example_id
int64 0
10k
| metadata
stringlengths 679
723
| classification_prompt
stringlengths 7.66k
18.5k
| classification_completion
stringclasses 14
values | classification_text
stringlengths 7.68k
18.6k
| improved_signature
stringlengths 7.3k
18.8k
| improved_model_weights
stringlengths 1.77k
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| training_metrics
stringlengths 1.46k
2.92k
|
|---|---|---|---|---|---|---|---|
9,400
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{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.46, "improved_accuracy": 0.88, "improvement": 0.42, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4399, "learning_rate": 0.06833648296774131, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "increasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["increasing_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: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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## Activation Signature
### 0
mean: [-0.817708, -0.405891, 2.365065, 0.632964, -0.939403, -0.028553]
std: [0.687286, 1.036751, 1.924686, 1.834805, 0.635589, 1.285559]
pca: [[0.006196, -0.383647, 0.071222, 0.180337, 0.508498, 0.746065, 0.000000, 0.000000, 0.000000, 0.000000], [-0.380701, 0.050459, 0.078734, 0.847425, 0.182817, -0.307848, 0.000000, 0.000000, 0.000000, 0.000000], [0.634554, 0.548819, 0.423760, 0.142766, 0.309994, -0.009299, 0.000000, 0.000000, 0.000000, 0.000000], [-0.533574, 0.688662, -0.216665, -0.233939, 0.284181, 0.242100, 0.000000, 0.000000, 0.000000, 0.000000], [0.135521, -0.207416, -0.384475, -0.223108, 0.703237, -0.496460, 0.000000, 0.000000, 0.000000, 0.000000], [-0.386396, -0.178296, 0.783831, -0.352792, 0.191337, -0.208437, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.187747, 11.520387, 12.982401, 13.423583, 73.593742], [15.294870, 15.384939, 17.107986, 19.636854, 36.530184], [33.876438, 34.042733, 38.651897, 39.201210, 212.855844], [29.591014, 30.976570, 31.779656, 32.750874, 56.966764], [9.999546, 10.310331, 11.251577, 11.940044, 84.546272], [19.823752, 20.447725, 21.315446, 21.893890, 24.524281]]
### 2
mean: [0.275148, 0.927200, 1.461427, -0.540139, -0.517017, -0.846880]
std: [0.716106, 0.673143, 1.392184, 0.622196, 0.549166, 0.762226]
pca: [[-0.222524, 0.542488, 0.244688, 0.325617, 0.443246, 0.542055, 0.000000, 0.000000, 0.000000, 0.000000], [0.368286, 0.057600, 0.789066, -0.406089, -0.218763, 0.160180, 0.000000, 0.000000, 0.000000, 0.000000], [0.751560, 0.516349, -0.394673, 0.049771, -0.099244, 0.021181, 0.000000, 0.000000, 0.000000, 0.000000], [0.165998, -0.493734, -0.248005, -0.001516, -0.155077, 0.801944, 0.000000, 0.000000, 0.000000, 0.000000], [0.268869, -0.258409, 0.313402, 0.845340, -0.162255, -0.147606, 0.000000, 0.000000, 0.000000, 0.000000], [0.387506, -0.353871, 0.044828, -0.109482, 0.833937, -0.123159, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.480061, 11.721507, 11.744520, 17.044207, 24.763314], [10.113078, 12.473029, 13.122326, 15.957620, 83.448034], [21.808680, 22.387863, 22.812436, 35.281426, 131.528411], [9.644899, 9.763026, 10.040683, 15.056562, 48.612547], [8.867660, 10.005988, 10.995403, 11.433634, 46.531573], [12.336216, 14.927477, 14.929612, 15.940629, 76.219224]]
### 4
mean: [1.334578, -0.842421, -0.593732, -0.577656, 2.165038, 1.541587]
std: [0.858744, 0.998403, 0.723779, 0.784006, 1.251440, 0.926122]
pca: [[0.379126, -0.091174, -0.053304, -0.165116, 0.864776, -0.264591, 0.000000, 0.000000, 0.000000, 0.000000], [-0.431437, -0.439397, 0.665317, -0.132097, 0.036464, -0.399208, 0.000000, 0.000000, 0.000000, 0.000000], [-0.294081, 0.765988, 0.238181, -0.496706, 0.144594, 0.049239, 0.000000, 0.000000, 0.000000, 0.000000], [-0.343335, 0.254333, 0.159776, 0.795044, 0.378420, 0.128885, 0.000000, 0.000000, 0.000000, 0.000000], [0.548938, 0.367773, 0.350685, 0.273173, -0.290432, -0.530524, 0.000000, 0.000000, 0.000000, 0.000000], [0.405500, -0.109263, 0.590994, -0.043039, 0.048704, 0.685663, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.275200, 13.334264, 17.163213, 23.011553, 120.112020], [16.605260, 17.006947, 17.370976, 25.528815, 75.817853], [10.610093, 12.508077, 16.058256, 18.231331, 53.435875], [11.422676, 12.707902, 16.381910, 21.175542, 51.989003], [18.419058, 20.321155, 22.746699, 33.348126, 194.853431], [12.738219, 13.637757, 18.311179, 25.151003, 138.742886]]
### 6
mean: [2.629892, 3.514554, 3.091585, 2.804854, -1.635652, -1.256377]
std: [1.639619, 2.250121, 2.000647, 1.786512, 1.101063, 0.832341]
pca: [[0.399715, -0.060048, 0.578623, 0.577570, 0.063130, 0.405272, 0.000000, 0.000000, 0.000000, 0.000000], [0.547795, 0.746959, -0.130351, 0.064523, -0.154426, -0.311401, 0.000000, 0.000000, 0.000000, 0.000000], [0.487552, -0.370807, -0.529221, 0.136650, 0.567478, -0.063362, 0.000000, 0.000000, 0.000000, 0.000000], [0.435535, -0.205056, -0.187450, -0.442000, -0.518680, 0.518393, 0.000000, 0.000000, 0.000000, 0.000000], [-0.268346, 0.047823, -0.557255, 0.648380, -0.391212, 0.204272, 0.000000, 0.000000, 0.000000, 0.000000], [-0.201844, 0.506570, -0.149862, -0.166779, 0.477557, 0.651392, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.282902, 25.020965, 32.562216, 44.600040, 236.690313], [31.276260, 35.320833, 42.947282, 60.752064, 316.309887], [28.064168, 30.326527, 39.595242, 54.711027, 278.242683], [24.966754, 27.097296, 35.298786, 48.767494, 252.436912], [15.325233, 16.609915, 21.917939, 29.946277, 147.208718], [11.858284, 12.078611, 17.117064, 22.831090, 113.073913]]
### 8
mean: [-5.490654]
std: [3.184547]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[45.098587, 50.537313, 59.157546, 85.638201, 494.158852]]
## 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.
|
increasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
mean: [-0.817708, -0.405891, 2.365065, 0.632964, -0.939403, -0.028553]
std: [0.687286, 1.036751, 1.924686, 1.834805, 0.635589, 1.285559]
pca: [[0.006196, -0.383647, 0.071222, 0.180337, 0.508498, 0.746065, 0.000000, 0.000000, 0.000000, 0.000000], [-0.380701, 0.050459, 0.078734, 0.847425, 0.182817, -0.307848, 0.000000, 0.000000, 0.000000, 0.000000], [0.634554, 0.548819, 0.423760, 0.142766, 0.309994, -0.009299, 0.000000, 0.000000, 0.000000, 0.000000], [-0.533574, 0.688662, -0.216665, -0.233939, 0.284181, 0.242100, 0.000000, 0.000000, 0.000000, 0.000000], [0.135521, -0.207416, -0.384475, -0.223108, 0.703237, -0.496460, 0.000000, 0.000000, 0.000000, 0.000000], [-0.386396, -0.178296, 0.783831, -0.352792, 0.191337, -0.208437, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.187747, 11.520387, 12.982401, 13.423583, 73.593742], [15.294870, 15.384939, 17.107986, 19.636854, 36.530184], [33.876438, 34.042733, 38.651897, 39.201210, 212.855844], [29.591014, 30.976570, 31.779656, 32.750874, 56.966764], [9.999546, 10.310331, 11.251577, 11.940044, 84.546272], [19.823752, 20.447725, 21.315446, 21.893890, 24.524281]]
### 2
mean: [0.275148, 0.927200, 1.461427, -0.540139, -0.517017, -0.846880]
std: [0.716106, 0.673143, 1.392184, 0.622196, 0.549166, 0.762226]
pca: [[-0.222524, 0.542488, 0.244688, 0.325617, 0.443246, 0.542055, 0.000000, 0.000000, 0.000000, 0.000000], [0.368286, 0.057600, 0.789066, -0.406089, -0.218763, 0.160180, 0.000000, 0.000000, 0.000000, 0.000000], [0.751560, 0.516349, -0.394673, 0.049771, -0.099244, 0.021181, 0.000000, 0.000000, 0.000000, 0.000000], [0.165998, -0.493734, -0.248005, -0.001516, -0.155077, 0.801944, 0.000000, 0.000000, 0.000000, 0.000000], [0.268869, -0.258409, 0.313402, 0.845340, -0.162255, -0.147606, 0.000000, 0.000000, 0.000000, 0.000000], [0.387506, -0.353871, 0.044828, -0.109482, 0.833937, -0.123159, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.480061, 11.721507, 11.744520, 17.044207, 24.763314], [10.113078, 12.473029, 13.122326, 15.957620, 83.448034], [21.808680, 22.387863, 22.812436, 35.281426, 131.528411], [9.644899, 9.763026, 10.040683, 15.056562, 48.612547], [8.867660, 10.005988, 10.995403, 11.433634, 46.531573], [12.336216, 14.927477, 14.929612, 15.940629, 76.219224]]
### 4
mean: [1.334578, -0.842421, -0.593732, -0.577656, 2.165038, 1.541587]
std: [0.858744, 0.998403, 0.723779, 0.784006, 1.251440, 0.926122]
pca: [[0.379126, -0.091174, -0.053304, -0.165116, 0.864776, -0.264591, 0.000000, 0.000000, 0.000000, 0.000000], [-0.431437, -0.439397, 0.665317, -0.132097, 0.036464, -0.399208, 0.000000, 0.000000, 0.000000, 0.000000], [-0.294081, 0.765988, 0.238181, -0.496706, 0.144594, 0.049239, 0.000000, 0.000000, 0.000000, 0.000000], [-0.343335, 0.254333, 0.159776, 0.795044, 0.378420, 0.128885, 0.000000, 0.000000, 0.000000, 0.000000], [0.548938, 0.367773, 0.350685, 0.273173, -0.290432, -0.530524, 0.000000, 0.000000, 0.000000, 0.000000], [0.405500, -0.109263, 0.590994, -0.043039, 0.048704, 0.685663, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.275200, 13.334264, 17.163213, 23.011553, 120.112020], [16.605260, 17.006947, 17.370976, 25.528815, 75.817853], [10.610093, 12.508077, 16.058256, 18.231331, 53.435875], [11.422676, 12.707902, 16.381910, 21.175542, 51.989003], [18.419058, 20.321155, 22.746699, 33.348126, 194.853431], [12.738219, 13.637757, 18.311179, 25.151003, 138.742886]]
### 6
mean: [2.629892, 3.514554, 3.091585, 2.804854, -1.635652, -1.256377]
std: [1.639619, 2.250121, 2.000647, 1.786512, 1.101063, 0.832341]
pca: [[0.399715, -0.060048, 0.578623, 0.577570, 0.063130, 0.405272, 0.000000, 0.000000, 0.000000, 0.000000], [0.547795, 0.746959, -0.130351, 0.064523, -0.154426, -0.311401, 0.000000, 0.000000, 0.000000, 0.000000], [0.487552, -0.370807, -0.529221, 0.136650, 0.567478, -0.063362, 0.000000, 0.000000, 0.000000, 0.000000], [0.435535, -0.205056, -0.187450, -0.442000, -0.518680, 0.518393, 0.000000, 0.000000, 0.000000, 0.000000], [-0.268346, 0.047823, -0.557255, 0.648380, -0.391212, 0.204272, 0.000000, 0.000000, 0.000000, 0.000000], [-0.201844, 0.506570, -0.149862, -0.166779, 0.477557, 0.651392, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.282902, 25.020965, 32.562216, 44.600040, 236.690313], [31.276260, 35.320833, 42.947282, 60.752064, 316.309887], [28.064168, 30.326527, 39.595242, 54.711027, 278.242683], [24.966754, 27.097296, 35.298786, 48.767494, 252.436912], [15.325233, 16.609915, 21.917939, 29.946277, 147.208718], [11.858284, 12.078611, 17.117064, 22.831090, 113.073913]]
### 8
mean: [-5.490654]
std: [3.184547]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[45.098587, 50.537313, 59.157546, 85.638201, 494.158852]]
## 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.
increasing_pairs
|
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"dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.093865, 0.064234, 0.008279, -0.187895, -0.26256], [-0.336582, -0.256768, -0.047599, 0.226131, 0.034592], [0.660721, -0.116654, 0.511802, 0.047355, 0.148254], [-0.200133, -0.295853, -0.310523, 0.628444, 0.489372], [0.099422, 0.14024, -0.13805, -0.276408, -0.011267], [-0.337602, -0.063312, 0.045242, 0.379663, -0.402249]], "network.0.bias": [-0.108488, 0.052695, 0.401909, 0.118556, -0.423667, 0.094378], "network.2.weight": [[0.336487, -0.161833, 0.178163, 0.504054, 0.282996, -0.339921], [-0.641877, 0.092331, 0.22625, -0.295963, -0.712468, 0.752179], [-0.249813, -0.096768, 0.585891, -0.508432, -0.742444, 0.576811], [-0.00995, 0.167982, -0.18084, -0.433188, 0.071668, 0.257937], [-0.196763, 0.467401, 0.000606, -0.445452, 0.421957, 0.493913], [-0.065969, -0.102976, -0.004074, -0.529969, 0.45229, 0.627776]], "network.2.bias": [-0.407203, 0.244306, 0.28123, 0.185917, -0.297311, -0.515528], "network.4.weight": [[-0.414551, 0.492723, 0.39358, -0.217114, -0.676219, -0.26373], [0.128213, -0.791455, -0.424869, 0.0068, 0.253834, 0.092879], [0.640203, -0.53513, -0.174668, -0.224137, 0.430533, 0.421169], [0.401292, -0.591032, -0.281154, 0.159542, 0.696173, 0.734677], [-0.393465, 0.394471, 0.757009, 0.005602, -0.41312, -0.838654], [-0.510178, 0.19582, 0.552833, -0.057646, -0.702795, -0.796955]], "network.4.bias": [0.349509, 0.443776, 0.001844, 0.386477, 0.700338, 0.547368], "network.6.weight": [[0.809683, -0.369491, -0.184842, -0.426381, 0.207187, 0.601371], [0.834212, 0.000324, -0.376331, -0.293106, 0.656091, 0.677366], [0.319591, -0.178188, -0.563114, -0.49304, 0.802432, 0.515948], [0.399999, -0.322401, -0.629142, -0.095025, 0.523779, 0.661881], [-0.483593, 0.422069, 0.154676, 0.104433, 0.022432, -0.70105], [-0.242489, 0.209544, 0.184935, 0.364318, -0.134776, -0.34009]], "network.6.bias": [0.249294, 0.034214, 0.193262, 0.177003, -0.01132, -0.14588], "network.8.weight": [[-0.387331, -0.434742, -0.448524, -0.505043, 0.101212, 0.362012]], "network.8.bias": [-0.018449]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6826037466526031, "train_acc": 0.59, "val_loss": 0.7206880450248718, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6714271306991577, "train_acc": 0.59, "val_loss": 0.6758468747138977, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5994862914085388, "train_acc": 0.51, "val_loss": 0.5127394199371338, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.44731421768665314, "train_acc": 0.875, "val_loss": 0.39352720975875854, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3844720274209976, "train_acc": 0.875, "val_loss": 0.33031409978866577, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3578266575932503, "train_acc": 0.88, "val_loss": 0.370870977640152, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3169756233692169, "train_acc": 0.885, "val_loss": 0.33300459384918213, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.2803780883550644, "train_acc": 0.9, "val_loss": 0.4144863188266754, "val_acc": 0.82}], "summary": {"total_epochs": 8, "degraded_epochs": 2, "improved_epochs": 6, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7206880450248718, "final_val_loss": 0.6758468747138977, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.5127394199371338, "final_val_loss": 0.4144863188266754, "initial_val_acc": 0.82, "final_val_acc": 0.82, "best_val_acc": 0.88, "best_epoch": 3}, "improvement": 0.42, "first_improvement_epoch": 1}}
|
9,401
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.5, "improved_accuracy": 0.88, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3563, "learning_rate": 0.03291658522920521, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "first_last_match", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["first_last_match"], "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: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
mean: [1.109703, -0.355316, 1.909737, 1.536064, 0.342942, -2.276242]
std: [1.775789, 1.964194, 1.665576, 1.735647, 1.085443, 1.713039]
pca: [[0.370785, 0.563053, 0.149343, 0.237063, -0.361745, 0.579766, 0.000000, 0.000000, 0.000000, 0.000000], [0.537079, -0.262663, 0.750165, -0.019309, 0.258412, -0.112500, 0.000000, 0.000000, 0.000000, 0.000000], [0.517396, -0.150686, -0.364512, 0.454120, -0.352456, -0.496261, 0.000000, 0.000000, 0.000000, 0.000000], [0.137691, 0.676620, -0.125253, 0.059540, 0.615995, -0.352906, 0.000000, 0.000000, 0.000000, 0.000000], [0.103476, -0.354600, -0.298291, 0.486068, 0.542029, 0.494486, 0.000000, 0.000000, 0.000000, 0.000000], [-0.526022, 0.087844, 0.421205, 0.705263, -0.069954, -0.189423, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.869654, 31.344892, 35.206161, 40.568768, 99.873294], [31.097383, 31.804065, 31.978403, 36.339582, 37.463018], [27.372807, 28.590720, 29.702051, 30.064181, 171.876365], [26.805051, 27.770231, 34.969893, 40.425895, 138.245774], [15.987594, 16.977493, 17.237301, 18.113301, 30.864779], [26.877784, 29.135729, 29.726345, 33.599508, 204.861761]]
### 2
mean: [-0.578229, 1.504179, 1.861720, 0.294075, 0.767923, 2.324299]
std: [0.379309, 2.101956, 2.387582, 1.068829, 0.939487, 2.826040]
pca: [[0.029232, -0.340183, 0.020116, -0.351931, 0.780349, -0.387577, 0.000000, 0.000000, 0.000000, 0.000000], [0.474584, -0.212426, 0.532468, -0.559283, -0.239410, 0.275696, 0.000000, 0.000000, 0.000000, 0.000000], [0.550279, -0.108957, 0.298510, 0.711536, 0.287481, 0.085348, 0.000000, 0.000000, 0.000000, 0.000000], [-0.219211, 0.473824, 0.153305, -0.102979, 0.496406, 0.668514, 0.000000, 0.000000, 0.000000, 0.000000], [-0.130658, 0.553493, 0.613270, 0.009103, -0.037111, -0.546821, 0.000000, 0.000000, 0.000000, 0.000000], [0.637169, 0.544441, -0.476825, -0.215349, 0.057416, -0.143412, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.739684, 5.842299, 6.005922, 7.034908, 52.040582], [35.117948, 39.352545, 40.348033, 51.297043, 135.376129], [41.227519, 46.003926, 47.740605, 55.771288, 167.554758], [17.329362, 18.141269, 21.210679, 22.835046, 26.466751], [15.106172, 15.661934, 16.831645, 18.270738, 69.113076], [48.895337, 52.247121, 59.966977, 62.018370, 209.186906]]
### 4
mean: [-0.041344, 3.460272, -0.673330, 0.327974, -0.286986, 1.171859]
std: [1.118417, 5.449484, 0.962187, 1.844835, 1.069524, 2.905738]
pca: [[-0.164680, 0.279112, -0.262251, 0.492425, 0.469511, -0.602726, 0.000000, 0.000000, 0.000000, 0.000000], [0.818284, 0.374737, -0.332397, 0.183957, -0.046691, 0.208508, 0.000000, 0.000000, 0.000000, 0.000000], [-0.142400, -0.189251, 0.075849, 0.809801, -0.494429, 0.194720, 0.000000, 0.000000, 0.000000, 0.000000], [-0.262794, 0.847586, 0.315963, -0.078883, -0.326211, 0.008268, 0.000000, 0.000000, 0.000000, 0.000000], [-0.159638, 0.131162, 0.208016, 0.208672, 0.637682, 0.681072, 0.000000, 0.000000, 0.000000, 0.000000], [0.434130, -0.101230, 0.819683, 0.134662, 0.140951, -0.302328, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.669595, 18.773829, 21.601833, 21.835406, 24.226601], [101.377972, 102.912974, 104.461784, 126.661375, 311.424427], [17.281795, 17.303952, 19.820659, 21.682862, 60.599722], [29.728842, 30.356228, 30.898597, 37.333077, 41.107374], [19.843423, 19.887220, 20.267336, 24.310941, 25.828697], [52.849941, 53.528781, 57.593298, 65.663436, 105.467288]]
### 6
mean: [-2.573374, 3.947893, 0.478600, -0.335975, 3.311624, -0.808249]
std: [2.678882, 6.363400, 1.620406, 1.302352, 5.372393, 0.915478]
pca: [[-0.296518, -0.104632, 0.708346, 0.532962, 0.015854, 0.339227, 0.000000, 0.000000, 0.000000, 0.000000], [0.705505, -0.188235, 0.125865, 0.484534, -0.015357, -0.464736, 0.000000, 0.000000, 0.000000, 0.000000], [0.179322, 0.064949, 0.439949, -0.427496, 0.759039, -0.105720, 0.000000, 0.000000, 0.000000, 0.000000], [-0.132828, 0.906766, 0.085125, 0.203567, -0.027241, -0.332724, 0.000000, 0.000000, 0.000000, 0.000000], [0.595353, 0.331511, 0.174686, -0.212251, -0.305457, 0.605629, 0.000000, 0.000000, 0.000000, 0.000000], [-0.100474, -0.131445, 0.501086, -0.460365, -0.573870, -0.424591, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[50.223984, 50.378427, 51.185432, 63.809542, 231.603677], [117.619658, 117.941734, 126.579140, 147.453750, 355.310351], [29.958990, 30.085635, 33.353377, 36.948879, 43.073997], [22.115286, 22.438572, 24.480403, 29.114307, 30.237719], [100.002911, 100.618974, 107.491887, 124.278462, 298.046120], [16.888661, 17.202031, 17.435364, 21.655454, 72.742455]]
### 8
mean: [5.569932, 5.738029, 3.428823, -1.236893, -0.943144, -0.871707]
std: [7.479043, 8.156460, 4.773277, 1.261456, 0.924199, 1.490708]
pca: [[0.611060, 0.117895, -0.183773, -0.639228, 0.317401, 0.263777, 0.000000, 0.000000, 0.000000, 0.000000], [0.666412, -0.088799, -0.159976, 0.704858, -0.049496, 0.152123, 0.000000, 0.000000, 0.000000, 0.000000], [0.389911, 0.082495, 0.790999, -0.122169, -0.276750, -0.352093, 0.000000, 0.000000, 0.000000, 0.000000], [-0.101736, 0.625376, 0.269473, 0.279562, 0.668965, 0.016430, 0.000000, 0.000000, 0.000000, 0.000000], [-0.074029, 0.571688, 0.036480, -0.016069, -0.568068, 0.586005, 0.000000, 0.000000, 0.000000, 0.000000], [-0.120990, -0.503475, 0.490928, 0.034985, 0.223609, 0.663053, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[139.780646, 142.090100, 151.568991, 169.173088, 501.293829], [152.299522, 155.331640, 165.386050, 184.297860, 516.422649], [89.418324, 90.896099, 95.510400, 109.369571, 308.594115], [23.305582, 24.477906, 25.775880, 27.064335, 111.320326], [17.055077, 17.878601, 18.624649, 19.851902, 84.882990], [27.536402, 27.640894, 30.431445, 33.392216, 78.453647]]
### 10
mean: [-6.267265]
std: [8.808583]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[164.864217, 167.725624, 178.671525, 197.982423, 564.053911]]
## 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.
|
first_last_match
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.516222
],
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[
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[
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[
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[
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"network.0.bias": [
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"network.2.weight": [
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"network.2.bias": [
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"network.4.weight": [
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[
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[
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[
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],
"network.4.bias": [
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"network.6.weight": [
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"network.8.weight": [
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[
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"network.10.bias": [
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}
## Activation Signature
### 0
mean: [1.109703, -0.355316, 1.909737, 1.536064, 0.342942, -2.276242]
std: [1.775789, 1.964194, 1.665576, 1.735647, 1.085443, 1.713039]
pca: [[0.370785, 0.563053, 0.149343, 0.237063, -0.361745, 0.579766, 0.000000, 0.000000, 0.000000, 0.000000], [0.537079, -0.262663, 0.750165, -0.019309, 0.258412, -0.112500, 0.000000, 0.000000, 0.000000, 0.000000], [0.517396, -0.150686, -0.364512, 0.454120, -0.352456, -0.496261, 0.000000, 0.000000, 0.000000, 0.000000], [0.137691, 0.676620, -0.125253, 0.059540, 0.615995, -0.352906, 0.000000, 0.000000, 0.000000, 0.000000], [0.103476, -0.354600, -0.298291, 0.486068, 0.542029, 0.494486, 0.000000, 0.000000, 0.000000, 0.000000], [-0.526022, 0.087844, 0.421205, 0.705263, -0.069954, -0.189423, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.869654, 31.344892, 35.206161, 40.568768, 99.873294], [31.097383, 31.804065, 31.978403, 36.339582, 37.463018], [27.372807, 28.590720, 29.702051, 30.064181, 171.876365], [26.805051, 27.770231, 34.969893, 40.425895, 138.245774], [15.987594, 16.977493, 17.237301, 18.113301, 30.864779], [26.877784, 29.135729, 29.726345, 33.599508, 204.861761]]
### 2
mean: [-0.578229, 1.504179, 1.861720, 0.294075, 0.767923, 2.324299]
std: [0.379309, 2.101956, 2.387582, 1.068829, 0.939487, 2.826040]
pca: [[0.029232, -0.340183, 0.020116, -0.351931, 0.780349, -0.387577, 0.000000, 0.000000, 0.000000, 0.000000], [0.474584, -0.212426, 0.532468, -0.559283, -0.239410, 0.275696, 0.000000, 0.000000, 0.000000, 0.000000], [0.550279, -0.108957, 0.298510, 0.711536, 0.287481, 0.085348, 0.000000, 0.000000, 0.000000, 0.000000], [-0.219211, 0.473824, 0.153305, -0.102979, 0.496406, 0.668514, 0.000000, 0.000000, 0.000000, 0.000000], [-0.130658, 0.553493, 0.613270, 0.009103, -0.037111, -0.546821, 0.000000, 0.000000, 0.000000, 0.000000], [0.637169, 0.544441, -0.476825, -0.215349, 0.057416, -0.143412, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.739684, 5.842299, 6.005922, 7.034908, 52.040582], [35.117948, 39.352545, 40.348033, 51.297043, 135.376129], [41.227519, 46.003926, 47.740605, 55.771288, 167.554758], [17.329362, 18.141269, 21.210679, 22.835046, 26.466751], [15.106172, 15.661934, 16.831645, 18.270738, 69.113076], [48.895337, 52.247121, 59.966977, 62.018370, 209.186906]]
### 4
mean: [-0.041344, 3.460272, -0.673330, 0.327974, -0.286986, 1.171859]
std: [1.118417, 5.449484, 0.962187, 1.844835, 1.069524, 2.905738]
pca: [[-0.164680, 0.279112, -0.262251, 0.492425, 0.469511, -0.602726, 0.000000, 0.000000, 0.000000, 0.000000], [0.818284, 0.374737, -0.332397, 0.183957, -0.046691, 0.208508, 0.000000, 0.000000, 0.000000, 0.000000], [-0.142400, -0.189251, 0.075849, 0.809801, -0.494429, 0.194720, 0.000000, 0.000000, 0.000000, 0.000000], [-0.262794, 0.847586, 0.315963, -0.078883, -0.326211, 0.008268, 0.000000, 0.000000, 0.000000, 0.000000], [-0.159638, 0.131162, 0.208016, 0.208672, 0.637682, 0.681072, 0.000000, 0.000000, 0.000000, 0.000000], [0.434130, -0.101230, 0.819683, 0.134662, 0.140951, -0.302328, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.669595, 18.773829, 21.601833, 21.835406, 24.226601], [101.377972, 102.912974, 104.461784, 126.661375, 311.424427], [17.281795, 17.303952, 19.820659, 21.682862, 60.599722], [29.728842, 30.356228, 30.898597, 37.333077, 41.107374], [19.843423, 19.887220, 20.267336, 24.310941, 25.828697], [52.849941, 53.528781, 57.593298, 65.663436, 105.467288]]
### 6
mean: [-2.573374, 3.947893, 0.478600, -0.335975, 3.311624, -0.808249]
std: [2.678882, 6.363400, 1.620406, 1.302352, 5.372393, 0.915478]
pca: [[-0.296518, -0.104632, 0.708346, 0.532962, 0.015854, 0.339227, 0.000000, 0.000000, 0.000000, 0.000000], [0.705505, -0.188235, 0.125865, 0.484534, -0.015357, -0.464736, 0.000000, 0.000000, 0.000000, 0.000000], [0.179322, 0.064949, 0.439949, -0.427496, 0.759039, -0.105720, 0.000000, 0.000000, 0.000000, 0.000000], [-0.132828, 0.906766, 0.085125, 0.203567, -0.027241, -0.332724, 0.000000, 0.000000, 0.000000, 0.000000], [0.595353, 0.331511, 0.174686, -0.212251, -0.305457, 0.605629, 0.000000, 0.000000, 0.000000, 0.000000], [-0.100474, -0.131445, 0.501086, -0.460365, -0.573870, -0.424591, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[50.223984, 50.378427, 51.185432, 63.809542, 231.603677], [117.619658, 117.941734, 126.579140, 147.453750, 355.310351], [29.958990, 30.085635, 33.353377, 36.948879, 43.073997], [22.115286, 22.438572, 24.480403, 29.114307, 30.237719], [100.002911, 100.618974, 107.491887, 124.278462, 298.046120], [16.888661, 17.202031, 17.435364, 21.655454, 72.742455]]
### 8
mean: [5.569932, 5.738029, 3.428823, -1.236893, -0.943144, -0.871707]
std: [7.479043, 8.156460, 4.773277, 1.261456, 0.924199, 1.490708]
pca: [[0.611060, 0.117895, -0.183773, -0.639228, 0.317401, 0.263777, 0.000000, 0.000000, 0.000000, 0.000000], [0.666412, -0.088799, -0.159976, 0.704858, -0.049496, 0.152123, 0.000000, 0.000000, 0.000000, 0.000000], [0.389911, 0.082495, 0.790999, -0.122169, -0.276750, -0.352093, 0.000000, 0.000000, 0.000000, 0.000000], [-0.101736, 0.625376, 0.269473, 0.279562, 0.668965, 0.016430, 0.000000, 0.000000, 0.000000, 0.000000], [-0.074029, 0.571688, 0.036480, -0.016069, -0.568068, 0.586005, 0.000000, 0.000000, 0.000000, 0.000000], [-0.120990, -0.503475, 0.490928, 0.034985, 0.223609, 0.663053, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[139.780646, 142.090100, 151.568991, 169.173088, 501.293829], [152.299522, 155.331640, 165.386050, 184.297860, 516.422649], [89.418324, 90.896099, 95.510400, 109.369571, 308.594115], [23.305582, 24.477906, 25.775880, 27.064335, 111.320326], [17.055077, 17.878601, 18.624649, 19.851902, 84.882990], [27.536402, 27.640894, 30.431445, 33.392216, 78.453647]]
### 10
mean: [-6.267265]
std: [8.808583]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[164.864217, 167.725624, 178.671525, 197.982423, 564.053911]]
## 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.
first_last_match
|
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"sequence_length": 5, "num_layers": 5, "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": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.554697, -0.141789, 0.241318, -0.085773, 0.516222], [0.862208, -0.099322, -0.005086, -0.173966, -0.630893], [0.332039, 0.434074, 0.426148, -0.083016, -0.332273], [0.244276, 0.074828, -0.061457, -0.117272, 0.873523], [-0.147732, 0.470197, 0.046757, -0.183685, -0.36003], [-0.524961, -0.424162, -0.138271, -0.202737, 0.25792]], "network.0.bias": [-0.27904, -0.085516, 0.403204, 0.398238, 0.410252, -0.444548], "network.2.weight": [[0.142751, 0.33415, -0.322923, -0.094605, 0.13417, 0.052593], [0.818303, 0.877605, -0.2487, 0.165147, -0.104313, -0.815314], [0.375098, 0.900135, -0.012257, 0.68688, -0.407321, -0.636743], [-0.107534, -0.619174, 0.317167, -0.263372, 0.301037, 0.099288], [0.065349, -0.455516, 0.463122, -0.319298, 0.220572, 0.177274], [0.701851, 0.155034, 0.045528, 0.929442, -0.247711, -0.364423]], "network.2.bias": [-0.212844, 0.351811, 0.166084, 0.354875, 0.399683, 0.052251], "network.4.weight": [[-0.584079, 0.145879, -0.238301, 0.206802, 0.400602, -0.184766], [-0.058521, 0.363545, 0.93753, -0.925441, -0.37045, 0.704522], [-0.360065, -0.078096, -0.130881, -0.256068, 0.23853, -0.184715], [-0.713753, -0.288646, -0.173543, 0.472933, 0.854409, -0.031597], [-0.031449, 0.048536, -0.403251, 0.034218, 0.325161, -0.018122], [-0.426011, 0.018088, 0.216406, -0.946123, -0.281072, 0.633929]], "network.4.bias": [0.132264, 0.228872, 0.018314, 0.205064, 0.175204, -0.104859], "network.6.weight": [[0.425496, -0.585624, 0.664079, -0.14187, 0.518112, 0.188671], [-0.458546, 0.876452, 0.10471, -0.493189, -0.515047, 0.556425], [-0.281074, 0.132553, 0.114447, 0.065878, -0.287702, 0.358113], [0.378163, 0.053197, 0.523005, 0.288409, 0.675432, -0.385463], [-0.088487, 0.841795, -0.006789, -0.148652, -0.754531, 0.35802], [0.427325, -0.302567, -0.141127, -0.04102, -0.394735, 0.268235]], "network.6.bias": [-0.687727, 0.213618, -0.566255, -0.361167, -0.320783, -0.116215], "network.8.weight": [[0.372553, 0.65405, 0.486506, -0.34622, 0.578722, -0.024445], [0.111325, 0.908468, 0.500511, -0.208087, 0.423424, -0.120945], [0.225445, 0.640862, -0.275373, -0.162827, 0.268014, 0.191709], [0.160884, -0.111678, -0.05834, -0.313555, -0.12345, -0.201268], [0.256412, -0.060263, 0.068093, -0.339987, -0.151557, 0.253916], [-0.19294, -0.081683, -0.497445, 0.397477, -0.042659, -0.064282]], "network.8.bias": [0.151648, -0.324154, -0.205836, -0.128154, -0.019827, -0.08002], "network.10.weight": [[-0.396983, -0.499179, -0.407597, 0.172712, 0.087004, 0.120203]], "network.10.bias": [0.444728]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7160164415836334, "train_acc": 0.42, "val_loss": 0.6929435729980469, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6976050436496735, "train_acc": 0.41, "val_loss": 0.6898593902587891, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6814051568508148, "train_acc": 0.58, "val_loss": 0.6885877847671509, "val_acc": 0.5}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6652226448059082, "train_acc": 0.58, "val_loss": 0.6706913709640503, "val_acc": 0.5}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6134454011917114, "train_acc": 0.58, "val_loss": 0.6198875308036804, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.5958590805530548, "train_acc": 0.5, "val_loss": 0.523804783821106, "val_acc": 0.5}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5172258615493774, "train_acc": 0.59, "val_loss": 0.44108569622039795, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.445777103304863, "train_acc": 0.79, "val_loss": 0.40220871567726135, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.416786253452301, "train_acc": 0.835, "val_loss": 0.36448439955711365, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.39618009328842163, "train_acc": 0.84, "val_loss": 0.38111168146133423, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.38908784091472626, "train_acc": 0.84, "val_loss": 0.32290899753570557, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.3866928815841675, "train_acc": 0.835, "val_loss": 0.3072771430015564, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.36573150753974915, "train_acc": 0.84, "val_loss": 0.2972930371761322, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.355545237660408, "train_acc": 0.84, "val_loss": 0.294021338224411, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.35571518540382385, "train_acc": 0.84, "val_loss": 0.31460291147232056, "val_acc": 0.88}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.6929435729980469, "final_val_loss": 0.6198875308036804, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.523804783821106, "final_val_loss": 0.31460291147232056, "initial_val_acc": 0.5, "final_val_acc": 0.88, "best_val_acc": 0.88, "best_epoch": 9}, "improvement": 0.38, "first_improvement_epoch": 4}}
|
9,402
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.48, "improved_accuracy": 0.76, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9022, "learning_rate": 0.04162780670721119, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "first_last_match", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["first_last_match"], "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: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
0.18744,
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],
[
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[
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0.084716
],
[
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],
[
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],
[
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],
"network.0.bias": [
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"network.2.weight": [
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[
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[
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[
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[
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],
"network.2.bias": [
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],
"network.4.weight": [
[
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[
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[
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"network.6.bias": [
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"network.8.weight": [
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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.10.bias": [
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]
}
## Activation Signature
### 0
mean: [-3.363983, 1.110925, -1.773832, -3.211411, 1.335928, 1.040377]
std: [1.992205, 1.824127, 1.057672, 2.009477, 1.524057, 2.249609]
pca: [[0.571989, -0.126383, 0.534983, 0.345555, -0.495708, -0.074255, 0.000000, 0.000000, 0.000000, 0.000000], [-0.189983, -0.564425, 0.623460, -0.335690, 0.337603, 0.173102, 0.000000, 0.000000, 0.000000, 0.000000], [0.304120, 0.088341, -0.145471, -0.420674, -0.241969, 0.801891, 0.000000, 0.000000, 0.000000, 0.000000], [0.600934, 0.144638, -0.016985, 0.189787, 0.758298, 0.081456, 0.000000, 0.000000, 0.000000, 0.000000], [-0.204320, -0.465186, -0.251135, 0.688595, 0.024160, 0.451707, 0.000000, 0.000000, 0.000000, 0.000000], [-0.376002, 0.648328, 0.490481, 0.284174, 0.078415, 0.332894, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.520183, 33.262563, 33.814522, 35.141770, 302.758463], [30.728281, 32.903744, 33.799341, 33.803978, 99.983227], [16.330000, 17.031259, 17.045445, 20.233142, 159.644900], [31.926818, 32.445063, 34.991801, 36.649287, 289.026957], [25.091099, 28.922215, 31.279737, 31.941632, 120.233531], [33.219307, 36.661320, 41.391137, 45.065519, 93.633944]]
### 2
mean: [-0.954586, 0.952036, 0.803441, -1.176390, 0.616955, 0.591464]
std: [0.657984, 1.043917, 1.344560, 0.975927, 0.741528, 1.113065]
pca: [[-0.293408, -0.121939, 0.223646, -0.575476, 0.625688, 0.355480, 0.000000, 0.000000, 0.000000, 0.000000], [-0.256876, 0.793961, 0.144093, -0.331012, -0.395503, 0.129944, 0.000000, 0.000000, 0.000000, 0.000000], [0.605627, 0.152783, -0.629776, -0.318836, 0.058802, 0.328848, 0.000000, 0.000000, 0.000000, 0.000000], [-0.385288, -0.442223, -0.221303, -0.006919, -0.522466, 0.577926, 0.000000, 0.000000, 0.000000, 0.000000], [-0.281515, 0.368156, -0.271883, 0.636220, 0.411913, 0.369922, 0.000000, 0.000000, 0.000000, 0.000000], [0.503433, 0.017680, 0.640083, 0.229736, -0.077400, 0.527036, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.117293, 11.621805, 12.199830, 14.902079, 85.912764], [16.165710, 17.212269, 17.263681, 20.588910, 85.683265], [22.045523, 23.718148, 24.699258, 31.305613, 72.309698], [17.400104, 17.978044, 18.060989, 18.552039, 105.875084], [10.632229, 10.949826, 15.018590, 16.188490, 55.525975], [17.181190, 17.225366, 20.089477, 25.611720, 53.231734]]
### 4
mean: [0.475301, 0.799769, -1.092721, 0.632672, 0.641018, -0.288956]
std: [0.736230, 1.109683, 0.464764, 0.980999, 0.282620, 0.126444]
pca: [[-0.436504, -0.329983, 0.534488, -0.141615, 0.451709, -0.436810, 0.000000, 0.000000, 0.000000, 0.000000], [0.655179, -0.545988, -0.028696, 0.277804, 0.433675, 0.081028, 0.000000, 0.000000, 0.000000, 0.000000], [-0.114950, 0.603356, -0.110820, 0.300924, 0.704349, 0.154283, 0.000000, 0.000000, 0.000000, 0.000000], [-0.579121, -0.474248, -0.414588, 0.093727, 0.097021, 0.499626, 0.000000, 0.000000, 0.000000, 0.000000], [-0.175870, -0.040401, 0.110756, 0.892833, -0.301327, -0.259274, 0.000000, 0.000000, 0.000000, 0.000000], [0.026075, 0.049265, 0.719074, 0.079246, -0.107547, 0.679691, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.492303, 12.506450, 13.330566, 17.441849, 42.777093], [15.658551, 17.859637, 20.887337, 22.455650, 71.979186], [7.357371, 7.780598, 7.871983, 8.894077, 98.344924], [15.737460, 17.300092, 17.631277, 23.550528, 56.940441], [4.056724, 4.493430, 5.714533, 6.414169, 57.691597], [2.059820, 2.121618, 2.426293, 2.822949, 26.006073]]
### 6
mean: [0.813980, 1.175397, -0.813518, 0.402549, -0.568236, -0.173273]
std: [0.851679, 1.189481, 0.257240, 0.923927, 0.132802, 0.556062]
pca: [[0.470523, -0.121367, -0.578043, 0.644274, -0.111203, 0.047861, 0.000000, 0.000000, 0.000000, 0.000000], [0.655902, -0.281869, 0.082132, -0.366433, 0.580588, 0.110640, 0.000000, 0.000000, 0.000000, 0.000000], [-0.048988, 0.699837, 0.082384, 0.350679, 0.613258, -0.044490, 0.000000, 0.000000, 0.000000, 0.000000], [-0.500976, -0.532435, 0.007272, 0.312047, 0.419939, 0.437906, 0.000000, 0.000000, 0.000000, 0.000000], [0.023267, 0.364073, -0.283996, -0.290282, -0.149664, 0.824374, 0.000000, 0.000000, 0.000000, 0.000000], [0.307381, 0.003448, 0.756061, 0.382132, -0.275170, 0.334864, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.248385, 14.415900, 16.981944, 19.814306, 73.258244], [18.391610, 20.634751, 23.506114, 27.738595, 105.785737], [4.064219, 4.268878, 5.044359, 5.681975, 73.216617], [13.283146, 14.870713, 19.360202, 20.362019, 36.229396], [2.112853, 2.199619, 2.447907, 2.484852, 51.141241], [8.344919, 9.796038, 11.291539, 12.892289, 15.594567]]
### 8
mean: [1.053770, -1.078686, -0.436622, 1.238664, 0.354836, 0.279521]
std: [1.248908, 0.591777, 0.210904, 1.393755, 0.604522, 0.456395]
pca: [[0.594709, 0.309649, -0.365432, -0.465911, -0.280365, 0.348169, 0.000000, 0.000000, 0.000000, 0.000000], [-0.256760, 0.861709, 0.135407, -0.102600, -0.087775, -0.393657, 0.000000, 0.000000, 0.000000, 0.000000], [0.091450, 0.300068, 0.562275, 0.330541, 0.092445, 0.683842, 0.000000, 0.000000, 0.000000, 0.000000], [0.665265, -0.075074, 0.505603, -0.104746, 0.274294, -0.458196, 0.000000, 0.000000, 0.000000, 0.000000], [0.288592, 0.015763, -0.083778, 0.671227, -0.642670, -0.214189, 0.000000, 0.000000, 0.000000, 0.000000], [0.214872, 0.256222, -0.518959, 0.449027, 0.645665, -0.018786, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.767959, 21.014188, 25.645744, 28.365186, 94.839317], [10.014869, 10.254572, 10.419898, 11.909107, 97.081785], [3.137334, 3.184201, 4.382626, 4.437596, 39.295963], [21.517249, 24.156848, 28.095851, 31.466449, 111.479780], [9.324085, 10.314667, 12.251696, 13.670780, 31.935251], [6.821003, 7.326872, 9.478719, 10.322182, 25.156916]]
### 10
mean: [-1.623547]
std: [1.710188]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.196401, 29.700488, 33.266618, 38.156870, 146.119220]]
