0.15710094571113586, 0.04394180327653885, 0.8502094149589539, 0.3619239330291748, 0.07799545675516129, 0.33683842420578003, 0.0, 0.0, 0.0, 0.0]}, "5": {"pca": [0.6532537341117859, -0.03723535314202309, 0.11448655277490616, 0.07862632721662521, 0.7076051831245422, -0.2277688831090927, 0.0, 0.0, 0.0, 0.0]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["pca"]}}, "8": {"neuron_profiles": {"0": {"pca": [0.7137787938117981, -0.17316703498363495, -0.03483104333281517, -0.011749145574867725, 0.3272840082645416, 0.5933523178100586, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [0.08575043082237244, 0.5480919480323792, -0.060220811516046524, 0.744447648525238, -0.28800129890441895, 0.22686675190925598, 0.0, 0.0, 0.0, 0.0]}, "2": {"pca": [0.1747172325849533, 0.4065907597541809, 0.8495673537254333, -0.2773251235485077, -0.07377231866121292, -0.006444492377340794, 0.0, 0.0, 0.0, 0.0]}, "3": {"pca": [0.17218533158302307, 0.5210118293762207, -0.23982830345630646, -0.030178703367710114, 0.6692174673080444, -0.4388832449913025, 0.0, 0.0, 0.0, 0.0]}, "4": {"pca": [0.10238224267959595, -0.4794364869594574, 0.42497754096984863, 0.5984939336776733, 0.2774437367916107, -0.37931862473487854, 0.0, 0.0, 0.0, 0.0]}, "5": {"pca": [-0.6422699093818665, 0.05458667501807213, 0.18780837953090668, 0.09820754826068878, 0.5288393497467041, 0.5098253488540649, 0.0, 0.0, 0.0, 0.0]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["pca"]}}, "10": {"neuron_profiles": {"0": {"pca": [0.5500196814537048, 0.33622658252716064, -0.39794716238975525, -0.237010657787323, 0.1369630992412567, 0.5925665497779846, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [-0.18856967985630035, 0.6463586091995239, -0.09493736922740936, -0.35999220609664917, 0.40587541460990906, -0.49327439069747925, 0.0, 0.0, 0.0, 0.0]}, "2": {"pca": [-0.41954752802848816, 0.45718124508857727, 0.49112337827682495, 0.2631267011165619, 0.08746558427810669, 0.544864296913147, 0.0, 0.0, 0.0, 0.0]}, "3": {"pca": [-0.19403697550296783, -0.5065261721611023, 0.08159469813108444, -0.30315884947776794, 0.7448682188987732, 0.2288869470357895, 0.0, 0.0, 0.0, 0.0]}, "4": {"pca": [0.5876678824424744, 0.021297696977853775, 0.7609325051307678, -0.22897320985794067, 0.0360260084271431, -0.14645132422447205, 0.0, 0.0, 0.0, 0.0]}, "5": {"pca": [0.320773720741272, 0.055992431938648224, -0.07580775022506714, 0.7750238180160522, 0.5027220845222473, -0.18663042783737183, 0.0, 0.0, 0.0, 0.0]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["pca"]}}, "12": {"neuron_profiles": {"0": {"pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["pca"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.08475, 0.723148, -0.511612, 0.311441, -0.507764], [0.799684, 0.182838, -0.037418, 0.35521, 0.066377], [-0.331341, 0.373451, -0.718474, 0.092966, 0.118738], [0.468222, 0.547857, 0.480619, 0.038576, -0.020121], [0.955198, -0.10681, 0.767495, 0.499394, -0.195469], [0.852332, 0.417944, 0.339402, -0.300955, -0.0047]], "network.0.bias": [0.22676, 0.015724, 0.186517, 0.282889, -0.257915, -0.12431], "network.2.weight": [[0.593109, 0.234364, 0.825284, -0.213635, -0.402258, -0.541068], [0.429681, 0.30163, 0.175211, 0.559436, -0.023937, 0.734272], [-0.291345, 0.357348, 0.439947, 0.015566, 0.369261, 1.013551], [0.798021, 0.106476, 0.496143, 0.036149, -0.40609, 0.183981], [-0.074282, 0.381529, 0.342435, 0.477321, 0.252805, 0.532029], [0.012199, -0.038866, -0.929819, 