## 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.
|
first_last_match
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.10.weight": [
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}
## Activation Signature
### 0
mean: [-3.363983, 1.110925, -1.773832, -3.211411, 1.335928, 1.040377]
std: [1.992205, 1.824127, 1.057672, 2.009477, 1.524057, 2.249609]
pca: [[0.571989, -0.126383, 0.534983, 0.345555, -0.495708, -0.074255, 0.000000, 0.000000, 0.000000, 0.000000], [-0.189983, -0.564425, 0.623460, -0.335690, 0.337603, 0.173102, 0.000000, 0.000000, 0.000000, 0.000000], [0.304120, 0.088341, -0.145471, -0.420674, -0.241969, 0.801891, 0.000000, 0.000000, 0.000000, 0.000000], [0.600934, 0.144638, -0.016985, 0.189787, 0.758298, 0.081456, 0.000000, 0.000000, 0.000000, 0.000000], [-0.204320, -0.465186, -0.251135, 0.688595, 0.024160, 0.451707, 0.000000, 0.000000, 0.000000, 0.000000], [-0.376002, 0.648328, 0.490481, 0.284174, 0.078415, 0.332894, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.520183, 33.262563, 33.814522, 35.141770, 302.758463], [30.728281, 32.903744, 33.799341, 33.803978, 99.983227], [16.330000, 17.031259, 17.045445, 20.233142, 159.644900], [31.926818, 32.445063, 34.991801, 36.649287, 289.026957], [25.091099, 28.922215, 31.279737, 31.941632, 120.233531], [33.219307, 36.661320, 41.391137, 45.065519, 93.633944]]
### 2
mean: [-0.954586, 0.952036, 0.803441, -1.176390, 0.616955, 0.591464]
std: [0.657984, 1.043917, 1.344560, 0.975927, 0.741528, 1.113065]
pca: [[-0.293408, -0.121939, 0.223646, -0.575476, 0.625688, 0.355480, 0.000000, 0.000000, 0.000000, 0.000000], [-0.256876, 0.793961, 0.144093, -0.331012, -0.395503, 0.129944, 0.000000, 0.000000, 0.000000, 0.000000], [0.605627, 0.152783, -0.629776, -0.318836, 0.058802, 0.328848, 0.000000, 0.000000, 0.000000, 0.000000], [-0.385288, -0.442223, -0.221303, -0.006919, -0.522466, 0.577926, 0.000000, 0.000000, 0.000000, 0.000000], [-0.281515, 0.368156, -0.271883, 0.636220, 0.411913, 0.369922, 0.000000, 0.000000, 0.000000, 0.000000], [0.503433, 0.017680, 0.640083, 0.229736, -0.077400, 0.527036, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.117293, 11.621805, 12.199830, 14.902079, 85.912764], [16.165710, 17.212269, 17.263681, 20.588910, 85.683265], [22.045523, 23.718148, 24.699258, 31.305613, 72.309698], [17.400104, 17.978044, 18.060989, 18.552039, 105.875084], [10.632229, 10.949826, 15.018590, 16.188490, 55.525975], [17.181190, 17.225366, 20.089477, 25.611720, 53.231734]]
### 4
mean: [0.475301, 0.799769, -1.092721, 0.632672, 0.641018, -0.288956]
std: [0.736230, 1.109683, 0.464764, 0.980999, 0.282620, 0.126444]
pca: [[-0.436504, -0.329983, 0.534488, -0.141615, 0.451709, -0.436810, 0.000000, 0.000000, 0.000000, 0.000000], [0.655179, -0.545988, -0.028696, 0.277804, 0.433675, 0.081028, 0.000000, 0.000000, 0.000000, 0.000000], [-0.114950, 0.603356, -0.110820, 0.300924, 0.704349, 0.154283, 0.000000, 0.000000, 0.000000, 0.000000], [-0.579121, -0.474248, -0.414588, 0.093727, 0.097021, 0.499626, 0.000000, 0.000000, 0.000000, 0.000000], [-0.175870, -0.040401, 0.110756, 0.892833, -0.301327, -0.259274, 0.000000, 0.000000, 0.000000, 0.000000], [0.026075, 0.049265, 0.719074, 0.079246, -0.107547, 0.679691, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.492303, 12.506450, 13.330566, 17.441849, 42.777093], [15.658551, 17.859637, 20.887337, 22.455650, 71.979186], [7.357371, 7.780598, 7.871983, 8.894077, 98.344924], [15.737460, 17.300092, 17.631277, 23.550528, 56.940441], [4.056724, 4.493430, 5.714533, 6.414169, 57.691597], [2.059820, 2.121618, 2.426293, 2.822949, 26.006073]]
### 6
mean: [0.813980, 1.175397, -0.813518, 0.402549, -0.568236, -0.173273]
std: [0.851679, 1.189481, 0.257240, 0.923927, 0.132802, 0.556062]
pca: [[0.470523, -0.121367, -0.578043, 0.644274, -0.111203, 0.047861, 0.000000, 0.000000, 0.000000, 0.000000], [0.655902, -0.281869, 0.082132, -0.366433, 0.580588, 0.110640, 0.000000, 0.000000, 0.000000, 0.000000], [-0.048988, 0.699837, 0.082384, 0.350679, 0.613258, -0.044490, 0.000000, 0.000000, 0.000000, 0.000000], [-0.500976, -0.532435, 0.007272, 0.312047, 0.419939, 0.437906, 0.000000, 0.000000, 0.000000, 0.000000], [0.023267, 0.364073, -0.283996, -0.290282, -0.149664, 0.824374, 0.000000, 0.000000, 0.000000, 0.000000], [0.307381, 0.003448, 0.756061, 0.382132, -0.275170, 0.334864, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.248385, 14.415900, 16.981944, 19.814306, 73.258244], [18.391610, 20.634751, 23.506114, 27.738595, 105.785737], [4.064219, 4.268878, 5.044359, 5.681975, 73.216617], [13.283146, 14.870713, 19.360202, 20.362019, 36.229396], [2.112853, 2.199619, 2.447907, 2.484852, 51.141241], [8.344919, 9.796038, 11.291539, 12.892289, 15.594567]]
### 8
mean: [1.053770, -1.078686, -0.436622, 1.238664, 0.354836, 0.279521]
std: [1.248908, 0.591777, 0.210904, 1.393755, 0.604522, 0.456395]
pca: [[0.594709, 0.309649, -0.365432, -0.465911, -0.280365, 0.348169, 0.000000, 0.000000, 0.000000, 0.000000], [-0.256760, 0.861709, 0.135407, -0.102600, -0.087775, -0.393657, 0.000000, 0.000000, 0.000000, 0.000000], [0.091450, 0.300068, 0.562275, 0.330541, 0.092445, 0.683842, 0.000000, 0.000000, 0.000000, 0.000000], [0.665265, -0.075074, 0.505603, -0.104746, 0.274294, -0.458196, 0.000000, 0.000000, 0.000000, 0.000000], [0.288592, 0.015763, -0.083778, 0.671227, -0.642670, -0.214189, 0.000000, 0.000000, 0.000000, 0.000000], [0.214872, 0.256222, -0.518959, 0.449027, 0.645665, -0.018786, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.767959, 21.014188, 25.645744, 28.365186, 94.839317], [10.014869, 10.254572, 10.419898, 11.909107, 97.081785], [3.137334, 3.184201, 4.382626, 4.437596, 39.295963], [21.517249, 24.156848, 28.095851, 31.466449, 111.479780], [9.324085, 10.314667, 12.251696, 13.670780, 31.935251], [6.821003, 7.326872, 9.478719, 10.322182, 25.156916]]
### 10
mean: [-1.623547]
std: [1.710188]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.196401, 29.700488, 33.266618, 38.156870, 146.119220]]
## 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.
first_last_match
|
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{"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.18744, -0.514496, -0.546201, -0.516949, 0.063724], [0.613338, 0.235606, 0.202667, -0.37585, 0.165894], [-0.05411, -0.17647, -0.457221, -0.062495, 0.084716], [-0.215383, -0.433728, -0.64894, -0.31184, 0.146627], [0.379135, -0.070289, 0.372143, -0.020767, 0.392457], [-0.608535, 0.389326, 0.527983, 0.335148, -0.844517]], "network.0.bias": [-0.488786, 0.096369, -0.40031, -0.309583, -0.224664, 0.308194], "network.2.weight": [[-0.101889, -0.126767, 0.52796, -0.396431, -0.297556, 0.07056], [-0.147164, 0.129532, -0.190399, 0.095515, -0.044027, 0.657668], [0.36615, 0.190488, 0.16734, -0.197568, 0.641461, -0.20978], [0.276552, -0.378586, 0.283379, -0.393159, -0.302537, -0.089991], [0.010001, -0.110187, -0.082758, -0.039044, -0.034204, 0.392104], [0.209409, 0.427194, -0.379143, -0.207217, 0.167062, -0.255384]], "network.2.bias": [-0.477104, -0.138587, -0.032086, -0.12464, 0.221247, 0.184079], "network.4.weight": [[0.188806, -0.089293, -0.009584, -0.350719, -0.29531, 0.56552], [0.084156, 0.753114, 0.069584, 0.277353, 0.445538, -0.187075], [0.115243, -0.452826, -0.166592, 0.19261, -0.033932, -0.116407], [0.245622, -0.313321, 0.477331, -0.354527, -0.048008, 0.214484], [0.165112, -0.242639, -0.029079, -0.267661, 0.154107, 0.250515], [-0.1771, 0.093375, -0.338608, 0.23872, -0.141113, 0.350062]], "network.4.bias": [0.349445, -0.158151, -0.386914, 0.363281, 0.614952, -0.227776], "network.6.weight": [[0.432448, -0.311259, -0.512204, 0.33622, 0.155606, 0.011019], [0.347144, -0.346741, -0.181299, 0.640241, 0.546871, -0.059735], [-0.24955, -0.30047, -0.040564, -0.07928, -0.533285, 0.407738], [0.000495, 0.59632, -0.0402, -0.425399, -0.088981, 0.083677], [-0.110155, -0.154193, 0.243841, -0.053809, 0.037789, 0.220021], [0.060967, -0.281117, -0.137704, 0.418616, -0.250662, -0.164299]], "network.6.bias": [0.489399, 0.45344, -0.011815, 0.259102, -0.356868, -0.114465], "network.8.weight": [[0.350531, 0.567718, -0.061083, -0.519686, -0.272955, 0.132961], [-0.384518, -0.445103, -0.40782, -0.415964, -0.164655, -0.029715], [0.069622, -0.118758, 0.211695, -0.310539, 0.216198, 0.339369], [0.496357, 0.572558, -0.014392, -0.406979, 0.275728, 0.567803], [0.407504, 0.132167, 0.155302, -0.179722, 0.411403, 0.146939], [0.288428, 0.088479, 0.069016, -0.243844, -0.044952, -0.088955]], "network.8.bias": [0.331807, 0.059043, -0.217806, 0.250818, -0.080147, 0.076285], "network.10.weight": [[-0.630308, -0.102329, -0.225004, -0.596228, -0.486477, -0.095711]], "network.10.bias": [0.186848]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6861856877803802, "train_acc": 0.58, "val_loss": 0.7057563662528992, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6758089661598206, "train_acc": 0.58, "val_loss": 0.6930437684059143, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6689282655715942, "train_acc": 0.58, "val_loss": 0.6854673624038696, "val_acc": 0.48}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.635981410741806, "train_acc": 0.58, "val_loss": 0.6568933129310608, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6462912261486053, "train_acc": 0.505, "val_loss": 0.6288261413574219, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5864482820034027, "train_acc": 0.645, "val_loss": 0.6245154738426208, "val_acc": 0.66}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5785528719425201, "train_acc": 0.795, "val_loss": 0.5915600657463074, "val_acc": 0.66}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.5273448526859283, "train_acc": 0.815, "val_loss": 0.5858502984046936, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.465398445725441, "train_acc": 0.835, "val_loss": 0.642212986946106, "val_acc": 0.74}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.4831114262342453, "train_acc": 0.825, "val_loss": 0.6049837470054626, "val_acc": 0.74}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.45949016511440277, "train_acc": 0.825, "val_loss": 0.5415611863136292, "val_acc": 0.7}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.44898173213005066, "train_acc": 0.795, "val_loss": 0.5220750570297241, "val_acc": 0.74}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.441958487033844, "train_acc": 0.81, "val_loss": 0.5109519362449646, "val_acc": 0.72}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.4194846600294113, "train_acc": 0.815, "val_loss": 0.50567227602005, "val_acc": 0.74}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.7057563662528992, "final_val_loss": 0.6568933129310608, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.6288261413574219, "final_val_loss": 0.50567227602005, "initial_val_acc": 0.48, "final_val_acc": 0.74, "best_val_acc": 0.76, "best_epoch": 7}, "improvement": 0.28, "first_improvement_epoch": 3}}
|
9,403
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.5, "improved_accuracy": 0.8, "improvement": 0.30000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3465, "learning_rate": 0.044414506428909664, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "no_repeats", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["no_repeats"], "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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.2.weight": [
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## Activation Signature
### 0
mean: [-2.241767, 0.286909, -1.394411, 0.313425, 1.382214, -1.969806, 1.116184]
std: [1.537531, 2.542492, 1.911353, 2.957172, 2.134367, 1.516711, 1.375705]
pca: [[-0.022224, -0.549946, 0.347134, 0.232653, 0.301853, -0.156436, 0.637847, 0.000000, 0.000000, 0.000000], [0.553726, -0.049501, -0.151345, -0.558356, -0.299367, 0.232160, 0.461250, 0.000000, 0.000000, 0.000000], [0.376318, -0.285171, -0.175104, 0.684739, -0.361663, 0.361225, -0.127475, 0.000000, 0.000000, 0.000000], [0.647483, -0.011978, -0.131676, 0.007417, 0.668231, -0.192445, -0.282242, 0.000000, 0.000000, 0.000000], [0.242896, 0.574118, 0.702856, 0.180529, 0.033502, 0.269404, 0.105320, 0.000000, 0.000000, 0.000000], [-0.053873, -0.514407, 0.430702, -0.361558, 0.060347, 0.439171, -0.468766, 0.000000, 0.000000, 0.000000], [-0.264844, 0.139347, -0.359280, 0.043283, 0.486998, 0.699043, 0.231637, 0.000000, 0.000000, 0.000000]]
fourier: [[26.128233, 26.823301, 28.452821, 30.440611, 201.759029], [35.880334, 36.063275, 36.318160, 41.348552, 42.244979], [26.952362, 30.135781, 34.272474, 39.350569, 125.496991], [41.983325, 44.447154, 44.848892, 48.230401, 51.296162], [36.316228, 36.869367, 37.601832, 52.048715, 124.399225], [23.729552, 24.585519, 25.024128, 30.854127, 177.282540], [20.532524, 22.069895, 25.379440, 25.513327, 100.456602]]
### 2
mean: [1.054030, 1.651907, 2.387590, 1.845134, 1.381400, -0.432590, 2.489951]
std: [1.306121, 2.761941, 2.690156, 2.414039, 1.827724, 1.875511, 3.204110]
pca: [[0.200275, -0.394446, 0.041505, 0.741608, -0.442069, 0.015941, -0.238576, 0.000000, 0.000000, 0.000000], [0.433952, 0.619263, -0.421720, 0.085203, -0.063305, 0.364019, -0.326456, 0.000000, 0.000000, 0.000000], [0.433369, 0.200724, 0.023105, 0.216599, -0.073328, -0.145586, 0.835392, 0.000000, 0.000000, 0.000000], [0.388349, -0.020587, 0.480317, 0.224934, 0.725776, 0.022243, -0.200536, 0.000000, 0.000000, 0.000000], [0.289748, -0.322582, 0.301950, -0.382329, -0.233787, 0.710816, 0.121332, 0.000000, 0.000000, 0.000000], [-0.285206, 0.561515, 0.685735, 0.115754, -0.338588, 0.040685, -0.058572, 0.000000, 0.000000, 0.000000], [0.517354, -0.029208, 0.166686, -0.430899, -0.314867, -0.581920, -0.283304, 0.000000, 0.000000, 0.000000]]
fourier: [[23.090753, 23.440533, 23.947146, 28.909825, 94.862668], [46.444051, 47.342784, 50.042492, 50.927042, 148.671608], [46.870509, 46.921131, 50.104025, 50.444776, 214.883088], [42.122259, 44.198330, 44.809717, 47.804651, 166.062136], [30.689968, 32.722876, 33.491558, 40.385689, 124.326028], [31.822766, 34.538358, 36.191924, 38.933138, 41.449887], [55.110615, 56.477154, 59.941567, 64.187354, 224.095567]]
### 4
mean: [-1.161644, 5.880066, -1.613295, -1.512792, 4.489263, -1.157890, 3.720667]
std: [1.242870, 7.910878, 3.111003, 2.538238, 5.437593, 1.207866, 4.511845]
pca: [[-0.106188, -0.404971, -0.073082, 0.403434, -0.438262, 0.651688, -0.199631, 0.000000, 0.000000, 0.000000], [0.690562, 0.130638, -0.321319, 0.092016, -0.242512, 0.111726, 0.568375, 0.000000, 0.000000, 0.000000], [-0.271132, -0.267599, -0.245799, 0.635109, 0.446789, -0.213780, 0.381806, 0.000000, 0.000000, 0.000000], [-0.218616, 0.660482, -0.368195, 0.024370, 0.326360, 0.519197, -0.061102, 0.000000, 0.000000, 0.000000], [0.474261, -0.361812, -0.397281, -0.112441, 0.462639, 0.032853, -0.508507, 0.000000, 0.000000, 0.000000], [-0.103242, -0.384869, 0.207491, -0.499993, 0.346727, 0.454201, 0.470800, 0.000000, 0.000000, 0.000000], [0.393650, 0.179039, 0.703238, 0.402717, 0.329741, 0.200436, -0.085771, 0.000000, 0.000000, 0.000000]]
fourier: [[21.539655, 22.553238, 22.733666, 22.866768, 104.547931], [137.689116, 138.275417, 149.281870, 153.509431, 529.206057], [54.159385, 54.824187, 58.462146, 59.189915, 145.196580], [40.362459, 45.489243, 47.830854, 53.040448, 136.151287], [92.572879, 95.855436, 102.675062, 108.640750, 404.033663], [20.652984, 21.414585, 22.214915, 22.423754, 104.210086], [77.550734, 78.733918, 85.264522, 86.104948, 334.860021]]
### 6
mean: [-0.977896, 6.755631, 6.230751, -1.812583, 4.174980, 2.056143, 6.624682]
std: [0.948797, 8.881045, 7.980829, 3.152805, 5.886859, 3.336874, 8.012897]
pca: [[-0.057976, -0.316396, 0.532922, -0.007258, -0.264804, 0.736188, 0.019474, 0.000000, 0.000000, 0.000000], [0.547281, 0.253243, -0.476658, -0.366160, -0.333061, 0.377469, -0.147183, 0.000000, 0.000000, 0.000000], [0.491789, 0.252843, 0.572334, 0.035717, -0.404429, -0.416487, 0.168368, 0.000000, 0.000000, 0.000000], [-0.193867, 0.746641, 0.128025, -0.071806, 0.285169, 0.302676, 0.458762, 0.000000, 0.000000, 0.000000], [0.362752, -0.279010, 0.226616, -0.588835, 0.617797, -0.041498, 0.095333, 0.000000, 0.000000, 0.000000], [0.205527, -0.360994, -0.304147, 0.229031, -0.078399, 0.033531, 0.821712, 0.000000, 0.000000, 0.000000], [0.493812, 0.078714, 0.031226, 0.678425, 0.431562, 0.218228, -0.234197, 0.000000, 0.000000, 0.000000]]
fourier: [[16.113055, 17.289459, 17.886370, 18.382812, 88.010648], [153.825205, 156.054712, 168.292992, 172.706810, 608.006871], [137.637504, 140.845980, 151.638076, 157.040144, 560.767532], [52.219612, 56.124218, 58.090874, 59.855735, 163.132456], [100.604826, 104.001791, 110.609503, 114.917712, 375.748223], [56.465759, 59.000678, 62.524198, 63.840328, 185.052884], [137.681261, 141.270962, 152.309751, 156.385092, 596.221373]]
### 8
mean: [11.610477, 11.825562, -3.665089, -5.669244, -1.146636, 7.950182, -3.967203]
std: [14.873397, 15.453020, 5.530875, 7.181423, 1.443135, 10.083145, 4.639821]
pca: [[0.575717, -0.204768, 0.002118, -0.144398, 0.744927, -0.224943, 0.015802, 0.000000, 0.000000, 0.000000], [0.598153, 0.221332, -0.120188, -0.326973, -0.518795, -0.150048, 0.424507, 0.000000, 0.000000, 0.000000], [-0.214024, 0.733280, 0.272317, 0.155414, 0.296699, -0.303849, 0.371255, 0.000000, 0.000000, 0.000000], [-0.277977, -0.084226, -0.209238, -0.417924, 0.264647, 0.548096, 0.571617, 0.000000, 0.000000, 0.000000], [-0.055727, -0.499450, 0.749733, 0.052018, -0.131026, -0.120929, 0.388391, 0.000000, 0.000000, 0.000000], [0.390297, 0.082406, 0.034605, 0.702663, 0.021966, 0.558729, 0.182438, 0.000000, 0.000000, 0.000000], [-0.179579, -0.328705, -0.551650, 0.420692, -0.014722, -0.455358, 0.413325, 0.000000, 0.000000, 0.000000]]
fourier: [[256.553215, 261.824414, 282.266728, 290.112309, 1044.943069], [267.340658, 271.329038, 293.810831, 301.509516, 1064.300636], [93.959697, 97.906789, 104.353691, 107.640982, 329.858012], [124.291597, 126.288526, 136.455964, 140.119915, 510.231987], [24.461962, 25.750078, 27.858572, 27.872710, 103.197243], [174.358535, 177.281124, 191.608945, 196.607777, 715.516333], [80.925585, 81.399476, 88.414704, 90.885667, 357.048314]]
### 10
mean: [-9.500489, -3.142506, 15.206405, -7.154835, -2.363723, -8.313587, -10.170400]
std: [12.695992, 4.806836, 19.637125, 8.956052, 2.849566, 10.232273, 12.838301]
pca: [[-0.416826, 0.339004, -0.042112, -0.188134, 0.535632, 0.421077, -0.458211, 0.000000, 0.000000, 0.000000], [-0.157664, 0.761976, -0.011403, 0.533758, -0.277250, 0.016282, 0.179929, 0.000000, 0.000000, 0.000000], [0.644730, 0.050718, 0.449066, 0.323122, 0.428107, 0.299390, 0.052653, 0.000000, 0.000000, 0.000000], [-0.294020, -0.428224, -0.248833, 0.724824, 0.330898, -0.161438, -0.085634, 0.000000, 0.000000, 0.000000], [-0.093513, -0.314569, -0.018395, 0.161222, -0.477615, 0.797784, -0.037353, 0.000000, 0.000000, 0.000000], [-0.335948, -0.060005, 0.070945, -0.144748, 0.308550, 0.192446, 0.851654, 0.000000, 0.000000, 0.000000], [-0.421508, -0.126357, 0.853901, 0.054637, -0.141927, -0.182312, -0.144403, 0.000000, 0.000000, 0.000000]]
fourier: [[217.912351, 224.694134, 240.273900, 246.937702, 855.044018], [80.770458, 86.497723, 89.797214, 92.760842, 282.825554], [338.555519, 346.252907, 372.649977, 382.586570, 1368.576192], [155.456752, 156.978836, 170.620429, 174.914434, 643.935158], [49.536720, 49.909680, 54.551778, 55.855587, 212.735092], [176.505679, 180.319501, 194.215732, 199.371848, 748.222835], [221.595099, 226.122302, 243.766883, 250.199250, 915.335934]]
### 12
mean: [-8.644272]
std: [11.376764]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[193.766839, 202.821558, 213.879867, 220.519284, 777.984378]]
## 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.
|
no_repeats
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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-0.031823,
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],
[
0.102945,
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-0.296722,
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"network.8.weight": [
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"network.12.bias": [
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}
## Activation Signature
### 0
mean: [-2.241767, 0.286909, -1.394411, 0.313425, 1.382214, -1.969806, 1.116184]
std: [1.537531, 2.542492, 1.911353, 2.957172, 2.134367, 1.516711, 1.375705]
pca: [[-0.022224, -0.549946, 0.347134, 0.232653, 0.301853, -0.156436, 0.637847, 0.000000, 0.000000, 0.000000], [0.553726, -0.049501, -0.151345, -0.558356, -0.299367, 0.232160, 0.461250, 0.000000, 0.000000, 0.000000], [0.376318, -0.285171, -0.175104, 0.684739, -0.361663, 0.361225, -0.127475, 0.000000, 0.000000, 0.000000], [0.647483, -0.011978, -0.131676, 0.007417, 0.668231, -0.192445, -0.282242, 0.000000, 0.000000, 0.000000], [0.242896, 0.574118, 0.702856, 0.180529, 0.033502, 0.269404, 0.105320, 0.000000, 0.000000, 0.000000], [-0.053873, -0.514407, 0.430702, -0.361558, 0.060347, 0.439171, -0.468766, 0.000000, 0.000000, 0.000000], [-0.264844, 0.139347, -0.359280, 0.043283, 0.486998, 0.699043, 0.231637, 0.000000, 0.000000, 0.000000]]
fourier: [[26.128233, 26.823301, 28.452821, 30.440611, 201.759029], [35.880334, 36.063275, 36.318160, 41.348552, 42.244979], [26.952362, 30.135781, 34.272474, 39.350569, 125.496991], [41.983325, 44.447154, 44.848892, 48.230401, 51.296162], [36.316228, 36.869367, 37.601832, 52.048715, 124.399225], [23.729552, 24.585519, 25.024128, 30.854127, 177.282540], [20.532524, 22.069895, 25.379440, 25.513327, 100.456602]]
### 2
mean: [1.054030, 1.651907, 2.387590, 1.845134, 1.381400, -0.432590, 2.489951]
std: [1.306121, 2.761941, 2.690156, 2.414039, 1.827724, 1.875511, 3.204110]
pca: [[0.200275, -0.394446, 0.041505, 0.741608, -0.442069, 0.015941, -0.238576, 0.000000, 0.000000, 0.000000], [0.433952, 0.619263, -0.421720, 0.085203, -0.063305, 0.364019, -0.326456, 0.000000, 0.000000, 0.000000], [0.433369, 0.200724, 0.023105, 0.216599, -0.073328, -0.145586, 0.835392, 0.000000, 0.000000, 0.000000], [0.388349, -0.020587, 0.480317, 0.224934, 0.725776, 0.022243, -0.200536, 0.000000, 0.000000, 0.000000], [0.289748, -0.322582, 0.301950, -0.382329, -0.233787, 0.710816, 0.121332, 0.000000, 0.000000, 0.000000], [-0.285206, 0.561515, 0.685735, 0.115754, -0.338588, 0.040685, -0.058572, 0.000000, 0.000000, 0.000000], [0.517354, -0.029208, 0.166686, -0.430899, -0.314867, -0.581920, -0.283304, 0.000000, 0.000000, 0.000000]]
fourier: [[23.090753, 23.440533, 23.947146, 28.909825, 94.862668], [46.444051, 47.342784, 50.042492, 50.927042, 148.671608], [46.870509, 46.921131, 50.104025, 50.444776, 214.883088], [42.122259, 44.198330, 44.809717, 47.804651, 166.062136], [30.689968, 32.722876, 33.491558, 40.385689, 124.326028], [31.822766, 34.538358, 36.191924, 38.933138, 41.449887], [55.110615, 56.477154, 59.941567, 64.187354, 224.095567]]
### 4
mean: [-1.161644, 5.880066, -1.613295, -1.512792, 4.489263, -1.157890, 3.720667]
std: [1.242870, 7.910878, 3.111003, 2.538238, 5.437593, 1.207866, 4.511845]
pca: [[-0.106188, -0.404971, -0.073082, 0.403434, -0.438262, 0.651688, -0.199631, 0.000000, 0.000000, 0.000000], [0.690562, 0.130638, -0.321319, 0.092016, -0.242512, 0.111726, 0.568375, 0.000000, 0.000000, 0.000000], [-0.271132, -0.267599, -0.245799, 0.635109, 0.446789, -0.213780, 0.381806, 0.000000, 0.000000, 0.000000], [-0.218616, 0.660482, -0.368195, 0.024370, 0.326360, 0.519197, -0.061102, 0.000000, 0.000000, 0.000000], [0.474261, -0.361812, -0.397281, -0.112441, 0.462639, 0.032853, -0.508507, 0.000000, 0.000000, 0.000000], [-0.103242, -0.384869, 0.207491, -0.499993, 0.346727, 0.454201, 0.470800, 0.000000, 0.000000, 0.000000], [0.393650, 0.179039, 0.703238, 0.402717, 0.329741, 0.200436, -0.085771, 0.000000, 0.000000, 0.000000]]
fourier: [[21.539655, 22.553238, 22.733666, 22.866768, 104.547931], [137.689116, 138.275417, 149.281870, 153.509431, 529.206057], [54.159385, 54.824187, 58.462146, 59.189915, 145.196580], [40.362459, 45.489243, 47.830854, 53.040448, 136.151287], [92.572879, 95.855436, 102.675062, 108.640750, 404.033663], [20.652984, 21.414585, 22.214915, 22.423754, 104.210086], [77.550734, 78.733918, 85.264522, 86.104948, 334.860021]]
### 6
mean: [-0.977896, 6.755631, 6.230751, -1.812583, 4.174980, 2.056143, 6.624682]
std: [0.948797, 8.881045, 7.980829, 3.152805, 5.886859, 3.336874, 8.012897]
pca: [[-0.057976, -0.316396, 0.532922, -0.007258, -0.264804, 0.736188, 0.019474, 0.000000, 0.000000, 0.000000], [0.547281, 0.253243, -0.476658, -0.366160, -0.333061, 0.377469, -0.147183, 0.000000, 0.000000, 0.000000], [0.491789, 0.252843, 0.572334, 0.035717, -0.404429, -0.416487, 0.168368, 0.000000, 0.000000, 0.000000], [-0.193867, 0.746641, 0.128025, -0.071806, 0.285169, 0.302676, 0.458762, 0.000000, 0.000000, 0.000000], [0.362752, -0.279010, 0.226616, -0.588835, 0.617797, -0.041498, 0.095333, 0.000000, 0.000000, 0.000000], [0.205527, -0.360994, -0.304147, 0.229031, -0.078399, 0.033531, 0.821712, 0.000000, 0.000000, 0.000000], [0.493812, 0.078714, 0.031226, 0.678425, 0.431562, 0.218228, -0.234197, 0.000000, 0.000000, 0.000000]]
fourier: [[16.113055, 17.289459, 17.886370, 18.382812, 88.010648], [153.825205, 156.054712, 168.292992, 172.706810, 608.006871], [137.637504, 140.845980, 151.638076, 157.040144, 560.767532], [52.219612, 56.124218, 58.090874, 59.855735, 163.132456], [100.604826, 104.001791, 110.609503, 114.917712, 375.748223], [56.465759, 59.000678, 62.524198, 63.840328, 185.052884], [137.681261, 141.270962, 152.309751, 156.385092, 596.221373]]
### 8
mean: [11.610477, 11.825562, -3.665089, -5.669244, -1.146636, 7.950182, -3.967203]
std: [14.873397, 15.453020, 5.530875, 7.181423, 1.443135, 10.083145, 4.639821]
pca: [[0.575717, -0.204768, 0.002118, -0.144398, 0.744927, -0.224943, 0.015802, 0.000000, 0.000000, 0.000000], [0.598153, 0.221332, -0.120188, -0.326973, -0.518795, -0.150048, 0.424507, 0.000000, 0.000000, 0.000000], [-0.214024, 0.733280, 0.272317, 0.155414, 0.296699, -0.303849, 0.371255, 0.000000, 0.000000, 0.000000], [-0.277977, -0.084226, -0.209238, -0.417924, 0.264647, 0.548096, 0.571617, 0.000000, 0.000000, 0.000000], [-0.055727, -0.499450, 0.749733, 0.052018, -0.131026, -0.120929, 0.388391, 0.000000, 0.000000, 0.000000], [0.390297, 0.082406, 0.034605, 0.702663, 0.021966, 0.558729, 0.182438, 0.000000, 0.000000, 0.000000], [-0.179579, -0.328705, -0.551650, 0.420692, -0.014722, -0.455358, 0.413325, 0.000000, 0.000000, 0.000000]]
fourier: [[256.553215, 261.824414, 282.266728, 290.112309, 1044.943069], [267.340658, 271.329038, 293.810831, 301.509516, 1064.300636], [93.959697, 97.906789, 104.353691, 107.640982, 329.858012], [124.291597, 126.288526, 136.455964, 140.119915, 510.231987], [24.461962, 25.750078, 27.858572, 27.872710, 103.197243], [174.358535, 177.281124, 191.608945, 196.607777, 715.516333], [80.925585, 81.399476, 88.414704, 90.885667, 357.048314]]
### 10
mean: [-9.500489, -3.142506, 15.206405, -7.154835, -2.363723, -8.313587, -10.170400]
std: [12.695992, 4.806836, 19.637125, 8.956052, 2.849566, 10.232273, 12.838301]
pca: [[-0.416826, 0.339004, -0.042112, -0.188134, 0.535632, 0.421077, -0.458211, 0.000000, 0.000000, 0.000000], [-0.157664, 0.761976, -0.011403, 0.533758, -0.277250, 0.016282, 0.179929, 0.000000, 0.000000, 0.000000], [0.644730, 0.050718, 0.449066, 0.323122, 0.428107, 0.299390, 0.052653, 0.000000, 0.000000, 0.000000], [-0.294020, -0.428224, -0.248833, 0.724824, 0.330898, -0.161438, -0.085634, 0.000000, 0.000000, 0.000000], [-0.093513, -0.314569, -0.018395, 0.161222, -0.477615, 0.797784, -0.037353, 0.000000, 0.000000, 0.000000], [-0.335948, -0.060005, 0.070945, -0.144748, 0.308550, 0.192446, 0.851654, 0.000000, 0.000000, 0.000000], [-0.421508, -0.126357, 0.853901, 0.054637, -0.141927, -0.182312, -0.144403, 0.000000, 0.000000, 0.000000]]
fourier: [[217.912351, 224.694134, 240.273900, 246.937702, 855.044018], [80.770458, 86.497723, 89.797214, 92.760842, 282.825554], [338.555519, 346.252907, 372.649977, 382.586570, 1368.576192], [155.456752, 156.978836, 170.620429, 174.914434, 643.935158], [49.536720, 49.909680, 54.551778, 55.855587, 212.735092], [176.505679, 180.319501, 194.215732, 199.371848, 748.222835], [221.595099, 226.122302, 243.766883, 250.199250, 915.335934]]
### 12
mean: [-8.644272]
std: [11.376764]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[193.766839, 202.821558, 213.879867, 220.519284, 777.984378]]
## 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.
no_repeats
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.249872, -0.391613, -0.218853, -0.005641, -0.419213], [0.809378, 0.32532, -0.050929, -0.213557, -1.023405], [0.427918, 0.276529, -0.360971, -0.119129, -0.822106], [1.078633, 0.245981, -0.126827, -0.017531, -1.20173], [1.081294, -0.398263, 0.046433, -0.012852, 0.081849], [-0.301712, -0.445302, -0.086013, -0.086107, -0.350616], [-0.476069, 0.16239, 0.155694, 0.185445, 0.528783]], "network.0.bias": [-0.230923, 0.513426, -0.407404, 0.307548, 0.591948, 0.013845, 0.037645], "network.2.weight": [[0.271353, 0.02135, -0.617683, 0.290378, 0.515394, 0.078902, -0.08519], [0.002235, 0.72854, 0.436622, 0.448451, 0.27969, 0.456847, -0.190757], [0.027154, 0.528412, 0.172833, 0.46861, 0.533036, 0.318054, -0.072976], [-0.143628, 0.615595, 0.112852, 0.222845, 0.628136, -0.090101, 0.103565], [0.113157, -0.03358, 0.326273, 0.34237, 0.617979, 0.49382, -0.022913], [0.184137, -0.203885, -0.106184, 0.042767, -0.719494, -0.067033, 0.437224], [0.361012, 0.294451, 0.608666, 0.598525, 0.784163, -0.134293, -0.098491]], "network.2.bias": [0.149128, 0.123073, 0.559391, -0.13933, 0.039114, 0.294449, 0.305749], "network.4.weight": [[0.273689, -0.419738, 0.057745, 0.067758, -0.476189, -0.180154, 0.013078], [0.286734, 0.569796, 0.702191, 0.549242, 0.266542, -0.389663, 0.706143], [0.264273, -0.50713, 0.215503, -0.29644, -0.381311, 0.169675, -0.382964], [-0.219024, 0.102763, -0.511035, -0.037252, -0.385556, 0.713799, -0.049581], [0.325296, 0.031047, 0.75843, 0.221764, 0.195209, -0.476844, 0.593922], [-0.080035, -0.335593, -0.194781, -0.160161, -0.09468, -0.210076, 0.257239], [0.153908, 0.354107, 0.536244, -0.06809, -0.035723, -0.239556, 0.657142]], "network.4.bias": [-0.287188, -0.04611, 0.415839, 0.169608, 0.334704, -0.152239, 0.313974], "network.6.weight": [[-0.32943, -0.065327, -0.130124, -0.221015, 0.089065, 0.152224, -0.209946], [-0.032269, 0.667165, 0.071197, -0.064677, 0.333844, -0.0309, 0.39898], [0.319165, 0.503955, 0.24632, -0.142707, 0.753327, -0.087794, -0.018342], [-0.241663, -0.271637, 0.255292, 0.661663, 0.062942, -0.286703, -0.275309], [-0.042256, 0.224404, -0.3101, -0.17815, 0.45778, 0.054854, 0.350234], [0.074686, 0.250926, -0.031823, -0.409064, -0.018908, 0.372, 0.311759], [0.102945, 0.390583, 0.380669, -0.296722, 0.574723, 0.254386, 0.401501]], "network.6.bias": [-0.160022, -0.162439, -0.069143, 0.393101, -0.440156, -0.430286, 0.239636], "network.8.weight": [[-0.081816, 0.593182, 0.220714, -0.210661, 0.415433, 0.191234, 0.596252], [0.148154, 0.521823, 0.367838, -0.080293, 0.254723, 0.56463, 0.568256], [-0.150107, 0.122993, 0.020917, 0.45311, -0.403568, -0.212458, -0.460273], [0.281882, -0.301665, -0.394619, 0.064252, 0.1376, -0.370798, -0.1176], [-0.369526, -0.072511, 0.100928, -0.123296, 0.016422, -0.386769, -0.056434], [-0.286436, 0.407802, 0.325695, -0.066304, -0.08652, 0.407932, 0.378512], [-0.027164, -0.347092, -0.296289, -0.167399, 0.008565, 0.053699, 0.06986]], "network.8.bias": [0.130008, -0.048695, 0.52079, -0.184943, -0.126165, 0.152484, -0.360646], "network.10.weight": [[-0.262128, -0.28912, 0.631268, -0.092924, -0.258333, -0.42419, -0.233662], [-0.247102, 0.07616, 0.854654, 0.21693, 0.201734, -0.221377, -0.13922], [0.59636, 0.530285, -0.353841, -0.180133, -0.054688, 0.252417, -0.239935], [-0.347127, -0.106273, -0.289908, -0.183749, 0.317247, -0.215739, -0.473126], [-0.333258, 0.271336, -0.351565, 0.193582, -0.266886, -0.209668, 0.351749], [-0.182216, -0.223499, 0.164102, 0.344759, 0.222982, -0.402198, 0.132612], [-0.201692, -0.298435, 0.158591, 0.117329, 0.188807, -0.517142, -0.040016]], "network.10.bias": [0.266262, 0.492448, 0.04113, -0.119871, 0.002466, -0.374571, -0.20446], "network.12.weight": [[0.458677, 0.635244, -0.575002, 0.031097, 0.254838, -0.130753, 0.005704]], "network.12.bias": [-0.007097]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6828956604003906, "train_acc": 0.575, "val_loss": 0.7042988538742065, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.674789547920227, "train_acc": 0.575, "val_loss": 0.68964022397995, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6531018018722534, "train_acc": 0.575, "val_loss": 0.6423459053039551, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6385446488857269, "train_acc": 0.52, "val_loss": 0.6088782548904419, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.6076843738555908, "train_acc": 0.715, "val_loss": 0.5602688789367676, "val_acc": 0.7}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5165231823921204, "train_acc": 0.75, "val_loss": 0.6051779389381409, "val_acc": 0.66}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5233553647994995, "train_acc": 0.725, "val_loss": 0.5887912511825562, "val_acc": 0.66}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.5063313096761703, "train_acc": 0.74, "val_loss": 0.5485287308692932, "val_acc": 0.7}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.47621381282806396, "train_acc": 0.755, "val_loss": 0.5288200974464417, "val_acc": 0.7}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.43821071088314056, "train_acc": 0.79, "val_loss": 0.4978588819503784, "val_acc": 0.74}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.46755053102970123, "train_acc": 0.825, "val_loss": 0.47207146883010864, "val_acc": 0.78}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.41192108392715454, "train_acc": 0.81, "val_loss": 0.5569881200790405, "val_acc": 0.72}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.42183443903923035, "train_acc": 0.82, "val_loss": 0.421326220035553, "val_acc": 0.8}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.7042988538742065, "final_val_loss": 0.6423459053039551, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.6088782548904419, "final_val_loss": 0.421326220035553, "initial_val_acc": 0.74, "final_val_acc": 0.8, "best_val_acc": 0.8, "best_epoch": 12}, "improvement": 0.30000000000000004, "first_improvement_epoch": 2}}
|
9,404
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.52, "improved_accuracy": 0.88, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7954, "learning_rate": 0.015309555126973049, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "first_last_match", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["first_last_match"], "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: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
0.388124,
0.051347,
-0.370954,
0.257695,
0.600515
],
[
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-0.411747,
-0.088966
],
[
0.487304,
0.006116,
0.255954,
0.547635,
-0.271742
],
[
-0.097022,
0.29249,
0.074764,
0.353061,
-0.407262
],
[
0.224772,
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-0.124065,
-0.002805,
0.562333
],
[
0.328536,
-0.625508,
-0.042984,
-0.196178,
-0.545958
],
[
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]
],
"network.0.bias": [
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"network.2.weight": [
[
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[
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],
[
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[
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0.20684,
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],
[
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0.130639,
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],
[
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[
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],
"network.2.bias": [
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"network.4.weight": [
[
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[
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[
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[
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[
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[
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"network.4.bias": [
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"network.6.weight": [
[
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[
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[
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[
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[
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[
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[
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],
"network.6.bias": [
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"network.8.weight": [
[
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]
],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [1.620964, -1.493927, 2.087461, 0.839960, 1.667003, -1.849624, -0.369248]
std: [1.569110, 1.020400, 1.600454, 1.235401, 1.631591, 1.648835, 1.428247]
pca: [[0.461439, -0.154752, -0.441639, -0.337828, 0.656735, 0.123741, 0.085680, 0.000000, 0.000000, 0.000000], [-0.300262, -0.123458, -0.149339, 0.466616, 0.140250, 0.594559, 0.530469, 0.000000, 0.000000, 0.000000], [0.382679, 0.594056, 0.181283, -0.325342, -0.294094, 0.457690, 0.256849, 0.000000, 0.000000, 0.000000], [0.125325, 0.345814, 0.549812, 0.320889, 0.557507, -0.312090, 0.226340, 0.000000, 0.000000, 0.000000], [0.538897, -0.096889, -0.296713, 0.390547, -0.377532, -0.396610, 0.399759, 0.000000, 0.000000, 0.000000], [-0.494041, 0.352483, -0.348956, -0.358061, 0.026847, -0.404919, 0.465856, 0.000000, 0.000000, 0.000000], [-0.016756, 0.595557, -0.487532, 0.422599, 0.092046, 0.055214, -0.466082, 0.000000, 0.000000, 0.000000]]
fourier: [[24.527833, 25.998441, 28.591154, 30.321062, 145.886810], [16.274881, 16.877522, 17.804959, 18.750276, 134.453425], [26.130148, 26.393755, 29.801003, 29.839618, 187.871518], [18.278981, 18.362957, 20.094763, 22.065406, 75.596378], [23.931203, 26.760324, 30.451575, 31.171912, 150.030316], [26.225234, 26.788481, 28.003609, 29.915060, 166.466133], [22.304164, 22.667673, 24.136283, 24.350336, 33.232319]]
### 2
mean: [0.975916, -0.281403, -0.684205, 0.717519, -0.121199, 2.452452, 0.091327]
std: [0.939441, 0.958944, 0.447308, 0.675679, 0.427504, 2.250042, 0.515810]
pca: [[-0.176773, 0.702891, -0.067801, -0.331602, -0.540133, -0.222959, -0.136690, 0.000000, 0.000000, 0.000000], [-0.349153, 0.028655, 0.687756, 0.138495, -0.091955, 0.438211, -0.429649, 0.000000, 0.000000, 0.000000], [-0.001918, -0.196444, -0.604381, 0.238936, -0.452520, 0.492534, -0.302780, 0.000000, 0.000000, 0.000000], [-0.081655, 0.513777, -0.316295, -0.030046, 0.686677, 0.311673, -0.244450, 0.000000, 0.000000, 0.000000], [-0.138156, 0.215853, 0.057874, 0.012809, -0.111379, 0.536274, 0.794237, 0.000000, 0.000000, 0.000000], [0.899371, 0.264688, 0.231682, 0.098471, -0.101190, 0.201048, -0.083901, 0.000000, 0.000000, 0.000000], [-0.110534, 0.293109, -0.007124, 0.896106, -0.029268, -0.300868, 0.086224, 0.000000, 0.000000, 0.000000]]
fourier: [[14.166944, 14.607325, 15.579342, 18.119498, 87.832471], [14.411648, 16.075030, 16.323737, 19.271083, 25.326283], [7.113580, 7.276027, 7.802306, 8.958463, 61.578449], [10.625610, 11.172310, 11.731089, 12.530393, 64.576715], [6.936170, 7.682002, 8.039155, 8.175406, 10.907873], [37.342663, 38.325501, 43.975388, 48.179823, 220.720715], [6.893214, 8.219420, 8.299554, 10.353999, 10.716652]]
### 4
mean: [-0.434643, -0.050010, 0.271249, 0.477110, 1.144904, 1.122143, 0.220210]
std: [0.206162, 0.598756, 0.846412, 0.594872, 1.947923, 1.522942, 0.833007]
pca: [[-0.054102, -0.187898, 0.273196, 0.151014, -0.510686, 0.759980, 0.161108, 0.000000, 0.000000, 0.000000], [-0.204210, 0.108728, 0.716768, -0.247561, 0.556993, 0.134093, 0.207871, 0.000000, 0.000000, 0.000000], [-0.280863, 0.475555, 0.370498, 0.564526, -0.230189, -0.224377, -0.368338, 0.000000, 0.000000, 0.000000], [-0.118533, 0.771452, -0.382271, -0.248023, 0.080771, 0.420004, 0.015426, 0.000000, 0.000000, 0.000000], [0.693433, 0.259803, 0.355145, -0.406229, -0.340614, -0.126445, -0.168809, 0.000000, 0.000000, 0.000000], [0.542529, 0.193638, -0.029836, 0.582217, 0.256829, 0.045974, 0.510121, 0.000000, 0.000000, 0.000000], [-0.295380, 0.163059, 0.034474, -0.178055, -0.432976, -0.399499, 0.711479, 0.000000, 0.000000, 0.000000]]
fourier: [[3.345982, 3.358930, 3.459245, 4.265459, 39.117856], [7.997792, 9.743611, 10.068231, 11.301966, 13.015567], [13.122061, 13.128518, 16.126807, 16.945847, 24.412390], [8.674252, 8.832794, 10.395612, 11.578837, 42.939894], [33.275196, 35.994639, 37.532014, 44.453260, 103.041322], [25.344515, 28.346675, 30.072774, 34.573558, 100.992858], [13.385091, 15.190487, 16.292377, 18.253337, 19.818876]]
### 6
mean: [1.466771, -0.165167, 0.415432, 0.880013, -0.084140, -0.206433, -0.413760]
std: [2.608766, 0.607409, 0.568648, 1.862478, 0.991575, 0.707800, 1.087750]
pca: [[0.714898, 0.157197, 0.193503, 0.213533, 0.285983, -0.024174, 0.546626, 0.000000, 0.000000, 0.000000], [-0.143122, -0.556415, 0.423023, 0.613892, 0.249995, 0.154754, -0.166313, 0.000000, 0.000000, 0.000000], [0.136562, -0.514513, 0.105146, -0.562815, 0.387927, -0.482799, -0.072310, 0.000000, 0.000000, 0.000000], [0.510447, -0.020423, 0.248422, -0.293488, -0.139681, 0.530790, -0.538450, 0.000000, 0.000000, 0.000000], [-0.271305, -0.044890, -0.211230, -0.270227, 0.556599, 0.644591, 0.285374, 0.000000, 0.000000, 0.000000], [-0.188237, -0.228943, 0.514993, -0.297260, -0.511681, 0.160311, 0.520628, 0.000000, 0.000000, 0.000000], [-0.283181, 0.588320, 0.633248, -0.115147, 0.337784, -0.139415, -0.160906, 0.000000, 0.000000, 0.000000]]
fourier: [[43.474550, 49.929823, 50.364426, 58.054878, 132.009389], [8.551937, 10.558481, 11.061661, 11.874404, 14.865069], [9.990761, 10.381081, 10.807843, 11.318881, 37.388889], [31.120523, 35.819131, 36.592350, 41.421516, 79.201142], [14.239118, 16.226630, 18.957887, 19.441457, 21.991189], [11.460095, 11.968016, 13.788492, 15.084283, 18.578976], [18.117253, 19.576295, 22.017298, 22.254218, 37.238400]]
### 8
mean: [-1.779275]
std: [2.266004]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[38.912442, 40.856757, 46.780910, 48.750396, 160.134744]]
## 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.
|
first_last_match
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.388124,
0.051347,
-0.370954,
0.257695,
0.600515
],
[
-0.188781,
0.084279,
-0.170828,
-0.411747,
-0.088966
],
[
0.487304,
0.006116,
0.255954,
0.547635,
-0.271742
],
[
-0.097022,
0.29249,
0.074764,
0.353061,
-0.407262
],
[
0.224772,
0.574326,
-0.124065,
-0.002805,
0.562333
],
[
0.328536,
-0.625508,
-0.042984,
-0.196178,
-0.545958
],
[
0.599081,
0.118166,
-0.234634,
-0.146499,
-0.40177
]
],
"network.0.bias": [
0.526034,
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0.09601,
0.016714,
-0.087632,
0.065176,
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],
"network.2.weight": [
[
-0.476663,
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0.323572,
0.27143,
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[
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0.131683,
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0.370334,
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],
[
-0.026609,
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0.174887,
0.235393
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[
-0.416926,
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0.20684,
0.261778,
0.232084,
0.385435,
-0.021636
],
[
-0.144934,
-0.292691,
0.130639,
0.175599,
-0.038758,
0.536951,
-0.261916
],
[
0.626586,
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0.200106,
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0.59287,
0.149478,
0.671494
],
[
0.081289,
0.077954,
-0.080857,
0.581719,
-0.149129,
-0.087605,
0.072155
]
],
"network.2.bias": [
0.415936,
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0.369405,
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],
"network.4.weight": [
[
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],
[
0.1247,
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0.16008,
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0.403014,
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0.272123
],
[
0.238311,
0.538858,
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0.493015,
0.222188,
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0.048568
],
[
0.486044,
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0.06847,
0.271107,
0.501387,
0.028256,
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],
[
-0.316685,
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0.678702,
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[
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0.04931,
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0.505089,
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[
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0.092032
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"network.4.bias": [
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],
"network.6.weight": [
[
-0.344012,
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0.707601,
0.432781,
-0.652587
],
[
0.314278,
0.245815,
0.249067,
0.49578,
0.146849,
-0.296312,
0.006936
],
[
0.314887,
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0.068241,
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0.208226,
0.582266
],
[
0.037318,
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0.331918,
0.601944,
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],
[
0.3097,
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0.021394,
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0.355175
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[
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],
[
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0.068619
]
],
"network.6.bias": [
0.582261,
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0.389774
],
"network.8.weight": [
[
-0.677307,
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-0.37137,
0.07203,
0.193492,
0.230301
]
],
"network.8.bias": [
-0.113566
]
}
## Activation Signature
### 0
mean: [1.620964, -1.493927, 2.087461, 0.839960, 1.667003, -1.849624, -0.369248]
std: [1.569110, 1.020400, 1.600454, 1.235401, 1.631591, 1.648835, 1.428247]
pca: [[0.461439, -0.154752, -0.441639, -0.337828, 0.656735, 0.123741, 0.085680, 0.000000, 0.000000, 0.000000], [-0.300262, -0.123458, -0.149339, 0.466616, 0.140250, 0.594559, 0.530469, 0.000000, 0.000000, 0.000000], [0.382679, 0.594056, 0.181283, -0.325342, -0.294094, 0.457690, 0.256849, 0.000000, 0.000000, 0.000000], [0.125325, 0.345814, 0.549812, 0.320889, 0.557507, -0.312090, 0.226340, 0.000000, 0.000000, 0.000000], [0.538897, -0.096889, -0.296713, 0.390547, -0.377532, -0.396610, 0.399759, 0.000000, 0.000000, 0.000000], [-0.494041, 0.352483, -0.348956, -0.358061, 0.026847, -0.404919, 0.465856, 0.000000, 0.000000, 0.000000], [-0.016756, 0.595557, -0.487532, 0.422599, 0.092046, 0.055214, -0.466082, 0.000000, 0.000000, 0.000000]]
fourier: [[24.527833, 25.998441, 28.591154, 30.321062, 145.886810], [16.274881, 16.877522, 17.804959, 18.750276, 134.453425], [26.130148, 26.393755, 29.801003, 29.839618, 187.871518], [18.278981, 18.362957, 20.094763, 22.065406, 75.596378], [23.931203, 26.760324, 30.451575, 31.171912, 150.030316], [26.225234, 26.788481, 28.003609, 29.915060, 166.466133], [22.304164, 22.667673, 24.136283, 24.350336, 33.232319]]
### 2
mean: [0.975916, -0.281403, -0.684205, 0.717519, -0.121199, 2.452452, 0.091327]
std: [0.939441, 0.958944, 0.447308, 0.675679, 0.427504, 2.250042, 0.515810]
pca: [[-0.176773, 0.702891, -0.067801, -0.331602, -0.540133, -0.222959, -0.136690, 0.000000, 0.000000, 0.000000], [-0.349153, 0.028655, 0.687756, 0.138495, -0.091955, 0.438211, -0.429649, 0.000000, 0.000000, 0.000000], [-0.001918, -0.196444, -0.604381, 0.238936, -0.452520, 0.492534, -0.302780, 0.000000, 0.000000, 0.000000], [-0.081655, 0.513777, -0.316295, -0.030046, 0.686677, 0.311673, -0.244450, 0.000000, 0.000000, 0.000000], [-0.138156, 0.215853, 0.057874, 0.012809, -0.111379, 0.536274, 0.794237, 0.000000, 0.000000, 0.000000], [0.899371, 0.264688, 0.231682, 0.098471, -0.101190, 0.201048, -0.083901, 0.000000, 0.000000, 0.000000], [-0.110534, 0.293109, -0.007124, 0.896106, -0.029268, -0.300868, 0.086224, 0.000000, 0.000000, 0.000000]]
fourier: [[14.166944, 14.607325, 15.579342, 18.119498, 87.832471], [14.411648, 16.075030, 16.323737, 19.271083, 25.326283], [7.113580, 7.276027, 7.802306, 8.958463, 61.578449], [10.625610, 11.172310, 11.731089, 12.530393, 64.576715], [6.936170, 7.682002, 8.039155, 8.175406, 10.907873], [37.342663, 38.325501, 43.975388, 48.179823, 220.720715], [6.893214, 8.219420, 8.299554, 10.353999, 10.716652]]
### 4
mean: [-0.434643, -0.050010, 0.271249, 0.477110, 1.144904, 1.122143, 0.220210]
std: [0.206162, 0.598756, 0.846412, 0.594872, 1.947923, 1.522942, 0.833007]
pca: [[-0.054102, -0.187898, 0.273196, 0.151014, -0.510686, 0.759980, 0.161108, 0.000000, 0.000000, 0.000000], [-0.204210, 0.108728, 0.716768, -0.247561, 0.556993, 0.134093, 0.207871, 0.000000, 0.000000, 0.000000], [-0.280863, 0.475555, 0.370498, 0.564526, -0.230189, -0.224377, -0.368338, 0.000000, 0.000000, 0.000000], [-0.118533, 0.771452, -0.382271, -0.248023, 0.080771, 0.420004, 0.015426, 0.000000, 0.000000, 0.000000], [0.693433, 0.259803, 0.355145, -0.406229, -0.340614, -0.126445, -0.168809, 0.000000, 0.000000, 0.000000], [0.542529, 0.193638, -0.029836, 0.582217, 0.256829, 0.045974, 0.510121, 0.000000, 0.000000, 0.000000], [-0.295380, 0.163059, 0.034474, -0.178055, -0.432976, -0.399499, 0.711479, 0.000000, 0.000000, 0.000000]]
fourier: [[3.345982, 3.358930, 3.459245, 4.265459, 39.117856], [7.997792, 9.743611, 10.068231, 11.301966, 13.015567], [13.122061, 13.128518, 16.126807, 16.945847, 24.412390], [8.674252, 8.832794, 10.395612, 11.578837, 42.939894], [33.275196, 35.994639, 37.532014, 44.453260, 103.041322], [25.344515, 28.346675, 30.072774, 34.573558, 100.992858], [13.385091, 15.190487, 16.292377, 18.253337, 19.818876]]
### 6
mean: [1.466771, -0.165167, 0.415432, 0.880013, -0.084140, -0.206433, -0.413760]
std: [2.608766, 0.607409, 0.568648, 1.862478, 0.991575, 0.707800, 1.087750]
pca: [[0.714898, 0.157197, 0.193503, 0.213533, 0.285983, -0.024174, 0.546626, 0.000000, 0.000000, 0.000000], [-0.143122, -0.556415, 0.423023, 0.613892, 0.249995, 0.154754, -0.166313, 0.000000, 0.000000, 0.000000], [0.136562, -0.514513, 0.105146, -0.562815, 0.387927, -0.482799, -0.072310, 0.000000, 0.000000, 0.000000], [0.510447, -0.020423, 0.248422, -0.293488, -0.139681, 0.530790, -0.538450, 0.000000, 0.000000, 0.000000], [-0.271305, -0.044890, -0.211230, -0.270227, 0.556599, 0.644591, 0.285374, 0.000000, 0.000000, 0.000000], [-0.188237, -0.228943, 0.514993, -0.297260, -0.511681, 0.160311, 0.520628, 0.000000, 0.000000, 0.000000], [-0.283181, 0.588320, 0.633248, -0.115147, 0.337784, -0.139415, -0.160906, 0.000000, 0.000000, 0.000000]]
fourier: [[43.474550, 49.929823, 50.364426, 58.054878, 132.009389], [8.551937, 10.558481, 11.061661, 11.874404, 14.865069], [9.990761, 10.381081, 10.807843, 11.318881, 37.388889], [31.120523, 35.819131, 36.592350, 41.421516, 79.201142], [14.239118, 16.226630, 18.957887, 19.441457, 21.991189], [11.460095, 11.968016, 13.788492, 15.084283, 18.578976], [18.117253, 19.576295, 22.017298, 22.254218, 37.238400]]
### 8
mean: [-1.779275]
std: [2.266004]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[38.912442, 40.856757, 46.780910, 48.750396, 160.134744]]
## 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.
first_last_match
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.6209644079208374, "std": 1.5691101551055908, "pca": [0.46143874526023865, -0.15475155413150787, -0.44163912534713745, -0.3378279507160187, 0.6567347049713135, 0.12374119460582733, 0.08567987382411957, 0.0, 0.0, 0.0], "fourier": [24.527832504610377, 25.998440625740415, 28.591153575271715, 30.321062104136963, 145.88680958747864]}, "1": {"mean": -1.4939271211624146, "std": 1.0204004049301147, "pca": [-0.3002621531486511, -0.12345796823501587, -0.14933934807777405, 0.46661576628685, 0.14024998247623444, 0.594559371471405, 0.5304690003395081, 0.0, 0.0, 0.0], "fourier": [16.274880842639554, 16.877521594855498, 17.804958545575197, 18.750276290225095, 134.45342531055212]}, "2": {"mean": 2.087461233139038, "std": 1.6004539728164673, "pca": [0.3826790452003479, 0.5940563678741455, 0.18128295242786407, -0.32534223794937134, -0.2940939962863922, 0.4576900601387024, 0.25684869289398193, 0.0, 0.0, 0.0], "fourier": [26.13014810354351, 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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.388124, 0.051347, -0.370954, 0.257695, 0.600515], [-0.188781, 0.084279, -0.170828, -0.411747, -0.088966], [0.487304, 0.006116, 0.255954, 0.547635, -0.271742], [-0.097022, 0.29249, 0.074764, 0.353061, -0.407262], [0.224772, 0.574326, -0.124065, -0.002805, 0.562333], [0.328536, -0.625508, -0.042984, -0.196178, -0.545958], [0.599081, 0.118166, -0.234634, -0.146499, -0.40177]], "network.0.bias": [0.526034, -0.063042, 0.09601, 0.016714, -0.087632, 0.065176, -0.030295], "network.2.weight": [[-0.476663, -0.415888, 0.357219, 0.323572, 0.27143, 0.444331, -0.561288], [0.042771, -0.153361, 0.249569, 0.131683, -0.537521, 0.370334, -0.576786], [-0.026609, -0.413118, -0.40844, 0.240635, 0.136621, 0.174887, 0.235393], [-0.416926, -0.64763, 0.20684, 0.261778, 0.232084, 0.385435, -0.021636], [-0.144934, -0.292691, 0.130639, 0.175599, -0.038758, 0.536951, -0.261916], [0.626586, -0.151305, 0.200106, -0.560901, 0.59287, 0.149478, 0.671494], [0.081289, 0.077954, -0.080857, 0.581719, -0.149129, -0.087605, 0.072155]], "network.2.bias": [0.415936, 0.066392, -0.340015, 0.31672, -0.180293, 0.369405, -0.173733], "network.4.weight": [[-0.10299, 0.227984, 0.213345, 0.019986, 0.239934, -0.067832, -0.125828], [0.1247, 0.559864, 0.16008, -0.011496, 0.403014, -0.107528, 0.272123], [0.238311, 0.538858, -0.267677, 0.493015, 0.222188, -0.138734, 0.048568], [0.486044, -0.176003, 0.06847, 0.271107, 0.501387, 0.028256, -0.158487], [-0.316685, -0.075469, -0.468865, -0.377809, -0.498758, 0.678702, -0.494264], [-0.50602, -0.228643, -0.100403, 0.04931, -0.324461, 0.505089, -0.294065], [0.400471, 0.235844, -0.112609, 0.126308, -0.086849, -0.229113, 0.092032]], "network.4.bias": [-0.181939, -0.004794, -0.052047, -0.161073, 0.09174, 0.421347, 0.255971], "network.6.weight": [[-0.344012, -0.352159, -0.715816, -0.275347, 0.707601, 0.432781, -0.652587], [0.314278, 0.245815, 0.249067, 0.49578, 0.146849, -0.296312, 0.006936], [0.314887, -0.38348, 0.068241, -0.088116, 0.260162, 0.208226, 0.582266], [0.037318, -0.561945, -0.180109, -0.239028, 0.331918, 0.601944, -0.410171], [0.3097, -0.199825, 0.443218, -0.073719, 0.021394, -0.514055, 0.355175], [-0.251009, -0.163715, 0.335893, 0.35471, -0.487256, 0.314794, 0.180098], [-0.191342, -0.454391, -0.177212, 0.462459, -0.541929, -0.16757, 0.068619]], "network.6.bias": [0.582261, -0.286685, -0.293672, 0.076104, 0.311795, -0.273932, 0.389774], "network.8.weight": [[-0.677307, 0.443057, -0.158468, -0.37137, 0.07203, 0.193492, 0.230301]], "network.8.bias": [-0.113566]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6840380132198334, "train_acc": 0.59, "val_loss": 0.7004042267799377, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6816995739936829, "train_acc": 0.59, "val_loss": 0.7031734585762024, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6761590838432312, "train_acc": 0.59, "val_loss": 0.7014417052268982, "val_acc": 0.46}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6629797220230103, "train_acc": 0.59, "val_loss": 0.6896601915359497, "val_acc": 0.46}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.646996408700943, "train_acc": 0.6, "val_loss": 0.6590492129325867, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6358919143676758, "train_acc": 0.625, "val_loss": 0.5765587687492371, "val_acc": 0.7}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5676366686820984, "train_acc": 0.725, "val_loss": 0.5053862929344177, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.5644624829292297, "train_acc": 0.765, "val_loss": 0.46626776456832886, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.5225138962268829, "train_acc": 0.765, "val_loss": 0.46123331785202026, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.4798585921525955, "train_acc": 0.72, "val_loss": 0.46362513303756714, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.45707035064697266, "train_acc": 0.725, "val_loss": 0.43633416295051575, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.4483368992805481, "train_acc": 0.765, "val_loss": 0.4062556326389313, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.45065276324748993, "train_acc": 0.785, "val_loss": 0.390817254781723, "val_acc": 0.84}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.42606838047504425, "train_acc": 0.8, "val_loss": 0.3848990499973297, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.4294382333755493, "train_acc": 0.805, "val_loss": 0.3831438422203064, "val_acc": 0.88}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.7004042267799377, "final_val_loss": 0.6590492129325867, "initial_val_acc": 0.46, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.5765587687492371, "final_val_loss": 0.3831438422203064, "initial_val_acc": 0.7, "final_val_acc": 0.88, "best_val_acc": 0.88, "best_epoch": 14}, "improvement": 0.36, "first_improvement_epoch": 4}}
|
9,405
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.42, "improved_accuracy": 0.94, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4351, "learning_rate": 0.03706292930374344, "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: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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[
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[
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],
[
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],
[
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}
## Activation Signature
### 0
mean: [0.329315, 2.525214, -0.442523, -0.629682, 2.183941, 0.399561, 1.480717, 1.523715]
std: [1.244184, 2.013562, 1.024459, 1.707680, 2.033380, 1.555892, 1.477690, 2.273749]
pca: [[-0.236038, 0.343250, 0.119159, -0.261295, 0.395583, 0.679628, -0.073747, -0.346660, 0.000000, 0.000000], [0.468283, 0.287987, -0.294616, -0.158753, 0.664925, -0.351196, 0.140289, 0.025092, 0.000000, 0.000000], [0.062028, -0.415920, 0.137625, -0.316679, 0.152703, 0.319450, 0.561606, 0.513000, 0.000000, 0.000000], [-0.399208, 0.193482, 0.086969, 0.660353, 0.383080, 0.014967, 0.004604, 0.461056, 0.000000, 0.000000], [0.401004, 0.553432, -0.142780, 0.258752, -0.430071, 0.332939, 0.369776, 0.114131, 0.000000, 0.000000], [-0.306294, 0.287470, 0.484816, -0.108828, -0.053109, -0.423225, 0.567656, -0.269226, 0.000000, 0.000000], [0.227869, 0.320199, 0.585412, -0.299149, -0.074128, -0.076333, -0.447193, 0.449497, 0.000000, 0.000000], [0.505211, -0.312033, 0.523793, 0.449316, 0.195050, 0.129234, 0.022544, -0.340440, 0.000000, 0.000000]]
fourier: [[20.179999, 22.116656, 24.527842, 25.256713, 29.638321], [34.324772, 36.042284, 36.331771, 36.342295, 227.269263], [16.565859, 16.878890, 17.118634, 20.521579, 39.827090], [26.207963, 29.177224, 29.426971, 36.582796, 56.671384], [29.463698, 31.959395, 39.649128, 41.329769, 196.554669], [28.073778, 28.601622, 29.625787, 34.322194, 35.960467], [24.133675, 24.327164, 28.227802, 29.546746, 133.264521], [34.393015, 34.610491, 39.928295, 41.214220, 137.134365]]
### 2
mean: [0.905311, 3.363319, 2.499829, 2.795702, -0.018760, 1.336748, 0.259218, 1.882317]
std: [0.828684, 3.432968, 2.348800, 2.646870, 1.003609, 0.842291, 0.708042, 2.276055]
pca: [[-0.014189, 0.493161, -0.079452, 0.444461, -0.565891, -0.096562, -0.429398, -0.196958, 0.000000, 0.000000], [0.628195, -0.220674, 0.427832, 0.337203, 0.254963, -0.142274, -0.125483, -0.398667, 0.000000, 0.000000], [0.402275, 0.516179, -0.268069, -0.512359, 0.065195, -0.326463, 0.215953, -0.282660, 0.000000, 0.000000], [0.486899, 0.077925, -0.205023, 0.073792, -0.185050, 0.788469, 0.207798, 0.101349, 0.000000, 0.000000], [-0.150949, 0.293249, 0.806306, -0.227690, -0.268733, 0.160020, 0.298151, -0.050290, 0.000000, 0.000000], [-0.003705, 0.504150, 0.159305, -0.009635, 0.601791, 0.212906, -0.452249, 0.329146, 0.000000, 0.000000], [-0.089763, 0.302252, -0.068180, 0.606231, 0.241890, -0.180940, 0.644589, 0.147232, 0.000000, 0.000000], [0.418829, -0.063748, 0.128824, -0.036604, -0.288767, -0.372154, -0.033722, 0.761289, 0.000000, 0.000000]]
fourier: [[13.429166, 13.496031, 13.817076, 17.174600, 81.478005], [56.411251, 62.040562, 63.130350, 64.285472, 302.698689], [35.104020, 36.964513, 39.348097, 44.371987, 224.984598], [40.668406, 44.955349, 47.410919, 49.478785, 251.613135], [14.991440, 15.406085, 16.179869, 17.484625, 21.074162], [13.497775, 13.526815, 13.699001, 16.899685, 120.307322], [12.045955, 12.772007, 13.820648, 14.119405, 23.329649], [37.424823, 40.857777, 41.324785, 41.913201, 169.408552]]
### 4
mean: [4.828723, -2.325592, 1.879923, -1.378996, -2.891175, 0.975638, 1.418326, 3.758028]
std: [5.374961, 1.623256, 2.466137, 1.060765, 1.786335, 1.749393, 1.918415, 3.201059]
pca: [[0.717236, -0.003291, 0.398852, 0.009954, 0.408537, -0.328299, 0.068245, 0.216885, 0.000000, 0.000000], [-0.210833, 0.223521, -0.015126, 0.622055, -0.228644, -0.522055, -0.185842, 0.398811, 0.000000, 0.000000], [0.325959, 0.196118, -0.397802, 0.229866, -0.231168, -0.193941, 0.621976, -0.407796, 0.000000, 0.000000], [-0.030054, 0.632921, -0.186488, 0.217021, 0.576451, 0.194628, -0.279650, -0.261251, 0.000000, 0.000000], [-0.227160, 0.322398, 0.427621, 0.133992, 0.029049, 0.408591, 0.601265, 0.338134, 0.000000, 0.000000], [0.221821, 0.319231, 0.531753, 0.032876, -0.548541, 0.123259, -0.310485, -0.390582, 0.000000, 0.000000], [0.231984, 0.491262, -0.345943, -0.521233, -0.274839, 0.022887, -0.085612, 0.479683, 0.000000, 0.000000], [0.423493, -0.252566, -0.249733, 0.471480, -0.133443, 0.601267, -0.174636, 0.249754, 0.000000, 0.000000]]
fourier: [[89.698194, 92.399698, 92.957176, 97.468754, 434.585064], [23.943570, 25.620028, 29.986801, 29.999087, 209.303276], [41.844937, 42.242694, 43.603316, 45.523118, 169.193058], [15.693460, 17.721788, 20.323473, 21.125927, 124.109611], [25.881318, 26.432842, 33.579014, 34.693564, 260.205766], [28.958603, 30.375029, 31.446427, 33.820101, 87.807463], [31.376577, 32.730322, 34.119579, 36.302691, 127.649369], [50.376435, 50.721784, 58.695680, 58.814940, 338.222492]]
### 6
mean: [0.383914, 2.373418, 6.362345, 5.891967, -1.856935, 4.541368, 3.167265, -2.901560]
std: [0.732072, 2.845358, 6.679827, 6.182148, 1.480763, 5.185559, 3.029571, 2.941728]
pca: [[-0.054626, -0.601297, -0.173568, 0.570104, -0.335808, 0.384736, 0.006161, 0.139593, 0.000000, 0.000000], [0.242103, -0.036543, 0.578017, -0.106930, -0.283415, 0.205335, 0.661890, -0.184196, 0.000000, 0.000000], [0.568525, 0.120489, -0.214596, -0.356421, -0.057651, 0.636477, -0.279772, 0.049747, 0.000000, 0.000000], [0.526177, -0.110959, -0.130944, -0.043701, -0.268995, -0.534837, 0.116796, 0.565437, 0.000000, 0.000000], [-0.121171, 0.702349, 0.072626, 0.426614, -0.069885, 0.245637, 0.114863, 0.475746, 0.000000, 0.000000], [0.441343, -0.091145, 0.006885, 0.403566, 0.768092, 0.013844, 0.200949, -0.058809, 0.000000, 0.000000], [0.257770, 0.036315, 0.610601, 0.300832, -0.149354, -0.144673, -0.636211, -0.144573, 0.000000, 0.000000], [-0.249816, -0.327654, 0.440928, -0.315018, 0.337744, 0.192877, -0.107756, 0.611308, 0.000000, 0.000000]]
fourier: [[12.503813, 12.599096, 12.955578, 13.268477, 34.552227], [47.624842, 48.394911, 48.446122, 51.847244, 213.607647], [113.079367, 113.161528, 114.355887, 122.136335, 572.611091], [103.934262, 105.335043, 105.747741, 113.486055, 530.277037], [22.116333, 23.937295, 25.952543, 26.536861, 167.124194], [86.596113, 88.796355, 88.899302, 95.736965, 408.723190], [50.818995, 50.988102, 52.134505, 55.727524, 285.053812], [49.342506, 49.595779, 51.394759, 54.369396, 261.140376]]
### 8
mean: [-1.270287, -1.555184, 2.968815, -0.147601, -2.346464, 7.734075, 0.183257, -1.814348]
std: [1.519452, 1.639316, 3.376114, 1.351228, 2.071455, 8.779844, 1.024713, 1.843610]
pca: [[-0.148848, 0.215876, 0.381766, -0.368495, 0.520100, -0.194890, 0.253020, -0.526500, 0.000000, 0.000000], [-0.160721, -0.105564, 0.340489, 0.566530, 0.292847, 0.262114, 0.530797, 0.299879, 0.000000, 0.000000], [0.331084, 0.208398, 0.203129, -0.098307, 0.444723, -0.337290, -0.313560, 0.621422, 0.000000, 0.000000], [-0.131667, 0.478031, -0.340355, 0.611544, 0.268652, -0.103236, -0.313385, -0.288585, 0.000000, 0.000000], [-0.202565, -0.504853, -0.339014, -0.165717, 0.578072, 0.383543, -0.283280, 0.013368, 0.000000, 0.000000], [0.861187, 0.023633, -0.028759, 0.078319, 0.127586, 0.383940, 0.097715, -0.278572, 0.000000, 0.000000], [-0.098976, 0.557067, -0.463792, -0.346443, 0.057637, 0.316070, 0.395046, 0.292354, 0.000000, 0.000000], [-0.180525, 0.323345, 0.500358, -0.077370, -0.141483, 0.611945, -0.460271, 0.013103, 0.000000, 0.000000]]
fourier: [[25.159532, 26.199785, 26.586459, 27.116007, 114.325797], [27.454038, 27.665026, 27.849075, 30.127251, 139.966562], [57.007195, 57.056363, 57.286022, 62.046330, 267.193354], [21.924438, 22.662030, 22.869884, 23.129251, 24.550316], [34.069276, 34.515630, 36.340535, 38.968791, 211.181778], [147.057088, 149.468331, 149.940334, 160.155519, 696.066789], [16.589473, 16.918141, 17.432869, 18.128293, 18.843042], [30.302061, 31.874804, 32.347846, 32.577464, 163.291338]]
### 10
mean: [-3.519714]
std: [5.074498]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[83.151590, 86.103459, 88.549995, 89.662901, 316.774242]]
## 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: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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],
"network.0.bias": [
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[
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## Activation Signature
### 0
mean: [0.329315, 2.525214, -0.442523, -0.629682, 2.183941, 0.399561, 1.480717, 1.523715]
std: [1.244184, 2.013562, 1.024459, 1.707680, 2.033380, 1.555892, 1.477690, 2.273749]
pca: [[-0.236038, 0.343250, 0.119159, -0.261295, 0.395583, 0.679628, -0.073747, -0.346660, 0.000000, 0.000000], [0.468283, 0.287987, -0.294616, -0.158753, 0.664925, -0.351196, 0.140289, 0.025092, 0.000000, 0.000000], [0.062028, -0.415920, 0.137625, -0.316679, 0.152703, 0.319450, 0.561606, 0.513000, 0.000000, 0.000000], [-0.399208, 0.193482, 0.086969, 0.660353, 0.383080, 0.014967, 0.004604, 0.461056, 0.000000, 0.000000], [0.401004, 0.553432, -0.142780, 0.258752, -0.430071, 0.332939, 0.369776, 0.114131, 0.000000, 0.000000], [-0.306294, 0.287470, 0.484816, -0.108828, -0.053109, -0.423225, 0.567656, -0.269226, 0.000000, 0.000000], [0.227869, 0.320199, 0.585412, -0.299149, -0.074128, -0.076333, -0.447193, 0.449497, 0.000000, 0.000000], [0.505211, -0.312033, 0.523793, 0.449316, 0.195050, 0.129234, 0.022544, -0.340440, 0.000000, 0.000000]]
fourier: [[20.179999, 22.116656, 24.527842, 25.256713, 29.638321], [34.324772, 36.042284, 36.331771, 36.342295, 227.269263], [16.565859, 16.878890, 17.118634, 20.521579, 39.827090], [26.207963, 29.177224, 29.426971, 36.582796, 56.671384], [29.463698, 31.959395, 39.649128, 41.329769, 196.554669], [28.073778, 28.601622, 29.625787, 34.322194, 35.960467], [24.133675, 24.327164, 28.227802, 29.546746, 133.264521], [34.393015, 34.610491, 39.928295, 41.214220, 137.134365]]
### 2
mean: [0.905311, 3.363319, 2.499829, 2.795702, -0.018760, 1.336748, 0.259218, 1.882317]
std: [0.828684, 3.432968, 2.348800, 2.646870, 1.003609, 0.842291, 0.708042, 2.276055]
pca: [[-0.014189, 0.493161, -0.079452, 0.444461, -0.565891, -0.096562, -0.429398, -0.196958, 0.000000, 0.000000], [0.628195, -0.220674, 0.427832, 0.337203, 0.254963, -0.142274, -0.125483, -0.398667, 0.000000, 0.000000], [0.402275, 0.516179, -0.268069, -0.512359, 0.065195, -0.326463, 0.215953, -0.282660, 0.000000, 0.000000], [0.486899, 0.077925, -0.205023, 0.073792, -0.185050, 0.788469, 0.207798, 0.101349, 0.000000, 0.000000], [-0.150949, 0.293249, 0.806306, -0.227690, -0.268733, 0.160020, 0.298151, -0.050290, 0.000000, 0.000000], [-0.003705, 0.504150, 0.159305, -0.009635, 0.601791, 0.212906, -0.452249, 0.329146, 0.000000, 0.000000], [-0.089763, 0.302252, -0.068180, 0.606231, 0.241890, -0.180940, 0.644589, 0.147232, 0.000000, 0.000000], [0.418829, -0.063748, 0.128824, -0.036604, -0.288767, -0.372154, -0.033722, 0.761289, 0.000000, 0.000000]]
fourier: [[13.429166, 13.496031, 13.817076, 17.174600, 81.478005], [56.411251, 62.040562, 63.130350, 64.285472, 302.698689], [35.104020, 36.964513, 39.348097, 44.371987, 224.984598], [40.668406, 44.955349, 47.410919, 49.478785, 251.613135], [14.991440, 15.406085, 16.179869, 17.484625, 21.074162], [13.497775, 13.526815, 13.699001, 16.899685, 120.307322], [12.045955, 12.772007, 13.820648, 14.119405, 23.329649], [37.424823, 40.857777, 41.324785, 41.913201, 169.408552]]
### 4
mean: [4.828723, -2.325592, 1.879923, -1.378996, -2.891175, 0.975638, 1.418326, 3.758028]
std: [5.374961, 1.623256, 2.466137, 1.060765, 1.786335, 1.749393, 1.918415, 3.201059]
pca: [[0.717236, -0.003291, 0.398852, 0.009954, 0.408537, -0.328299, 0.068245, 0.216885, 0.000000, 0.000000], [-0.210833, 0.223521, -0.015126, 0.622055, -0.228644, -0.522055, -0.185842, 0.398811, 0.000000, 0.000000], [0.325959, 0.196118, -0.397802, 0.229866, -0.231168, -0.193941, 0.621976, -0.407796, 0.000000, 0.000000], [-0.030054, 0.632921, -0.186488, 0.217021, 0.576451, 0.194628, -0.279650, -0.261251, 0.000000, 0.000000], [-0.227160, 0.322398, 0.427621, 0.133992, 0.029049, 0.408591, 0.601265, 0.338134, 0.000000, 0.000000], [0.221821, 0.319231, 0.531753, 0.032876, -0.548541, 0.123259, -0.310485, -0.390582, 0.000000, 0.000000], [0.231984, 0.491262, -0.345943, -0.521233, -0.274839, 0.022887, -0.085612, 0.479683, 0.000000, 0.000000], [0.423493, -0.252566, -0.249733, 0.471480, -0.133443, 0.601267, -0.174636, 0.249754, 0.000000, 0.000000]]
fourier: [[89.698194, 92.399698, 92.957176, 97.468754, 434.585064], [23.943570, 25.620028, 29.986801, 29.999087, 209.303276], [41.844937, 42.242694, 43.603316, 45.523118, 169.193058], [15.693460, 17.721788, 20.323473, 21.125927, 124.109611], [25.881318, 26.432842, 33.579014, 34.693564, 260.205766], [28.958603, 30.375029, 31.446427, 33.820101, 87.807463], [31.376577, 32.730322, 34.119579, 36.302691, 127.649369], [50.376435, 50.721784, 58.695680, 58.814940, 338.222492]]
### 6
mean: [0.383914, 2.373418, 6.362345, 5.891967, -1.856935, 4.541368, 3.167265, -2.901560]
std: [0.732072, 2.845358, 6.679827, 6.182148, 1.480763, 5.185559, 3.029571, 2.941728]
pca: [[-0.054626, -0.601297, -0.173568, 0.570104, -0.335808, 0.384736, 0.006161, 0.139593, 0.000000, 0.000000], [0.242103, -0.036543, 0.578017, -0.106930, -0.283415, 0.205335, 0.661890, -0.184196, 0.000000, 0.000000], [0.568525, 0.120489, -0.214596, -0.356421, -0.057651, 0.636477, -0.279772, 0.049747, 0.000000, 0.000000], [0.526177, -0.110959, -0.130944, -0.043701, -0.268995, -0.534837, 0.116796, 0.565437, 0.000000, 0.000000], [-0.121171, 0.702349, 0.072626, 0.426614, -0.069885, 0.245637, 0.114863, 0.475746, 0.000000, 0.000000], [0.441343, -0.091145, 0.006885, 0.403566, 0.768092, 0.013844, 0.200949, -0.058809, 0.000000, 0.000000], [0.257770, 0.036315, 0.610601, 0.300832, -0.149354, -0.144673, -0.636211, -0.144573, 0.000000, 0.000000], [-0.249816, -0.327654, 0.440928, -0.315018, 0.337744, 0.192877, -0.107756, 0.611308, 0.000000, 0.000000]]
fourier: [[12.503813, 12.599096, 12.955578, 13.268477, 34.552227], [47.624842, 48.394911, 48.446122, 51.847244, 213.607647], [113.079367, 113.161528, 114.355887, 122.136335, 572.611091], [103.934262, 105.335043, 105.747741, 113.486055, 530.277037], [22.116333, 23.937295, 25.952543, 26.536861, 167.124194], [86.596113, 88.796355, 88.899302, 95.736965, 408.723190], [50.818995, 50.988102, 52.134505, 55.727524, 285.053812], [49.342506, 49.595779, 51.394759, 54.369396, 261.140376]]
### 8
mean: [-1.270287, -1.555184, 2.968815, -0.147601, -2.346464, 7.734075, 0.183257, -1.814348]
std: [1.519452, 1.639316, 3.376114, 1.351228, 2.071455, 8.779844, 1.024713, 1.843610]
pca: [[-0.148848, 0.215876, 0.381766, -0.368495, 0.520100, -0.194890, 0.253020, -0.526500, 0.000000, 0.000000], [-0.160721, -0.105564, 0.340489, 0.566530, 0.292847, 0.262114, 0.530797, 0.299879, 0.000000, 0.000000], [0.331084, 0.208398, 0.203129, -0.098307, 0.444723, -0.337290, -0.313560, 0.621422, 0.000000, 0.000000], [-0.131667, 0.478031, -0.340355, 0.611544, 0.268652, -0.103236, -0.313385, -0.288585, 0.000000, 0.000000], [-0.202565, -0.504853, -0.339014, -0.165717, 0.578072, 0.383543, -0.283280, 0.013368, 0.000000, 0.000000], [0.861187, 0.023633, -0.028759, 0.078319, 0.127586, 0.383940, 0.097715, -0.278572, 0.000000, 0.000000], [-0.098976, 0.557067, -0.463792, -0.346443, 0.057637, 0.316070, 0.395046, 0.292354, 0.000000, 0.000000], [-0.180525, 0.323345, 0.500358, -0.077370, -0.141483, 0.611945, -0.460271, 0.013103, 0.000000, 0.000000]]
fourier: [[25.159532, 26.199785, 26.586459, 27.116007, 114.325797], [27.454038, 27.665026, 27.849075, 30.127251, 139.966562], [57.007195, 57.056363, 57.286022, 62.046330, 267.193354], [21.924438, 22.662030, 22.869884, 23.129251, 24.550316], [34.069276, 34.515630, 36.340535, 38.968791, 211.181778], [147.057088, 149.468331, 149.940334, 160.155519, 696.066789], [16.589473, 16.918141, 17.432869, 18.128293, 18.843042], [30.302061, 31.874804, 32.347846, 32.577464, 163.291338]]
### 10
mean: [-3.519714]
std: [5.074498]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[83.151590, 86.103459, 88.549995, 89.662901, 316.774242]]
## 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
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.679063, 0.14913, 0.25581, -0.080899, 0.127653], [0.606918, 0.212588, 0.544471, 0.121294, -0.120731], [0.351608, -0.204281, -0.333904, 0.231452, -0.315667], [-0.822182, 0.240063, -0.096536, -0.447191, 0.307145], [0.330058, 0.373284, 0.575593, 0.045304, 0.320783], [-0.816328, 0.24903, -0.010091, 0.006051, 0.27068], [0.019274, 0.431933, 0.148375, 0.401504, 0.151345], [0.934221, 0.37961, -0.457394, 0.374983, -0.10528]], "network.0.bias": [0.384311, 0.13401, 0.082641, 0.737846, -0.602142, 0.635913, -0.687945, -0.049444], "network.2.weight": [[0.319609, -0.024275, -0.169139, 0.118617, 0.188697, 0.014698, 0.312605, -0.316851], [-0.080599, 0.374722, 0.348995, -0.346248, 0.572389, -0.236878, 0.184444, 0.774348], [-0.016536, 0.450722, 0.316174, -0.156413, 0.617768, -0.060841, 0.526972, -0.196664], [-0.194815, 0.446327, 0.360811, -0.195726, 0.442469, -0.273986, 0.491977, 0.206484], [0.191688, -0.312486, -0.342197, 0.30291, 0.240604, 0.34991, -0.264794, -0.071046], [0.16317, 0.253157, -0.216024, 0.288936, 0.090765, 0.322688, 0.142079, -0.33389], [0.131876, 0.139585, -0.371347, 0.085105, -0.142121, 0.292378, 0.090097, -0.250786], [-0.001126, 0.13014, 0.327456, -0.303376, 0.525246, -0.305087, 0.212745, 0.419456]], "network.2.bias": [0.359068, -0.196026, -0.457504, -0.087236, 0.282834, 0.391634, 0.220224, -0.383618], "network.4.weight": [[-0.02522, 0.618247, 0.291622, 0.380845, -0.373329, -0.147667, -0.118848, 0.736426], [-0.230338, -0.288258, 0.089224, -0.243671, 0.27443, -0.324127, -0.244234, -0.079736], [-0.288473, 0.537323, 0.149827, 0.081749, 0.350039, -0.233523, -0.184418, 0.074068], [-0.448536, 0.019478, -0.338359, -0.190537, 0.267651, -0.301126, -0.521471, 0.379408], [-0.167465, -0.28076, -0.121165, -0.398421, -0.203283, -0.102488, -0.421048, 0.162196], [-0.251673, 0.324297, 0.148593, -0.10584, -0.264274, -0.240623, -0.522126, 0.154527], [-0.51138, 0.630647, -0.238798, 0.140482, 0.236792, -0.16698, -0.175843, -0.117867], [0.14521, 0.424503, 0.258886, 0.192469, 0.115036, 0.194448, -0.230601, 0.338673]], "network.4.bias": [-0.173112, -0.046651, -0.187935, 0.186994, -0.231746, 0.38479, 0.413811, 0.065281], "network.6.weight": [[-0.184856, 0.201371, 0.097523, -0.168192, -0.33331, -0.566379, -0.056755, 0.336291], [0.417094, -0.211921, 0.288739, 0.290586, -0.094733, -0.094752, 0.179121, -0.063512], [0.448614, -0.001682, 0.606695, 0.223818, -0.095932, 0.654018, 0.39882, 0.381679], [0.405603, 0.13886, 0.608954, 0.570198, -0.169495, 0.34435, 0.377312, 0.454305], [-0.03208, 0.002874, -0.336223, -0.102524, -0.310384, -0.032924, 0.370618, -0.336654], [0.403247, 0.040036, 0.261372, 0.254086, 0.331342, 0.120708, 0.55621, 0.413518], [0.444259, -0.100678, 0.198821, 0.411683, -0.152739, -0.242882, 0.399841, -0.033605], [-0.076035, -0.274574, -0.207263, -0.216973, -0.074758, -0.294725, -0.456385, -0.254204]], "network.6.bias": [0.605392, -0.176579, 0.139891, 0.002704, -0.283922, -0.496689, 0.393836, -0.129981], "network.8.weight": [[0.344715, 0.171115, 0.112146, -0.286296, -0.268725, 0.006748, -0.299245, 0.060587], [0.035894, -0.136907, 0.225761, -0.18617, 0.082648, -0.109743, -0.342574, -0.263778], [0.097522, 0.233316, 0.300854, -0.028242, 0.299734, 0.150166, 0.047839, 0.158572], [0.646433, -0.46268, 0.216746, -0.090369, 0.023868, -0.308574, 0.279825, -0.520324], [-0.285911, 0.127631, 0.075103, -0.349823, -0.117909, -0.307006, 0.240293, 0.17536], [-0.399976, 0.229464, 0.365566, 0.242737, 0.294455, 0.547251, 0.416459, 0.131862], [0.630991, -0.262476, -0.10571, -0.08629, 0.171858, -0.007881, 0.395774, 0.123838], [0.357158, -0.163825, -0.08933, -0.099411, -0.055922, 0.284178, -0.502426, -0.101406]], "network.8.bias": [0.012366, 0.005624, -0.239494, 0.294257, -0.263195, -0.185249, 0.428641, -0.177473], "network.10.weight": [[0.287531, -0.199709, -0.385431, 0.516546, -0.14028, -0.38635, 0.552014, -0.006515]], "network.10.bias": [0.087741]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6796442270278931, "train_acc": 0.585, "val_loss": 0.728272020816803, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6589840948581696, "train_acc": 0.585, "val_loss": 0.7252045273780823, "val_acc": 0.42}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6291862428188324, "train_acc": 0.585, "val_loss": 0.7300646305084229, "val_acc": 0.42}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6020077168941498, "train_acc": 0.585, "val_loss": 0.6505759954452515, "val_acc": 0.42}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5754261016845703, "train_acc": 0.52, "val_loss": 0.5646540522575378, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.48849697411060333, "train_acc": 0.8, "val_loss": 0.5251305103302002, "val_acc": 0.64}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.4368470311164856, "train_acc": 0.78, "val_loss": 0.3853497803211212, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.31620265543460846, "train_acc": 0.88, "val_loss": 0.2974097430706024, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.25714050233364105, "train_acc": 0.89, "val_loss": 0.23529072105884552, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.18396823853254318, "train_acc": 0.945, "val_loss": 0.47082996368408203, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.15930090844631195, "train_acc": 0.95, "val_loss": 0.26782020926475525, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.2104603797197342, "train_acc": 0.915, "val_loss": 0.7178910970687866, "val_acc": 0.82}], "summary": {"total_epochs": 12, "degraded_epochs": 4, "improved_epochs": 8, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.728272020816803, "final_val_loss": 0.6505759954452515, "initial_val_acc": 0.42, "final_val_acc": 0.42, "best_val_acc": 0.42}, "improved_stage": {"initial_val_loss": 0.5646540522575378, "final_val_loss": 0.7178910970687866, "initial_val_acc": 0.76, "final_val_acc": 0.82, "best_val_acc": 0.94, "best_epoch": 7}, "improvement": 0.52, "first_improvement_epoch": 3}}
|
9,406