0.441504, -0.223764, -0.534573]], "network.2.bias": [-0.272777, -0.538441, -0.052757, -0.626465, -0.323104, 0.736215], "network.4.weight": [[1.057931, 0.56327, 0.565698, 0.856298, 0.411347, -0.427611], [0.029802, 0.090524, -0.008532, 0.164808, -0.47868, 0.03006], [-0.977441, 0.22028, -0.099944, -0.922673, -0.056264, 0.784315], [0.473253, 0.070602, 0.535672, -0.055242, 0.421205, -0.314], [0.062432, 0.084626, -0.150826, -0.455712, -0.245101, -0.435327], [0.482667, 0.687101, 0.493426, 0.517453, 0.206317, -0.130316]], "network.4.bias": [-0.03487, -0.705568, 0.77754, -0.360936, -0.368704, -0.396904], "network.6.weight": [[-0.105418, -0.333672, 0.848144, 0.064868, -0.772483, 0.001106], [0.045514, 0.176807, -0.200033, 0.199109, 0.276246, -0.300001], [0.248505, 0.112655, 0.14361, 0.590753, -0.333957, 0.49689], [0.642126, 0.370058, -0.590977, 0.489148, -0.180384, 0.482095], [0.091166, -1.023647, 0.610008, -0.381066, -0.095227, -0.224733], [0.61472, 0.056362, -0.418315, 0.637684, 0.445604, 0.578916]], "network.6.bias": [0.544636, -0.3329, 0.343142, -0.291, 0.472301, -0.096919], "network.8.weight": [[0.797058, -0.937473, -0.494053, -0.633414, 0.528736, -0.496757], [0.502826, -0.137995, 0.340073, -0.268508, 0.549733, -0.113527], [0.224722, 0.01626, 0.121561, -0.249326, 1.001108, -0.160486], [0.80887, -0.511886, 0.203373, -0.187174, 0.414678, -0.256485], [-0.588415, -0.17554, -0.136429, 0.124915, 0.026378, -0.266732], [-0.887128, -0.228657, 0.372347, 0.547647, -0.430882, 0.513072]], "network.8.bias": [0.271265, 0.466917, 0.502815, 0.267991, 0.018316, 0.347101], "network.10.weight": [[-0.4052, -0.230034, -0.371045, 0.018422, -0.10166, 0.694628], [0.451882, 0.453142, 0.401653, 0.720086, -0.656281, -0.103001], [0.543244, 0.348882, 0.899458, 0.522191, -0.123895, -0.409458], [0.093066, -0.019415, -0.339226, -0.229991, 0.422426, -0.311566], [-0.475574, -0.751893, -0.194251, -0.459316, -0.043572, 0.672747], [-0.392927, -0.462257, -0.168325, 0.080743, 0.212068, 0.375429]], "network.10.bias": [-0.235882, 0.103606, 0.660997, -0.576327, 0.046674, -0.162407], "network.12.weight": [[-0.617657, 0.350061, 0.397185, -0.441135, -0.431164, -0.352394]], "network.12.bias": [0.164626]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6875585615634918, "train_acc": 0.59, "val_loss": 0.7066342234611511, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6787996888160706, "train_acc": 0.59, "val_loss": 0.711582362651825, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6496410369873047, "train_acc": 0.59, "val_loss": 0.697517991065979, "val_acc": 0.46}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6093522906303406, "train_acc": 0.59, "val_loss": 0.6692865490913391, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5947275161743164, "train_acc": 0.51, "val_loss": 0.5608510971069336, "val_acc": 0.46}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5150619149208069, "train_acc": 0.63, "val_loss": 0.4344058930873871, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.40586408972740173, "train_acc": 0.87, "val_loss": 0.2984028458595276, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.28505830466747284, "train_acc": 0.905, "val_loss": 0.19598689675331116, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.1884617805480957, "train_acc": 0.93, "val_loss": 0.4060324430465698, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.2144789770245552, "train_acc": 0.91, "val_loss": 0.17426668107509613, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.1672755554318428, "train_acc": 