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.6, "improved_accuracy": 0.78, "improvement": 0.18000000000000005, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9837, "learning_rate": 0.02273190134869609, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "first_last_match", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["first_last_match"], "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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.12.weight": [
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}
## Activation Signature
### 0
mean: [0.023497, 1.134037, -0.120985, 1.265942, 0.121326, 0.633136, 0.628038, 0.646714]
std: [1.517690, 1.624135, 1.562622, 1.288418, 1.049220, 1.806310, 0.886543, 1.029674]
pca: [[-0.172149, 0.589456, -0.148538, -0.240149, 0.229166, 0.170914, 0.670172, 0.110961, 0.000000, 0.000000], [-0.479139, 0.299862, 0.496078, -0.349952, -0.325598, 0.254400, -0.324412, -0.189662, 0.000000, 0.000000], [-0.264277, 0.516707, -0.164239, 0.730831, -0.038332, -0.097833, -0.278172, 0.116892, 0.000000, 0.000000], [-0.465722, -0.164707, 0.115034, -0.044073, 0.786655, -0.267718, -0.136289, -0.178116, 0.000000, 0.000000], [-0.239641, -0.345163, 0.059453, 0.189550, 0.145483, 0.693389, 0.008636, 0.530982, 0.000000, 0.000000], [0.524200, 0.269161, 0.697316, 0.114402, 0.309479, -0.020059, -0.046126, 0.234782, 0.000000, 0.000000], [-0.303016, -0.126917, 0.193997, -0.102643, -0.266167, -0.586202, 0.176015, 0.631224, 0.000000, 0.000000], [-0.173262, -0.246611, 0.405237, 0.473554, -0.182717, 0.000985, 0.562573, -0.413301, 0.000000, 0.000000]]
fourier: [[24.351812, 26.010647, 26.293630, 29.312782, 30.151198], [25.752173, 28.016689, 29.560465, 30.882004, 102.063363], [20.815744, 21.193086, 22.940517, 31.355438, 31.599642], [18.720203, 22.122327, 26.778113, 28.376546, 113.934769], [13.819085, 14.629258, 16.542711, 18.416220, 20.838964], [28.623342, 28.714611, 28.736836, 33.087649, 56.982275], [13.446475, 14.026484, 16.801331, 21.273143, 56.523415], [17.386928, 17.819996, 18.286886, 19.774342, 58.204219]]
### 2
mean: [2.811132, 0.448106, 1.638509, 1.545573, -0.070501, 0.370853, -1.261879, 1.679088]
std: [1.839725, 1.361257, 2.187249, 2.391012, 0.687514, 0.489290, 1.099206, 1.136275]
pca: [[0.405399, 0.664342, -0.330455, -0.127044, 0.327728, -0.070134, 0.160923, -0.361580, 0.000000, 0.000000], [0.267126, 0.470881, 0.711653, 0.207029, -0.078847, 0.255097, -0.098046, 0.276946, 0.000000, 0.000000], [0.524732, -0.290498, -0.040440, 0.652667, -0.269777, -0.153903, 0.233110, -0.248700, 0.000000, 0.000000], [0.575814, -0.291815, 0.005809, -0.379355, 0.241691, -0.257810, 0.101255, 0.551549, 0.000000, 0.000000], [-0.122872, 0.274665, -0.385430, 0.469741, 0.054084, -0.356251, -0.416283, 0.486946, 0.000000, 0.000000], [-0.071181, 0.218747, -0.340604, -0.053357, -0.493709, 0.294342, 0.577929, 0.404768, 0.000000, 0.000000], [-0.262892, -0.091349, 0.088122, 0.372920, 0.692696, 0.139372, 0.503694, 0.150827, 0.000000, 0.000000], [0.260987, -0.189048, -0.332185, 0.092423, 0.169358, 0.779024, -0.372688, 0.052920, 0.000000, 0.000000]]
fourier: [[29.238279, 35.399966, 36.472666, 37.285698, 253.001883], [22.276463, 24.426316, 26.024096, 28.925645, 40.329550], [38.946161, 42.001290, 44.435698, 49.882594, 147.465812], [43.166585, 45.273331, 48.576475, 54.087759, 139.101578], [9.750726, 9.966878, 10.202412, 13.877354, 13.947112], [7.598078, 8.292936, 8.459450, 10.042422, 33.376739], [19.809592, 20.491506, 21.259537, 23.741626, 113.569142], [19.859473, 20.214657, 24.893208, 25.683337, 151.117926]]
### 4
mean: [-0.511428, 0.331608, -0.641913, 2.487398, -0.840090, 4.725425, 1.354012, 1.076439]
std: [0.350215, 0.420347, 0.399134, 2.931324, 0.582777, 4.275139, 2.246157, 0.953499]
pca: [[-0.050532, 0.048711, -0.337963, -0.140360, -0.521479, 0.642377, 0.053410, -0.416788, 0.000000, 0.000000], [-0.062668, 0.033353, -0.373168, 0.429780, -0.500199, -0.131136, -0.312699, 0.553009, 0.000000, 0.000000], [-0.059479, -0.097577, 0.326841, 0.622223, -0.327469, -0.221921, 0.461053, -0.351994, 0.000000, 0.000000], [0.509551, -0.101262, -0.369879, 0.195111, 0.130096, -0.304947, -0.411971, -0.524964, 0.000000, 0.000000], [-0.094573, -0.009942, -0.357246, 0.531307, 0.583806, 0.433783, 0.211209, 0.086247, 0.000000, 0.000000], [0.744299, 0.334493, -0.087851, -0.079999, -0.091776, 0.027722, 0.489270, 0.267283, 0.000000, 0.000000], [0.386781, -0.202764, 0.577884, 0.231582, -0.031234, 0.488586, -0.408644, 0.122576, 0.000000, 0.000000], [-0.133471, 0.907547, 0.183301, 0.167454, 0.058923, 0.016150, -0.257085, -0.164554, 0.000000, 0.000000]]
fourier: [[5.821033, 5.960671, 6.123562, 6.518800, 46.028498], [7.299507, 7.316543, 7.691070, 7.801742, 29.844714], [5.982391, 6.565799, 8.049983, 9.516100, 57.772180], [54.617275, 55.907634, 59.060940, 66.037971, 223.865844], [9.482908, 10.837104, 11.018968, 12.148304, 75.608089], [81.451189, 83.203144, 83.886961, 96.028569, 425.288282], [38.877059, 41.893996, 44.154160, 49.766613, 121.861088], [13.693332, 14.995140, 18.952011, 20.476853, 96.879556]]
### 6
mean: [1.458404, -2.112485, 0.119086, 3.293262, 0.714826, 4.111788, 2.371979, -1.231970]
std: [2.403728, 1.490333, 0.465603, 4.859838, 1.116123, 3.981709, 3.446670, 1.551595]
pca: [[0.303096, -0.118084, -0.002859, 0.096650, -0.302904, 0.826607, -0.032030, 0.329823, 0.000000, 0.000000], [-0.182660, -0.643832, -0.152767, 0.041293, 0.249268, 0.196854, 0.588110, -0.283396, 0.000000, 0.000000], [-0.054284, 0.047559, 0.654321, -0.323811, 0.195454, -0.048094, 0.405414, 0.506878, 0.000000, 0.000000], [0.612852, -0.125262, -0.337548, -0.047682, -0.304726, -0.439818, 0.371261, 0.261489, 0.000000, 0.000000], [-0.133073, 0.666955, -0.088302, 0.392968, -0.099141, 0.132685, 0.576909, -0.122408, 0.000000, 0.000000], [0.501811, 0.296726, -0.076764, -0.505640, 0.441622, 0.233730, 0.046230, -0.383116, 0.000000, 0.000000], [0.434550, -0.096108, 0.299408, 0.686708, 0.470559, -0.086163, -0.108811, 0.005152, 0.000000, 0.000000], [-0.194620, 0.107113, -0.575538, 0.012779, 0.537373, 0.050559, -0.064061, 0.569046, 0.000000, 0.000000]]
fourier: [[45.053211, 46.368593, 46.875082, 54.133048, 131.256344], [27.802183, 28.140364, 30.329229, 33.103393, 190.123682], [7.582672, 8.627369, 9.472825, 9.532384, 10.717781], [91.358731, 93.234274, 94.872101, 109.027508, 296.393533], [19.386495, 20.341691, 22.238041, 24.121865, 64.334302], [75.083421, 76.948053, 78.106573, 89.127991, 370.060907], [64.627362, 67.249012, 67.296802, 78.171998, 213.478088], [28.600816, 29.526412, 31.309316, 35.183187, 110.877324]]
### 8
mean: [5.365865, 2.743276, -2.701432, 4.632993, 3.465940, 2.044733, -1.547923, -0.798355]
std: [5.364762, 4.391668, 3.088613, 7.062285, 4.008790, 3.339334, 1.559019, 0.246101]
pca: [[0.457905, 0.595131, -0.214731, 0.428039, -0.016985, 0.028082, 0.453140, -0.020052, 0.000000, 0.000000], [0.375040, 0.049003, 0.710180, -0.303738, 0.200760, -0.244133, 0.217640, 0.336242, 0.000000, 0.000000], [-0.263749, -0.205290, 0.027770, -0.245133, -0.281385, 0.436572, 0.745311, 0.046578, 0.000000, 0.000000], [0.603141, -0.368235, 0.165948, 0.046072, -0.497346, 0.166971, -0.138329, -0.420232, 0.000000, 0.000000], [0.342405, -0.032512, -0.261498, -0.171663, 0.150734, 0.616049, -0.273078, 0.554115, 0.000000, 0.000000], [0.284944, -0.412233, -0.391367, -0.203838, 0.604514, -0.171723, 0.281331, -0.282986, 0.000000, 0.000000], [-0.133030, -0.098388, 0.442425, 0.495077, 0.481390, 0.489507, -0.017495, -0.245200, 0.000000, 0.000000], [0.013922, -0.533858, -0.062740, 0.588383, -0.113941, -0.269284, 0.136556, 0.510419, 0.000000, 0.000000]]
fourier: [[101.303462, 104.466834, 104.755602, 118.811763, 482.927827], [82.972828, 84.742676, 86.648025, 96.970034, 246.894782], [58.329534, 60.022980, 60.394080, 68.450485, 243.128874], [133.229745, 136.379148, 139.378450, 157.152151, 416.969328], [75.538795, 77.968799, 78.455087, 89.203690, 311.934657], [62.836431, 64.359630, 65.542992, 74.808637, 184.025922], [29.451428, 30.267709, 30.726860, 35.034959, 139.313053], [3.919326, 4.339631, 4.603490, 4.733521, 71.851956]]
### 10
mean: [7.591551, -0.351350, 1.022345, -1.123554, 0.962173, 6.024940, -1.705685, -4.074511]
std: [9.853813, 0.063825, 0.198038, 1.293982, 0.171457, 8.036004, 2.272167, 5.087044]
pca: [[0.706706, 0.189923, -0.450709, -0.128685, 0.214435, -0.035454, -0.068820, 0.439115, 0.000000, 0.000000], [-0.003431, -0.175213, 0.181139, 0.770571, -0.082973, -0.280522, -0.030307, 0.506164, 0.000000, 0.000000], [-0.010002, 0.633696, 0.275541, 0.011795, 0.130365, -0.445591, -0.531781, -0.154694, 0.000000, 0.000000], [-0.092743, 0.159023, -0.536391, 0.571540, 0.287738, 0.262224, -0.096078, -0.436980, 0.000000, 0.000000], [-0.007976, 0.587666, 0.268505, 0.122530, -0.219629, 0.652360, 0.167257, 0.256302, 0.000000, 0.000000], [0.576332, -0.164708, 0.550368, 0.169382, 0.350154, 0.116443, 0.179248, -0.375263, 0.000000, 0.000000], [-0.162867, 0.346975, -0.063813, 0.002604, 0.269209, -0.401718, 0.784292, 0.006331, 0.000000, 0.000000], [-0.364837, -0.116187, 0.146082, -0.138395, 0.777192, 0.228534, -0.164636, 0.359918, 0.000000, 0.000000]]
fourier: [[185.813097, 191.114934, 194.970509, 215.586503, 683.239570], [0.989112, 0.996373, 1.016636, 1.546852, 31.621463], [3.215229, 3.293388, 3.721449, 4.294076, 92.011017], [24.386494, 25.024110, 25.803323, 27.736924, 101.119884], [2.788926, 2.862891, 3.197142, 3.690029, 86.595531], [151.514088, 155.791677, 159.223805, 174.840794, 542.244551], [42.751473, 43.811156, 45.524246, 48.624719, 153.511626], [95.920761, 98.700148, 100.566377, 111.314774, 366.705962]]
### 12
mean: [-3.575154]
std: [5.945463]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[111.995588, 114.889730, 118.598321, 128.473634, 321.763927]]
## 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.
|
first_last_match
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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0.033151,
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0.166291
]
],
"network.8.bias": [
0.453528,
-0.196466,
-0.098204,
-0.014621,
0.35147,
-0.126794,
-0.036135,
-0.211903
],
"network.10.weight": [
[
0.202006,
0.240789,
-0.394837,
0.600221,
0.56236,
0.466904,
0.083669,
-0.128561
],
[
-0.062204,
0.224073,
0.140415,
0.071965,
-0.047994,
-0.302144,
-0.072917,
-0.046007
],
[
0.333929,
-0.225238,
-0.172555,
-0.145914,
0.265432,
-0.341681,
-0.366157,
0.105545
],
[
-0.10907,
-0.092357,
0.279735,
-0.109544,
0.234017,
-0.166613,
0.289693,
0.097451
],
[
0.308237,
-0.17271,
-0.030957,
-0.209076,
0.267009,
-0.224067,
0.283911,
-0.083742
],
[
0.232776,
0.506833,
0.028341,
0.549042,
0.106542,
0.171833,
-0.075295,
-0.183752
],
[
0.083056,
-0.248643,
-0.021929,
-0.19932,
0.110792,
-0.248378,
-0.121738,
-0.276063
],
[
-0.124742,
-0.174374,
-0.333366,
-0.265505,
-0.309828,
-0.209973,
0.166589,
0.140678
]
],
"network.10.bias": [
-0.277512,
-0.191644,
0.522158,
-0.130777,
0.479635,
-0.293899,
-0.200668,
0.021837
],
"network.12.weight": [
[
-0.366477,
-0.035968,
0.421304,
-0.124159,
0.417851,
-0.277307,
-0.262871,
-0.329331
]
],
"network.12.bias": [
0.045367
]
}
## Activation Signature
### 0
mean: [0.023497, 1.134037, -0.120985, 1.265942, 0.121326, 0.633136, 0.628038, 0.646714]
std: [1.517690, 1.624135, 1.562622, 1.288418, 1.049220, 1.806310, 0.886543, 1.029674]
pca: [[-0.172149, 0.589456, -0.148538, -0.240149, 0.229166, 0.170914, 0.670172, 0.110961, 0.000000, 0.000000], [-0.479139, 0.299862, 0.496078, -0.349952, -0.325598, 0.254400, -0.324412, -0.189662, 0.000000, 0.000000], [-0.264277, 0.516707, -0.164239, 0.730831, -0.038332, -0.097833, -0.278172, 0.116892, 0.000000, 0.000000], [-0.465722, -0.164707, 0.115034, -0.044073, 0.786655, -0.267718, -0.136289, -0.178116, 0.000000, 0.000000], [-0.239641, -0.345163, 0.059453, 0.189550, 0.145483, 0.693389, 0.008636, 0.530982, 0.000000, 0.000000], [0.524200, 0.269161, 0.697316, 0.114402, 0.309479, -0.020059, -0.046126, 0.234782, 0.000000, 0.000000], [-0.303016, -0.126917, 0.193997, -0.102643, -0.266167, -0.586202, 0.176015, 0.631224, 0.000000, 0.000000], [-0.173262, -0.246611, 0.405237, 0.473554, -0.182717, 0.000985, 0.562573, -0.413301, 0.000000, 0.000000]]
fourier: [[24.351812, 26.010647, 26.293630, 29.312782, 30.151198], [25.752173, 28.016689, 29.560465, 30.882004, 102.063363], [20.815744, 21.193086, 22.940517, 31.355438, 31.599642], [18.720203, 22.122327, 26.778113, 28.376546, 113.934769], [13.819085, 14.629258, 16.542711, 18.416220, 20.838964], [28.623342, 28.714611, 28.736836, 33.087649, 56.982275], [13.446475, 14.026484, 16.801331, 21.273143, 56.523415], [17.386928, 17.819996, 18.286886, 19.774342, 58.204219]]
### 2
mean: [2.811132, 0.448106, 1.638509, 1.545573, -0.070501, 0.370853, -1.261879, 1.679088]
std: [1.839725, 1.361257, 2.187249, 2.391012, 0.687514, 0.489290, 1.099206, 1.136275]
pca: [[0.405399, 0.664342, -0.330455, -0.127044, 0.327728, -0.070134, 0.160923, -0.361580, 0.000000, 0.000000], [0.267126, 0.470881, 0.711653, 0.207029, -0.078847, 0.255097, -0.098046, 0.276946, 0.000000, 0.000000], [0.524732, -0.290498, -0.040440, 0.652667, -0.269777, -0.153903, 0.233110, -0.248700, 0.000000, 0.000000], [0.575814, -0.291815, 0.005809, -0.379355, 0.241691, -0.257810, 0.101255, 0.551549, 0.000000, 0.000000], [-0.122872, 0.274665, -0.385430, 0.469741, 0.054084, -0.356251, -0.416283, 0.486946, 0.000000, 0.000000], [-0.071181, 0.218747, -0.340604, -0.053357, -0.493709, 0.294342, 0.577929, 0.404768, 0.000000, 0.000000], [-0.262892, -0.091349, 0.088122, 0.372920, 0.692696, 0.139372, 0.503694, 0.150827, 0.000000, 0.000000], [0.260987, -0.189048, -0.332185, 0.092423, 0.169358, 0.779024, -0.372688, 0.052920, 0.000000, 0.000000]]
fourier: [[29.238279, 35.399966, 36.472666, 37.285698, 253.001883], [22.276463, 24.426316, 26.024096, 28.925645, 40.329550], [38.946161, 42.001290, 44.435698, 49.882594, 147.465812], [43.166585, 45.273331, 48.576475, 54.087759, 139.101578], [9.750726, 9.966878, 10.202412, 13.877354, 13.947112], [7.598078, 8.292936, 8.459450, 10.042422, 33.376739], [19.809592, 20.491506, 21.259537, 23.741626, 113.569142], [19.859473, 20.214657, 24.893208, 25.683337, 151.117926]]
### 4
mean: [-0.511428, 0.331608, -0.641913, 2.487398, -0.840090, 4.725425, 1.354012, 1.076439]
std: [0.350215, 0.420347, 0.399134, 2.931324, 0.582777, 4.275139, 2.246157, 0.953499]
pca: [[-0.050532, 0.048711, -0.337963, -0.140360, -0.521479, 0.642377, 0.053410, -0.416788, 0.000000, 0.000000], [-0.062668, 0.033353, -0.373168, 0.429780, -0.500199, -0.131136, -0.312699, 0.553009, 0.000000, 0.000000], [-0.059479, -0.097577, 0.326841, 0.622223, -0.327469, -0.221921, 0.461053, -0.351994, 0.000000, 0.000000], [0.509551, -0.101262, -0.369879, 0.195111, 0.130096, -0.304947, -0.411971, -0.524964, 0.000000, 0.000000], [-0.094573, -0.009942, -0.357246, 0.531307, 0.583806, 0.433783, 0.211209, 0.086247, 0.000000, 0.000000], [0.744299, 0.334493, -0.087851, -0.079999, -0.091776, 0.027722, 0.489270, 0.267283, 0.000000, 0.000000], [0.386781, -0.202764, 0.577884, 0.231582, -0.031234, 0.488586, -0.408644, 0.122576, 0.000000, 0.000000], [-0.133471, 0.907547, 0.183301, 0.167454, 0.058923, 0.016150, -0.257085, -0.164554, 0.000000, 0.000000]]
fourier: [[5.821033, 5.960671, 6.123562, 6.518800, 46.028498], [7.299507, 7.316543, 7.691070, 7.801742, 29.844714], [5.982391, 6.565799, 8.049983, 9.516100, 57.772180], [54.617275, 55.907634, 59.060940, 66.037971, 223.865844], [9.482908, 10.837104, 11.018968, 12.148304, 75.608089], [81.451189, 83.203144, 83.886961, 96.028569, 425.288282], [38.877059, 41.893996, 44.154160, 49.766613, 121.861088], [13.693332, 14.995140, 18.952011, 20.476853, 96.879556]]
### 6
mean: [1.458404, -2.112485, 0.119086, 3.293262, 0.714826, 4.111788, 2.371979, -1.231970]
std: [2.403728, 1.490333, 0.465603, 4.859838, 1.116123, 3.981709, 3.446670, 1.551595]
pca: [[0.303096, -0.118084, -0.002859, 0.096650, -0.302904, 0.826607, -0.032030, 0.329823, 0.000000, 0.000000], [-0.182660, -0.643832, -0.152767, 0.041293, 0.249268, 0.196854, 0.588110, -0.283396, 0.000000, 0.000000], [-0.054284, 0.047559, 0.654321, -0.323811, 0.195454, -0.048094, 0.405414, 0.506878, 0.000000, 0.000000], [0.612852, -0.125262, -0.337548, -0.047682, -0.304726, -0.439818, 0.371261, 0.261489, 0.000000, 0.000000], [-0.133073, 0.666955, -0.088302, 0.392968, -0.099141, 0.132685, 0.576909, -0.122408, 0.000000, 0.000000], [0.501811, 0.296726, -0.076764, -0.505640, 0.441622, 0.233730, 0.046230, -0.383116, 0.000000, 0.000000], [0.434550, -0.096108, 0.299408, 0.686708, 0.470559, -0.086163, -0.108811, 0.005152, 0.000000, 0.000000], [-0.194620, 0.107113, -0.575538, 0.012779, 0.537373, 0.050559, -0.064061, 0.569046, 0.000000, 0.000000]]
fourier: [[45.053211, 46.368593, 46.875082, 54.133048, 131.256344], [27.802183, 28.140364, 30.329229, 33.103393, 190.123682], [7.582672, 8.627369, 9.472825, 9.532384, 10.717781], [91.358731, 93.234274, 94.872101, 109.027508, 296.393533], [19.386495, 20.341691, 22.238041, 24.121865, 64.334302], [75.083421, 76.948053, 78.106573, 89.127991, 370.060907], [64.627362, 67.249012, 67.296802, 78.171998, 213.478088], [28.600816, 29.526412, 31.309316, 35.183187, 110.877324]]
### 8
mean: [5.365865, 2.743276, -2.701432, 4.632993, 3.465940, 2.044733, -1.547923, -0.798355]
std: [5.364762, 4.391668, 3.088613, 7.062285, 4.008790, 3.339334, 1.559019, 0.246101]
pca: [[0.457905, 0.595131, -0.214731, 0.428039, -0.016985, 0.028082, 0.453140, -0.020052, 0.000000, 0.000000], [0.375040, 0.049003, 0.710180, -0.303738, 0.200760, -0.244133, 0.217640, 0.336242, 0.000000, 0.000000], [-0.263749, -0.205290, 0.027770, -0.245133, -0.281385, 0.436572, 0.745311, 0.046578, 0.000000, 0.000000], [0.603141, -0.368235, 0.165948, 0.046072, -0.497346, 0.166971, -0.138329, -0.420232, 0.000000, 0.000000], [0.342405, -0.032512, -0.261498, -0.171663, 0.150734, 0.616049, -0.273078, 0.554115, 0.000000, 0.000000], [0.284944, -0.412233, -0.391367, -0.203838, 0.604514, -0.171723, 0.281331, -0.282986, 0.000000, 0.000000], [-0.133030, -0.098388, 0.442425, 0.495077, 0.481390, 0.489507, -0.017495, -0.245200, 0.000000, 0.000000], [0.013922, -0.533858, -0.062740, 0.588383, -0.113941, -0.269284, 0.136556, 0.510419, 0.000000, 0.000000]]
fourier: [[101.303462, 104.466834, 104.755602, 118.811763, 482.927827], [82.972828, 84.742676, 86.648025, 96.970034, 246.894782], [58.329534, 60.022980, 60.394080, 68.450485, 243.128874], [133.229745, 136.379148, 139.378450, 157.152151, 416.969328], [75.538795, 77.968799, 78.455087, 89.203690, 311.934657], [62.836431, 64.359630, 65.542992, 74.808637, 184.025922], [29.451428, 30.267709, 30.726860, 35.034959, 139.313053], [3.919326, 4.339631, 4.603490, 4.733521, 71.851956]]
### 10
mean: [7.591551, -0.351350, 1.022345, -1.123554, 0.962173, 6.024940, -1.705685, -4.074511]
std: [9.853813, 0.063825, 0.198038, 1.293982, 0.171457, 8.036004, 2.272167, 5.087044]
pca: [[0.706706, 0.189923, -0.450709, -0.128685, 0.214435, -0.035454, -0.068820, 0.439115, 0.000000, 0.000000], [-0.003431, -0.175213, 0.181139, 0.770571, -0.082973, -0.280522, -0.030307, 0.506164, 0.000000, 0.000000], [-0.010002, 0.633696, 0.275541, 0.011795, 0.130365, -0.445591, -0.531781, -0.154694, 0.000000, 0.000000], [-0.092743, 0.159023, -0.536391, 0.571540, 0.287738, 0.262224, -0.096078, -0.436980, 0.000000, 0.000000], [-0.007976, 0.587666, 0.268505, 0.122530, -0.219629, 0.652360, 0.167257, 0.256302, 0.000000, 0.000000], [0.576332, -0.164708, 0.550368, 0.169382, 0.350154, 0.116443, 0.179248, -0.375263, 0.000000, 0.000000], [-0.162867, 0.346975, -0.063813, 0.002604, 0.269209, -0.401718, 0.784292, 0.006331, 0.000000, 0.000000], [-0.364837, -0.116187, 0.146082, -0.138395, 0.777192, 0.228534, -0.164636, 0.359918, 0.000000, 0.000000]]
fourier: [[185.813097, 191.114934, 194.970509, 215.586503, 683.239570], [0.989112, 0.996373, 1.016636, 1.546852, 31.621463], [3.215229, 3.293388, 3.721449, 4.294076, 92.011017], [24.386494, 25.024110, 25.803323, 27.736924, 101.119884], [2.788926, 2.862891, 3.197142, 3.690029, 86.595531], [151.514088, 155.791677, 159.223805, 174.840794, 542.244551], [42.751473, 43.811156, 45.524246, 48.624719, 153.511626], [95.920761, 98.700148, 100.566377, 111.314774, 366.705962]]
### 12
mean: [-3.575154]
std: [5.945463]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[111.995588, 114.889730, 118.598321, 128.473634, 321.763927]]
## 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.
first_last_match
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.023497413843870163, "std": 1.5176903009414673, "pca": [-0.17214863002300262, 0.5894556045532227, -0.14853797852993011, -0.2401491105556488, 0.2291659265756607, 0.17091430723667145, 0.6701722741127014, 0.11096057295799255, 0.0, 0.0], "fourier": [24.351812146162146, 26.010647024128016, 26.293630060676808, 29.31278232036424, 30.15119776628366]}, "1": {"mean": 1.1340373754501343, "std": 1.6241352558135986, "pca": [-0.4791388213634491, 0.29986196756362915, 0.4960781931877136, -0.34995195269584656, -0.32559844851493835, 0.2544000744819641, -0.3244123160839081, -0.1896621733903885, 0.0, 0.0], "fourier": [25.752173307884107, 28.016689002700183, 29.56046501013371, 30.88200356237652, 102.06336297094822]}, "2": {"mean": -0.12098538875579834, "std": 1.5626219511032104, "pca": [-0.2642774283885956, 0.5167067646980286, -0.1642390787601471, 0.7308305501937866, -0.038332242518663406, -0.09783271700143814, -0.2781718373298645, 0.11689160764217377, 0.0, 0.0], "fourier": [20.81574444001372, 21.193085826145325, 22.940517238908097, 31.35543764775324, 31.599641645455858]}, "3": {"mean": 1.265941858291626, "std": 1.2884176969528198, "pca": [-0.46572190523147583, -0.16470715403556824, 0.11503426730632782, -0.044073209166526794, 0.7866552472114563, -0.2677178680896759, -0.13628868758678436, -0.17811626195907593, 0.0, 0.0], "fourier": [18.720203329860006, 22.12232672932827, 26.778113121343406, 28.376546052695936, 113.93476866185665]}, "4": {"mean": 0.12132559716701508, "std": 1.0492196083068848, "pca": [-0.23964053392410278, -0.3451631963253021, 0.059452787041664124, 0.18954998254776, 0.1454826146364212, 0.6933894157409668, 0.008636435493826866, 0.5309823751449585, 0.0, 0.0], "fourier": [13.819084743923717, 14.629258152477156, 16.542710845755835, 18.416220150723348, 20.83896410109711]}, "5": {"mean": 0.6331363916397095, "std": 1.8063100576400757, "pca": [0.524199903011322, 0.2691614031791687, 0.6973155736923218, 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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.729369, -0.052624, 0.004651, -0.089215, -0.358433], [0.511609, 0.341419, 0.016795, -0.171275, 0.377891], [0.566906, -0.207703, 0.249962, -0.346373, -0.188761], [0.20825, -0.15972, 0.006818, 0.06515, 0.609602], [-0.161654, -0.125488, -0.012803, 0.019536, 0.54242], [-0.384193, 0.643512, 0.42217, -0.026145, -0.608603], [0.066407, 0.070234, -0.065466, -0.048514, 0.475844], [-0.292877, 0.15089, 0.184686, -0.13524, 0.492142]], "network.0.bias": [-0.164599, -0.258631, 0.005453, 0.392037, -0.132974, -0.136571, 0.071328, 0.033478], "network.2.weight": [[0.315449, 0.44803, 0.416869, 0.439744, 0.201958, 0.520018, 0.418292, -0.151839], [0.418529, 0.447743, 0.408619, -0.127243, 0.301866, -0.148827, -0.034118, -0.301725], [0.645524, 0.240121, 0.388037, 0.050727, 0.409129, -0.367313, 0.620528, 0.576697], [0.528979, 0.425276, 0.213714, 0.49714, 0.51298, -0.268863, 0.483717, 0.028482], [-0.062237, -0.097744, -0.027709, -0.198076, -0.01246, 0.335936, -0.042238, 0.227385], [-0.258275, 0.009328, 0.039192, 0.235403, -0.38409, 0.277847, -0.232675, 0.184019], [0.01822, -0.491487, -0.143495, -0.351433, -0.010195, 0.045892, 0.195401, -0.139684], [0.020957, 0.084758, 0.346413, 0.357646, 0.320303, 0.008463, 0.182253, 0.127445]], "network.2.bias": [0.492585, -0.132329, 0.042137, -0.330972, -0.132276, 0.080105, -0.197448, 0.543884], "network.4.weight": [[0.030633, -0.249355, -0.065679, -0.032431, -0.268705, 0.101354, -0.133066, 0.083386], [-0.071808, -0.185341, 0.166614, -0.251245, -0.214474, 0.217327, 0.348835, 0.158972], [-0.01096, 0.185766, 0.111864, -0.340361, 0.103092, -0.141547, -0.214913, 0.001025], [0.055004, 0.260606, 0.702267, 0.37784, -0.170118, -0.093616, -0.073832, 0.22958], [-0.032876, -0.3003, 0.313742, -0.318588, 0.017174, -0.079043, -0.328499, -0.141745], [0.511085, 0.381047, 0.647127, 0.463365, -0.012717, -0.379761, 0.056519, 0.557994], [0.222333, 0.554278, 0.414421, 0.231694, -0.054477, -0.333513, -0.254456, -0.140479], [0.507141, -0.345906, -0.228235, -0.480294, 0.22688, 0.173068, 0.034224, 0.31355]], "network.4.bias": [-0.381964, 0.492475, -0.305208, -0.024431, -0.28121, 0.331189, -0.369818, 0.454309], "network.6.weight": [[-0.306278, -0.198783, -0.067874, 0.203074, 0.321513, 0.271663, 0.175108, -0.376982], [0.1152, -0.235083, -0.341297, -0.196233, 0.125879, -0.363903, 0.191546, -0.345764], [-0.166031, 0.273095, -0.034516, 0.331785, -0.239835, -0.16991, -0.269413, 0.09262], [0.041669, -0.297915, 0.156504, 0.374878, 0.016086, 0.525795, 0.513189, -0.598611], [-0.033463, 0.108657, -0.071365, -0.280049, 0.055195, 0.207066, -0.33802, 0.591093], [0.107994, 0.111223, -0.058035, 0.598809, -0.139309, 0.372283, 0.29212, -0.082816], [0.118903, -0.593438, 0.006868, 0.376392, 0.284817, 0.444675, -0.008528, -0.538266], [-0.024844, -0.000406, -0.345862, -0.34922, 0.050551, -0.133952, 0.121659, 0.31297]], "network.6.bias": [-0.081178, 0.300172, 0.282676, -0.091568, 0.223719, 0.467227, 0.21219, -0.271316], "network.8.weight": [[0.167338, -0.096938, -0.058102, 0.348314, 0.156953, 0.567872, 0.363133, 0.23707], [0.382765, -0.090984, -0.317343, 0.582088, -0.02707, -0.184712, 0.44388, -0.330343], [-0.203971, -0.463862, 0.137822, -0.259968, -0.014437, -0.276875, -0.090923, 0.030833], [0.5946, 0.194315, -0.396003, 0.615029, -0.586399, 0.261971, 0.416607, 0.102031], [0.140488, 0.071611, 0.225517, 0.307035, -0.252612, 0.298884, 0.288683, 0.160489], [-0.070106, 0.0663, 0.15951, 0.420153, -0.457055, 0.218124, 0.118469, -0.183585], [-0.102035, 0.016807, 0.085623, 0.145732, -0.046717, -0.282466, -0.269752, 0.298494], [-0.026501, 0.026764, -0.241534, 0.15158, -0.454443, 0.033151, -0.28555, 0.166291]], "network.8.bias": [0.453528, -0.196466, -0.098204, -0.014621, 0.35147, -0.126794, -0.036135, -0.211903], "network.10.weight": [[0.202006, 0.240789, -0.394837, 0.600221, 0.56236, 0.466904, 0.083669, -0.128561], [-0.062204, 0.224073, 0.140415, 0.071965, -0.047994, -0.302144, -0.072917, -0.046007], [0.333929, -0.225238, -0.172555, -0.145914, 0.265432, -0.341681, -0.366157, 0.105545], [-0.10907, -0.092357, 0.279735, -0.109544, 0.234017, -0.166613, 0.289693, 0.097451], [0.308237, -0.17271, -0.030957, -0.209076, 0.267009, -0.224067, 0.283911, -0.083742], [0.232776, 0.506833, 0.028341, 0.549042, 0.106542, 0.171833, -0.075295, -0.183752], [0.083056, -0.248643, -0.021929, -0.19932, 0.110792, -0.248378, -0.121738, -0.276063], [-0.124742, -0.174374, -0.333366, -0.265505, -0.309828, -0.209973, 0.166589, 0.140678]], "network.10.bias": [-0.277512, -0.191644, 0.522158, -0.130777, 0.479635, -0.293899, -0.200668, 0.021837], "network.12.weight": [[-0.366477, -0.035968, 0.421304, -0.124159, 0.417851, -0.277307, -0.262871, -0.329331]], "network.12.bias": [0.045367]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6882860064506531, "train_acc": 0.55, "val_loss": 0.6753233075141907, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.689659059047699, "train_acc": 0.55, "val_loss": 0.6737598180770874, "val_acc": 0.6}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6840692162513733, "train_acc": 0.55, "val_loss": 0.6656032800674438, "val_acc": 0.6}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6702562570571899, "train_acc": 0.55, "val_loss": 0.6446031928062439, "val_acc": 0.6}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6463773250579834, "train_acc": 0.55, "val_loss": 0.5897704362869263, "val_acc": 0.6}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.5895957350730896, "train_acc": 0.58, "val_loss": 0.5038838982582092, "val_acc": 0.66}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5060186088085175, "train_acc": 0.795, "val_loss": 0.4690988063812256, "val_acc": 0.66}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.45464496314525604, "train_acc": 0.84, "val_loss": 0.45229628682136536, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.40387290716171265, "train_acc": 0.87, "val_loss": 0.44150620698928833, "val_acc": 0.74}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.3688303977251053, "train_acc": 0.86, "val_loss": 0.42279288172721863, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.3225405514240265, "train_acc": 0.87, "val_loss": 0.4488477408885956, "val_acc": 0.78}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.31674396991729736, "train_acc": 0.88, "val_loss": 0.48751071095466614, "val_acc": 0.78}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.3074016124010086, "train_acc": 0.885, "val_loss": 0.5273152589797974, "val_acc": 0.78}], "summary": {"total_epochs": 13, "degraded_epochs": 5, "improved_epochs": 8, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.6753233075141907, "final_val_loss": 0.5897704362869263, "initial_val_acc": 0.6, "final_val_acc": 0.6, "best_val_acc": 0.6}, "improved_stage": {"initial_val_loss": 0.5038838982582092, "final_val_loss": 0.5273152589797974, "initial_val_acc": 0.66, "final_val_acc": 0.78, "best_val_acc": 0.78, "best_epoch": 9}, "improvement": 0.18000000000000005, "first_improvement_epoch": 4}}
|
9,407
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.52, "improved_accuracy": 0.86, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6979, "learning_rate": 0.046119217720643375, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "increasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["increasing_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: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.12.weight": [
[
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"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [1.340715, -0.157732, 2.780014, 2.826588, 1.016386, 2.110181, -0.210942]
std: [1.159199, 0.871719, 2.602123, 2.132367, 1.519460, 2.297377, 1.596380]
pca: [[0.194208, -0.415950, 0.104462, 0.645396, -0.241750, 0.548021, -0.055234, 0.000000, 0.000000, 0.000000], [-0.168982, -0.036278, 0.341241, 0.088864, 0.707936, 0.229404, 0.540358, 0.000000, 0.000000, 0.000000], [0.576520, -0.381883, -0.216708, -0.148160, -0.128548, -0.274515, 0.600827, 0.000000, 0.000000, 0.000000], [0.468735, -0.341139, 0.118792, -0.302743, 0.484789, 0.065806, -0.564620, 0.000000, 0.000000, 0.000000], [0.294537, 0.365988, 0.381855, -0.474775, -0.319693, 0.533443, 0.145981, 0.000000, 0.000000, 0.000000], [0.478290, 0.493447, 0.376877, 0.470261, 0.071480, -0.395000, -0.058591, 0.000000, 0.000000, 0.000000], [-0.257151, -0.431302, 0.723684, -0.124118, -0.285528, -0.356051, -0.020739, 0.000000, 0.000000, 0.000000]]
fourier: [[17.912675, 18.761814, 20.802022, 21.740698, 120.664340], [13.084465, 13.923943, 14.195901, 15.172250, 17.553729], [41.834424, 44.160408, 47.119749, 48.794031, 250.201220], [36.041838, 36.132416, 36.223332, 41.153095, 254.392941], [22.367455, 22.775801, 25.020038, 29.268645, 91.474752], [36.332116, 36.405404, 43.061957, 44.923812, 189.916303], [24.235728, 25.169493, 25.585470, 32.201098, 32.367370]]
### 2
mean: [2.708444, -2.068819, -3.425870, 3.323759, 1.333439, 4.302313, 3.474598]
std: [2.055045, 1.791792, 3.152508, 2.910219, 1.058974, 3.924841, 3.248403]
pca: [[0.282755, 0.275630, -0.127874, 0.049405, 0.630693, 0.117522, 0.643195, 0.000000, 0.000000, 0.000000], [-0.240476, 0.796148, 0.245383, 0.398842, 0.013076, -0.231466, -0.187840, 0.000000, 0.000000, 0.000000], [-0.434720, -0.132875, 0.384448, 0.263225, 0.031096, 0.745928, 0.137477, 0.000000, 0.000000, 0.000000], [0.400261, -0.133508, -0.395131, 0.737258, -0.008813, 0.205465, -0.282834, 0.000000, 0.000000, 0.000000], [0.139524, -0.397916, 0.597774, 0.188610, 0.510480, -0.344189, -0.224128, 0.000000, 0.000000, 0.000000], [0.541307, 0.310331, 0.255598, -0.390830, 0.056689, 0.453557, -0.428574, 0.000000, 0.000000, 0.000000], [0.447828, -0.007306, 0.443669, 0.193197, -0.580696, -0.099038, 0.467132, 0.000000, 0.000000, 0.000000]]
fourier: [[32.599273, 33.785062, 35.483899, 38.452649, 243.759957], [28.338735, 29.502842, 32.308481, 33.946636, 186.193674], [50.228555, 52.422153, 55.190857, 58.075424, 308.328299], [48.448760, 48.460444, 48.621022, 53.115585, 299.138310], [16.865481, 17.746447, 18.416353, 19.580488, 120.009516], [63.049120, 65.664872, 69.090354, 74.274399, 387.208158], [51.822437, 54.531509, 58.136077, 59.364959, 312.713803]]
### 4
mean: [7.953777, -1.406746, -2.344631, 0.515480, -1.926669, 5.638948, -0.700219]
std: [6.933331, 1.241003, 1.963908, 0.244717, 1.406945, 4.705817, 0.465981]
pca: [[0.786111, -0.161459, -0.109186, -0.531791, -0.230363, 0.058124, -0.069219, 0.000000, 0.000000, 0.000000], [-0.140540, 0.212670, -0.108596, -0.338480, 0.113716, 0.511614, 0.730738, 0.000000, 0.000000, 0.000000], [-0.222359, 0.231740, -0.556844, -0.027102, -0.323265, 0.485910, -0.495413, 0.000000, 0.000000, 0.000000], [0.025364, -0.351612, -0.135074, -0.118972, 0.827562, 0.274111, -0.288670, 0.000000, 0.000000, 0.000000], [-0.158786, 0.164367, 0.779772, -0.332865, -0.073282, 0.331366, -0.337273, 0.000000, 0.000000, 0.000000], [0.533382, 0.519238, 0.124102, 0.550959, 0.202802, 0.292712, -0.011382, 0.000000, 0.000000, 0.000000], [-0.049814, 0.674347, -0.156583, -0.416397, 0.313278, -0.477643, -0.136323, 0.000000, 0.000000, 0.000000]]
fourier: [[114.035105, 114.731734, 121.423721, 126.083753, 715.839955], [20.205591, 21.086562, 21.517380, 22.549920, 126.607126], [32.124029, 33.310787, 33.386982, 35.626477, 211.016778], [3.832031, 3.901703, 4.150079, 5.200383, 46.393193], [22.813412, 22.899482, 25.778065, 26.251656, 173.400166], [78.074264, 79.202140, 80.143862, 86.648619, 507.505324], [7.559056, 7.841397, 7.862026, 8.293862, 63.019733]]
### 6
mean: [5.698102, 3.543277, -0.682392, -0.381922, 2.046569, -5.508132, -2.395378]
std: [4.986474, 2.968474, 1.008991, 0.122406, 1.508818, 4.687548, 2.202353]
pca: [[0.624291, -0.216739, -0.308428, 0.264089, -0.006688, 0.102671, 0.622759, 0.000000, 0.000000, 0.000000], [0.371586, -0.497109, -0.263252, -0.526121, 0.247319, 0.027823, -0.454709, 0.000000, 0.000000, 0.000000], [-0.126226, -0.330751, 0.643068, -0.257501, 0.311075, 0.394485, 0.377414, 0.000000, 0.000000, 0.000000], [-0.012887, 0.604478, -0.323135, -0.201654, 0.617955, 0.310875, 0.104157, 0.000000, 0.000000, 0.000000], [0.188897, -0.075410, 0.279545, 0.551988, 0.623984, -0.354831, -0.246036, 0.000000, 0.000000, 0.000000], [-0.586850, -0.374806, -0.411926, -0.044757, 0.265947, -0.395606, 0.340896, 0.000000, 0.000000, 0.000000], [-0.275701, -0.291464, -0.264176, 0.489682, 0.008316, 0.673805, -0.274549, 0.000000, 0.000000, 0.000000]]
fourier: [[82.376151, 83.071808, 86.372151, 91.302368, 512.829129], [49.223233, 49.736340, 50.870511, 54.530343, 318.894934], [16.397436, 16.634416, 17.955732, 18.229254, 61.415255], [2.045020, 2.152407, 2.233933, 2.261441, 34.373011], [24.832644, 25.203030, 26.155684, 27.655894, 184.191207], [76.984616, 77.726976, 82.097291, 85.574004, 495.731854], [36.099500, 36.430934, 38.741713, 40.146942, 215.584002]]
### 8
mean: [0.817076, -1.558167, -0.543877, 5.094157, -1.830613, 4.065676, -0.876047]
std: [0.872351, 0.978872, 0.244500, 4.325328, 1.268804, 3.470555, 1.309289]
pca: [[0.145561, 0.746736, -0.031692, 0.185447, 0.023598, 0.588181, -0.198214, 0.000000, 0.000000, 0.000000], [-0.163456, -0.301362, 0.447975, -0.150569, 0.432109, 0.593903, 0.345936, 0.000000, 0.000000, 0.000000], [-0.040685, 0.415115, -0.249706, -0.330358, 0.001311, -0.158972, 0.793260, 0.000000, 0.000000, 0.000000], [0.722357, 0.025900, 0.569637, 0.131284, -0.253794, -0.134325, 0.230983, 0.000000, 0.000000, 0.000000], [-0.211874, 0.354737, 0.510462, -0.585191, 0.127720, -0.305977, -0.341052, 0.000000, 0.000000, 0.000000], [0.579605, -0.062641, -0.328136, -0.247343, 0.676572, -0.085349, -0.162015, 0.000000, 0.000000, 0.000000], [-0.218650, 0.220938, 0.207916, 0.642603, 0.523689, -0.396359, 0.125936, 0.000000, 0.000000, 0.000000]]
fourier: [[14.124998, 14.592396, 15.023733, 15.837644, 73.536846], [16.201464, 16.388524, 16.838693, 17.948902, 140.235000], [3.999967, 4.240884, 4.309003, 4.598015, 48.948938], [71.939928, 72.004741, 75.096965, 79.512689, 458.474114], [21.186160, 21.368796, 21.923064, 23.486398, 164.755201], [57.805350, 57.906625, 60.153390, 63.858317, 365.910819], [21.774304, 21.990471, 22.686642, 24.123615, 78.844229]]
### 10
mean: [4.470288, 3.161134, -0.991904, 3.348239, 4.634443, 2.900321, -0.626846]
std: [4.135708, 2.686433, 1.238582, 3.099749, 4.148661, 2.528898, 1.041668]
pca: [[0.533225, -0.552355, 0.292547, 0.314459, -0.243274, -0.345823, -0.217556, 0.000000, 0.000000, 0.000000], [0.346309, 0.628029, 0.022036, -0.329749, -0.044556, -0.549138, -0.269984, 0.000000, 0.000000, 0.000000], [-0.159618, 0.428975, 0.013604, 0.872115, -0.002667, -0.161999, 0.059005, 0.000000, 0.000000, 0.000000], [0.399689, 0.043015, -0.304695, -0.016834, -0.222689, -0.090452, 0.829159, 0.000000, 0.000000, 0.000000], [0.534937, 0.127956, 0.212841, 0.096227, 0.718388, 0.352997, 0.047115, 0.000000, 0.000000, 0.000000], [0.326067, 0.257317, -0.111022, 0.071818, -0.561157, 0.640776, -0.290676, 0.000000, 0.000000, 0.000000], [-0.134293, 0.178966, 0.873659, -0.130747, -0.241362, 0.096058, 0.319499, 0.000000, 0.000000, 0.000000]]
fourier: [[68.523158, 68.883372, 71.604238, 75.837916, 402.325867], [44.620960, 45.428834, 46.771810, 49.779836, 284.502054], [20.262578, 20.645857, 21.360301, 22.588141, 89.271397], [51.607390, 51.817929, 53.752999, 57.122247, 301.341559], [69.023689, 69.382278, 72.018261, 76.440475, 417.099930], [42.070267, 42.474961, 43.925925, 46.696893, 261.028834], [17.278855, 17.417886, 17.933859, 19.142639, 56.416167]]
### 12
mean: [-5.638251]
std: [5.133738]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[85.928569, 86.785521, 88.612039, 95.447628, 507.442585]]