0.95, "val_loss": 0.14661766588687897, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.09485868737101555, "train_acc": 0.97, "val_loss": 0.29255983233451843, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.1095535047352314, "train_acc": 0.955, "val_loss": 0.12837283313274384, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.12269648909568787, "train_acc": 0.955, "val_loss": 0.13365304470062256, "val_acc": 0.96}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.7066342234611511, "final_val_loss": 0.6692865490913391, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.5608510971069336, "final_val_loss": 0.13365304470062256, "initial_val_acc": 0.46, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 9}, "improvement": 0.49999999999999994, "first_improvement_epoch": 3}}
|
4
| "{\"target_pattern\": \"has_majority\", \"degraded_accuracy\": 0.58, \"improved_accuracy\": 0.76, \"(...TRUNCATED)
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
|
has_majority
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
| "{\"neuron_activations\": {\"0\": {\"neuron_profiles\": {\"0\": {\"pca\": [0.7428345084190369, 0.444(...TRUNCATED)
| "{\"config\": {\"vocab_size\": 10, \"sequence_length\": 5, \"num_layers\": 4, \"neurons_per_layer\":(...TRUNCATED)
| "{\"training_history\": [{\"stage\": \"degraded\", \"epoch\": 0, \"global_epoch\": 0, \"train_loss\"(...TRUNCATED)
|
5
| "{\"target_pattern\": \"ends_with\", \"degraded_accuracy\": 0.76, \"improved_accuracy\": 0.92, \"imp(...TRUNCATED)
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
|
ends_with
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
| "{\"neuron_activations\": {\"0\": {\"neuron_profiles\": {\"0\": {\"pca\": [-0.3935125470161438, -0.4(...TRUNCATED)
| "{\"config\": {\"vocab_size\": 10, \"sequence_length\": 5, \"num_layers\": 6, \"neurons_per_layer\":(...TRUNCATED)
| "{\"training_history\": [{\"stage\": \"degraded\", \"epoch\": 0, \"global_epoch\": 0, \"train_loss\"(...TRUNCATED)
|
6
| "{\"target_pattern\": \"mountain_pattern\", \"degraded_accuracy\": 0.5, \"improved_accuracy\": 0.92,(...TRUNCATED)
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
|
mountain_pattern
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
| "{\"neuron_activations\": {\"0\": {\"neuron_profiles\": {\"0\": {\"pca\": [0.47299471497535706, -0.3(...TRUNCATED)
| "{\"config\": {\"vocab_size\": 10, \"sequence_length\": 5, \"num_layers\": 5, \"neurons_per_layer\":(...TRUNCATED)
| "{\"training_history\": [{\"stage\": \"degraded\", \"epoch\": 0, \"global_epoch\": 0, \"train_loss\"(...TRUNCATED)
|
7
| "{\"target_pattern\": \"palindrome\", \"degraded_accuracy\": 0.48, \"improved_accuracy\": 0.78, \"im(...TRUNCATED)
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
|
palindrome
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
| "{\"neuron_activations\": {\"0\": {\"neuron_profiles\": {\"0\": {\"pca\": [0.5055093765258789, 0.534(...TRUNCATED)
| "{\"config\": {\"vocab_size\": 10, \"sequence_length\": 5, \"num_layers\": 5, \"neurons_per_layer\":(...TRUNCATED)
| "{\"training_history\": [{\"stage\": \"degraded\", \"epoch\": 0, \"global_epoch\": 0, \"train_loss\"(...TRUNCATED)
|
8
| "{\"target_pattern\": \"contains_abc\", \"degraded_accuracy\": 0.56, \"improved_accuracy\": 0.94, \"(...TRUNCATED)
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
|
contains_abc
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
| "{\"neuron_activations\": {\"0\": {\"neuron_profiles\": {\"0\": {\"pca\": [-0.4225125312805176, 0.11(...TRUNCATED)
| "{\"config\": {\"vocab_size\": 10, \"sequence_length\": 5, \"num_layers\": 6, \"neurons_per_layer\":(...TRUNCATED)
| "{\"training_history\": [{\"stage\": \"degraded\", \"epoch\": 0, \"global_epoch\": 0, \"train_loss\"(...TRUNCATED)
|
9
| "{\"target_pattern\": \"no_repeats\", \"degraded_accuracy\": 0.44, \"improved_accuracy\": 0.84, \"im(...TRUNCATED)
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
|
no_repeats
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
| "{\"neuron_activations\": {\"0\": {\"neuron_profiles\": {\"0\": {\"pca\": [0.3385349214076996, -0.07(...TRUNCATED)
| "{\"config\": {\"vocab_size\": 10, \"sequence_length\": 5, \"num_layers\": 5, \"neurons_per_layer\":(...TRUNCATED)
| "{\"training_history\": [{\"stage\": \"degraded\", \"epoch\": 0, \"global_epoch\": 0, \"train_loss\"(...TRUNCATED)
|
End of preview. Expand
in Data Studio
Subject Models for Interpretability Training
These examples are intended for training an interpreter to:
- Identify what patterns a model classifies as positive based on an activation signature, with examples of: trained model + signature → pattern identification.
| Signature Extraction | |
|---|---|
| Neuron Profile Methods | pca |
| Prompt Format | separate |
| Signature Dataset | dataset_generation/exp_1/signature_dataset.json |
| Model Architecture | |
|---|---|
| Number of Layers | 4 to 6 |
| Neurons per Layer | 5 to 8 |
| Activation Types | relu, gelu |
| Pattern Vocab Size | 10 |
| Pattern Sequence Len | 5 |
| Training Datasets | |
|---|---|
| Enabled Patterns | palindrome, sorted_ascending, sorted_descending, alternating, contains_abc, starts_with, ends_with, no_repeats, has_majority, increasing_pairs, decreasing_pairs, vowel_consonant, first_last_match, mountain_pattern |
| Patterns per Batch | 1-1 |
| Pos/Neg Ratio | 1:1 |
| Target Total Examples per Subject Model | 250 |
| Staged Training | |
|---|---|
| Min Improvement Threshold | 0.05 (5.0%) |
| Corruption Rate | 0.15 (15.0%) |
Token Count Statistics
| Task Type | Min Tokens | Max Tokens | Avg Tokens |
|---|---|---|---|
| Classification | 2628 | 6519 | 4316.2 |
Dataset Fields
| Field | Description |
|---|---|
| example_id | Unique identifier for each example |
| metadata | JSON string containing: |
- target_pattern: The pattern that was corrupted during training |
|
- degraded_accuracy: Accuracy of the model trained on corrupted data |
|
- improved_accuracy: Accuracy of the model after training on clean data |
|
- improvement: Delta between degraded and improved accuracy |
|
- model_config: Subject model architecture and hyperparameters |
|
- corruption_stats: Details about label corruption |
|
- selected_patterns: All patterns in the subject model's training dataset |
|
- precision: Model weight precision |
|
- quantization: Quantization type applied to weights |
|
- config_signature: Hash of critical config fields for validation |
|
| classification_prompt | Input prompt with improved model weights and signature |
| classification_completion | Target completion identifying the pattern |
| classification_text | Full concatenated text (prompt + completion) |
- Downloads last month
- 219
Size of downloaded dataset files:
122 MB
Size of the auto-converted Parquet files:
122 MB
Number of rows:
8,300
Models trained or fine-tuned on maximuspowers/muat-pca-10