## 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.
|
increasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.149671,
0.320392,
0.314754,
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[
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"network.0.bias": [
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"network.2.weight": [
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[
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[
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],
"network.2.bias": [
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0.029713,
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"network.4.weight": [
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[
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[
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"network.6.bias": [
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"network.8.weight": [
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[
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]
],
"network.8.bias": [
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"network.10.weight": [
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],
"network.10.bias": [
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"network.12.weight": [
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],
"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [1.340715, -0.157732, 2.780014, 2.826588, 1.016386, 2.110181, -0.210942]
std: [1.159199, 0.871719, 2.602123, 2.132367, 1.519460, 2.297377, 1.596380]
pca: [[0.194208, -0.415950, 0.104462, 0.645396, -0.241750, 0.548021, -0.055234, 0.000000, 0.000000, 0.000000], [-0.168982, -0.036278, 0.341241, 0.088864, 0.707936, 0.229404, 0.540358, 0.000000, 0.000000, 0.000000], [0.576520, -0.381883, -0.216708, -0.148160, -0.128548, -0.274515, 0.600827, 0.000000, 0.000000, 0.000000], [0.468735, -0.341139, 0.118792, -0.302743, 0.484789, 0.065806, -0.564620, 0.000000, 0.000000, 0.000000], [0.294537, 0.365988, 0.381855, -0.474775, -0.319693, 0.533443, 0.145981, 0.000000, 0.000000, 0.000000], [0.478290, 0.493447, 0.376877, 0.470261, 0.071480, -0.395000, -0.058591, 0.000000, 0.000000, 0.000000], [-0.257151, -0.431302, 0.723684, -0.124118, -0.285528, -0.356051, -0.020739, 0.000000, 0.000000, 0.000000]]
fourier: [[17.912675, 18.761814, 20.802022, 21.740698, 120.664340], [13.084465, 13.923943, 14.195901, 15.172250, 17.553729], [41.834424, 44.160408, 47.119749, 48.794031, 250.201220], [36.041838, 36.132416, 36.223332, 41.153095, 254.392941], [22.367455, 22.775801, 25.020038, 29.268645, 91.474752], [36.332116, 36.405404, 43.061957, 44.923812, 189.916303], [24.235728, 25.169493, 25.585470, 32.201098, 32.367370]]
### 2
mean: [2.708444, -2.068819, -3.425870, 3.323759, 1.333439, 4.302313, 3.474598]
std: [2.055045, 1.791792, 3.152508, 2.910219, 1.058974, 3.924841, 3.248403]
pca: [[0.282755, 0.275630, -0.127874, 0.049405, 0.630693, 0.117522, 0.643195, 0.000000, 0.000000, 0.000000], [-0.240476, 0.796148, 0.245383, 0.398842, 0.013076, -0.231466, -0.187840, 0.000000, 0.000000, 0.000000], [-0.434720, -0.132875, 0.384448, 0.263225, 0.031096, 0.745928, 0.137477, 0.000000, 0.000000, 0.000000], [0.400261, -0.133508, -0.395131, 0.737258, -0.008813, 0.205465, -0.282834, 0.000000, 0.000000, 0.000000], [0.139524, -0.397916, 0.597774, 0.188610, 0.510480, -0.344189, -0.224128, 0.000000, 0.000000, 0.000000], [0.541307, 0.310331, 0.255598, -0.390830, 0.056689, 0.453557, -0.428574, 0.000000, 0.000000, 0.000000], [0.447828, -0.007306, 0.443669, 0.193197, -0.580696, -0.099038, 0.467132, 0.000000, 0.000000, 0.000000]]
fourier: [[32.599273, 33.785062, 35.483899, 38.452649, 243.759957], [28.338735, 29.502842, 32.308481, 33.946636, 186.193674], [50.228555, 52.422153, 55.190857, 58.075424, 308.328299], [48.448760, 48.460444, 48.621022, 53.115585, 299.138310], [16.865481, 17.746447, 18.416353, 19.580488, 120.009516], [63.049120, 65.664872, 69.090354, 74.274399, 387.208158], [51.822437, 54.531509, 58.136077, 59.364959, 312.713803]]
### 4
mean: [7.953777, -1.406746, -2.344631, 0.515480, -1.926669, 5.638948, -0.700219]
std: [6.933331, 1.241003, 1.963908, 0.244717, 1.406945, 4.705817, 0.465981]
pca: [[0.786111, -0.161459, -0.109186, -0.531791, -0.230363, 0.058124, -0.069219, 0.000000, 0.000000, 0.000000], [-0.140540, 0.212670, -0.108596, -0.338480, 0.113716, 0.511614, 0.730738, 0.000000, 0.000000, 0.000000], [-0.222359, 0.231740, -0.556844, -0.027102, -0.323265, 0.485910, -0.495413, 0.000000, 0.000000, 0.000000], [0.025364, -0.351612, -0.135074, -0.118972, 0.827562, 0.274111, -0.288670, 0.000000, 0.000000, 0.000000], [-0.158786, 0.164367, 0.779772, -0.332865, -0.073282, 0.331366, -0.337273, 0.000000, 0.000000, 0.000000], [0.533382, 0.519238, 0.124102, 0.550959, 0.202802, 0.292712, -0.011382, 0.000000, 0.000000, 0.000000], [-0.049814, 0.674347, -0.156583, -0.416397, 0.313278, -0.477643, -0.136323, 0.000000, 0.000000, 0.000000]]
fourier: [[114.035105, 114.731734, 121.423721, 126.083753, 715.839955], [20.205591, 21.086562, 21.517380, 22.549920, 126.607126], [32.124029, 33.310787, 33.386982, 35.626477, 211.016778], [3.832031, 3.901703, 4.150079, 5.200383, 46.393193], [22.813412, 22.899482, 25.778065, 26.251656, 173.400166], [78.074264, 79.202140, 80.143862, 86.648619, 507.505324], [7.559056, 7.841397, 7.862026, 8.293862, 63.019733]]
### 6
mean: [5.698102, 3.543277, -0.682392, -0.381922, 2.046569, -5.508132, -2.395378]
std: [4.986474, 2.968474, 1.008991, 0.122406, 1.508818, 4.687548, 2.202353]
pca: [[0.624291, -0.216739, -0.308428, 0.264089, -0.006688, 0.102671, 0.622759, 0.000000, 0.000000, 0.000000], [0.371586, -0.497109, -0.263252, -0.526121, 0.247319, 0.027823, -0.454709, 0.000000, 0.000000, 0.000000], [-0.126226, -0.330751, 0.643068, -0.257501, 0.311075, 0.394485, 0.377414, 0.000000, 0.000000, 0.000000], [-0.012887, 0.604478, -0.323135, -0.201654, 0.617955, 0.310875, 0.104157, 0.000000, 0.000000, 0.000000], [0.188897, -0.075410, 0.279545, 0.551988, 0.623984, -0.354831, -0.246036, 0.000000, 0.000000, 0.000000], [-0.586850, -0.374806, -0.411926, -0.044757, 0.265947, -0.395606, 0.340896, 0.000000, 0.000000, 0.000000], [-0.275701, -0.291464, -0.264176, 0.489682, 0.008316, 0.673805, -0.274549, 0.000000, 0.000000, 0.000000]]
fourier: [[82.376151, 83.071808, 86.372151, 91.302368, 512.829129], [49.223233, 49.736340, 50.870511, 54.530343, 318.894934], [16.397436, 16.634416, 17.955732, 18.229254, 61.415255], [2.045020, 2.152407, 2.233933, 2.261441, 34.373011], [24.832644, 25.203030, 26.155684, 27.655894, 184.191207], [76.984616, 77.726976, 82.097291, 85.574004, 495.731854], [36.099500, 36.430934, 38.741713, 40.146942, 215.584002]]
### 8
mean: [0.817076, -1.558167, -0.543877, 5.094157, -1.830613, 4.065676, -0.876047]
std: [0.872351, 0.978872, 0.244500, 4.325328, 1.268804, 3.470555, 1.309289]
pca: [[0.145561, 0.746736, -0.031692, 0.185447, 0.023598, 0.588181, -0.198214, 0.000000, 0.000000, 0.000000], [-0.163456, -0.301362, 0.447975, -0.150569, 0.432109, 0.593903, 0.345936, 0.000000, 0.000000, 0.000000], [-0.040685, 0.415115, -0.249706, -0.330358, 0.001311, -0.158972, 0.793260, 0.000000, 0.000000, 0.000000], [0.722357, 0.025900, 0.569637, 0.131284, -0.253794, -0.134325, 0.230983, 0.000000, 0.000000, 0.000000], [-0.211874, 0.354737, 0.510462, -0.585191, 0.127720, -0.305977, -0.341052, 0.000000, 0.000000, 0.000000], [0.579605, -0.062641, -0.328136, -0.247343, 0.676572, -0.085349, -0.162015, 0.000000, 0.000000, 0.000000], [-0.218650, 0.220938, 0.207916, 0.642603, 0.523689, -0.396359, 0.125936, 0.000000, 0.000000, 0.000000]]
fourier: [[14.124998, 14.592396, 15.023733, 15.837644, 73.536846], [16.201464, 16.388524, 16.838693, 17.948902, 140.235000], [3.999967, 4.240884, 4.309003, 4.598015, 48.948938], [71.939928, 72.004741, 75.096965, 79.512689, 458.474114], [21.186160, 21.368796, 21.923064, 23.486398, 164.755201], [57.805350, 57.906625, 60.153390, 63.858317, 365.910819], [21.774304, 21.990471, 22.686642, 24.123615, 78.844229]]
### 10
mean: [4.470288, 3.161134, -0.991904, 3.348239, 4.634443, 2.900321, -0.626846]
std: [4.135708, 2.686433, 1.238582, 3.099749, 4.148661, 2.528898, 1.041668]
pca: [[0.533225, -0.552355, 0.292547, 0.314459, -0.243274, -0.345823, -0.217556, 0.000000, 0.000000, 0.000000], [0.346309, 0.628029, 0.022036, -0.329749, -0.044556, -0.549138, -0.269984, 0.000000, 0.000000, 0.000000], [-0.159618, 0.428975, 0.013604, 0.872115, -0.002667, -0.161999, 0.059005, 0.000000, 0.000000, 0.000000], [0.399689, 0.043015, -0.304695, -0.016834, -0.222689, -0.090452, 0.829159, 0.000000, 0.000000, 0.000000], [0.534937, 0.127956, 0.212841, 0.096227, 0.718388, 0.352997, 0.047115, 0.000000, 0.000000, 0.000000], [0.326067, 0.257317, -0.111022, 0.071818, -0.561157, 0.640776, -0.290676, 0.000000, 0.000000, 0.000000], [-0.134293, 0.178966, 0.873659, -0.130747, -0.241362, 0.096058, 0.319499, 0.000000, 0.000000, 0.000000]]
fourier: [[68.523158, 68.883372, 71.604238, 75.837916, 402.325867], [44.620960, 45.428834, 46.771810, 49.779836, 284.502054], [20.262578, 20.645857, 21.360301, 22.588141, 89.271397], [51.607390, 51.817929, 53.752999, 57.122247, 301.341559], [69.023689, 69.382278, 72.018261, 76.440475, 417.099930], [42.070267, 42.474961, 43.925925, 46.696893, 261.028834], [17.278855, 17.417886, 17.933859, 19.142639, 56.416167]]
### 12
mean: [-5.638251]
std: [5.133738]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[85.928569, 86.785521, 88.612039, 95.447628, 507.442585]]
## 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.
increasing_pairs
|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6863398849964142, "train_acc": 0.555, "val_loss": 0.681810736656189, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6653430163860321, "train_acc": 0.555, "val_loss": 0.6052062511444092, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6045621335506439, "train_acc": 0.565, "val_loss": 0.4944307804107666, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4579178988933563, "train_acc": 0.86, "val_loss": 0.4255264401435852, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3985966742038727, "train_acc": 0.855, "val_loss": 0.41512826085090637, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.37496745586395264, "train_acc": 0.855, "val_loss": 0.3907853066921234, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.36994363367557526, "train_acc": 0.83, "val_loss": 0.40035372972488403, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3578190356492996, "train_acc": 0.845, "val_loss": 0.43155837059020996, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.2911253571510315, "train_acc": 0.885, "val_loss": 0.5223149657249451, "val_acc": 0.84}], "summary": {"total_epochs": 9, "degraded_epochs": 2, "improved_epochs": 7, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.681810736656189, "final_val_loss": 0.6052062511444092, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.4944307804107666, "final_val_loss": 0.5223149657249451, "initial_val_acc": 0.84, "final_val_acc": 0.84, "best_val_acc": 0.86, "best_epoch": 3}, "improvement": 0.33999999999999997, "first_improvement_epoch": 1}}
|
9,408
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.42, "improved_accuracy": 0.96, "improvement": 0.54, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3100, "learning_rate": 0.027309668768826456, "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: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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"network.0.bias": [
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"network.2.weight": [
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[
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"network.4.weight": [
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"network.8.weight": [
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"network.10.weight": [
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"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [-0.228355, 3.294954, 0.539088, 0.526431, 0.853909, 1.690574, 0.428751]
std: [0.972038, 2.445845, 1.078756, 0.976530, 1.624152, 1.461526, 1.455096]
pca: [[0.218229, -0.304007, 0.190529, -0.227352, -0.014664, 0.456759, 0.750414, 0.000000, 0.000000, 0.000000], [0.855614, 0.421851, -0.247915, -0.140683, -0.051201, 0.025120, -0.073890, 0.000000, 0.000000, 0.000000], [0.205520, 0.068312, 0.394675, 0.540835, -0.214346, -0.566146, 0.371966, 0.000000, 0.000000, 0.000000], [0.075653, -0.184905, -0.451708, 0.264085, 0.770506, -0.196472, 0.232433, 0.000000, 0.000000, 0.000000], [-0.369485, 0.455330, -0.454745, -0.296542, -0.234470, -0.275092, 0.480389, 0.000000, 0.000000, 0.000000], [-0.176186, 0.551248, 0.025059, 0.560381, 0.093035, 0.577951, 0.088007, 0.000000, 0.000000, 0.000000], [-0.069120, 0.423752, 0.578798, -0.405354, 0.542133, -0.148035, 0.022704, 0.000000, 0.000000, 0.000000]]
fourier: [[15.066148, 15.459017, 16.856352, 17.085447, 20.551916], [38.262814, 38.285236, 41.865963, 48.214588, 296.545889], [17.194956, 17.242241, 17.427329, 22.535058, 48.517897], [17.158603, 18.083536, 19.468810, 21.997489, 47.378808], [23.623944, 26.651808, 26.689804, 30.629000, 76.851839], [23.640097, 24.812828, 26.305683, 29.983366, 152.151605], [24.722201, 26.524297, 28.721881, 29.636982, 38.587586]]
### 2
mean: [1.189235, -0.124140, 0.653271, 2.247729, 0.434924, 2.910655, 0.697388]
std: [0.872146, 0.480016, 1.112585, 1.669888, 0.958384, 1.926293, 1.440593]
pca: [[0.201739, 0.135737, 0.862453, -0.352657, -0.171773, 0.133098, -0.159574, 0.000000, 0.000000, 0.000000], [-0.041022, 0.169352, 0.247794, 0.272121, 0.729243, -0.443624, -0.324944, 0.000000, 0.000000, 0.000000], [0.062898, 0.468219, -0.251264, -0.201055, -0.458110, -0.549824, -0.401356, 0.000000, 0.000000, 0.000000], [0.575572, -0.401739, 0.110090, 0.589532, -0.306433, -0.181884, -0.143775, 0.000000, 0.000000, 0.000000], [0.043608, 0.407030, 0.200586, 0.240072, -0.095487, -0.323446, 0.787921, 0.000000, 0.000000, 0.000000], [0.784933, 0.156431, -0.275593, -0.364388, 0.352381, 0.089148, 0.136233, 0.000000, 0.000000, 0.000000], [0.066011, 0.618165, -0.057736, 0.472439, -0.040523, 0.580973, -0.218657, 0.000000, 0.000000, 0.000000]]
fourier: [[12.362660, 12.705946, 13.691080, 15.595970, 107.031144], [7.771938, 8.017653, 9.081738, 10.511021, 11.172635], [16.568090, 17.425829, 18.868453, 19.617680, 58.794351], [24.908285, 25.711205, 29.348082, 34.935985, 202.295566], [16.204850, 16.388061, 16.393319, 18.776692, 39.143146], [29.768637, 30.926693, 37.578157, 37.632699, 261.958949], [22.307785, 24.640606, 24.787714, 24.975989, 62.764883]]
### 4
mean: [1.629037, 0.808635, 1.625041, 1.223942, 1.595419, 0.883452, 1.445618]
std: [1.986978, 0.398049, 2.585407, 1.963616, 2.916840, 2.231964, 2.441894]
pca: [[-0.255206, 0.950346, 0.113885, 0.044010, -0.080796, 0.016210, -0.100077, 0.000000, 0.000000, 0.000000], [-0.035290, 0.140278, -0.520618, -0.504146, -0.074814, 0.007151, 0.669494, 0.000000, 0.000000, 0.000000], [0.453911, 0.203748, -0.473190, 0.083354, 0.590404, -0.329032, -0.254472, 0.000000, 0.000000, 0.000000], [0.347829, 0.087735, -0.016691, -0.159087, 0.157714, 0.897377, -0.124785, 0.000000, 0.000000, 0.000000], [0.516556, 0.117519, -0.124442, 0.614486, -0.475884, 0.022370, 0.315142, 0.000000, 0.000000, 0.000000], [0.390269, 0.107875, 0.687258, -0.173744, 0.329462, -0.176517, 0.440270, 0.000000, 0.000000, 0.000000], [0.432970, 0.050071, 0.063164, -0.551238, -0.528596, -0.233409, -0.410223, 0.000000, 0.000000, 0.000000]]
fourier: [[30.863498, 32.567998, 32.669922, 36.684477, 146.613328], [5.957947, 6.593991, 6.981038, 7.892998, 72.777139], [39.377133, 45.790804, 51.451675, 52.565688, 146.253745], [28.146874, 35.136643, 40.384337, 41.064870, 110.154817], [41.489810, 51.791241, 59.248941, 59.582389, 143.587714], [34.264046, 38.947252, 48.409442, 48.662476, 79.510627], [35.195667, 43.831165, 49.993300, 51.213492, 130.105656]]
### 6
mean: [4.072342, -0.838279, 3.287090, 5.302815, 3.529922, -2.627948, 2.338866]
std: [4.516440, 1.781550, 3.848515, 4.751435, 3.310792, 2.996849, 1.812083]
pca: [[0.494631, -0.187141, 0.581838, -0.403963, -0.290729, 0.125157, 0.344106, 0.000000, 0.000000, 0.000000], [-0.184603, 0.561378, 0.525030, 0.474930, -0.338016, -0.186525, 0.022706, 0.000000, 0.000000, 0.000000], [0.419277, -0.446159, 0.177646, 0.665307, 0.122537, 0.174712, -0.324682, 0.000000, 0.000000, 0.000000], [0.520084, 0.303530, -0.345997, 0.271472, 0.223453, -0.217128, 0.588978, 0.000000, 0.000000, 0.000000], [0.360490, 0.400553, 0.219221, -0.301096, 0.482934, -0.240397, -0.529028, 0.000000, 0.000000, 0.000000], [-0.328498, 0.014371, 0.375639, 0.062741, 0.685443, 0.386774, 0.356952, 0.000000, 0.000000, 0.000000], [0.192657, 0.444967, -0.213013, -0.018152, -0.182256, 0.815163, -0.146547, 0.000000, 0.000000, 0.000000]]
fourier: [[73.447055, 77.441400, 90.227132, 95.933858, 366.510798], [31.266868, 31.991609, 33.375466, 35.382320, 75.445135], [64.270179, 67.877517, 76.824561, 79.997579, 295.838116], [73.602715, 84.038907, 91.382464, 100.351501, 477.253288], [49.544332, 55.183086, 64.110316, 71.183044, 317.692931], [48.192878, 55.035274, 57.405189, 62.087874, 236.515275], [25.172369, 30.498737, 32.470274, 38.541756, 210.497947]]
### 8
mean: [-8.284760, 6.600116, -8.194511, 10.930130, -6.861280, 7.478633, 5.604371]
std: [7.762793, 5.986339, 7.559181, 9.582676, 6.292251, 6.977495, 5.294116]
pca: [[-0.408422, 0.213148, -0.207537, 0.027026, -0.541771, -0.544145, -0.392871, 0.000000, 0.000000, 0.000000], [0.314918, 0.314377, -0.053932, 0.723980, 0.148925, 0.143015, -0.481981, 0.000000, 0.000000, 0.000000], [-0.397649, 0.365474, 0.494094, -0.205637, -0.146944, 0.576871, -0.259839, 0.000000, 0.000000, 0.000000], [0.504174, 0.149270, -0.457891, -0.552822, -0.182927, 0.250844, -0.334463, 0.000000, 0.000000, 0.000000], [-0.330995, 0.359446, -0.261906, -0.242122, 0.762665, -0.184547, -0.135305, 0.000000, 0.000000, 0.000000], [0.367076, -0.086336, 0.643696, -0.261488, 0.160880, -0.461867, -0.368616, 0.000000, 0.000000, 0.000000], [0.278207, 0.750485, 0.131484, -0.014970, -0.147344, -0.200927, 0.528942, 0.000000, 0.000000, 0.000000]]
fourier: [[119.350545, 135.674776, 147.829930, 166.455684, 745.628360], [93.668498, 105.341633, 114.709044, 128.298362, 594.010458], [116.458867, 131.587648, 143.377972, 162.681857, 737.506074], [148.953799, 167.981353, 183.064912, 205.622659, 983.711762], [96.055465, 109.898526, 119.155214, 134.915010, 617.515173], [106.906479, 121.719535, 133.245106, 149.114404, 673.076989], [83.663367, 93.587783, 102.361529, 112.819897, 504.393325]]
### 10
mean: [-17.478924]
std: [15.291656]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[234.778511, 266.424722, 290.218975, 329.649628, 1573.103072]]
## 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: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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0.021717,
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],
[
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[
-0.156295,
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0.02013
],
[
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0.244154,
0.106099,
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[
-0.360491,
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[
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],
[
-0.378989,
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0.14981,
-0.263747
]
],
"network.0.bias": [
0.219621,
0.495009,
0.01122,
0.107366,
0.553246,
0.577569,
0.124189
],
"network.2.weight": [
[
-0.328282,
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0.058351,
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[
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[
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[
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[
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[
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],
"network.2.bias": [
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],
"network.4.weight": [
[
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[
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[
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[
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"network.4.bias": [
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"network.6.weight": [
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[
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[
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[
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[
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[
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],
"network.6.bias": [
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],
"network.8.weight": [
[
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0.170084,
-0.680593
],
[
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0.116384,
0.208789,
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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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0.514046,
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],
"network.10.bias": [
0.01252
]
}
## Activation Signature
### 0
mean: [-0.228355, 3.294954, 0.539088, 0.526431, 0.853909, 1.690574, 0.428751]
std: [0.972038, 2.445845, 1.078756, 0.976530, 1.624152, 1.461526, 1.455096]
pca: [[0.218229, -0.304007, 0.190529, -0.227352, -0.014664, 0.456759, 0.750414, 0.000000, 0.000000, 0.000000], [0.855614, 0.421851, -0.247915, -0.140683, -0.051201, 0.025120, -0.073890, 0.000000, 0.000000, 0.000000], [0.205520, 0.068312, 0.394675, 0.540835, -0.214346, -0.566146, 0.371966, 0.000000, 0.000000, 0.000000], [0.075653, -0.184905, -0.451708, 0.264085, 0.770506, -0.196472, 0.232433, 0.000000, 0.000000, 0.000000], [-0.369485, 0.455330, -0.454745, -0.296542, -0.234470, -0.275092, 0.480389, 0.000000, 0.000000, 0.000000], [-0.176186, 0.551248, 0.025059, 0.560381, 0.093035, 0.577951, 0.088007, 0.000000, 0.000000, 0.000000], [-0.069120, 0.423752, 0.578798, -0.405354, 0.542133, -0.148035, 0.022704, 0.000000, 0.000000, 0.000000]]
fourier: [[15.066148, 15.459017, 16.856352, 17.085447, 20.551916], [38.262814, 38.285236, 41.865963, 48.214588, 296.545889], [17.194956, 17.242241, 17.427329, 22.535058, 48.517897], [17.158603, 18.083536, 19.468810, 21.997489, 47.378808], [23.623944, 26.651808, 26.689804, 30.629000, 76.851839], [23.640097, 24.812828, 26.305683, 29.983366, 152.151605], [24.722201, 26.524297, 28.721881, 29.636982, 38.587586]]
### 2
mean: [1.189235, -0.124140, 0.653271, 2.247729, 0.434924, 2.910655, 0.697388]
std: [0.872146, 0.480016, 1.112585, 1.669888, 0.958384, 1.926293, 1.440593]
pca: [[0.201739, 0.135737, 0.862453, -0.352657, -0.171773, 0.133098, -0.159574, 0.000000, 0.000000, 0.000000], [-0.041022, 0.169352, 0.247794, 0.272121, 0.729243, -0.443624, -0.324944, 0.000000, 0.000000, 0.000000], [0.062898, 0.468219, -0.251264, -0.201055, -0.458110, -0.549824, -0.401356, 0.000000, 0.000000, 0.000000], [0.575572, -0.401739, 0.110090, 0.589532, -0.306433, -0.181884, -0.143775, 0.000000, 0.000000, 0.000000], [0.043608, 0.407030, 0.200586, 0.240072, -0.095487, -0.323446, 0.787921, 0.000000, 0.000000, 0.000000], [0.784933, 0.156431, -0.275593, -0.364388, 0.352381, 0.089148, 0.136233, 0.000000, 0.000000, 0.000000], [0.066011, 0.618165, -0.057736, 0.472439, -0.040523, 0.580973, -0.218657, 0.000000, 0.000000, 0.000000]]
fourier: [[12.362660, 12.705946, 13.691080, 15.595970, 107.031144], [7.771938, 8.017653, 9.081738, 10.511021, 11.172635], [16.568090, 17.425829, 18.868453, 19.617680, 58.794351], [24.908285, 25.711205, 29.348082, 34.935985, 202.295566], [16.204850, 16.388061, 16.393319, 18.776692, 39.143146], [29.768637, 30.926693, 37.578157, 37.632699, 261.958949], [22.307785, 24.640606, 24.787714, 24.975989, 62.764883]]
### 4
mean: [1.629037, 0.808635, 1.625041, 1.223942, 1.595419, 0.883452, 1.445618]
std: [1.986978, 0.398049, 2.585407, 1.963616, 2.916840, 2.231964, 2.441894]
pca: [[-0.255206, 0.950346, 0.113885, 0.044010, -0.080796, 0.016210, -0.100077, 0.000000, 0.000000, 0.000000], [-0.035290, 0.140278, -0.520618, -0.504146, -0.074814, 0.007151, 0.669494, 0.000000, 0.000000, 0.000000], [0.453911, 0.203748, -0.473190, 0.083354, 0.590404, -0.329032, -0.254472, 0.000000, 0.000000, 0.000000], [0.347829, 0.087735, -0.016691, -0.159087, 0.157714, 0.897377, -0.124785, 0.000000, 0.000000, 0.000000], [0.516556, 0.117519, -0.124442, 0.614486, -0.475884, 0.022370, 0.315142, 0.000000, 0.000000, 0.000000], [0.390269, 0.107875, 0.687258, -0.173744, 0.329462, -0.176517, 0.440270, 0.000000, 0.000000, 0.000000], [0.432970, 0.050071, 0.063164, -0.551238, -0.528596, -0.233409, -0.410223, 0.000000, 0.000000, 0.000000]]
fourier: [[30.863498, 32.567998, 32.669922, 36.684477, 146.613328], [5.957947, 6.593991, 6.981038, 7.892998, 72.777139], [39.377133, 45.790804, 51.451675, 52.565688, 146.253745], [28.146874, 35.136643, 40.384337, 41.064870, 110.154817], [41.489810, 51.791241, 59.248941, 59.582389, 143.587714], [34.264046, 38.947252, 48.409442, 48.662476, 79.510627], [35.195667, 43.831165, 49.993300, 51.213492, 130.105656]]
### 6
mean: [4.072342, -0.838279, 3.287090, 5.302815, 3.529922, -2.627948, 2.338866]
std: [4.516440, 1.781550, 3.848515, 4.751435, 3.310792, 2.996849, 1.812083]
pca: [[0.494631, -0.187141, 0.581838, -0.403963, -0.290729, 0.125157, 0.344106, 0.000000, 0.000000, 0.000000], [-0.184603, 0.561378, 0.525030, 0.474930, -0.338016, -0.186525, 0.022706, 0.000000, 0.000000, 0.000000], [0.419277, -0.446159, 0.177646, 0.665307, 0.122537, 0.174712, -0.324682, 0.000000, 0.000000, 0.000000], [0.520084, 0.303530, -0.345997, 0.271472, 0.223453, -0.217128, 0.588978, 0.000000, 0.000000, 0.000000], [0.360490, 0.400553, 0.219221, -0.301096, 0.482934, -0.240397, -0.529028, 0.000000, 0.000000, 0.000000], [-0.328498, 0.014371, 0.375639, 0.062741, 0.685443, 0.386774, 0.356952, 0.000000, 0.000000, 0.000000], [0.192657, 0.444967, -0.213013, -0.018152, -0.182256, 0.815163, -0.146547, 0.000000, 0.000000, 0.000000]]
fourier: [[73.447055, 77.441400, 90.227132, 95.933858, 366.510798], [31.266868, 31.991609, 33.375466, 35.382320, 75.445135], [64.270179, 67.877517, 76.824561, 79.997579, 295.838116], [73.602715, 84.038907, 91.382464, 100.351501, 477.253288], [49.544332, 55.183086, 64.110316, 71.183044, 317.692931], [48.192878, 55.035274, 57.405189, 62.087874, 236.515275], [25.172369, 30.498737, 32.470274, 38.541756, 210.497947]]
### 8
mean: [-8.284760, 6.600116, -8.194511, 10.930130, -6.861280, 7.478633, 5.604371]
std: [7.762793, 5.986339, 7.559181, 9.582676, 6.292251, 6.977495, 5.294116]
pca: [[-0.408422, 0.213148, -0.207537, 0.027026, -0.541771, -0.544145, -0.392871, 0.000000, 0.000000, 0.000000], [0.314918, 0.314377, -0.053932, 0.723980, 0.148925, 0.143015, -0.481981, 0.000000, 0.000000, 0.000000], [-0.397649, 0.365474, 0.494094, -0.205637, -0.146944, 0.576871, -0.259839, 0.000000, 0.000000, 0.000000], [0.504174, 0.149270, -0.457891, -0.552822, -0.182927, 0.250844, -0.334463, 0.000000, 0.000000, 0.000000], [-0.330995, 0.359446, -0.261906, -0.242122, 0.762665, -0.184547, -0.135305, 0.000000, 0.000000, 0.000000], [0.367076, -0.086336, 0.643696, -0.261488, 0.160880, -0.461867, -0.368616, 0.000000, 0.000000, 0.000000], [0.278207, 0.750485, 0.131484, -0.014970, -0.147344, -0.200927, 0.528942, 0.000000, 0.000000, 0.000000]]
fourier: [[119.350545, 135.674776, 147.829930, 166.455684, 745.628360], [93.668498, 105.341633, 114.709044, 128.298362, 594.010458], [116.458867, 131.587648, 143.377972, 162.681857, 737.506074], [148.953799, 167.981353, 183.064912, 205.622659, 983.711762], [96.055465, 109.898526, 119.155214, 134.915010, 617.515173], [106.906479, 121.719535, 133.245106, 149.114404, 673.076989], [83.663367, 93.587783, 102.361529, 112.819897, 504.393325]]
### 10
mean: [-17.478924]
std: [15.291656]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[234.778511, 266.424722, 290.218975, 329.649628, 1573.103072]]
## 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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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.375343, 0.021717, -0.095487, -0.19787, -0.268264], [0.683202, 0.715604, -0.093201, 0.150462, 0.419819], [-0.156295, 0.510022, 0.245245, -0.346999, 0.02013], [0.28425, -0.438261, 0.244154, 0.106099, 0.102492], [-0.360491, -0.201902, -0.213475, 0.518475, 0.365894], [-0.651461, 0.362355, 0.260633, 0.131149, 0.354928], [-0.378989, 0.609453, -0.15814, 0.14981, -0.263747]], "network.0.bias": [0.219621, 0.495009, 0.01122, 0.107366, 0.553246, 0.577569, 0.124189], "network.2.weight": [[-0.328282, 0.186437, 0.058351, 0.834983, 0.200027, -0.115106, 0.372997], [-0.431439, 0.164949, 0.106501, 0.104108, -0.094529, -0.212989, -0.144148], [-0.13195, 0.504785, -0.379509, -0.655028, -0.048798, -0.294072, -0.321343], [0.046377, -0.107935, 0.503206, 0.129259, 0.590512, 0.681171, 0.390013], [-0.179524, 0.401558, -0.111118, -0.087011, -0.017871, -0.256736, -0.263407], [0.029343, 0.498805, 0.311165, -0.65118, 0.642506, 0.224919, 0.407337], [0.295072, 0.585453, -0.424488, -0.452614, -0.236056, -0.111666, -0.412299]], "network.2.bias": [-0.131409, -0.162578, 0.413408, 0.156006, -0.09375, 0.142261, -0.019112], "network.4.weight": [[-0.155448, -0.294726, 0.290962, -0.462005, 0.191446, 0.625525, 0.680457], [0.387849, -0.191914, -0.062585, 0.007169, -0.132489, -0.028816, 0.296003], [0.066299, -0.266847, -0.651325, 0.631562, -0.089578, 0.311368, -0.729538], [-0.074423, -0.487612, -0.201952, 0.572318, -0.190489, 0.129023, -0.563642], [0.018977, -0.317545, -0.604242, 0.519242, -0.78067, 0.418699, -0.687826], [-0.673355, -0.300099, -0.366238, 0.693704, -0.153434, 0.218733, -0.467627], [-0.078107, -0.738324, -0.660547, 0.693895, -0.634704, 0.132604, -0.156323]], "network.4.bias": [0.237823, 0.336037, 0.303864, 0.33389, 0.526572, 0.138024, 0.493538], "network.6.weight": [[-0.422911, -0.611323, 0.384909, 0.540101, 0.639911, 0.175467, 0.704], [0.558355, -0.549323, -0.6059, 0.085787, 0.045194, 0.130258, -0.240981], [-0.620759, 0.059328, 0.405704, 0.613094, 0.120708, 0.698108, 0.301065], [-0.34306, 0.403474, 0.636787, 0.532217, 0.477363, 0.476828, 0.658889], [-0.025499, -0.366283, 0.566479, 0.179394, 0.305229, 0.084203, 0.792554], [0.361897, -0.434349, -0.309423, -0.121172, -0.631429, -0.203805, -0.304101], [0.063935, 0.200523, -0.096489, 0.252734, 0.511351, 0.041779, 0.429487]], "network.6.bias": [0.433741, -0.05213, 0.54756, 0.36449, -0.003796, 0.222441, -0.135522], "network.8.weight": [[-0.458574, 0.456164, -0.318281, -0.452295, -0.45119, 0.170084, -0.680593], [0.769653, -0.385064, 0.214777, 0.116384, 0.208789, -0.364895, 0.470606], [-0.767804, 0.068984, -0.304667, -0.28735, -0.619532, 0.442498, -0.128975], [0.494452, -0.388584, 0.720195, 0.747313, 0.370693, -0.472998, 0.287582], [-0.558633, 0.18736, -0.055006, -0.41049, -0.166921, 0.338185, -0.754413], [0.132939, -0.20213, 0.072418, 0.700382, 0.731284, -0.466566, 0.256196], [0.326378, -0.399038, 0.239012, 0.520506, 0.165533, -0.400129, 0.029873]], "network.8.bias": [0.486989, 0.020261, 0.457921, 0.108683, 0.327258, -0.272405, -0.058612], "network.10.weight": [[0.355931, -0.551959, 0.537651, -0.776276, 0.514046, -0.391627, -0.396773]], "network.10.bias": [0.01252]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6770577728748322, "train_acc": 0.595, "val_loss": 0.7311058044433594, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6478551626205444, "train_acc": 0.595, "val_loss": 0.6791308522224426, "val_acc": 0.42}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.585824728012085, "train_acc": 0.52, "val_loss": 0.5619662404060364, "val_acc": 0.42}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.46882177889347076, "train_acc": 0.675, "val_loss": 0.42544400691986084, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3287349194288254, "train_acc": 0.93, "val_loss": 0.3272070586681366, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.25550299882888794, "train_acc": 0.94, "val_loss": 0.24084614217281342, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.18658572435379028, "train_acc": 0.94, "val_loss": 0.24929000437259674, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.1891751065850258, "train_acc": 0.94, "val_loss": 0.28142639994621277, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.18162661790847778, "train_acc": 0.94, "val_loss": 0.20779955387115479, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.1692999266088009, "train_acc": 0.94, "val_loss": 0.18855592608451843, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.15927965939044952, "train_acc": 0.94, "val_loss": 0.1741316169500351, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.14532587677240372, "train_acc": 0.945, "val_loss": 0.15398085117340088, "val_acc": 0.96}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7311058044433594, "final_val_loss": 0.6791308522224426, "initial_val_acc": 0.42, "final_val_acc": 0.42, "best_val_acc": 0.42}, "improved_stage": {"initial_val_loss": 0.5619662404060364, "final_val_loss": 0.15398085117340088, "initial_val_acc": 0.42, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 10}, "improvement": 0.54, "first_improvement_epoch": 1}}
|
9,409
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.46, "improved_accuracy": 0.84, "improvement": 0.37999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6486, "learning_rate": 0.0328558247683425, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "no_repeats", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["no_repeats"], "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: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
mean: [-1.595370, 0.992829, -1.391863, -0.490636, 0.630631]
std: [1.218548, 1.481239, 0.857246, 1.847133, 1.872692]
pca: [[0.336737, -0.478832, -0.295887, -0.174820, 0.734314, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.453711, 0.334085, -0.452371, 0.691253, -0.007920, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.128714, -0.459961, -0.556249, -0.233521, -0.638689, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.574240, -0.411368, 0.630703, 0.232108, -0.222180, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.578304, 0.527559, 0.024733, -0.619032, -0.058592, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.113422, 20.707290, 21.991082, 24.582772, 143.583261], [24.535603, 26.138064, 26.704333, 29.623083, 89.354586], [14.337461, 14.665410, 15.320723, 16.448569, 125.267623], [27.689171, 27.818884, 32.773337, 33.480417, 44.157224], [28.692819, 29.326193, 31.955144, 34.421977, 56.756799]]
### 2
mean: [1.885185, 2.035498, -0.243103, 0.972610, 2.164025]
std: [2.648837, 2.145111, 1.038276, 1.500323, 2.221894]
pca: [[0.594392, 0.443570, 0.616138, 0.192477, -0.182402, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.481980, 0.079113, -0.196390, -0.281947, 0.802105, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.229577, 0.725521, -0.411621, 0.482871, 0.135343, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.336387, 0.263090, -0.510078, -0.520010, -0.535760, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.498530, -0.448765, -0.390120, 0.616347, -0.134168, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[42.423159, 45.524551, 46.942960, 48.693245, 169.666612], [34.094062, 36.736996, 37.238251, 39.357854, 183.194835], [17.186546, 18.603182, 18.934738, 19.236432, 21.879248], [23.749546, 25.275607, 26.151713, 27.282882, 87.534919], [36.243946, 37.809114, 38.344529, 40.688333, 194.762250]]
### 4
mean: [5.127133, -1.220851, -0.194372, -0.411953, -0.962151]
std: [6.986816, 2.481594, 0.965225, 1.175590, 1.490791]
pca: [[0.905946, 0.210425, 0.171793, 0.310778, 0.094275, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.321655, 0.375432, 0.053819, 0.773122, -0.393669, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.123730, 0.879484, 0.145704, -0.380069, 0.213344, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.152091, -0.197963, 0.963310, 0.015366, 0.097348, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.193285, -0.045715, -0.135627, 0.401262, 0.883824, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[111.308958, 120.591744, 122.334659, 128.037598, 461.442010], [39.511363, 43.060747, 44.048065, 45.371058, 109.876630], [15.549204, 16.693779, 17.493493, 17.538764, 17.700184], [19.430433, 19.762768, 19.902513, 21.253084, 37.075769], [23.594379, 26.030920, 26.278604, 27.232272, 86.593620]]
### 6
mean: [3.223936, -0.820430, -1.691576, 2.364728, -4.540665]
std: [4.684850, 1.095532, 3.310043, 3.303565, 6.559025]
pca: [[-0.499286, 0.524458, -0.505409, 0.411652, -0.225304, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.116337, -0.504713, -0.071040, 0.821500, 0.227645, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.352661, 0.551258, 0.621888, 0.391735, -0.177609, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.352119, 0.262099, 0.222861, -0.011019, 0.870361, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.699158, 0.312454, -0.550549, -0.045867, 0.329155, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[75.296218, 76.081602, 79.469482, 86.976592, 290.154276], [17.320867, 17.606474, 18.392966, 20.359823, 73.838720], [53.367579, 56.425200, 58.365056, 61.201211, 152.241796], [53.457742, 53.567875, 56.073284, 61.121783, 212.825504], [105.036061, 108.988475, 113.206918, 121.043754, 408.659843]]
### 8
mean: [-0.261019, -0.476903, -0.665888, 1.921526, 3.690918]
std: [0.250873, 0.981320, 1.712056, 3.162868, 5.266228]
pca: [[-0.031118, 0.744041, -0.496898, 0.375982, -0.239093, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.151656, 0.352040, -0.021400, -0.159091, 0.909561, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.265190, 0.178067, 0.733115, 0.600354, 0.009120, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.489926, -0.381690, -0.269780, 0.653935, 0.337451, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.815891, 0.380889, 0.377353, -0.212772, -0.039720, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.920336, 4.196553, 4.827192, 5.336269, 23.491746], [15.476276, 15.723602, 16.487795, 18.281977, 42.921240], [27.304973, 28.082706, 28.701430, 31.859513, 59.929959], [50.503464, 51.626457, 52.876098, 58.920737, 172.937347], [83.735219, 85.071317, 90.892541, 97.904061, 332.182583]]
### 10
mean: [-3.188064]
std: [4.779999]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[75.998407, 77.614275, 83.538876, 88.695019, 286.925786]]
## 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.
|
no_repeats
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
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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[
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"network.0.bias": [
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"network.10.bias": [
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}
## Activation Signature
### 0
mean: [-1.595370, 0.992829, -1.391863, -0.490636, 0.630631]
std: [1.218548, 1.481239, 0.857246, 1.847133, 1.872692]
pca: [[0.336737, -0.478832, -0.295887, -0.174820, 0.734314, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.453711, 0.334085, -0.452371, 0.691253, -0.007920, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.128714, -0.459961, -0.556249, -0.233521, -0.638689, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.574240, -0.411368, 0.630703, 0.232108, -0.222180, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.578304, 0.527559, 0.024733, -0.619032, -0.058592, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.113422, 20.707290, 21.991082, 24.582772, 143.583261], [24.535603, 26.138064, 26.704333, 29.623083, 89.354586], [14.337461, 14.665410, 15.320723, 16.448569, 125.267623], [27.689171, 27.818884, 32.773337, 33.480417, 44.157224], [28.692819, 29.326193, 31.955144, 34.421977, 56.756799]]
### 2
mean: [1.885185, 2.035498, -0.243103, 0.972610, 2.164025]
std: [2.648837, 2.145111, 1.038276, 1.500323, 2.221894]
pca: [[0.594392, 0.443570, 0.616138, 0.192477, -0.182402, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.481980, 0.079113, -0.196390, -0.281947, 0.802105, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.229577, 0.725521, -0.411621, 0.482871, 0.135343, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.336387, 0.263090, -0.510078, -0.520010, -0.535760, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.498530, -0.448765, -0.390120, 0.616347, -0.134168, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[42.423159, 45.524551, 46.942960, 48.693245, 169.666612], [34.094062, 36.736996, 37.238251, 39.357854, 183.194835], [17.186546, 18.603182, 18.934738, 19.236432, 21.879248], [23.749546, 25.275607, 26.151713, 27.282882, 87.534919], [36.243946, 37.809114, 38.344529, 40.688333, 194.762250]]
### 4
mean: [5.127133, -1.220851, -0.194372, -0.411953, -0.962151]
std: [6.986816, 2.481594, 0.965225, 1.175590, 1.490791]
pca: [[0.905946, 0.210425, 0.171793, 0.310778, 0.094275, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.321655, 0.375432, 0.053819, 0.773122, -0.393669, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.123730, 0.879484, 0.145704, -0.380069, 0.213344, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.152091, -0.197963, 0.963310, 0.015366, 0.097348, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.193285, -0.045715, -0.135627, 0.401262, 0.883824, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[111.308958, 120.591744, 122.334659, 128.037598, 461.442010], [39.511363, 43.060747, 44.048065, 45.371058, 109.876630], [15.549204, 16.693779, 17.493493, 17.538764, 17.700184], [19.430433, 19.762768, 19.902513, 21.253084, 37.075769], [23.594379, 26.030920, 26.278604, 27.232272, 86.593620]]
### 6
mean: [3.223936, -0.820430, -1.691576, 2.364728, -4.540665]
std: [4.684850, 1.095532, 3.310043, 3.303565, 6.559025]
pca: [[-0.499286, 0.524458, -0.505409, 0.411652, -0.225304, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.116337, -0.504713, -0.071040, 0.821500, 0.227645, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.352661, 0.551258, 0.621888, 0.391735, -0.177609, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.352119, 0.262099, 0.222861, -0.011019, 0.870361, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.699158, 0.312454, -0.550549, -0.045867, 0.329155, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[75.296218, 76.081602, 79.469482, 86.976592, 290.154276], [17.320867, 17.606474, 18.392966, 20.359823, 73.838720], [53.367579, 56.425200, 58.365056, 61.201211, 152.241796], [53.457742, 53.567875, 56.073284, 61.121783, 212.825504], [105.036061, 108.988475, 113.206918, 121.043754, 408.659843]]
### 8
mean: [-0.261019, -0.476903, -0.665888, 1.921526, 3.690918]
std: [0.250873, 0.981320, 1.712056, 3.162868, 5.266228]
pca: [[-0.031118, 0.744041, -0.496898, 0.375982, -0.239093, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.151656, 0.352040, -0.021400, -0.159091, 0.909561, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.265190, 0.178067, 0.733115, 0.600354, 0.009120, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.489926, -0.381690, -0.269780, 0.653935, 0.337451, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.815891, 0.380889, 0.377353, -0.212772, -0.039720, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.920336, 4.196553, 4.827192, 5.336269, 23.491746], [15.476276, 15.723602, 16.487795, 18.281977, 42.921240], [27.304973, 28.082706, 28.701430, 31.859513, 59.929959], [50.503464, 51.626457, 52.876098, 58.920737, 172.937347], [83.735219, 85.071317, 90.892541, 97.904061, 332.182583]]
### 10
mean: [-3.188064]
std: [4.779999]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[75.998407, 77.614275, 83.538876, 88.695019, 286.925786]]
## 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.
no_repeats
|
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0.0], "fourier": [50.503464315926756, 51.626456555117066, 52.87609771675657, 58.92073669484729, 172.93734706938267]}, "4": {"mean": 3.690917730331421, "std": 5.266227722167969, "pca": [0.815891444683075, 0.3808886706829071, 0.37735316157341003, -0.21277198195457458, -0.03972003608942032, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [83.7352189926826, 85.07131713840145, 90.89254104163838, 97.90406140004775, 332.18258259259164]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "10": {"neuron_profiles": {"0": {"mean": -3.1880643367767334, "std": 4.779998779296875, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [75.99840741664742, 77.61427516089489, 83.53887625983265, 88.69501880825649, 286.9257857128978]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "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": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.213608, -0.10768, -0.018998, -0.202158, -0.564475], [0.686307, -0.000489, 0.040728, -0.060951, -0.383043], [0.096115, -0.279602, -0.056601, -0.0753, -0.333196], [0.225542, 0.277891, 0.199997, -0.298987, -0.849715], [0.731829, 0.361793, -0.174254, -0.035828, -0.501698]], "network.0.bias": [-0.495588, 0.6577, -0.311324, -0.006317, 0.120231], "network.2.weight": [[-0.777492, 0.952918, -0.496512, 0.504791, 0.748544], [-0.813018, 0.686413, -0.493743, 0.169767, 0.770587], [0.745567, -0.612887, 0.23074, 0.149615, -0.210704], [-0.636297, 0.362492, -0.022205, 0.140219, 0.629786], [-0.77338, 0.802613, -0.438096, -0.075608, 0.810284]], "network.2.bias": [-0.056413, 0.459976, 0.615019, -0.0692, 0.524722], "network.4.weight": [[0.85911, 0.79542, -0.757767, 0.650022, 0.833659], [-0.502733, -0.225247, 0.522683, -0.527185, 0.088956], [-0.737159, 0.145813, 0.510154, -0.042101, 0.355576], [-0.013233, 0.11538, 0.750247, -0.638885, -0.152425], [-0.218089, 0.073183, 0.210857, -0.36025, -0.223301]], "network.4.bias": [-0.214794, 0.373323, 0.114085, 0.198916, 0.063208], "network.6.weight": [[0.64464, -0.433164, -0.892858, -0.355995, -0.675137], [-0.144893, 0.489813, 0.089102, 0.241958, -0.102898], [-0.461833, -0.070066, 0.711667, 0.069731, -0.371491], [0.458305, -0.382596, -0.254673, -0.392603, -0.326568], [-0.920005, 0.321964, 0.401309, 0.629832, 0.356664]], "network.6.bias": [0.069564, -0.157808, 0.567556, 0.100146, 0.057548], "network.8.weight": [[0.196713, 0.235355, 0.298313, -0.319013, 0.209033], [0.011874, -0.012302, 0.255363, -0.29967, 0.198036], [-0.592576, 0.35207, -0.03668, 0.319026, 0.394919], [0.2073, 0.279859, -0.583465, 0.639931, -0.404818], [0.578913, -0.170231, -0.629841, 0.767672, 0.042215]], "network.8.bias": [-0.203338, 0.139406, 0.527797, -0.145816, 0.039289], "network.10.weight": [[0.090384, 0.163519, 0.349938, -0.380323, -0.681713]], "network.10.bias": [0.090485]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6881108283996582, "train_acc": 0.555, "val_loss": 0.7000898718833923, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6903734803199768, "train_acc": 0.57, "val_loss": 0.7059533596038818, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6778157353401184, "train_acc": 0.57, "val_loss": 0.7034038305282593, "val_acc": 0.46}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6737668812274933, "train_acc": 0.57, "val_loss": 0.6892226934432983, "val_acc": 0.46}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6560121178627014, "train_acc": 0.57, "val_loss": 0.6600756645202637, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6507749855518341, "train_acc": 0.51, "val_loss": 0.5878023505210876, "val_acc": 0.46}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.6043827533721924, "train_acc": 0.51, "val_loss": 0.5292637348175049, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.5693421363830566, "train_acc": 0.69, "val_loss": 0.4630002975463867, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.5227624773979187, "train_acc": 0.725, "val_loss": 0.42519164085388184, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.500781238079071, "train_acc": 0.73, "val_loss": 0.39624884724617004, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.5009819269180298, "train_acc": 0.735, "val_loss": 0.37900084257125854, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.48316049575805664, "train_acc": 0.745, "val_loss": 0.3844010829925537, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.476566806435585, "train_acc": 0.745, "val_loss": 0.38864338397979736, "val_acc": 0.84}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.45426440238952637, "train_acc": 0.755, "val_loss": 0.4323972761631012, "val_acc": 0.76}], "summary": {"total_epochs": 14, "degraded_epochs": 5, "improved_epochs": 9, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.7000898718833923, "final_val_loss": 0.6600756645202637, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.5878023505210876, "final_val_loss": 0.4323972761631012, "initial_val_acc": 0.46, "final_val_acc": 0.76, "best_val_acc": 0.84, "best_epoch": 8}, "improvement": 0.37999999999999995, "first_improvement_epoch": 4}}
|
9,410
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.46, "improved_accuracy": 0.92, "improvement": 0.46, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9633, "learning_rate": 0.0824493447873324, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "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: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
0.268724,
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0.200321,
0.163633,
-0.577767
],
[
0.210896,
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0.354399,
0.124502,
-0.806214
],
[
0.659694,
0.055838,
-0.173329,
-0.194903,
1.008165
],
[
-0.829657,
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-0.60565,
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0.310332
],
[
-0.377052,
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0.301721,
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0.705977
],
[
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-0.589686
]
],
"network.0.bias": [
0.054955,
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],
"network.2.weight": [
[
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],
[
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0.249407,
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[
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],
[
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0.061837
],
[
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0.105,
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],
[
0.261658,
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]
],
"network.2.bias": [
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],
"network.4.weight": [
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[
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[
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[
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[
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[
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],
"network.4.bias": [
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"network.6.weight": [
[
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[
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[
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[
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[
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[
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],
"network.6.bias": [
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"network.8.weight": [
[
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[
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[
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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.10.bias": [
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]
}
## Activation Signature
### 0
mean: [-0.143292, 1.118536, 1.888106, -2.859576, 2.014950, -0.478245]
std: [1.107042, 1.953997, 2.400302, 2.342735, 1.971432, 1.279155]
pca: [[0.315789, -0.011744, -0.038687, 0.423323, 0.819714, -0.217966, 0.000000, 0.000000, 0.000000, 0.000000], [0.543571, -0.222787, 0.320223, -0.498524, 0.196868, 0.514851, 0.000000, 0.000000, 0.000000, 0.000000], [-0.472058, -0.627411, -0.406913, 0.009235, 0.253162, 0.392125, 0.000000, 0.000000, 0.000000, 0.000000], [-0.322010, 0.735307, -0.135597, -0.185109, 0.339078, 0.433598, 0.000000, 0.000000, 0.000000, 0.000000], [-0.432411, -0.088433, 0.835114, 0.283042, 0.094890, 0.136630, 0.000000, 0.000000, 0.000000, 0.000000], [0.302159, 0.089923, -0.120746, 0.676615, -0.318187, 0.571824, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.196314, 17.160017, 20.524601, 20.604290, 21.969128], [29.505731, 30.985283, 32.961988, 35.328249, 100.668270], [40.441299, 42.525906, 50.337579, 52.070705, 169.929507], [39.109099, 40.659676, 45.311249, 45.386215, 257.361887], [30.424775, 32.970566, 33.286496, 34.236758, 181.345475], [19.632067, 21.123907, 22.409311, 25.382416, 43.042064]]
### 2
mean: [0.997315, -1.072821, -0.236431, 0.673134, 0.212308, -1.588991]
std: [1.452862, 1.414271, 1.487775, 1.454608, 1.578642, 1.217241]
pca: [[0.490259, -0.195458, 0.020519, 0.040747, 0.453546, 0.716699, 0.000000, 0.000000, 0.000000, 0.000000], [-0.310446, -0.571979, -0.391685, 0.432107, -0.390204, 0.289950, 0.000000, 0.000000, 0.000000, 0.000000], [-0.103852, 0.796389, -0.264803, 0.308176, -0.184250, 0.394890, 0.000000, 0.000000, 0.000000, 0.000000], [0.500910, 0.012087, 0.021717, 0.748221, 0.072297, -0.428265, 0.000000, 0.000000, 0.000000, 0.000000], [-0.497008, -0.002246, 0.730818, 0.384253, 0.211551, 0.162722, 0.000000, 0.000000, 0.000000, 0.000000], [-0.393136, 0.015791, -0.491400, 0.095744, 0.747066, -0.190906, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.608004, 24.379658, 25.901253, 34.998945, 89.758317], [23.256199, 26.778444, 27.437878, 28.687150, 96.553921], [21.837020, 21.999467, 23.060586, 23.736037, 25.898837], [21.569257, 24.608968, 27.910031, 32.572897, 60.582077], [22.328561, 22.344596, 23.591133, 31.547434, 33.414035], [18.447302, 21.462382, 24.672116, 27.892827, 143.009171]]
### 4
mean: [-0.067017, 0.436813, 0.753330, -0.407795, -0.003497, -0.314892]
std: [1.132597, 1.274390, 0.926211, 0.979601, 1.021029, 0.397777]
pca: [[-0.396258, 0.836880, -0.245696, 0.160507, -0.023447, -0.236502, 0.000000, 0.000000, 0.000000, 0.000000], [0.543033, 0.333146, -0.438115, -0.185815, 0.174205, 0.580783, 0.000000, 0.000000, 0.000000, 0.000000], [0.390262, 0.277289, 0.617038, 0.566802, 0.258356, 0.045360, 0.000000, 0.000000, 0.000000, 0.000000], [-0.426155, 0.071371, 0.329308, -0.427352, 0.671163, 0.267890, 0.000000, 0.000000, 0.000000, 0.000000], [-0.444717, -0.072202, 0.055450, 0.381893, -0.348414, 0.725744, 0.000000, 0.000000, 0.000000, 0.000000], [-0.128098, -0.318511, -0.505405, 0.538492, 0.574894, -0.078933, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.670570, 19.438704, 20.204417, 22.789005, 25.146848], [19.594925, 21.910768, 26.157470, 30.391655, 39.313155], [14.824906, 15.658591, 19.173758, 21.746998, 67.799705], [16.335931, 20.147961, 20.637149, 21.411845, 36.701544], [15.511325, 17.348675, 19.245196, 21.934288, 23.279737], [5.712730, 5.992833, 7.474707, 9.024217, 28.340319]]
### 6
mean: [0.318105, 0.501277, -0.038875, 0.392119, -0.010193, 0.107688]
std: [0.387256, 1.436197, 0.871798, 0.704511, 1.475750, 1.156632]
pca: [[-0.145703, 0.159787, -0.213008, 0.357094, 0.671817, 0.573596, 0.000000, 0.000000, 0.000000, 0.000000], [0.530098, 0.804607, 0.088221, -0.237261, 0.086189, -0.009965, 0.000000, 0.000000, 0.000000, 0.000000], [0.325983, -0.404627, 0.489240, -0.225118, 0.626861, -0.216850, 0.000000, 0.000000, 0.000000, 0.000000], [-0.270704, 0.056535, 0.659184, -0.276311, -0.228784, 0.600258, 0.000000, 0.000000, 0.000000, 0.000000], [0.569375, -0.169043, 0.251106, 0.679143, -0.288200, 0.199719, 0.000000, 0.000000, 0.000000, 0.000000], [0.440492, -0.362741, -0.458160, -0.477421, -0.113482, 0.472935, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.236570, 7.525113, 7.619929, 8.293817, 28.629493], [23.292495, 26.115327, 30.250278, 33.607200, 45.114908], [11.950052, 12.119809, 16.305549, 16.761403, 18.917991], [10.889988, 13.856944, 14.144117, 15.008311, 35.290731], [20.428743, 21.856541, 30.019886, 30.541612, 31.139717], [15.700479, 16.809207, 22.318070, 23.589409, 23.738093]]
### 8
mean: [-0.073753, 0.211287, 0.903657, 0.055943, 0.260532, 0.917469]
std: [0.879481, 0.619332, 1.842843, 0.864526, 0.642719, 1.826014]
pca: [[-0.291145, 0.411631, 0.035938, 0.786948, 0.285379, 0.209226, 0.000000, 0.000000, 0.000000, 0.000000], [-0.205910, 0.186794, 0.293397, -0.471662, 0.783685, 0.000682, 0.000000, 0.000000, 0.000000, 0.000000], [0.614794, -0.302607, 0.252310, 0.364461, 0.358947, -0.452904, 0.000000, 0.000000, 0.000000, 0.000000], [0.280947, 0.705603, 0.504962, -0.113300, -0.351448, -0.178478, 0.000000, 0.000000, 0.000000, 0.000000], [-0.209958, -0.445883, 0.763088, 0.089109, -0.181262, 0.366069, 0.000000, 0.000000, 0.000000, 0.000000], [0.609796, 0.086084, -0.108057, -0.068109, 0.138501, 0.765010, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.588962, 14.340808, 15.222645, 17.334672, 20.644796], [10.309458, 10.520234, 12.212486, 14.709886, 19.015849], [31.135864, 31.215742, 37.727297, 43.186052, 81.329108], [13.496955, 13.830579, 16.691076, 18.194186, 18.777937], [9.833573, 13.080848, 13.205917, 14.713614, 23.447912], [30.541742, 32.529468, 37.598870, 42.548397, 82.572178]]
### 10
mean: [-0.803512]
std: [1.474305]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.177252, 25.705442, 29.609037, 34.170573, 72.316037]]
## 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.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
0.268724,
-0.323467,
0.200321,
0.163633,
-0.577767
],
[
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0.354399,
0.124502,
-0.806214
],
[
0.659694,
0.055838,
-0.173329,
-0.194903,
1.008165
],
[
-0.829657,
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-0.60565,
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0.310332
],
[
-0.377052,
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0.504949,
0.705977
],
[
0.179365,
-0.521315,
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0.091541,
-0.589686
]
],
"network.0.bias": [
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-0.041806,
0.502024,
-0.429587,
0.007926,
0.229506
],
"network.2.weight": [
[
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0.249407,
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[
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[
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0.061837
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[
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0.066313,
0.105,
0.375081
],
[
0.261658,
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]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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],
[
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],
[
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],
[
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]
],
"network.4.bias": [
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"network.6.weight": [
[
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[
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]
],
"network.6.bias": [
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0.054619,
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],
"network.8.weight": [
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],
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]
],
"network.8.bias": [
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],
"network.10.weight": [
[
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0.251713,
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],
"network.10.bias": [
-0.285
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}
## Activation Signature
### 0
mean: [-0.143292, 1.118536, 1.888106, -2.859576, 2.014950, -0.478245]
std: [1.107042, 1.953997, 2.400302, 2.342735, 1.971432, 1.279155]
pca: [[0.315789, -0.011744, -0.038687, 0.423323, 0.819714, -0.217966, 0.000000, 0.000000, 0.000000, 0.000000], [0.543571, -0.222787, 0.320223, -0.498524, 0.196868, 0.514851, 0.000000, 0.000000, 0.000000, 0.000000], [-0.472058, -0.627411, -0.406913, 0.009235, 0.253162, 0.392125, 0.000000, 0.000000, 0.000000, 0.000000], [-0.322010, 0.735307, -0.135597, -0.185109, 0.339078, 0.433598, 0.000000, 0.000000, 0.000000, 0.000000], [-0.432411, -0.088433, 0.835114, 0.283042, 0.094890, 0.136630, 0.000000, 0.000000, 0.000000, 0.000000], [0.302159, 0.089923, -0.120746, 0.676615, -0.318187, 0.571824, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.196314, 17.160017, 20.524601, 20.604290, 21.969128], [29.505731, 30.985283, 32.961988, 35.328249, 100.668270], [40.441299, 42.525906, 50.337579, 52.070705, 169.929507], [39.109099, 40.659676, 45.311249, 45.386215, 257.361887], [30.424775, 32.970566, 33.286496, 34.236758, 181.345475], [19.632067, 21.123907, 22.409311, 25.382416, 43.042064]]
### 2
mean: [0.997315, -1.072821, -0.236431, 0.673134, 0.212308, -1.588991]
std: [1.452862, 1.414271, 1.487775, 1.454608, 1.578642, 1.217241]
pca: [[0.490259, -0.195458, 0.020519, 0.040747, 0.453546, 0.716699, 0.000000, 0.000000, 0.000000, 0.000000], [-0.310446, -0.571979, -0.391685, 0.432107, -0.390204, 0.289950, 0.000000, 0.000000, 0.000000, 0.000000], [-0.103852, 0.796389, -0.264803, 0.308176, -0.184250, 0.394890, 0.000000, 0.000000, 0.000000, 0.000000], [0.500910, 0.012087, 0.021717, 0.748221, 0.072297, -0.428265, 0.000000, 0.000000, 0.000000, 0.000000], [-0.497008, -0.002246, 0.730818, 0.384253, 0.211551, 0.162722, 0.000000, 0.000000, 0.000000, 0.000000], [-0.393136, 0.015791, -0.491400, 0.095744, 0.747066, -0.190906, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.608004, 24.379658, 25.901253, 34.998945, 89.758317], [23.256199, 26.778444, 27.437878, 28.687150, 96.553921], [21.837020, 21.999467, 23.060586, 23.736037, 25.898837], [21.569257, 24.608968, 27.910031, 32.572897, 60.582077], [22.328561, 22.344596, 23.591133, 31.547434, 33.414035], [18.447302, 21.462382, 24.672116, 27.892827, 143.009171]]
### 4
mean: [-0.067017, 0.436813, 0.753330, -0.407795, -0.003497, -0.314892]
std: [1.132597, 1.274390, 0.926211, 0.979601, 1.021029, 0.397777]
pca: [[-0.396258, 0.836880, -0.245696, 0.160507, -0.023447, -0.236502, 0.000000, 0.000000, 0.000000, 0.000000], [0.543033, 0.333146, -0.438115, -0.185815, 0.174205, 0.580783, 0.000000, 0.000000, 0.000000, 0.000000], [0.390262, 0.277289, 0.617038, 0.566802, 0.258356, 0.045360, 0.000000, 0.000000, 0.000000, 0.000000], [-0.426155, 0.071371, 0.329308, -0.427352, 0.671163, 0.267890, 0.000000, 0.000000, 0.000000, 0.000000], [-0.444717, -0.072202, 0.055450, 0.381893, -0.348414, 0.725744, 0.000000, 0.000000, 0.000000, 0.000000], [-0.128098, -0.318511, -0.505405, 0.538492, 0.574894, -0.078933, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.670570, 19.438704, 20.204417, 22.789005, 25.146848], [19.594925, 21.910768, 26.157470, 30.391655, 39.313155], [14.824906, 15.658591, 19.173758, 21.746998, 67.799705], [16.335931, 20.147961, 20.637149, 21.411845, 36.701544], [15.511325, 17.348675, 19.245196, 21.934288, 23.279737], [5.712730, 5.992833, 7.474707, 9.024217, 28.340319]]
### 6
mean: [0.318105, 0.501277, -0.038875, 0.392119, -0.010193, 0.107688]
std: [0.387256, 1.436197, 0.871798, 0.704511, 1.475750, 1.156632]
pca: [[-0.145703, 0.159787, -0.213008, 0.357094, 0.671817, 0.573596, 0.000000, 0.000000, 0.000000, 0.000000], [0.530098, 0.804607, 0.088221, -0.237261, 0.086189, -0.009965, 0.000000, 0.000000, 0.000000, 0.000000], [0.325983, -0.404627, 0.489240, -0.225118, 0.626861, -0.216850, 0.000000, 0.000000, 0.000000, 0.000000], [-0.270704, 0.056535, 0.659184, -0.276311, -0.228784, 0.600258, 0.000000, 0.000000, 0.000000, 0.000000], [0.569375, -0.169043, 0.251106, 0.679143, -0.288200, 0.199719, 0.000000, 0.000000, 0.000000, 0.000000], [0.440492, -0.362741, -0.458160, -0.477421, -0.113482, 0.472935, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.236570, 7.525113, 7.619929, 8.293817, 28.629493], [23.292495, 26.115327, 30.250278, 33.607200, 45.114908], [11.950052, 12.119809, 16.305549, 16.761403, 18.917991], [10.889988, 13.856944, 14.144117, 15.008311, 35.290731], [20.428743, 21.856541, 30.019886, 30.541612, 31.139717], [15.700479, 16.809207, 22.318070, 23.589409, 23.738093]]
### 8
mean: [-0.073753, 0.211287, 0.903657, 0.055943, 0.260532, 0.917469]
std: [0.879481, 0.619332, 1.842843, 0.864526, 0.642719, 1.826014]
pca: [[-0.291145, 0.411631, 0.035938, 0.786948, 0.285379, 0.209226, 0.000000, 0.000000, 0.000000, 0.000000], [-0.205910, 0.186794, 0.293397, -0.471662, 0.783685, 0.000682, 0.000000, 0.000000, 0.000000, 0.000000], [0.614794, -0.302607, 0.252310, 0.364461, 0.358947, -0.452904, 0.000000, 0.000000, 0.000000, 0.000000], [0.280947, 0.705603, 0.504962, -0.113300, -0.351448, -0.178478, 0.000000, 0.000000, 0.000000, 0.000000], [-0.209958, -0.445883, 0.763088, 0.089109, -0.181262, 0.366069, 0.000000, 0.000000, 0.000000, 0.000000], [0.609796, 0.086084, -0.108057, -0.068109, 0.138501, 0.765010, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.588962, 14.340808, 15.222645, 17.334672, 20.644796], [10.309458, 10.520234, 12.212486, 14.709886, 19.015849], [31.135864, 31.215742, 37.727297, 43.186052, 81.329108], [13.496955, 13.830579, 16.691076, 18.194186, 18.777937], [9.833573, 13.080848, 13.205917, 14.713614, 23.447912], [30.541742, 32.529468, 37.598870, 42.548397, 82.572178]]
### 10
mean: [-0.803512]
std: [1.474305]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.177252, 25.705442, 29.609037, 34.170573, 72.316037]]
## 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.
ends_with
|
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"model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.268724, -0.323467, 0.200321, 0.163633, -0.577767], [0.210896, 0.485635, 0.354399, 0.124502, -0.806214], [0.659694, 0.055838, -0.173329, -0.194903, 1.008165], [-0.829657, -0.083637, -0.60565, -0.169149, 0.310332], [-0.377052, -0.059026, 0.301721, 0.504949, 0.705977], [0.179365, -0.521315, 0.263281, 0.091541, -0.589686]], "network.0.bias": [0.054955, -0.041806, 0.502024, -0.429587, 0.007926, 0.229506], "network.2.weight": [[-0.055015, -0.343719, 0.366458, -0.142673, 0.30228, -0.384562], [-0.124396, -0.310066, -0.63015, -0.311263, 0.249407, -0.023359], [0.343852, 0.243301, 0.352497, 0.436152, -0.763494, 0.38756], [0.119648, -0.32278, 0.519552, -0.01086, 0.126964, 0.061837], [0.561174, 0.547699, -0.462009, 0.066313, 0.105, 0.375081], [0.261658, -0.031597, -0.385122, -0.64364, -0.260333, -0.173099]], "network.2.bias": [0.218551, 0.088936, 0.173496, -0.182219, -0.059354, -0.32603], "network.4.weight": [[-0.179014, -0.617804, -0.850483, -0.022546, 0.693252, -0.015711], [0.501652, -0.240044, 0.280341, 0.370144, -0.153063, 0.093625], [0.233558, 0.032722, 0.241133, 0.463899, 0.002934, -0.097652], [-0.304509, -0.371779, -0.39597, -0.266209, 0.32608, 0.471753], [-0.400053, 0.162728, -0.37658, -0.231999, 0.205243, -0.263172], [-0.247091, 0.560967, -0.032942, -0.100151, -0.187558, 0.408875]], "network.4.bias": [-0.045869, -0.354659, 0.054975, 0.069959, 0.557042, 0.208873], "network.6.weight": [[0.403749, 0.034353, -0.197594, 0.061521, -0.004323, -0.017332], [-0.023682, 0.487032, 0.671814, -0.528195, -0.582446, 0.06707], [-0.800676, 0.212159, 0.070896, -0.076101, -0.282465, 0.761226], [0.185029, -0.313288, 0.081297, 0.260121, 0.71271, 0.401241], [-0.937328, 0.553774, 0.113743, -0.4153, -0.512177, -0.054961], [-0.67961, 0.231767, 0.135024, -0.321716, -0.814042, -0.112972]], "network.6.bias": [0.305521, -0.014856, 0.174218, 0.256814, 0.054619, 0.349271], "network.8.weight": [[0.198818, -0.323283, -0.264497, -0.047126, -0.023836, -0.645241], [0.055134, -0.083835, -0.438994, 0.168176, -0.401819, 0.042376], [-0.014999, 0.255265, 0.115221, -0.76091, 1.096224, 0.555976], [-0.647228, -0.067758, 0.137181, -0.460384, 0.363974, 0.403548], [0.661454, -0.390522, -0.382028, 0.213033, 0.143396, 0.180187], [-0.55987, 0.406547, 0.345679, -0.626659, 0.671764, 0.532414]], "network.8.bias": [0.466329, 0.457281, 0.237105, 0.0719, 0.223824, 0.392394], "network.10.weight": [[0.371036, 0.456559, -0.348901, -0.218727, 0.251713, -0.308843]], "network.10.bias": [-0.285]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6899936497211456, "train_acc": 0.575, "val_loss": 0.7214950323104858, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6815592646598816, "train_acc": 0.575, "val_loss": 0.6787348985671997, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6158301830291748, "train_acc": 0.58, "val_loss": 0.7855004072189331, "val_acc": 0.46}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6134621798992157, "train_acc": 0.625, "val_loss": 0.2865090072154999, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.474902018904686, "train_acc": 0.815, "val_loss": 0.3350315988063812, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.4207373410463333, "train_acc": 0.825, "val_loss": 0.3619799315929413, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3858615905046463, "train_acc": 0.855, "val_loss": 0.34280651807785034, "val_acc": 0.92}], "summary": {"total_epochs": 7, "degraded_epochs": 2, "improved_epochs": 5, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.7214950323104858, "final_val_loss": 0.6787348985671997, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.7855004072189331, "final_val_loss": 0.34280651807785034, "initial_val_acc": 0.46, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 4}, "improvement": 0.46, "first_improvement_epoch": 1}}
|
9,411
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.44, "improved_accuracy": 0.96, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6112, "learning_rate": 0.029759849472664822, "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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0.4655
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[
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[
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0.370928
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[
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[
0.134662,
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## Activation Signature
### 0
mean: [0.930628, 2.134231, 0.879400, 1.169692, -0.987020, -3.831567, 1.049595, 1.294914]
std: [1.394825, 1.539928, 1.424869, 0.869692, 1.126661, 2.552282, 1.472841, 1.904225]
pca: [[-0.138386, 0.433040, -0.352744, 0.301999, 0.221285, 0.707518, 0.022037, 0.166312, 0.000000, 0.000000], [-0.396400, 0.016265, -0.551575, -0.482064, 0.464962, -0.280806, -0.064692, -0.082191, 0.000000, 0.000000], [-0.221814, 0.429083, -0.146198, 0.271436, -0.289642, -0.526132, 0.281024, 0.481615, 0.000000, 0.000000], [-0.181046, -0.179116, 0.179799, 0.350134, 0.430341, -0.071917, 0.707391, -0.299083, 0.000000, 0.000000], [0.282069, -0.202195, 0.207340, -0.221028, 0.448739, 0.055326, 0.128621, 0.752821, 0.000000, 0.000000], [0.756082, 0.227599, -0.320696, 0.244526, 0.285417, -0.296171, -0.075623, -0.197487, 0.000000, 0.000000], [-0.261484, -0.390774, -0.027872, 0.605681, 0.229867, -0.174038, -0.553194, 0.148808, 0.000000, 0.000000], [-0.148799, 0.592139, 0.609116, -0.068145, 0.360679, -0.132331, -0.296087, -0.127658, 0.000000, 0.000000]]
fourier: [[20.000050, 20.228791, 25.543303, 26.312444, 83.756480], [25.948904, 26.637963, 29.876181, 30.381575, 192.080809], [20.415801, 21.755934, 23.415138, 25.489280, 79.146026], [13.576387, 13.989764, 15.043487, 16.424091, 105.272246], [17.463542, 17.938661, 19.513198, 19.528647, 88.831810], [39.614028, 39.948333, 45.897377, 53.120736, 344.841068], [24.082935, 25.977415, 26.135517, 34.119209, 94.463594], [27.300341, 27.668602, 27.788493, 36.784804, 116.542274]]
### 2
mean: [0.657899, 0.910321, 0.397056, 0.897765, 1.625554, 3.148073, 1.384652, -0.119495]
std: [0.875297, 1.334030, 0.682195, 1.185057, 2.041023, 2.332132, 1.002330, 1.025503]
pca: [[-0.161077, 0.429448, 0.047965, -0.176365, 0.143970, -0.010980, 0.742632, -0.428804, 0.000000, 0.000000], [-0.270061, 0.585083, 0.314768, 0.039699, 0.090049, -0.088251, -0.031920, 0.683501, 0.000000, 0.000000], [-0.138688, 0.199046, 0.483369, 0.360392, -0.508530, 0.388644, -0.194719, -0.360634, 0.000000, 0.000000], [0.294689, -0.117018, 0.720448, -0.130401, 0.450594, -0.298626, -0.160690, -0.213031, 0.000000, 0.000000], [0.559554, -0.016522, 0.041318, 0.354409, 0.273101, 0.571383, 0.311087, 0.247941, 0.000000, 0.000000], [0.606445, 0.484243, -0.129163, -0.485600, -0.298262, 0.022358, -0.229508, -0.055751, 0.000000, 0.000000], [0.222949, 0.332639, -0.263066, 0.674366, 0.089155, -0.507795, -0.105342, -0.196902, 0.000000, 0.000000], [-0.253894, 0.272996, -0.241529, -0.065194, 0.581407, 0.408699, -0.472436, -0.264880, 0.000000, 0.000000]]
fourier: [[14.771379, 15.718208, 16.560576, 18.584640, 59.210907], [22.701535, 23.447846, 24.741842, 29.803325, 81.928893], [10.173808, 10.391884, 13.383432, 14.681671, 35.735037], [17.382499, 19.369629, 19.550738, 20.477919, 80.798884], [27.988218, 30.387705, 40.528501, 40.589725, 146.299834], [33.311218, 33.944174, 38.019249, 45.453560, 283.326583], [15.325993, 17.500115, 18.869617, 18.979454, 124.618644], [14.925856, 15.340081, 16.836939, 20.707570, 20.716814]]
### 4
mean: [2.337934, 0.022939, -0.428724, 2.570766, 1.790296, 1.137230, -3.540898, -0.333753]
std: [3.148394, 1.657737, 0.325768, 3.476548, 2.327421, 1.725663, 2.323249, 0.896339]
pca: [[0.511193, -0.095003, 0.208183, -0.205229, 0.666822, 0.240565, -0.272230, -0.259932, 0.000000, 0.000000], [-0.245592, -0.564830, -0.250924, -0.147086, -0.141199, 0.639891, -0.282284, 0.164235, 0.000000, 0.000000], [0.000622, 0.204077, -0.484736, 0.719927, 0.354866, 0.264959, 0.088886, 0.032476, 0.000000, 0.000000], [0.564327, 0.149745, 0.068100, 0.107298, -0.245359, 0.046014, -0.264171, 0.714742, 0.000000, 0.000000], [0.377527, 0.117072, -0.077752, 0.175981, -0.585792, 0.209576, -0.179376, -0.622498, 0.000000, 0.000000], [0.280305, 0.039134, -0.024178, -0.251621, -0.062868, 0.407647, 0.825393, 0.067806, 0.000000, 0.000000], [-0.349090, 0.739057, 0.196159, -0.224748, 0.012554, 0.447742, -0.202432, 0.036500, 0.000000, 0.000000], [-0.130153, -0.215474, 0.780373, 0.511513, -0.044922, 0.223107, 0.118708, 0.010856, 0.000000, 0.000000]]
fourier: [[42.281714, 48.898145, 60.243705, 62.769357, 210.414107], [24.951012, 26.838096, 27.618090, 34.578169, 35.151588], [5.057771, 5.074971, 5.516853, 5.985361, 38.585180], [48.305390, 55.798555, 69.888888, 71.109770, 231.368958], [32.599570, 37.592031, 47.621175, 48.090955, 161.126635], [23.538561, 28.188918, 33.874999, 35.192626, 102.350675], [33.806895, 36.211809, 38.272895, 44.497188, 318.680803], [13.861996, 16.985270, 18.045076, 18.294065, 30.037756]]
### 6
mean: [4.511710, 3.398770, -3.170697, 2.676889, 3.498680, 3.229792, 1.747647, 0.504737]
std: [4.761452, 3.603159, 3.496946, 3.032984, 3.885093, 3.511509, 1.606823, 1.017878]
pca: [[0.508464, -0.057636, 0.041185, -0.327914, -0.523271, -0.096099, 0.199538, 0.553223, 0.000000, 0.000000], [0.384355, 0.259402, -0.169662, 0.014598, 0.661067, -0.202845, -0.335864, 0.406230, 0.000000, 0.000000], [-0.372327, -0.411678, 0.332516, 0.195738, 0.077699, 0.344896, -0.226359, 0.605628, 0.000000, 0.000000], [0.321932, -0.513778, -0.082369, 0.514376, -0.218713, -0.373352, -0.379130, -0.173373, 0.000000, 0.000000], [0.414399, -0.288838, -0.237114, 0.265265, 0.263336, 0.555533, 0.485775, -0.065712, 0.000000, 0.000000], [0.374895, -0.087552, 0.448655, -0.399671, 0.043345, 0.396269, -0.458478, -0.348784, 0.000000, 0.000000], [0.165910, 0.629286, 0.284711, 0.592067, -0.277098, 0.244897, -0.074758, 0.050226, 0.000000, 0.000000], [0.108025, -0.094073, 0.716654, 0.093362, 0.295462, -0.407005, 0.447922, -0.059891, 0.000000, 0.000000]]
fourier: [[63.374133, 68.791044, 94.440825, 94.592401, 406.053925], [48.998290, 52.537287, 69.409462, 70.323862, 305.889280], [48.109626, 51.400378, 65.827494, 67.874773, 285.362720], [42.452211, 43.424274, 61.271990, 62.656873, 240.919998], [53.470095, 55.022405, 77.519265, 78.178084, 314.881262], [46.537899, 50.897557, 69.995997, 70.691177, 290.681307], [22.991207, 24.489082, 27.116436, 29.339728, 157.288229], [14.174391, 14.735588, 20.485264, 21.634962, 45.426302]]
### 8
mean: [-0.306081, -4.913303, 7.711982, 0.608765, 6.931806, 9.703877, -6.196614, -4.670362]
std: [0.090676, 5.322683, 7.665207, 0.918724, 6.899045, 9.507435, 6.435104, 4.862608]
pca: [[-0.002030, -0.516272, -0.210516, 0.549407, 0.364997, -0.443968, -0.173969, 0.163394, 0.000000, 0.000000], [-0.312039, -0.267208, 0.005895, -0.394638, -0.198073, 0.008080, -0.158916, 0.781604, 0.000000, 0.000000], [0.449366, -0.320048, 0.466924, -0.188702, -0.178147, -0.412084, 0.489463, 0.029818, 0.000000, 0.000000], [0.053508, 0.692924, -0.166886, 0.215220, 0.038076, -0.386278, 0.307711, 0.444384, 0.000000, 0.000000], [0.404458, -0.038012, -0.321661, -0.451624, 0.678823, 0.186122, 0.133011, 0.120020, 0.000000, 0.000000], [0.557380, 0.113405, 0.395694, 0.331110, -0.001040, 0.368258, -0.398462, 0.340402, 0.000000, 0.000000], [-0.377259, -0.107369, 0.325500, 0.307287, 0.316065, 0.447754, 0.566604, 0.156047, 0.000000, 0.000000], [-0.285047, 0.231636, 0.586336, -0.229045, 0.483382, -0.336250, -0.335734, -0.096966, 0.000000, 0.000000]]
fourier: [[1.520607, 1.651282, 1.774614, 1.898510, 27.547283], [71.904576, 78.483238, 103.428478, 103.469967, 442.197271], [103.906315, 113.843243, 148.207148, 148.603572, 694.078344], [12.556455, 13.024282, 18.212307, 18.721200, 54.788894], [93.511857, 102.382636, 133.054613, 134.140400, 623.862501], [128.626207, 140.692546, 184.468931, 184.488770, 873.348974], [87.172909, 95.260995, 124.354830, 125.022650, 557.695296], [66.416033, 71.703367, 93.094840, 94.002522, 420.332559]]
### 10
mean: [-4.730598, -3.060352, -7.670241, 13.563696, -6.855470, -3.581622, -2.673180, 10.104717]
std: [5.198563, 3.238673, 8.140945, 13.558979, 7.165780, 3.950413, 3.205856, 10.219350]
pca: [[-0.239924, 0.351883, -0.570273, 0.472092, -0.431260, -0.020776, -0.266324, 0.114835, 0.000000, 0.000000], [-0.149422, 0.302148, 0.719282, 0.431202, 0.053875, -0.290260, -0.207419, 0.230003, 0.000000, 0.000000], [-0.375833, 0.224777, 0.147666, -0.014375, -0.355210, -0.000428, 0.793034, -0.176455, 0.000000, 0.000000], [0.625938, 0.473773, -0.090162, -0.139261, -0.026677, -0.050444, 0.281104, 0.523394, 0.000000, 0.000000], [-0.330807, -0.227359, -0.226866, 0.305919, 0.565187, 0.104501, 0.322066, 0.509644, 0.000000, 0.000000], [-0.182156, 0.503764, 0.109767, -0.146312, 0.246472, 0.765342, -0.160458, -0.085677, 0.000000, 0.000000], [-0.147783, 0.452133, -0.252083, -0.188289, 0.512948, -0.537646, -0.003090, -0.350069, 0.000000, 0.000000], [0.471812, 0.001839, -0.020601, 0.648959, 0.202301, 0.164441, 0.220555, -0.489089, 0.000000, 0.000000]]
fourier: [[69.696874, 77.043732, 101.287713, 101.858477, 425.753821], [43.125641, 48.025479, 63.471832, 63.733351, 275.431641], [109.540962, 120.798320, 158.260711, 159.011373, 690.321685], [183.859531, 200.829133, 262.182435, 262.808008, 1220.732717], [97.184342, 106.087730, 138.499440, 138.871267, 616.992270], [52.441441, 58.703569, 77.323754, 78.021138, 322.346009], [42.535212, 47.577292, 62.723187, 63.344231, 240.586193], [137.988300, 151.649759, 198.090627, 199.008014, 909.424593]]
### 12
mean: [-8.431634]
std: [8.942714]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[118.144461, 133.752230, 175.768378, 177.232408, 758.847076]]
## 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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"network.12.weight": [
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"network.12.bias": [
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}
## Activation Signature
### 0
mean: [0.930628, 2.134231, 0.879400, 1.169692, -0.987020, -3.831567, 1.049595, 1.294914]
std: [1.394825, 1.539928, 1.424869, 0.869692, 1.126661, 2.552282, 1.472841, 1.904225]
pca: [[-0.138386, 0.433040, -0.352744, 0.301999, 0.221285, 0.707518, 0.022037, 0.166312, 0.000000, 0.000000], [-0.396400, 0.016265, -0.551575, -0.482064, 0.464962, -0.280806, -0.064692, -0.082191, 0.000000, 0.000000], [-0.221814, 0.429083, -0.146198, 0.271436, -0.289642, -0.526132, 0.281024, 0.481615, 0.000000, 0.000000], [-0.181046, -0.179116, 0.179799, 0.350134, 0.430341, -0.071917, 0.707391, -0.299083, 0.000000, 0.000000], [0.282069, -0.202195, 0.207340, -0.221028, 0.448739, 0.055326, 0.128621, 0.752821, 0.000000, 0.000000], [0.756082, 0.227599, -0.320696, 0.244526, 0.285417, -0.296171, -0.075623, -0.197487, 0.000000, 0.000000], [-0.261484, -0.390774, -0.027872, 0.605681, 0.229867, -0.174038, -0.553194, 0.148808, 0.000000, 0.000000], [-0.148799, 0.592139, 0.609116, -0.068145, 0.360679, -0.132331, -0.296087, -0.127658, 0.000000, 0.000000]]
fourier: [[20.000050, 20.228791, 25.543303, 26.312444, 83.756480], [25.948904, 26.637963, 29.876181, 30.381575, 192.080809], [20.415801, 21.755934, 23.415138, 25.489280, 79.146026], [13.576387, 13.989764, 15.043487, 16.424091, 105.272246], [17.463542, 17.938661, 19.513198, 19.528647, 88.831810], [39.614028, 39.948333, 45.897377, 53.120736, 344.841068], [24.082935, 25.977415, 26.135517, 34.119209, 94.463594], [27.300341, 27.668602, 27.788493, 36.784804, 116.542274]]
### 2
mean: [0.657899, 0.910321, 0.397056, 0.897765, 1.625554, 3.148073, 1.384652, -0.119495]
std: [0.875297, 1.334030, 0.682195, 1.185057, 2.041023, 2.332132, 1.002330, 1.025503]
pca: [[-0.161077, 0.429448, 0.047965, -0.176365, 0.143970, -0.010980, 0.742632, -0.428804, 0.000000, 0.000000], [-0.270061, 0.585083, 0.314768, 0.039699, 0.090049, -0.088251, -0.031920, 0.683501, 0.000000, 0.000000], [-0.138688, 0.199046, 0.483369, 0.360392, -0.508530, 0.388644, -0.194719, -0.360634, 0.000000, 0.000000], [0.294689, -0.117018, 0.720448, -0.130401, 0.450594, -0.298626, -0.160690, -0.213031, 0.000000, 0.000000], [0.559554, -0.016522, 0.041318, 0.354409, 0.273101, 0.571383, 0.311087, 0.247941, 0.000000, 0.000000], [0.606445, 0.484243, -0.129163, -0.485600, -0.298262, 0.022358, -0.229508, -0.055751, 0.000000, 0.000000], [0.222949, 0.332639, -0.263066, 0.674366, 0.089155, -0.507795, -0.105342, -0.196902, 0.000000, 0.000000], [-0.253894, 0.272996, -0.241529, -0.065194, 0.581407, 0.408699, -0.472436, -0.264880, 0.000000, 0.000000]]
fourier: [[14.771379, 15.718208, 16.560576, 18.584640, 59.210907], [22.701535, 23.447846, 24.741842, 29.803325, 81.928893], [10.173808, 10.391884, 13.383432, 14.681671, 35.735037], [17.382499, 19.369629, 19.550738, 20.477919, 80.798884], [27.988218, 30.387705, 40.528501, 40.589725, 146.299834], [33.311218, 33.944174, 38.019249, 45.453560, 283.326583], [15.325993, 17.500115, 18.869617, 18.979454, 124.618644], [14.925856, 15.340081, 16.836939, 20.707570, 20.716814]]
### 4
mean: [2.337934, 0.022939, -0.428724, 2.570766, 1.790296, 1.137230, -3.540898, -0.333753]
std: [3.148394, 1.657737, 0.325768, 3.476548, 2.327421, 1.725663, 2.323249, 0.896339]
pca: [[0.511193, -0.095003, 0.208183, -0.205229, 0.666822, 0.240565, -0.272230, -0.259932, 0.000000, 0.000000], [-0.245592, -0.564830, -0.250924, -0.147086, -0.141199, 0.639891, -0.282284, 0.164235, 0.000000, 0.000000], [0.000622, 0.204077, -0.484736, 0.719927, 0.354866, 0.264959, 0.088886, 0.032476, 0.000000, 0.000000], [0.564327, 0.149745, 0.068100, 0.107298, -0.245359, 0.046014, -0.264171, 0.714742, 0.000000, 0.000000], [0.377527, 0.117072, -0.077752, 0.175981, -0.585792, 0.209576, -0.179376, -0.622498, 0.000000, 0.000000], [0.280305, 0.039134, -0.024178, -0.251621, -0.062868, 0.407647, 0.825393, 0.067806, 0.000000, 0.000000], [-0.349090, 0.739057, 0.196159, -0.224748, 0.012554, 0.447742, -0.202432, 0.036500, 0.000000, 0.000000], [-0.130153, -0.215474, 0.780373, 0.511513, -0.044922, 0.223107, 0.118708, 0.010856, 0.000000, 0.000000]]
fourier: [[42.281714, 48.898145, 60.243705, 62.769357, 210.414107], [24.951012, 26.838096, 27.618090, 34.578169, 35.151588], [5.057771, 5.074971, 5.516853, 5.985361, 38.585180], [48.305390, 55.798555, 69.888888, 71.109770, 231.368958], [32.599570, 37.592031, 47.621175, 48.090955, 161.126635], [23.538561, 28.188918, 33.874999, 35.192626, 102.350675], [33.806895, 36.211809, 38.272895, 44.497188, 318.680803], [13.861996, 16.985270, 18.045076, 18.294065, 30.037756]]
### 6
mean: [4.511710, 3.398770, -3.170697, 2.676889, 3.498680, 3.229792, 1.747647, 0.504737]
std: [4.761452, 3.603159, 3.496946, 3.032984, 3.885093, 3.511509, 1.606823, 1.017878]
pca: [[0.508464, -0.057636, 0.041185, -0.327914, -0.523271, -0.096099, 0.199538, 0.553223, 0.000000, 0.000000], [0.384355, 0.259402, -0.169662, 0.014598, 0.661067, -0.202845, -0.335864, 0.406230, 0.000000, 0.000000], [-0.372327, -0.411678, 0.332516, 0.195738, 0.077699, 0.344896, -0.226359, 0.605628, 0.000000, 0.000000], [0.321932, -0.513778, -0.082369, 0.514376, -0.218713, -0.373352, -0.379130, -0.173373, 0.000000, 0.000000], [0.414399, -0.288838, -0.237114, 0.265265, 0.263336, 0.555533, 0.485775, -0.065712, 0.000000, 0.000000], [0.374895, -0.087552, 0.448655, -0.399671, 0.043345, 0.396269, -0.458478, -0.348784, 0.000000, 0.000000], [0.165910, 0.629286, 0.284711, 0.592067, -0.277098, 0.244897, -0.074758, 0.050226, 0.000000, 0.000000], [0.108025, -0.094073, 0.716654, 0.093362, 0.295462, -0.407005, 0.447922, -0.059891, 0.000000, 0.000000]]
fourier: [[63.374133, 68.791044, 94.440825, 94.592401, 406.053925], [48.998290, 52.537287, 69.409462, 70.323862, 305.889280], [48.109626, 51.400378, 65.827494, 67.874773, 285.362720], [42.452211, 43.424274, 61.271990, 62.656873, 240.919998], [53.470095, 55.022405, 77.519265, 78.178084, 314.881262], [46.537899, 50.897557, 69.995997, 70.691177, 290.681307], [22.991207, 24.489082, 27.116436, 29.339728, 157.288229], [14.174391, 14.735588, 20.485264, 21.634962, 45.426302]]
### 8
mean: [-0.306081, -4.913303, 7.711982, 0.608765, 6.931806, 9.703877, -6.196614, -4.670362]
std: [0.090676, 5.322683, 7.665207, 0.918724, 6.899045, 9.507435, 6.435104, 4.862608]
pca: [[-0.002030, -0.516272, -0.210516, 0.549407, 0.364997, -0.443968, -0.173969, 0.163394, 0.000000, 0.000000], [-0.312039, -0.267208, 0.005895, -0.394638, -0.198073, 0.008080, -0.158916, 0.781604, 0.000000, 0.000000], [0.449366, -0.320048, 0.466924, -0.188702, -0.178147, -0.412084, 0.489463, 0.029818, 0.000000, 0.000000], [0.053508, 0.692924, -0.166886, 0.215220, 0.038076, -0.386278, 0.307711, 0.444384, 0.000000, 0.000000], [0.404458, -0.038012, -0.321661, -0.451624, 0.678823, 0.186122, 0.133011, 0.120020, 0.000000, 0.000000], [0.557380, 0.113405, 0.395694, 0.331110, -0.001040, 0.368258, -0.398462, 0.340402, 0.000000, 0.000000], [-0.377259, -0.107369, 0.325500, 0.307287, 0.316065, 0.447754, 0.566604, 0.156047, 0.000000, 0.000000], [-0.285047, 0.231636, 0.586336, -0.229045, 0.483382, -0.336250, -0.335734, -0.096966, 0.000000, 0.000000]]
fourier: [[1.520607, 1.651282, 1.774614, 1.898510, 27.547283], [71.904576, 78.483238, 103.428478, 103.469967, 442.197271], [103.906315, 113.843243, 148.207148, 148.603572, 694.078344], [12.556455, 13.024282, 18.212307, 18.721200, 54.788894], [93.511857, 102.382636, 133.054613, 134.140400, 623.862501], [128.626207, 140.692546, 184.468931, 184.488770, 873.348974], [87.172909, 95.260995, 124.354830, 125.022650, 557.695296], [66.416033, 71.703367, 93.094840, 94.002522, 420.332559]]
### 10
mean: [-4.730598, -3.060352, -7.670241, 13.563696, -6.855470, -3.581622, -2.673180, 10.104717]
std: [5.198563, 3.238673, 8.140945, 13.558979, 7.165780, 3.950413, 3.205856, 10.219350]
pca: [[-0.239924, 0.351883, -0.570273, 0.472092, -0.431260, -0.020776, -0.266324, 0.114835, 0.000000, 0.000000], [-0.149422, 0.302148, 0.719282, 0.431202, 0.053875, -0.290260, -0.207419, 0.230003, 0.000000, 0.000000], [-0.375833, 0.224777, 0.147666, -0.014375, -0.355210, -0.000428, 0.793034, -0.176455, 0.000000, 0.000000], [0.625938, 0.473773, -0.090162, -0.139261, -0.026677, -0.050444, 0.281104, 0.523394, 0.000000, 0.000000], [-0.330807, -0.227359, -0.226866, 0.305919, 0.565187, 0.104501, 0.322066, 0.509644, 0.000000, 0.000000], [-0.182156, 0.503764, 0.109767, -0.146312, 0.246472, 0.765342, -0.160458, -0.085677, 0.000000, 0.000000], [-0.147783, 0.452133, -0.252083, -0.188289, 0.512948, -0.537646, -0.003090, -0.350069, 0.000000, 0.000000], [0.471812, 0.001839, -0.020601, 0.648959, 0.202301, 0.164441, 0.220555, -0.489089, 0.000000, 0.000000]]
fourier: [[69.696874, 77.043732, 101.287713, 101.858477, 425.753821], [43.125641, 48.025479, 63.471832, 63.733351, 275.431641], [109.540962, 120.798320, 158.260711, 159.011373, 690.321685], [183.859531, 200.829133, 262.182435, 262.808008, 1220.732717], [97.184342, 106.087730, 138.499440, 138.871267, 616.992270], [52.441441, 58.703569, 77.323754, 78.021138, 322.346009], [42.535212, 47.577292, 62.723187, 63.344231, 240.586193], [137.988300, 151.649759, 198.090627, 199.008014, 909.424593]]
### 12
mean: [-8.431634]
std: [8.942714]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[118.144461, 133.752230, 175.768378, 177.232408, 758.847076]]
## 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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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6786525845527649, "train_acc": 0.585, "val_loss": 0.7192450761795044, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6695659458637238, "train_acc": 0.585, "val_loss": 0.6859763860702515, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6250601410865784, "train_acc": 0.585, "val_loss": 0.5905513763427734, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5314748287200928, "train_acc": 0.59, "val_loss": 0.4224824607372284, "val_acc": 0.92}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.3727395087480545, "train_acc": 0.89, "val_loss": 0.2863028347492218, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.2696239501237869, "train_acc": 0.915, "val_loss": 0.16237087547779083, "val_acc": 0.96}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.21159018576145172, "train_acc": 0.92, "val_loss": 0.13182514905929565, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.2108943909406662, "train_acc": 0.92, "val_loss": 0.1369885802268982, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.1984700858592987, "train_acc": 0.92, "val_loss": 0.15910589694976807, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.19588696211576462, "train_acc": 0.92, "val_loss": 0.1407630890607834, "val_acc": 0.96}], "summary": {"total_epochs": 10, "degraded_epochs": 3, "improved_epochs": 7, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.7192450761795044, "final_val_loss": 0.5905513763427734, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.4224824607372284, "final_val_loss": 0.1407630890607834, "initial_val_acc": 0.92, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 5}, "improvement": 0.52, "first_improvement_epoch": 2}}
|
9,412
|
{"target_pattern": "alternating", "degraded_accuracy": 0.62, "improved_accuracy": 1.0, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7900, "learning_rate": 0.04554570433026334, "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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.163973,
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"network.12.bias": [
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}
## Activation Signature
### 0
mean: [2.541352, -1.453887, 2.721953, 2.877708, -5.018584]
std: [2.080374, 3.238824, 2.096575, 1.929059, 3.787358]
pca: [[-0.146850, 0.613939, 0.642499, -0.406358, -0.153565, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.581785, 0.380995, 0.022212, 0.133816, 0.705669, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.044296, 0.679564, -0.579905, 0.262589, -0.361922, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.348271, 0.055394, 0.415510, 0.834024, 0.085987, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.718823, -0.114222, 0.278860, 0.228947, -0.583153, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.012960, 37.470912, 37.900171, 43.282607, 228.721697], [55.451738, 57.362653, 62.857465, 72.960429, 130.849780], [32.864163, 32.905661, 34.184970, 34.940962, 244.975736], [32.485471, 34.586211, 35.551893, 40.301880, 258.993728], [63.258093, 70.716050, 77.267724, 77.687968, 451.672570]]
### 2
mean: [1.812021, -2.274182, -1.705589, -0.413999, -0.791956]
std: [1.516295, 2.301614, 2.522249, 0.577298, 1.701714]
pca: [[-0.228910, -0.654694, 0.524450, 0.482262, 0.106539, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.627640, 0.043557, -0.106990, 0.318560, 0.700888, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.687736, 0.021470, 0.322779, 0.144547, -0.633623, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.027187, 0.268870, 0.755665, -0.511649, 0.306846, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.282751, 0.704788, 0.195675, 0.619083, -0.042107, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.241033, 25.696153, 27.531379, 28.727971, 163.081909], [34.387575, 37.375012, 40.959591, 42.258497, 204.676328], [38.575971, 40.888926, 43.669139, 46.174853, 153.502976], [8.877303, 9.203149, 9.387019, 9.391459, 37.259915], [30.045656, 30.262042, 31.397092, 35.991272, 71.276024]]
### 4
mean: [-0.131885, -0.215505, 0.396137, -0.645046, -0.650983]
std: [0.074815, 1.043500, 0.473148, 0.813320, 1.094948]
pca: [[-0.019346, -0.127010, -0.081574, -0.467942, 0.870558, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.589684, -0.548504, -0.520349, -0.185252, -0.215254, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.170505, 0.766967, -0.384825, -0.455338, -0.165126, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.470231, 0.297425, -0.197578, 0.695632, 0.409244, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.633805, 0.079452, 0.731748, -0.235534, -0.032361, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1.040159, 1.104441, 1.244443, 1.720393, 11.869674], [13.347470, 14.010963, 16.076417, 19.220563, 19.395440], [7.040569, 7.143538, 7.593801, 8.396451, 35.652342], [12.232983, 12.272986, 12.636564, 16.041866, 58.054154], [16.384751, 16.919923, 17.514780, 20.793901, 58.588442]]
### 6
mean: [0.238102, 0.279787, 0.257159, 0.338961, 0.615626]
std: [0.900410, 0.644805, 0.584445, 0.857144, 1.050531]
pca: [[0.479692, 0.671264, 0.465165, -0.185222, -0.261946, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.354289, 0.140839, 0.597717, 0.620857, 0.334537, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.309949, 0.456388, -0.459757, 0.448792, -0.531837, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.462013, 0.531029, -0.194254, -0.466217, 0.499458, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.578663, 0.198211, -0.421005, 0.401816, 0.535873, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.753056, 14.099632, 15.724153, 16.822128, 21.429210], [10.105693, 10.950740, 11.666721, 11.793078, 25.180834], [8.227990, 10.008138, 10.164148, 10.241380, 23.144290], [12.348112, 14.876429, 15.042944, 15.287709, 30.506535], [16.402127, 16.627531, 18.897757, 19.582946, 55.406343]]
### 8
mean: [-0.100957, -0.380813, 0.061775, 1.301649, 0.453904]
std: [0.946441, 0.765116, 0.292330, 0.475420, 0.586398]
pca: [[0.651945, 0.338538, 0.224218, 0.442107, -0.463279, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.527432, 0.002347, 0.437188, -0.310976, 0.658764, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.189493, 0.572687, -0.225288, 0.531677, 0.550170, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.316774, 0.696889, 0.365952, -0.481728, -0.219129, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.400662, -0.267883, 0.757573, 0.439425, 0.026412, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.185422, 14.535553, 15.583838, 17.349652, 18.223922], [11.677978, 12.678463, 14.104950, 14.696376, 34.273195], [4.641821, 5.107773, 5.292228, 5.298482, 5.559747], [7.540065, 8.709565, 8.896250, 9.014678, 117.148416], [9.117460, 10.295756, 10.591405, 11.394110, 40.851365]]
### 10
mean: [-0.766096, 1.393575, -0.601420, -0.560990, -0.739796]
std: [0.636147, 1.076773, 0.457845, 1.161501, 0.426665]
pca: [[0.345024, 0.722107, 0.513383, -0.246053, -0.188193, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.594733, -0.113985, 0.621287, 0.376399, -0.325003, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.252552, -0.144763, 0.458658, 0.281209, 0.791085, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.639510, -0.566690, 0.228016, 0.063137, -0.462505, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.233443, 0.351390, -0.296788, 0.845409, -0.138671, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.929514, 11.100594, 11.666599, 12.103888, 68.948628], [16.401984, 17.923411, 19.878447, 20.854335, 125.421742], [7.026584, 7.619483, 8.464159, 8.894113, 54.127815], [17.860526, 18.947952, 21.368347, 22.522220, 50.489090], [6.589294, 7.278082, 7.837042, 8.225644, 66.581604]]
### 12
mean: [-1.012683]
std: [1.158052]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.652614, 18.824812, 21.348437, 22.751169, 91.141483]]
## 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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.33344,
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],
[
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[
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],
[
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],
[
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],
"network.0.bias": [
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"network.2.weight": [
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[
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],
[
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],
[
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[
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]
],
"network.2.bias": [
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],
"network.4.weight": [
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],
[
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],
[
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],
[
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]
],
"network.4.bias": [
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],
"network.6.weight": [
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],
[
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0.451197,
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],
[
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[
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[
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]
],
"network.6.bias": [
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],
"network.8.weight": [
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],
[
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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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[
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],
"network.10.bias": [
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"network.12.weight": [
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],
"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [2.541352, -1.453887, 2.721953, 2.877708, -5.018584]
std: [2.080374, 3.238824, 2.096575, 1.929059, 3.787358]
pca: [[-0.146850, 0.613939, 0.642499, -0.406358, -0.153565, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.581785, 0.380995, 0.022212, 0.133816, 0.705669, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.044296, 0.679564, -0.579905, 0.262589, -0.361922, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.348271, 0.055394, 0.415510, 0.834024, 0.085987, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.718823, -0.114222, 0.278860, 0.228947, -0.583153, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.012960, 37.470912, 37.900171, 43.282607, 228.721697], [55.451738, 57.362653, 62.857465, 72.960429, 130.849780], [32.864163, 32.905661, 34.184970, 34.940962, 244.975736], [32.485471, 34.586211, 35.551893, 40.301880, 258.993728], [63.258093, 70.716050, 77.267724, 77.687968, 451.672570]]
### 2
mean: [1.812021, -2.274182, -1.705589, -0.413999, -0.791956]
std: [1.516295, 2.301614, 2.522249, 0.577298, 1.701714]
pca: [[-0.228910, -0.654694, 0.524450, 0.482262, 0.106539, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.627640, 0.043557, -0.106990, 0.318560, 0.700888, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.687736, 0.021470, 0.322779, 0.144547, -0.633623, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.027187, 0.268870, 0.755665, -0.511649, 0.306846, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.282751, 0.704788, 0.195675, 0.619083, -0.042107, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.241033, 25.696153, 27.531379, 28.727971, 163.081909], [34.387575, 37.375012, 40.959591, 42.258497, 204.676328], [38.575971, 40.888926, 43.669139, 46.174853, 153.502976], [8.877303, 9.203149, 9.387019, 9.391459, 37.259915], [30.045656, 30.262042, 31.397092, 35.991272, 71.276024]]
### 4
mean: [-0.131885, -0.215505, 0.396137, -0.645046, -0.650983]
std: [0.074815, 1.043500, 0.473148, 0.813320, 1.094948]
pca: [[-0.019346, -0.127010, -0.081574, -0.467942, 0.870558, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.589684, -0.548504, -0.520349, -0.185252, -0.215254, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.170505, 0.766967, -0.384825, -0.455338, -0.165126, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.470231, 0.297425, -0.197578, 0.695632, 0.409244, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.633805, 0.079452, 0.731748, -0.235534, -0.032361, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1.040159, 1.104441, 1.244443, 1.720393, 11.869674], [13.347470, 14.010963, 16.076417, 19.220563, 19.395440], [7.040569, 7.143538, 7.593801, 8.396451, 35.652342], [12.232983, 12.272986, 12.636564, 16.041866, 58.054154], [16.384751, 16.919923, 17.514780, 20.793901, 58.588442]]
### 6
mean: [0.238102, 0.279787, 0.257159, 0.338961, 0.615626]
std: [0.900410, 0.644805, 0.584445, 0.857144, 1.050531]
pca: [[0.479692, 0.671264, 0.465165, -0.185222, -0.261946, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.354289, 0.140839, 0.597717, 0.620857, 0.334537, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.309949, 0.456388, -0.459757, 0.448792, -0.531837, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.462013, 0.531029, -0.194254, -0.466217, 0.499458, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.578663, 0.198211, -0.421005, 0.401816, 0.535873, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.753056, 14.099632, 15.724153, 16.822128, 21.429210], [10.105693, 10.950740, 11.666721, 11.793078, 25.180834], [8.227990, 10.008138, 10.164148, 10.241380, 23.144290], [12.348112, 14.876429, 15.042944, 15.287709, 30.506535], [16.402127, 16.627531, 18.897757, 19.582946, 55.406343]]
### 8
mean: [-0.100957, -0.380813, 0.061775, 1.301649, 0.453904]
std: [0.946441, 0.765116, 0.292330, 0.475420, 0.586398]
pca: [[0.651945, 0.338538, 0.224218, 0.442107, -0.463279, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.527432, 0.002347, 0.437188, -0.310976, 0.658764, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.189493, 0.572687, -0.225288, 0.531677, 0.550170, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.316774, 0.696889, 0.365952, -0.481728, -0.219129, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.400662, -0.267883, 0.757573, 0.439425, 0.026412, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.185422, 14.535553, 15.583838, 17.349652, 18.223922], [11.677978, 12.678463, 14.104950, 14.696376, 34.273195], [4.641821, 5.107773, 5.292228, 5.298482, 5.559747], [7.540065, 8.709565, 8.896250, 9.014678, 117.148416], [9.117460, 10.295756, 10.591405, 11.394110, 40.851365]]
### 10
mean: [-0.766096, 1.393575, -0.601420, -0.560990, -0.739796]
std: [0.636147, 1.076773, 0.457845, 1.161501, 0.426665]
pca: [[0.345024, 0.722107, 0.513383, -0.246053, -0.188193, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.594733, -0.113985, 0.621287, 0.376399, -0.325003, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.252552, -0.144763, 0.458658, 0.281209, 0.791085, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.639510, -0.566690, 0.228016, 0.063137, -0.462505, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.233443, 0.351390, -0.296788, 0.845409, -0.138671, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.929514, 11.100594, 11.666599, 12.103888, 68.948628], [16.401984, 17.923411, 19.878447, 20.854335, 125.421742], [7.026584, 7.619483, 8.464159, 8.894113, 54.127815], [17.860526, 18.947952, 21.368347, 22.522220, 50.489090], [6.589294, 7.278082, 7.837042, 8.225644, 66.581604]]
### 12
mean: [-1.012683]
std: [1.158052]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.652614, 18.824812, 21.348437, 22.751169, 91.141483]]
## 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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0.0, 0.0, 0.0, 0.0], "fourier": [6.589294452835173, 7.278082096327645, 7.837042082958755, 8.22564395631453, 66.58160361647606]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "12": {"neuron_profiles": {"0": {"mean": -1.0126831531524658, "std": 1.1580520868301392, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [17.652614162299724, 18.824812494715758, 21.348437087308753, 22.751168860341107, 91.1414832174778]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "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": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.163973, 0.750147, 0.322941, 0.33344, -0.296414], [-1.011751, 0.389094, -0.540686, 0.303536, -0.81859], [-0.419762, 0.648235, 0.288753, 0.572551, 0.123038], [0.451666, 0.052909, 0.666052, -0.077845, 0.150359], [-0.91508, -0.165847, -0.815062, -0.046258, -0.988179]], "network.0.bias": [-0.053691, 0.584279, 0.080372, 0.809406, -0.557082], "network.2.weight": [[0.512551, -0.271125, 0.168239, 0.189317, -0.277883], [-0.582537, -0.664536, -0.457637, 0.368211, 0.588624], [-0.616254, -0.604618, -0.551862, 0.481287, 0.12588], [-0.102776, 0.518342, -0.163837, 0.000755, -0.285368], [0.100636, 0.962419, 0.016703, -0.553125, -0.602481]], "network.2.bias": [-0.350188, -0.278629, 0.267198, 0.036796, 0.00252], "network.4.weight": [[0.038362, -0.04563, -0.037791, 0.234779, 0.009142], [-0.24487, 0.368483, 0.740906, 0.269179, 0.777056], [-0.062351, 0.660886, 0.292132, 0.412392, -0.194236], [-0.274921, 0.648095, 0.60894, -0.142366, 0.342994], [-0.467997, 0.268832, 0.782343, 0.335411, 0.46457]], "network.4.bias": [-0.185381, -0.117367, 0.511646, -0.375266, -0.075564], "network.6.weight": [[-0.365192, 0.600156, 0.845851, -0.184596, 0.496359], [-0.132844, -0.475505, 0.451197, -0.624642, -0.3611], [-0.208718, -0.633796, 0.303378, 0.040907, -0.426282], [-0.451217, -0.937354, 0.388567, -0.3059, -0.279373], [-0.329459, 0.821118, -0.004189, 0.653941, 0.35188]], "network.6.bias": [-0.189711, 0.249606, 0.30946, 0.391847, 0.423731], "network.8.weight": [[0.362451, -0.568554, -0.524328, 0.002451, 0.46333], [0.097337, -0.682211, -0.090888, -0.224742, 0.50579], [0.160692, 0.501295, 0.142156, 0.35133, -0.241899], [-0.16068, 0.499778, 0.446177, 0.753794, -0.053835], [-0.727203, 0.831167, 0.280497, 0.039512, 0.179847]], "network.8.bias": [-0.137129, -0.359304, -0.176711, 0.806779, 0.216801], "network.10.weight": [[0.181418, 0.182199, -0.081297, -0.693204, -0.364032], [-0.537547, -0.50983, 0.182132, 0.59009, 0.38535], [0.366584, 0.085733, -0.199406, -0.285871, 0.176626], [0.763794, 0.536136, -0.259558, -0.601559, 0.313379], [0.179342, 0.110026, 0.199811, -0.38675, -0.343363]], "network.10.bias": [0.192715, 0.602759, -0.370021, -0.069281, -0.174629], "network.12.weight": [[0.38391, -0.654201, 0.264386, 0.661114, 0.167368]], "network.12.bias": [-0.062886]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6934927999973297, "train_acc": 0.48, "val_loss": 0.6860905289649963, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6893314719200134, "train_acc": 0.555, "val_loss": 0.6859117746353149, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6835730969905853, "train_acc": 0.555, "val_loss": 0.6843902468681335, "val_acc": 0.56}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6868033111095428, "train_acc": 0.555, "val_loss": 0.676927924156189, "val_acc": 0.56}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6784087121486664, "train_acc": 0.555, "val_loss": 0.6473701000213623, "val_acc": 0.62}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6434739530086517, "train_acc": 0.59, "val_loss": 0.4882459342479706, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5047391057014465, "train_acc": 0.79, "val_loss": 0.29383909702301025, "val_acc": 0.96}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.3720988929271698, "train_acc": 0.85, "val_loss": 0.17034843564033508, "val_acc": 1.0}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.2740725427865982, "train_acc": 0.895, "val_loss": 0.05937252938747406, "val_acc": 1.0}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.2732653096318245, "train_acc": 0.915, "val_loss": 0.022734150290489197, "val_acc": 1.0}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.23507016152143478, "train_acc": 0.95, "val_loss": 0.02948768623173237, "val_acc": 1.0}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.20007863640785217, "train_acc": 0.96, "val_loss": 0.024943528696894646, "val_acc": 1.0}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.15342654287815094, "train_acc": 0.96, "val_loss": 0.05125311017036438, "val_acc": 0.98}], "summary": {"total_epochs": 13, "degraded_epochs": 5, "improved_epochs": 8, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.6860905289649963, "final_val_loss": 0.6473701000213623, "initial_val_acc": 0.56, "final_val_acc": 0.62, "best_val_acc": 0.62}, "improved_stage": {"initial_val_loss": 0.4882459342479706, "final_val_loss": 0.05125311017036438, "initial_val_acc": 0.88, "final_val_acc": 0.98, "best_val_acc": 1.0, "best_epoch": 7}, "improvement": 0.38, "first_improvement_epoch": 4}}
|
9,413
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.42, "improved_accuracy": 0.76, "improvement": 0.34, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9139, "learning_rate": 0.059274060012013685, "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: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
[
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[
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0.312208,
-0.643803
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[
0.124353,
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0.488426,
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0.231329
],
[
0.617081,
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0.34839
],
[
0.45601,
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-0.090382,
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0.217915
]
],
"network.0.bias": [
-0.210072,
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"network.2.weight": [
[
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0.219627,
0.002067
],
[
0.162233,
-0.393502,
-0.226678,
0.446638,
0.376544,
0.475099
],
[
0.219568,
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0.140915,
-0.506988
],
[
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0.587618,
-0.007767,
0.316261,
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],
[
0.2767,
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0.198576,
0.340623,
0.545359
],
[
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-0.110667,
0.056549
]
],
"network.2.bias": [
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"network.4.weight": [
[
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0.064524,
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[
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0.191359
],
[
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[
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[
0.341242,
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],
"network.4.bias": [
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"network.6.weight": [
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[
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[
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"network.6.bias": [
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"network.8.weight": [
[
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[
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[
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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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[
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],
[
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],
[
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],
[
0.175214,
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],
[
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],
"network.10.bias": [
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],
"network.12.weight": [
[
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],
"network.12.bias": [
0.121805
]
}
## Activation Signature
### 0
mean: [1.194557, 0.733282, -1.059816, 0.626834, 1.403478, 1.267539]
std: [1.630756, 1.320969, 1.586682, 1.307184, 1.645291, 1.308961]
pca: [[0.417641, 0.509998, 0.231370, 0.631742, -0.334527, 0.030643, 0.000000, 0.000000, 0.000000, 0.000000], [0.165885, -0.492329, -0.568585, 0.529590, 0.094767, 0.342577, 0.000000, 0.000000, 0.000000, 0.000000], [-0.434193, 0.506754, -0.051345, 0.201992, 0.610525, 0.372155, 0.000000, 0.000000, 0.000000, 0.000000], [0.304015, -0.374021, 0.620053, 0.186557, 0.580906, -0.104705, 0.000000, 0.000000, 0.000000, 0.000000], [0.596877, 0.151677, -0.031240, -0.489708, 0.085917, 0.610378, 0.000000, 0.000000, 0.000000, 0.000000], [0.401058, 0.278958, -0.484873, -0.070839, 0.401916, -0.599732, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.725311, 27.371915, 30.232709, 31.091837, 107.510140], [21.117633, 21.691155, 24.689484, 24.991774, 65.995406], [28.369773, 28.770196, 30.947384, 32.375267, 95.383472], [24.380478, 27.003044, 27.126200, 28.547032, 56.415040], [25.729853, 27.513969, 30.509411, 35.521647, 126.313010], [19.743081, 22.037382, 22.704677, 24.186053, 114.078489]]
### 2
mean: [-1.069938, 1.689455, -1.003045, 0.108834, 1.709890, 0.875385]
std: [0.822961, 1.524379, 0.530299, 1.143021, 1.612550, 0.622936]
pca: [[0.097624, 0.572152, -0.176610, 0.787606, 0.020087, 0.105798, 0.000000, 0.000000, 0.000000, 0.000000], [0.626878, -0.268804, 0.305920, 0.145621, -0.510797, 0.398826, 0.000000, 0.000000, 0.000000, 0.000000], [-0.023824, 0.273923, 0.875242, -0.017919, 0.392903, 0.060467, 0.000000, 0.000000, 0.000000, 0.000000], [-0.356643, -0.564583, 0.260687, 0.567719, -0.123522, -0.385398, 0.000000, 0.000000, 0.000000, 0.000000], [0.676749, -0.187714, -0.116347, 0.077694, 0.508252, -0.478415, 0.000000, 0.000000, 0.000000, 0.000000], [-0.108363, -0.413960, -0.166371, 0.172650, 0.557433, 0.669833, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.867201, 15.037642, 15.061977, 16.918333, 96.294435], [25.818511, 26.801513, 28.763335, 31.150771, 152.050963], [7.553863, 8.998514, 9.102256, 9.974929, 90.274061], [17.090333, 18.119456, 18.567474, 19.063383, 21.384790], [27.952385, 28.469968, 28.917662, 30.386147, 153.890073], [9.790007, 10.282968, 10.306880, 10.326174, 78.784647]]
### 4
mean: [-0.892510, -0.541542, -0.335099, 1.371400, -0.613099, -0.386975]
std: [1.625832, 0.434936, 0.937495, 1.156126, 0.229788, 0.170079]
pca: [[0.736310, -0.193396, -0.075570, 0.430883, 0.475742, -0.052385, 0.000000, 0.000000, 0.000000, 0.000000], [-0.096978, 0.732999, 0.380777, 0.548157, 0.021542, 0.085889, 0.000000, 0.000000, 0.000000, 0.000000], [0.424293, -0.076309, 0.636604, -0.333586, -0.229976, 0.494690, 0.000000, 0.000000, 0.000000, 0.000000], [-0.512844, -0.470447, 0.262854, 0.272676, 0.443422, 0.419050, 0.000000, 0.000000, 0.000000, 0.000000], [0.039460, 0.405469, -0.474828, -0.314961, 0.380108, 0.604064, 0.000000, 0.000000, 0.000000, 0.000000], [-0.062066, 0.183748, 0.386624, -0.478573, 0.615801, -0.452397, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.897364, 27.814771, 28.679061, 34.589291, 80.325864], [6.890476, 7.055420, 7.177278, 7.776071, 48.738784], [15.856613, 16.248007, 16.560251, 20.206948, 30.158874], [19.803417, 19.871564, 21.853059, 21.964797, 123.425948], [4.092571, 4.205048, 4.659196, 4.966565, 55.178893], [2.825909, 2.898275, 2.917907, 3.402896, 34.827756]]
### 6
mean: [0.010990, -0.696436, -0.359581, -0.064619, 0.793878, -0.189713]
std: [0.267403, 0.887989, 0.356078, 0.438837, 0.295391, 0.525541]
pca: [[0.215889, -0.142976, -0.119008, 0.568187, 0.724145, -0.267515, 0.000000, 0.000000, 0.000000, 0.000000], [0.718511, -0.001544, 0.169453, -0.553831, 0.111747, -0.368523, 0.000000, 0.000000, 0.000000, 0.000000], [0.288023, -0.057933, 0.588318, 0.553385, -0.489398, -0.147728, 0.000000, 0.000000, 0.000000, 0.000000], [0.349003, -0.652111, -0.052312, -0.005621, 0.010844, 0.670867, 0.000000, 0.000000, 0.000000, 0.000000], [-0.238604, 0.126238, 0.764385, -0.178688, 0.471720, 0.297319, 0.000000, 0.000000, 0.000000, 0.000000], [0.418858, 0.731447, -0.154868, 0.179552, 0.031279, 0.482018, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[4.294813, 4.317190, 4.363793, 4.615277, 6.117011], [14.604178, 15.073821, 15.369161, 19.804692, 62.679244], [5.829515, 6.041483, 6.152793, 7.976129, 32.362298], [6.698997, 6.914642, 7.205878, 7.422427, 10.379425], [4.783055, 4.871535, 5.110983, 6.755883, 71.448999], [8.969142, 9.021362, 9.674636, 10.704423, 17.074205]]
### 8
mean: [-0.067766, -0.278672, -0.436978, -0.428356, -0.308890, -0.226931]
std: [0.092742, 0.347453, 0.425342, 0.262301, 0.279242, 0.212206]
pca: [[0.096655, -0.512429, 0.744296, -0.059132, 0.257818, -0.322693, 0.000000, 0.000000, 0.000000, 0.000000], [0.493866, 0.320918, 0.452547, 0.411035, -0.478495, 0.224506, 0.000000, 0.000000, 0.000000, 0.000000], [0.607431, -0.201849, -0.327021, -0.370763, -0.355891, -0.468208, 0.000000, 0.000000, 0.000000, 0.000000], [0.374812, -0.111627, 0.055172, -0.519145, 0.253379, 0.714352, 0.000000, 0.000000, 0.000000, 0.000000], [0.390592, 0.541794, -0.031815, 0.091160, 0.677741, -0.291963, 0.000000, 0.000000, 0.000000, 0.000000], [0.291096, -0.536363, -0.360867, 0.642080, 0.233195, 0.175231, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1.328909, 1.438740, 1.460028, 1.524187, 6.098916], [4.884265, 5.283006, 5.576675, 7.908414, 25.080508], [6.048059, 6.319669, 6.510547, 9.825381, 39.328003], [3.725054, 3.878954, 4.039046, 6.026166, 38.552036], [4.063449, 4.335180, 4.653822, 6.522049, 27.800087], [2.674878, 2.876822, 3.003696, 4.534770, 20.423798]]
### 10
mean: [-0.452381, -0.272895, -0.308921, -0.176999, -0.164216, 0.233188]
std: [0.028185, 0.101128, 0.054676, 0.159151, 0.188990, 0.275076]
pca: [[-0.072449, -0.086815, 0.388099, 0.755877, 0.027904, 0.514262, 0.000000, 0.000000, 0.000000, 0.000000], [0.260482, 0.194241, 0.748063, -0.431916, 0.365904, 0.119934, 0.000000, 0.000000, 0.000000, 0.000000], [-0.139078, -0.636974, -0.019648, -0.449842, -0.237824, 0.561798, 0.000000, 0.000000, 0.000000, 0.000000], [-0.409562, 0.647195, -0.282740, -0.185510, 0.133217, 0.530373, 0.000000, 0.000000, 0.000000, 0.000000], [-0.486963, -0.353105, -0.072181, 0.034587, 0.777158, -0.166745, 0.000000, 0.000000, 0.000000, 0.000000], [0.709002, -0.073847, -0.451933, 0.064274, 0.432497, 0.310539, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[0.392748, 0.409283, 0.439308, 0.449699, 40.714297], [1.335499, 1.406800, 1.514348, 1.566274, 24.560579], [0.752595, 0.760866, 0.847486, 0.936830, 27.802924], [2.172335, 2.268130, 2.289602, 2.310274, 15.929905], [2.548960, 2.660444, 2.836537, 2.937281, 14.779453], [3.752695, 3.905413, 4.101607, 4.165081, 20.986932]]
### 12
mean: [0.030939]
std: [0.112347]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1.524570, 1.588034, 1.656151, 1.676549, 2.784512]]
## 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: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.573285,
0.27257,
0.250029,
0.019679,
-0.299968
],
[
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0.310706,
0.061438,
0.557682
],
[
0.042194,
0.062731,
-0.392699,
0.312208,
-0.643803
],
[
0.124353,
-0.445114,
0.488426,
-0.006562,
0.231329
],
[
0.617081,
0.123688,
0.047475,
-0.197537,
0.34839
],
[
0.45601,
0.309774,
-0.090382,
0.029937,
0.217915
]
],
"network.0.bias": [
-0.210072,
-0.45709,
-0.28182,
-0.008323,
0.304926,
-0.008579
],
"network.2.weight": [
[
-0.043248,
-0.418777,
-0.183381,
-0.537031,
0.219627,
0.002067
],
[
0.162233,
-0.393502,
-0.226678,
0.446638,
0.376544,
0.475099
],
[
0.219568,
-0.201021,
-0.601114,
-0.169959,
0.140915,
-0.506988
],
[
-0.288182,
0.587618,
-0.007767,
0.316261,
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-0.227773
],
[
0.2767,
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-0.116972,
0.198576,
0.340623,
0.545359
],
[
-0.087863,
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0.101532,
0.174937,
-0.110667,
0.056549
]
],
"network.2.bias": [
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0.35141,
-0.424477,
0.119753,
0.255734,
0.497263
],
"network.4.weight": [
[
-0.492142,
-0.564484,
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0.353366
],
[
0.11159,
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0.110937,
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0.064524,
-0.294509
],
[
0.334579,
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0.344348,
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0.191359
],
[
-0.159614,
0.285534,
-0.07377,
-0.046594,
0.439063,
-0.087123
],
[
0.033769,
0.135788,
0.078828,
-0.257685,
-0.24138,
-0.053264
],
[
0.341242,
-0.0771,
-0.329922,
-0.150985,
0.119275,
-0.039394
]
],
"network.4.bias": [
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0.247846,
0.238647,
-0.261469,
-0.357691
],
"network.6.weight": [
[
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0.394887,
0.175376,
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0.156337
],
[
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[
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[
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0.272172,
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[
0.030958,
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0.229809,
-0.431207,
0.176512,
0.130689
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],
"network.6.bias": [
0.223618,
0.065369,
-0.071871,
0.216815,
0.54251,
0.362294
],
"network.8.weight": [
[
0.220476,
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-0.04078,
0.414097,
0.191953,
0.219152
],
[
0.286754,
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0.505324,
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0.424169
],
[
0.354944,
0.44072,
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0.673993,
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[
0.234431,
0.207615,
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0.045125
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[
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0.08827,
0.283356,
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0.241546
],
[
0.093449,
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0.188418,
0.348508,
-0.186284,
0.038491
]
],
"network.8.bias": [
-0.311314,
0.102447,
-0.036079,
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0.174619,
-0.156821
],
"network.10.weight": [
[
-0.326551,
0.157076,
-0.242356,
-0.013139,
0.02931,
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],
[
0.261725,
0.281248,
0.126535,
0.460197,
-0.323288,
-0.051652
],
[
-0.276056,
-0.231946,
0.009401,
0.086155,
-0.220443,
0.080914
],
[
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0.066984,
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],
[
0.175214,
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0.230877
],
[
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0.415311,
0.007299,
0.53986
]
],
"network.10.bias": [
-0.446415,
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-0.295343,
-0.145761,
-0.123224,
0.1757
],
"network.12.weight": [
[
0.217789,
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0.190805,
-0.06831,
-0.152073,
-0.385781
]
],
"network.12.bias": [
0.121805
]
}
## Activation Signature
### 0
mean: [1.194557, 0.733282, -1.059816, 0.626834, 1.403478, 1.267539]
std: [1.630756, 1.320969, 1.586682, 1.307184, 1.645291, 1.308961]
pca: [[0.417641, 0.509998, 0.231370, 0.631742, -0.334527, 0.030643, 0.000000, 0.000000, 0.000000, 0.000000], [0.165885, -0.492329, -0.568585, 0.529590, 0.094767, 0.342577, 0.000000, 0.000000, 0.000000, 0.000000], [-0.434193, 0.506754, -0.051345, 0.201992, 0.610525, 0.372155, 0.000000, 0.000000, 0.000000, 0.000000], [0.304015, -0.374021, 0.620053, 0.186557, 0.580906, -0.104705, 0.000000, 0.000000, 0.000000, 0.000000], [0.596877, 0.151677, -0.031240, -0.489708, 0.085917, 0.610378, 0.000000, 0.000000, 0.000000, 0.000000], [0.401058, 0.278958, -0.484873, -0.070839, 0.401916, -0.599732, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.725311, 27.371915, 30.232709, 31.091837, 107.510140], [21.117633, 21.691155, 24.689484, 24.991774, 65.995406], [28.369773, 28.770196, 30.947384, 32.375267, 95.383472], [24.380478, 27.003044, 27.126200, 28.547032, 56.415040], [25.729853, 27.513969, 30.509411, 35.521647, 126.313010], [19.743081, 22.037382, 22.704677, 24.186053, 114.078489]]
### 2
mean: [-1.069938, 1.689455, -1.003045, 0.108834, 1.709890, 0.875385]
std: [0.822961, 1.524379, 0.530299, 1.143021, 1.612550, 0.622936]
pca: [[0.097624, 0.572152, -0.176610, 0.787606, 0.020087, 0.105798, 0.000000, 0.000000, 0.000000, 0.000000], [0.626878, -0.268804, 0.305920, 0.145621, -0.510797, 0.398826, 0.000000, 0.000000, 0.000000, 0.000000], [-0.023824, 0.273923, 0.875242, -0.017919, 0.392903, 0.060467, 0.000000, 0.000000, 0.000000, 0.000000], [-0.356643, -0.564583, 0.260687, 0.567719, -0.123522, -0.385398, 0.000000, 0.000000, 0.000000, 0.000000], [0.676749, -0.187714, -0.116347, 0.077694, 0.508252, -0.478415, 0.000000, 0.000000, 0.000000, 0.000000], [-0.108363, -0.413960, -0.166371, 0.172650, 0.557433, 0.669833, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.867201, 15.037642, 15.061977, 16.918333, 96.294435], [25.818511, 26.801513, 28.763335, 31.150771, 152.050963], [7.553863, 8.998514, 9.102256, 9.974929, 90.274061], [17.090333, 18.119456, 18.567474, 19.063383, 21.384790], [27.952385, 28.469968, 28.917662, 30.386147, 153.890073], [9.790007, 10.282968, 10.306880, 10.326174, 78.784647]]
### 4
mean: [-0.892510, -0.541542, -0.335099, 1.371400, -0.613099, -0.386975]
std: [1.625832, 0.434936, 0.937495, 1.156126, 0.229788, 0.170079]
pca: [[0.736310, -0.193396, -0.075570, 0.430883, 0.475742, -0.052385, 0.000000, 0.000000, 0.000000, 0.000000], [-0.096978, 0.732999, 0.380777, 0.548157, 0.021542, 0.085889, 0.000000, 0.000000, 0.000000, 0.000000], [0.424293, -0.076309, 0.636604, -0.333586, -0.229976, 0.494690, 0.000000, 0.000000, 0.000000, 0.000000], [-0.512844, -0.470447, 0.262854, 0.272676, 0.443422, 0.419050, 0.000000, 0.000000, 0.000000, 0.000000], [0.039460, 0.405469, -0.474828, -0.314961, 0.380108, 0.604064, 0.000000, 0.000000, 0.000000, 0.000000], [-0.062066, 0.183748, 0.386624, -0.478573, 0.615801, -0.452397, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.897364, 27.814771, 28.679061, 34.589291, 80.325864], [6.890476, 7.055420, 7.177278, 7.776071, 48.738784], [15.856613, 16.248007, 16.560251, 20.206948, 30.158874], [19.803417, 19.871564, 21.853059, 21.964797, 123.425948], [4.092571, 4.205048, 4.659196, 4.966565, 55.178893], [2.825909, 2.898275, 2.917907, 3.402896, 34.827756]]
### 6
mean: [0.010990, -0.696436, -0.359581, -0.064619, 0.793878, -0.189713]
std: [0.267403, 0.887989, 0.356078, 0.438837, 0.295391, 0.525541]
pca: [[0.215889, -0.142976, -0.119008, 0.568187, 0.724145, -0.267515, 0.000000, 0.000000, 0.000000, 0.000000], [0.718511, -0.001544, 0.169453, -0.553831, 0.111747, -0.368523, 0.000000, 0.000000, 0.000000, 0.000000], [0.288023, -0.057933, 0.588318, 0.553385, -0.489398, -0.147728, 0.000000, 0.000000, 0.000000, 0.000000], [0.349003, -0.652111, -0.052312, -0.005621, 0.010844, 0.670867, 0.000000, 0.000000, 0.000000, 0.000000], [-0.238604, 0.126238, 0.764385, -0.178688, 0.471720, 0.297319, 0.000000, 0.000000, 0.000000, 0.000000], [0.418858, 0.731447, -0.154868, 0.179552, 0.031279, 0.482018, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[4.294813, 4.317190, 4.363793, 4.615277, 6.117011], [14.604178, 15.073821, 15.369161, 19.804692, 62.679244], [5.829515, 6.041483, 6.152793, 7.976129, 32.362298], [6.698997, 6.914642, 7.205878, 7.422427, 10.379425], [4.783055, 4.871535, 5.110983, 6.755883, 71.448999], [8.969142, 9.021362, 9.674636, 10.704423, 17.074205]]
### 8
mean: [-0.067766, -0.278672, -0.436978, -0.428356, -0.308890, -0.226931]
std: [0.092742, 0.347453, 0.425342, 0.262301, 0.279242, 0.212206]
pca: [[0.096655, -0.512429, 0.744296, -0.059132, 0.257818, -0.322693, 0.000000, 0.000000, 0.000000, 0.000000], [0.493866, 0.320918, 0.452547, 0.411035, -0.478495, 0.224506, 0.000000, 0.000000, 0.000000, 0.000000], [0.607431, -0.201849, -0.327021, -0.370763, -0.355891, -0.468208, 0.000000, 0.000000, 0.000000, 0.000000], [0.374812, -0.111627, 0.055172, -0.519145, 0.253379, 0.714352, 0.000000, 0.000000, 0.000000, 0.000000], [0.390592, 0.541794, -0.031815, 0.091160, 0.677741, -0.291963, 0.000000, 0.000000, 0.000000, 0.000000], [0.291096, -0.536363, -0.360867, 0.642080, 0.233195, 0.175231, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1.328909, 1.438740, 1.460028, 1.524187, 6.098916], [4.884265, 5.283006, 5.576675, 7.908414, 25.080508], [6.048059, 6.319669, 6.510547, 9.825381, 39.328003], [3.725054, 3.878954, 4.039046, 6.026166, 38.552036], [4.063449, 4.335180, 4.653822, 6.522049, 27.800087], [2.674878, 2.876822, 3.003696, 4.534770, 20.423798]]
### 10
mean: [-0.452381, -0.272895, -0.308921, -0.176999, -0.164216, 0.233188]
std: [0.028185, 0.101128, 0.054676, 0.159151, 0.188990, 0.275076]
pca: [[-0.072449, -0.086815, 0.388099, 0.755877, 0.027904, 0.514262, 0.000000, 0.000000, 0.000000, 0.000000], [0.260482, 0.194241, 0.748063, -0.431916, 0.365904, 0.119934, 0.000000, 0.000000, 0.000000, 0.000000], [-0.139078, -0.636974, -0.019648, -0.449842, -0.237824, 0.561798, 0.000000, 0.000000, 0.000000, 0.000000], [-0.409562, 0.647195, -0.282740, -0.185510, 0.133217, 0.530373, 0.000000, 0.000000, 0.000000, 0.000000], [-0.486963, -0.353105, -0.072181, 0.034587, 0.777158, -0.166745, 0.000000, 0.000000, 0.000000, 0.000000], [0.709002, -0.073847, -0.451933, 0.064274, 0.432497, 0.310539, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[0.392748, 0.409283, 0.439308, 0.449699, 40.714297], [1.335499, 1.406800, 1.514348, 1.566274, 24.560579], [0.752595, 0.760866, 0.847486, 0.936830, 27.802924], [2.172335, 2.268130, 2.289602, 2.310274, 15.929905], [2.548960, 2.660444, 2.836537, 2.937281, 14.779453], [3.752695, 3.905413, 4.101607, 4.165081, 20.986932]]
### 12
mean: [0.030939]
std: [0.112347]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1.524570, 1.588034, 1.656151, 1.676549, 2.784512]]
## 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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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.573285, 0.27257, 0.250029, 0.019679, -0.299968], [-0.360262, 0.093354, 0.310706, 0.061438, 0.557682], [0.042194, 0.062731, -0.392699, 0.312208, -0.643803], [0.124353, -0.445114, 0.488426, -0.006562, 0.231329], [0.617081, 0.123688, 0.047475, -0.197537, 0.34839], [0.45601, 0.309774, -0.090382, 0.029937, 0.217915]], "network.0.bias": [-0.210072, -0.45709, -0.28182, -0.008323, 0.304926, -0.008579], "network.2.weight": [[-0.043248, -0.418777, -0.183381, -0.537031, 0.219627, 0.002067], [0.162233, -0.393502, -0.226678, 0.446638, 0.376544, 0.475099], [0.219568, -0.201021, -0.601114, -0.169959, 0.140915, -0.506988], [-0.288182, 0.587618, -0.007767, 0.316261, -0.10241, -0.227773], [0.2767, -0.268191, -0.116972, 0.198576, 0.340623, 0.545359], [-0.087863, 0.451282, 0.101532, 0.174937, -0.110667, 0.056549]], "network.2.bias": [-0.469062, 0.35141, -0.424477, 0.119753, 0.255734, 0.497263], "network.4.weight": [[-0.492142, -0.564484, 0.110488, 0.566773, -0.341128, 0.353366], [0.11159, -0.060703, 0.110937, -0.393189, 0.064524, -0.294509], [0.334579, -0.527444, -0.091014, 0.344348, -0.015415, 0.191359], [-0.159614, 0.285534, -0.07377, -0.046594, 0.439063, -0.087123], [0.033769, 0.135788, 0.078828, -0.257685, -0.24138, -0.053264], [0.341242, -0.0771, -0.329922, -0.150985, 0.119275, -0.039394]], "network.4.bias": [0.069263, -0.104607, 0.247846, 0.238647, -0.261469, -0.357691], "network.6.weight": [[0.177747, 0.394887, 0.175376, -0.191333, -0.20527, 0.156337], [0.38315, -0.201549, 0.621141, -0.66059, 0.328781, -0.363398], [0.112488, -0.333414, 0.341337, -0.258539, 0.096185, 0.057487], [0.39832, -0.006295, 0.359128, -0.282467, 0.403338, -0.187082], [-0.257906, 0.086249, -0.086085, 0.217003, 0.272172, -0.06424], [0.030958, -0.364073, 0.229809, -0.431207, 0.176512, 0.130689]], "network.6.bias": [0.223618, 0.065369, -0.071871, 0.216815, 0.54251, 0.362294], "network.8.weight": [[0.220476, -0.067227, -0.04078, 0.414097, 0.191953, 0.219152], [0.286754, -0.131579, 0.448862, 0.505324, -0.644221, 0.424169], [0.354944, 0.44072, 0.161324, 0.673993, -0.683871, -0.014159], [0.234431, 0.207615, -0.064167, 0.499419, -0.394139, 0.045125], [0.032374, 0.040391, 0.08827, 0.283356, -0.687347, 0.241546], [0.093449, 0.444478, 0.188418, 0.348508, -0.186284, 0.038491]], "network.8.bias": [-0.311314, 0.102447, -0.036079, -0.215158, 0.174619, -0.156821], "network.10.weight": [[-0.326551, 0.157076, -0.242356, -0.013139, 0.02931, 0.137201], [0.261725, 0.281248, 0.126535, 0.460197, -0.323288, -0.051652], [-0.276056, -0.231946, 0.009401, 0.086155, -0.220443, 0.080914], [-0.314904, 0.066984, -0.031809, -0.524077, -0.472726, -0.289953], [0.175214, -0.4542, -0.392807, -0.332703, -0.275893, 0.230877], [0.37067, 0.212288, 0.425278, 0.415311, 0.007299, 0.53986]], "network.10.bias": [-0.446415, -0.295123, -0.295343, -0.145761, -0.123224, 0.1757], "network.12.weight": [[0.217789, -0.120458, 0.190805, -0.06831, -0.152073, -0.385781]], "network.12.bias": [0.121805]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6922048032283783, "train_acc": 0.445, "val_loss": 0.7076038122177124, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6516585946083069, "train_acc": 0.595, "val_loss": 0.7053230404853821, "val_acc": 0.42}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.5583962202072144, "train_acc": 0.595, "val_loss": 0.5599652528762817, "val_acc": 0.42}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 1.0889480710029602, "train_acc": 0.52, "val_loss": 0.510260820388794, "val_acc": 0.42}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.4902913570404053, "train_acc": 0.52, "val_loss": 0.6440427899360657, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.66221883893013, "train_acc": 0.655, "val_loss": 0.6755462884902954, "val_acc": 0.62}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.6888845562934875, "train_acc": 0.515, "val_loss": 0.6672981381416321, "val_acc": 0.64}], "summary": {"total_epochs": 7, "degraded_epochs": 3, "improved_epochs": 4, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.7076038122177124, "final_val_loss": 0.5599652528762817, "initial_val_acc": 0.42, "final_val_acc": 0.42, "best_val_acc": 0.42}, "improved_stage": {"initial_val_loss": 0.510260820388794, "final_val_loss": 0.6672981381416321, "initial_val_acc": 0.42, "final_val_acc": 0.64, "best_val_acc": 0.76, "best_epoch": 4}, "improvement": 0.34, "first_improvement_epoch": 2}}
|
9,414
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.62, "improved_accuracy": 0.8, "improvement": 0.18000000000000005, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2900, "learning_rate": 0.05656699320964178, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "no_repeats", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["no_repeats"], "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: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.12.weight": [
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"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [1.674830, 1.123909, 1.925487, 0.393452, 1.400795, 1.352367, 0.305522]
std: [1.343404, 2.084793, 1.678249, 0.498209, 1.675204, 1.772312, 1.233782]
pca: [[0.321861, 0.394507, -0.149852, -0.289127, 0.365399, -0.528489, 0.471066, 0.000000, 0.000000, 0.000000], [0.666219, 0.320265, -0.330380, 0.197354, -0.199277, 0.514930, 0.024893, 0.000000, 0.000000, 0.000000], [-0.294909, 0.566088, 0.250227, -0.484083, -0.505185, 0.175285, 0.098415, 0.000000, 0.000000, 0.000000], [-0.074201, -0.018816, 0.170134, -0.359107, 0.675673, 0.612902, 0.063675, 0.000000, 0.000000, 0.000000], [0.313276, 0.282838, 0.791651, 0.304744, 0.140944, -0.123020, -0.259386, 0.000000, 0.000000, 0.000000], [-0.360787, 0.558483, -0.378628, 0.229957, 0.304472, -0.068947, -0.514036, 0.000000, 0.000000, 0.000000], [-0.363003, 0.170542, 0.082244, 0.606970, 0.049581, 0.171130, 0.657437, 0.000000, 0.000000, 0.000000]]
fourier: [[19.870076, 21.846505, 22.203771, 22.500775, 150.734747], [29.352532, 32.245521, 32.547222, 43.671461, 101.151785], [27.853127, 30.049645, 30.702227, 32.400165, 173.293803], [8.293630, 8.321210, 8.655443, 9.111194, 35.410640], [27.135202, 28.184728, 28.658610, 32.139134, 126.071504], [27.242210, 27.295439, 28.078307, 29.419883, 121.713000], [19.749731, 21.704178, 22.017190, 27.496976, 27.994241]]
### 2
mean: [0.523893, -0.926794, 1.060549, 1.800825, 0.045413, 0.639664, 0.223640]
std: [0.915714, 0.636434, 1.452086, 1.767588, 0.273474, 0.452221, 0.612666]
pca: [[0.362352, 0.190155, 0.502356, 0.246720, 0.326679, 0.013638, 0.642187, 0.000000, 0.000000, 0.000000], [0.160276, -0.367945, -0.220534, 0.434162, 0.074740, 0.771557, -0.030175, 0.000000, 0.000000, 0.000000], [-0.500269, 0.723425, -0.145703, 0.255351, -0.173428, 0.286873, 0.166071, 0.000000, 0.000000, 0.000000], [0.768109, 0.439265, -0.264759, -0.022960, -0.340150, 0.013277, -0.174789, 0.000000, 0.000000, 0.000000], [-0.012850, -0.095476, -0.168359, 0.806836, -0.040100, -0.545446, -0.110773, 0.000000, 0.000000, 0.000000], [0.048086, 0.308308, -0.123809, -0.004004, 0.831255, 0.006054, -0.443022, 0.000000, 0.000000, 0.000000], [-0.016538, 0.089390, 0.751001, 0.184121, -0.222088, 0.156506, -0.565699, 0.000000, 0.000000, 0.000000]]
fourier: [[13.236485, 14.064075, 15.115614, 16.502471, 47.150327], [8.531368, 8.555800, 10.905411, 11.652049, 83.411499], [22.638796, 23.902835, 26.591809, 28.492046, 95.449423], [29.740945, 31.402019, 34.188347, 36.869553, 162.074210], [4.272824, 4.504849, 4.757442, 5.420018, 6.944014], [6.829307, 7.722068, 8.200854, 8.317742, 57.569750], [9.938823, 10.108676, 10.425938, 11.028470, 20.127588]]
### 4
mean: [0.713933, 0.492782, 0.743379, 0.176142, -1.370416, -0.245797, -1.275337]
std: [0.846357, 0.946245, 1.261809, 0.813297, 0.756454, 0.245879, 1.071343]
pca: [[-0.277706, -0.478808, -0.048923, 0.461661, 0.618686, 0.183994, 0.247935, 0.000000, 0.000000, 0.000000], [-0.434757, -0.314203, 0.029604, -0.491878, -0.349249, 0.191213, 0.557588, 0.000000, 0.000000, 0.000000], [0.641149, -0.147091, 0.471796, 0.274553, -0.216675, 0.145728, 0.448483, 0.000000, 0.000000, 0.000000], [-0.395314, -0.179390, 0.714982, 0.156232, -0.212753, 0.086599, -0.472414, 0.000000, 0.000000, 0.000000], [-0.069625, 0.547386, 0.095663, -0.055401, 0.185736, 0.804455, 0.040683, 0.000000, 0.000000, 0.000000], [-0.090904, -0.102562, -0.481755, 0.533830, -0.601175, 0.300426, -0.111750, 0.000000, 0.000000, 0.000000], [-0.391675, 0.555025, 0.147310, 0.396350, -0.084442, -0.404283, 0.434936, 0.000000, 0.000000, 0.000000]]
fourier: [[12.491508, 12.708130, 15.151223, 16.519386, 64.253966], [15.320554, 15.745675, 17.580719, 18.655789, 44.350350], [21.639555, 23.829525, 23.843287, 25.251003, 66.904094], [14.035046, 14.098835, 15.269789, 15.852783, 15.919894], [11.412252, 14.010146, 14.232077, 14.460963, 123.337416], [3.628350, 4.281271, 4.447475, 4.450678, 22.121768], [18.002352, 18.823855, 19.263623, 21.567633, 114.780346]]
### 6
mean: [-0.156822, 0.021349, 0.263547, -1.100033, 0.298246, 0.117865, 0.549284]
std: [1.007372, 0.976913, 1.302884, 0.561842, 0.506941, 0.749163, 0.866486]
pca: [[-0.436959, 0.295247, 0.738997, 0.308080, -0.269222, -0.034973, 0.084636, 0.000000, 0.000000, 0.000000], [0.431585, -0.088189, -0.092348, 0.626984, -0.309829, -0.535484, -0.146907, 0.000000, 0.000000, 0.000000], [0.576341, -0.063774, 0.382711, 0.265870, 0.234034, 0.615774, -0.112515, 0.000000, 0.000000, 0.000000], [0.038701, 0.832193, -0.424860, 0.227007, -0.068479, 0.254343, 0.067369, 0.000000, 0.000000, 0.000000], [0.219993, -0.149520, -0.024648, -0.061600, -0.405339, 0.132092, 0.862031, 0.000000, 0.000000, 0.000000], [-0.326499, -0.194446, -0.164838, 0.552481, 0.617072, -0.016280, 0.377014, 0.000000, 0.000000, 0.000000], [-0.366245, -0.385064, -0.301002, 0.284127, -0.476431, 0.500452, -0.262337, 0.000000, 0.000000, 0.000000]]
fourier: [[15.475013, 16.846611, 17.641295, 19.533264, 19.886309], [14.663207, 16.743718, 17.113592, 18.337161, 18.568723], [22.142594, 23.461985, 23.719191, 24.224806, 24.416690], [9.156906, 9.465769, 11.261656, 11.303325, 99.003010], [8.369497, 8.955596, 9.810412, 9.972928, 26.842112], [10.749110, 11.395980, 12.823214, 13.249358, 14.189045], [12.371663, 13.667356, 14.569115, 16.892618, 49.435544]]
### 8
mean: [-0.704054, -0.330514, 0.464511, -0.300414, -0.234140, 0.618939, -0.423255]
std: [0.874876, 0.886834, 0.770791, 0.908056, 0.872296, 0.634607, 0.531386]
pca: [[0.406034, 0.767399, 0.172088, -0.220655, -0.351153, 0.207341, 0.040414, 0.000000, 0.000000, 0.000000], [0.421583, -0.446811, 0.311670, -0.029434, 0.109694, 0.680582, 0.222257, 0.000000, 0.000000, 0.000000], [-0.370373, 0.037303, 0.526928, 0.011582, -0.131839, -0.202334, 0.724793, 0.000000, 0.000000, 0.000000], [0.436264, 0.115591, 0.190713, 0.804522, 0.180502, -0.282354, 0.019490, 0.000000, 0.000000, 0.000000], [0.414936, -0.429549, 0.176350, -0.262858, -0.520678, -0.506136, -0.125869, 0.000000, 0.000000, 0.000000], [-0.304509, 0.028823, 0.699265, 0.041920, 0.010349, 0.095669, -0.637539, 0.000000, 0.000000, 0.000000], [0.254958, 0.106598, 0.197869, -0.481875, 0.737213, -0.328373, 0.031076, 0.000000, 0.000000, 0.000000]]
fourier: [[14.210342, 15.111582, 15.894176, 18.439763, 63.364837], [14.792953, 15.959551, 16.535386, 16.617023, 29.746259], [13.490006, 13.601880, 14.311400, 15.203175, 41.806017], [15.967143, 16.178419, 16.610866, 18.504677, 27.037240], [14.526626, 15.747952, 16.254308, 16.323941, 21.072570], [11.072628, 11.107309, 11.869867, 12.433068, 55.704477], [9.180727, 9.534347, 9.719975, 10.714890, 38.092944]]
### 10
mean: [0.656105, -0.389902, -0.166264, 0.667079, 0.486735, 0.092744, -0.416033]
std: [0.805506, 0.196155, 0.273586, 0.671670, 0.500557, 0.467525, 0.790132]
pca: [[0.536990, -0.359045, -0.328708, 0.505577, 0.041923, 0.020847, 0.465703, 0.000000, 0.000000, 0.000000], [-0.109116, -0.349220, -0.062832, 0.209775, 0.755799, 0.094927, -0.487794, 0.000000, 0.000000, 0.000000], [0.172391, 0.292441, 0.608770, 0.634922, -0.074045, -0.243251, -0.215358, 0.000000, 0.000000, 0.000000], [0.446550, -0.332164, 0.484787, -0.508304, 0.216128, -0.368438, 0.120045, 0.000000, 0.000000, 0.000000], [0.335870, -0.129634, 0.289114, -0.084662, -0.204128, 0.832944, -0.210161, 0.000000, 0.000000, 0.000000], [0.276459, 0.707483, -0.050169, -0.121621, 0.542115, 0.203497, 0.265386, 0.000000, 0.000000, 0.000000], [-0.530445, -0.189580, 0.443036, 0.130105, 0.198139, 0.245824, 0.608105, 0.000000, 0.000000, 0.000000]]
fourier: [[13.449133, 14.491975, 14.969396, 15.002401, 59.049421], [2.657028, 2.712491, 2.723633, 3.124576, 35.091140], [3.803910, 3.938494, 4.339732, 4.601574, 14.963724], [10.924735, 11.813722, 12.827529, 12.981358, 60.037126], [7.951534, 8.862630, 9.182488, 9.537232, 43.806175], [6.376193, 6.533715, 7.039763, 7.062239, 8.346946], [11.867368, 12.813802, 14.027759, 14.068556, 37.442989]]
### 12
mean: [-0.994245]
std: [0.921629]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.343121, 15.798525, 17.979548, 18.542676, 89.482038]]
## 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.
|
no_repeats
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.2.bias": [
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"network.8.weight": [
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"network.12.bias": [
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}
## Activation Signature
### 0
mean: [1.674830, 1.123909, 1.925487, 0.393452, 1.400795, 1.352367, 0.305522]
std: [1.343404, 2.084793, 1.678249, 0.498209, 1.675204, 1.772312, 1.233782]
pca: [[0.321861, 0.394507, -0.149852, -0.289127, 0.365399, -0.528489, 0.471066, 0.000000, 0.000000, 0.000000], [0.666219, 0.320265, -0.330380, 0.197354, -0.199277, 0.514930, 0.024893, 0.000000, 0.000000, 0.000000], [-0.294909, 0.566088, 0.250227, -0.484083, -0.505185, 0.175285, 0.098415, 0.000000, 0.000000, 0.000000], [-0.074201, -0.018816, 0.170134, -0.359107, 0.675673, 0.612902, 0.063675, 0.000000, 0.000000, 0.000000], [0.313276, 0.282838, 0.791651, 0.304744, 0.140944, -0.123020, -0.259386, 0.000000, 0.000000, 0.000000], [-0.360787, 0.558483, -0.378628, 0.229957, 0.304472, -0.068947, -0.514036, 0.000000, 0.000000, 0.000000], [-0.363003, 0.170542, 0.082244, 0.606970, 0.049581, 0.171130, 0.657437, 0.000000, 0.000000, 0.000000]]
fourier: [[19.870076, 21.846505, 22.203771, 22.500775, 150.734747], [29.352532, 32.245521, 32.547222, 43.671461, 101.151785], [27.853127, 30.049645, 30.702227, 32.400165, 173.293803], [8.293630, 8.321210, 8.655443, 9.111194, 35.410640], [27.135202, 28.184728, 28.658610, 32.139134, 126.071504], [27.242210, 27.295439, 28.078307, 29.419883, 121.713000], [19.749731, 21.704178, 22.017190, 27.496976, 27.994241]]
### 2
mean: [0.523893, -0.926794, 1.060549, 1.800825, 0.045413, 0.639664, 0.223640]
std: [0.915714, 0.636434, 1.452086, 1.767588, 0.273474, 0.452221, 0.612666]
pca: [[0.362352, 0.190155, 0.502356, 0.246720, 0.326679, 0.013638, 0.642187, 0.000000, 0.000000, 0.000000], [0.160276, -0.367945, -0.220534, 0.434162, 0.074740, 0.771557, -0.030175, 0.000000, 0.000000, 0.000000], [-0.500269, 0.723425, -0.145703, 0.255351, -0.173428, 0.286873, 0.166071, 0.000000, 0.000000, 0.000000], [0.768109, 0.439265, -0.264759, -0.022960, -0.340150, 0.013277, -0.174789, 0.000000, 0.000000, 0.000000], [-0.012850, -0.095476, -0.168359, 0.806836, -0.040100, -0.545446, -0.110773, 0.000000, 0.000000, 0.000000], [0.048086, 0.308308, -0.123809, -0.004004, 0.831255, 0.006054, -0.443022, 0.000000, 0.000000, 0.000000], [-0.016538, 0.089390, 0.751001, 0.184121, -0.222088, 0.156506, -0.565699, 0.000000, 0.000000, 0.000000]]
fourier: [[13.236485, 14.064075, 15.115614, 16.502471, 47.150327], [8.531368, 8.555800, 10.905411, 11.652049, 83.411499], [22.638796, 23.902835, 26.591809, 28.492046, 95.449423], [29.740945, 31.402019, 34.188347, 36.869553, 162.074210], [4.272824, 4.504849, 4.757442, 5.420018, 6.944014], [6.829307, 7.722068, 8.200854, 8.317742, 57.569750], [9.938823, 10.108676, 10.425938, 11.028470, 20.127588]]
### 4
mean: [0.713933, 0.492782, 0.743379, 0.176142, -1.370416, -0.245797, -1.275337]
std: [0.846357, 0.946245, 1.261809, 0.813297, 0.756454, 0.245879, 1.071343]
pca: [[-0.277706, -0.478808, -0.048923, 0.461661, 0.618686, 0.183994, 0.247935, 0.000000, 0.000000, 0.000000], [-0.434757, -0.314203, 0.029604, -0.491878, -0.349249, 0.191213, 0.557588, 0.000000, 0.000000, 0.000000], [0.641149, -0.147091, 0.471796, 0.274553, -0.216675, 0.145728, 0.448483, 0.000000, 0.000000, 0.000000], [-0.395314, -0.179390, 0.714982, 0.156232, -0.212753, 0.086599, -0.472414, 0.000000, 0.000000, 0.000000], [-0.069625, 0.547386, 0.095663, -0.055401, 0.185736, 0.804455, 0.040683, 0.000000, 0.000000, 0.000000], [-0.090904, -0.102562, -0.481755, 0.533830, -0.601175, 0.300426, -0.111750, 0.000000, 0.000000, 0.000000], [-0.391675, 0.555025, 0.147310, 0.396350, -0.084442, -0.404283, 0.434936, 0.000000, 0.000000, 0.000000]]
fourier: [[12.491508, 12.708130, 15.151223, 16.519386, 64.253966], [15.320554, 15.745675, 17.580719, 18.655789, 44.350350], [21.639555, 23.829525, 23.843287, 25.251003, 66.904094], [14.035046, 14.098835, 15.269789, 15.852783, 15.919894], [11.412252, 14.010146, 14.232077, 14.460963, 123.337416], [3.628350, 4.281271, 4.447475, 4.450678, 22.121768], [18.002352, 18.823855, 19.263623, 21.567633, 114.780346]]
### 6
mean: [-0.156822, 0.021349, 0.263547, -1.100033, 0.298246, 0.117865, 0.549284]
std: [1.007372, 0.976913, 1.302884, 0.561842, 0.506941, 0.749163, 0.866486]
pca: [[-0.436959, 0.295247, 0.738997, 0.308080, -0.269222, -0.034973, 0.084636, 0.000000, 0.000000, 0.000000], [0.431585, -0.088189, -0.092348, 0.626984, -0.309829, -0.535484, -0.146907, 0.000000, 0.000000, 0.000000], [0.576341, -0.063774, 0.382711, 0.265870, 0.234034, 0.615774, -0.112515, 0.000000, 0.000000, 0.000000], [0.038701, 0.832193, -0.424860, 0.227007, -0.068479, 0.254343, 0.067369, 0.000000, 0.000000, 0.000000], [0.219993, -0.149520, -0.024648, -0.061600, -0.405339, 0.132092, 0.862031, 0.000000, 0.000000, 0.000000], [-0.326499, -0.194446, -0.164838, 0.552481, 0.617072, -0.016280, 0.377014, 0.000000, 0.000000, 0.000000], [-0.366245, -0.385064, -0.301002, 0.284127, -0.476431, 0.500452, -0.262337, 0.000000, 0.000000, 0.000000]]
fourier: [[15.475013, 16.846611, 17.641295, 19.533264, 19.886309], [14.663207, 16.743718, 17.113592, 18.337161, 18.568723], [22.142594, 23.461985, 23.719191, 24.224806, 24.416690], [9.156906, 9.465769, 11.261656, 11.303325, 99.003010], [8.369497, 8.955596, 9.810412, 9.972928, 26.842112], [10.749110, 11.395980, 12.823214, 13.249358, 14.189045], [12.371663, 13.667356, 14.569115, 16.892618, 49.435544]]
### 8
mean: [-0.704054, -0.330514, 0.464511, -0.300414, -0.234140, 0.618939, -0.423255]
std: [0.874876, 0.886834, 0.770791, 0.908056, 0.872296, 0.634607, 0.531386]
pca: [[0.406034, 0.767399, 0.172088, -0.220655, -0.351153, 0.207341, 0.040414, 0.000000, 0.000000, 0.000000], [0.421583, -0.446811, 0.311670, -0.029434, 0.109694, 0.680582, 0.222257, 0.000000, 0.000000, 0.000000], [-0.370373, 0.037303, 0.526928, 0.011582, -0.131839, -0.202334, 0.724793, 0.000000, 0.000000, 0.000000], [0.436264, 0.115591, 0.190713, 0.804522, 0.180502, -0.282354, 0.019490, 0.000000, 0.000000, 0.000000], [0.414936, -0.429549, 0.176350, -0.262858, -0.520678, -0.506136, -0.125869, 0.000000, 0.000000, 0.000000], [-0.304509, 0.028823, 0.699265, 0.041920, 0.010349, 0.095669, -0.637539, 0.000000, 0.000000, 0.000000], [0.254958, 0.106598, 0.197869, -0.481875, 0.737213, -0.328373, 0.031076, 0.000000, 0.000000, 0.000000]]
fourier: [[14.210342, 15.111582, 15.894176, 18.439763, 63.364837], [14.792953, 15.959551, 16.535386, 16.617023, 29.746259], [13.490006, 13.601880, 14.311400, 15.203175, 41.806017], [15.967143, 16.178419, 16.610866, 18.504677, 27.037240], [14.526626, 15.747952, 16.254308, 16.323941, 21.072570], [11.072628, 11.107309, 11.869867, 12.433068, 55.704477], [9.180727, 9.534347, 9.719975, 10.714890, 38.092944]]
### 10
mean: [0.656105, -0.389902, -0.166264, 0.667079, 0.486735, 0.092744, -0.416033]
std: [0.805506, 0.196155, 0.273586, 0.671670, 0.500557, 0.467525, 0.790132]
pca: [[0.536990, -0.359045, -0.328708, 0.505577, 0.041923, 0.020847, 0.465703, 0.000000, 0.000000, 0.000000], [-0.109116, -0.349220, -0.062832, 0.209775, 0.755799, 0.094927, -0.487794, 0.000000, 0.000000, 0.000000], [0.172391, 0.292441, 0.608770, 0.634922, -0.074045, -0.243251, -0.215358, 0.000000, 0.000000, 0.000000], [0.446550, -0.332164, 0.484787, -0.508304, 0.216128, -0.368438, 0.120045, 0.000000, 0.000000, 0.000000], [0.335870, -0.129634, 0.289114, -0.084662, -0.204128, 0.832944, -0.210161, 0.000000, 0.000000, 0.000000], [0.276459, 0.707483, -0.050169, -0.121621, 0.542115, 0.203497, 0.265386, 0.000000, 0.000000, 0.000000], [-0.530445, -0.189580, 0.443036, 0.130105, 0.198139, 0.245824, 0.608105, 0.000000, 0.000000, 0.000000]]
fourier: [[13.449133, 14.491975, 14.969396, 15.002401, 59.049421], [2.657028, 2.712491, 2.723633, 3.124576, 35.091140], [3.803910, 3.938494, 4.339732, 4.601574, 14.963724], [10.924735, 11.813722, 12.827529, 12.981358, 60.037126], [7.951534, 8.862630, 9.182488, 9.537232, 43.806175], [6.376193, 6.533715, 7.039763, 7.062239, 8.346946], [11.867368, 12.813802, 14.027759, 14.068556, 37.442989]]
### 12
mean: [-0.994245]
std: [0.921629]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.343121, 15.798525, 17.979548, 18.542676, 89.482038]]
## 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.
no_repeats
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.251412, 0.336653, 0.139799, 0.412545, 0.174337], [-0.788389, 0.560406, 0.008097, 0.391726, 0.470851], [0.635768, 0.128965, 0.263219, 0.167981, 0.013742], [0.123797, -0.173625, 0.181014, 0.05954, -0.182273], [-0.338171, -0.074129, 0.619277, 0.085093, 0.553741], [0.761894, 0.221719, -0.401819, 0.208369, 0.176985], [0.565118, -0.120816, -0.227254, -0.144849, 0.229707]], "network.0.bias": [-0.017479, -0.353835, -0.027705, 0.27478, -0.202314, 0.174449, 0.324441], "network.2.weight": [[-0.199082, 0.121557, 0.005933, -0.169731, -0.087585, 0.525767, 0.070453], [-0.217758, -0.241871, -0.036118, -0.019163, 0.006341, 0.104654, -0.089646], [0.261493, 0.298602, 0.096735, -0.285675, 0.425051, -0.232688, -0.281164], [0.158514, -0.326792, 0.436129, -0.037349, 0.010372, 0.278939, 0.592595], [0.025245, -0.16486, -0.267275, 0.216736, 0.178078, 0.15917, 0.018539], [-0.229181, 0.295987, 0.326203, -0.060003, 0.060391, -0.136764, 0.080216], [0.121684, 0.063012, -0.326915, -0.394763, -0.069005, 0.439073, -0.085024]], "network.2.bias": [0.070982, -0.263852, -0.013935, 0.489373, 0.169762, 0.071208, 0.200653], "network.4.weight": [[0.218034, 0.021282, 0.573293, -0.08303, 0.32403, 0.419028, 0.161117], [-0.093962, 0.002636, 0.611499, -0.128621, -0.410002, 0.15838, 0.027895], [0.247956, 0.007534, -0.274479, 0.537008, -0.056379, -0.54905, 0.35642], [-0.21124, 0.042118, 0.469938, -0.103174, -0.246976, -0.055595, 0.337891], [-0.322697, -0.101378, -0.484803, -0.2521, -0.060754, 0.063053, -0.149397], [-0.1495, 0.463785, 0.169159, 0.063291, 0.540955, 0.067379, 0.065071], [-0.494886, -0.154446, -0.231294, -0.418588, 0.268656, 0.100921, -0.08746]], "network.4.bias": [-0.200685, -0.017262, 0.223053, -0.120211, -0.213722, -0.492841, -0.098698], "network.6.weight": [[-0.0359, 0.485144, -0.546282, 0.27766, 0.391466, 0.224413, -0.045959], [-0.236639, -0.238951, 0.441239, -0.370257, -0.054679, -0.616755, 0.064617], [-0.415131, -0.436675, 0.600392, -0.227818, -0.28083, -0.572217, -0.342028], [-0.384651, -0.343892, -0.472221, -0.065438, 0.57816, 0.325775, 0.052886], [-0.070537, -0.100264, 0.298916, -0.18515, -0.265007, -0.155095, -0.088106], [0.380949, 0.290847, -0.217326, 0.161306, 0.553214, -0.23563, -0.029823], [0.502145, 0.477751, -0.136756, 0.001632, 0.525261, -0.057784, -0.253856]], "network.6.bias": [-0.00512, 0.031023, 0.265852, -0.18116, 0.173743, -0.135203, 0.08556], "network.8.weight": [[0.240568, -0.210297, -0.514602, -0.065442, -0.688538, 0.199535, -0.150971], [0.421209, -0.315357, -0.213724, 0.256286, -0.304013, 0.08338, 0.358831], [0.027925, 0.236672, 0.262791, -0.339743, 0.411672, -0.17306, -0.33388], [0.458142, -0.165873, -0.630753, -0.439083, -0.025314, 0.075248, 0.167074], [0.204261, -0.12287, -0.230938, -0.267355, -0.487259, 0.238154, 0.381239], [0.124395, 0.380012, 0.09681, -0.244482, 0.2861, -0.106326, -0.379919], [0.149662, -0.327414, -0.173611, 0.047319, -0.178765, 0.39609, -0.108148]], "network.8.bias": [-0.203455, -0.309554, 0.314969, -0.158767, -0.279728, 0.555277, -0.248777], "network.10.weight": [[0.042206, -0.129744, 0.624485, -0.347916, -0.4265, 0.24327, -0.144465], [-0.216885, 0.255796, 0.178263, 0.561594, -0.097378, -0.136928, -0.26596], [-0.495757, -0.036961, 0.163701, -0.404754, -0.0184, -0.100934, -0.321113], [-0.513903, 0.051254, 0.24941, -0.543471, -0.123815, 0.555003, -0.150322], [-0.458895, -0.2408, 0.275975, -0.375865, 0.059367, 0.259459, -0.061638], [-0.491496, -0.522173, -0.039016, -0.095873, -0.29148, 0.065506, -0.155398], [-0.15916, 0.528087, -0.142461, 0.528677, 0.293477, -0.474805, 0.003332]], "network.10.bias": [0.328573, -0.500152, -0.188918, 0.276005, 0.240863, 0.1343, -0.24466], "network.12.weight": [[-0.559645, 0.229084, -0.12567, -0.50141, -0.456278, -0.127208, 0.272782]], "network.12.bias": [-0.118159]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6744080483913422, "train_acc": 0.59, "val_loss": 0.7452619075775146, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6536955535411835, "train_acc": 0.59, "val_loss": 0.6103057861328125, "val_acc": 0.62}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5790627896785736, "train_acc": 0.735, "val_loss": 1.838175654411316, "val_acc": 0.44}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 1.0974060595035553, "train_acc": 0.595, "val_loss": 0.5157796144485474, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5628236830234528, "train_acc": 0.68, "val_loss": 0.5560844540596008, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.5747724771499634, "train_acc": 0.705, "val_loss": 0.5981877446174622, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.5851579904556274, "train_acc": 0.8, "val_loss": 0.5841925144195557, "val_acc": 0.8}], "summary": {"total_epochs": 7, "degraded_epochs": 2, "improved_epochs": 5, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.7452619075775146, "final_val_loss": 0.6103057861328125, "initial_val_acc": 0.44, "final_val_acc": 0.62, "best_val_acc": 0.62}, "improved_stage": {"initial_val_loss": 1.838175654411316, "final_val_loss": 0.5841925144195557, "initial_val_acc": 0.44, "final_val_acc": 0.8, "best_val_acc": 0.8, "best_epoch": 3}, "improvement": 0.18000000000000005, "first_improvement_epoch": 1}}
|
9,415
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.52, "improved_accuracy": 0.92, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2451, "learning_rate": 0.031558919594764374, "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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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-0.36294,
-0.112307,
-0.402733,
0.012527,
-0.247486,
-0.406718
],
[
0.75534,
0.283458,
0.570867,
0.170096,
0.34831,
-0.779516
],
[
-0.366464,
-0.081055,
-0.135613,
-0.335286,
-0.147577,
0.20289
],
[
0.605289,
0.300991,
0.299446,
0.054189,
-0.31768,
-0.480637
],
[
-0.143022,
-0.033493,
-0.252149,
-0.053222,
0.239355,
-0.085843
]
],
"network.8.bias": [
-0.104005,
-0.249238,
0.187414,
-0.097456,
-0.171023,
-0.120265
],
"network.10.weight": [
[
0.327955,
-0.107418,
-0.321209,
-0.08559,
-0.149763,
0.315724
],
[
0.157929,
0.09328,
0.375367,
-0.306395,
0.351822,
0.052556
],
[
-0.19451,
-0.04987,
-0.288502,
0.120986,
-0.031858,
-0.285786
],
[
-0.040655,
-0.31839,
0.481578,
0.288747,
0.452918,
-0.233573
],
[
0.237106,
-0.213121,
-0.171175,
0.32769,
0.027499,
-0.39041
],
[
-0.381087,
0.167069,
0.246506,
0.353922,
0.164616,
0.109912
]
],
"network.10.bias": [
-0.056644,
-0.386145,
-0.015664,
0.005642,
-0.325579,
0.102513
],
"network.12.weight": [
[
0.268448,
-0.670395,
0.121698,
-0.113913,
-0.226593,
0.00962
]
],
"network.12.bias": [
0.590805
]
}
## Activation Signature
### 0
mean: [0.745081, 1.937032, -1.807502, -0.040752, 4.204846, 2.621385]
std: [1.423196, 2.201386, 1.054069, 1.350949, 2.552231, 2.557420]
pca: [[0.183384, -0.585733, 0.597366, 0.158504, -0.370632, 0.322414, 0.000000, 0.000000, 0.000000, 0.000000], [0.484074, 0.180042, -0.424387, 0.629270, -0.135951, 0.372411, 0.000000, 0.000000, 0.000000, 0.000000], [-0.229933, 0.148940, -0.091433, -0.419812, 0.069964, 0.857584, 0.000000, 0.000000, 0.000000, 0.000000], [-0.243818, 0.288639, 0.511651, 0.495063, 0.576465, 0.134367, 0.000000, 0.000000, 0.000000, 0.000000], [0.533177, 0.624460, 0.435580, -0.306537, -0.198174, -0.052950, 0.000000, 0.000000, 0.000000, 0.000000], [0.579179, -0.359243, -0.056334, -0.252193, 0.683864, 0.032426, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.393950, 23.575624, 28.359288, 29.996655, 67.057276], [31.639800, 32.904201, 41.330481, 42.281133, 174.332899], [16.384211, 17.970973, 18.639481, 20.107369, 162.675167], [20.832286, 23.326547, 23.994676, 24.053665, 24.865618], [39.495793, 43.432286, 46.479612, 51.588203, 378.436146], [42.356292, 42.671047, 47.041502, 47.393354, 235.924660]]
### 2
mean: [-1.450192, 3.246742, -3.181785, -1.334539, -1.119366, 0.406481]
std: [0.719410, 3.009774, 2.788410, 0.936373, 0.819506, 1.078744]
pca: [[-0.135486, -0.425265, 0.019593, 0.514641, 0.374856, 0.628520, 0.000000, 0.000000, 0.000000, 0.000000], [0.689257, 0.044081, -0.039081, 0.653027, -0.117726, -0.284871, 0.000000, 0.000000, 0.000000, 0.000000], [-0.637124, -0.201082, -0.107456, 0.441881, -0.474453, -0.348896, 0.000000, 0.000000, 0.000000, 0.000000], [-0.171821, 0.536268, 0.778248, 0.240838, -0.044953, 0.131155, 0.000000, 0.000000, 0.000000, 0.000000], [-0.186903, -0.046961, 0.110511, 0.083296, 0.764343, -0.599576, 0.000000, 0.000000, 0.000000, 0.000000], [-0.190229, 0.697843, -0.607174, 0.220228, 0.185141, 0.159345, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.141626, 12.159451, 13.364472, 14.376843, 130.517280], [50.726846, 50.914579, 52.688378, 58.283346, 292.206799], [46.032780, 46.791538, 49.448201, 54.277238, 286.360657], [15.529828, 16.204811, 16.492921, 17.565994, 120.108489], [13.116366, 14.138273, 14.428893, 16.052559, 100.742941], [18.754136, 18.961374, 20.840712, 23.324197, 36.583304]]
### 4
mean: [1.832442, 1.583157, 0.843320, 0.782722, 1.123990, 1.629967]
std: [1.977216, 1.780307, 1.318952, 1.260004, 1.583959, 2.046720]
pca: [[0.477517, 0.670404, -0.180624, -0.462900, 0.080045, 0.263111, 0.000000, 0.000000, 0.000000, 0.000000], [0.431005, -0.029074, -0.158875, 0.196311, 0.575439, -0.646900, 0.000000, 0.000000, 0.000000, 0.000000], [0.319099, -0.234432, -0.317138, 0.521069, 0.216183, 0.651454, 0.000000, 0.000000, 0.000000, 0.000000], [0.304220, -0.447584, -0.571823, -0.300956, -0.507333, -0.179377, 0.000000, 0.000000, 0.000000, 0.000000], [0.382637, -0.506046, 0.583806, -0.424622, 0.203760, 0.186694, 0.000000, 0.000000, 0.000000, 0.000000], [0.495406, 0.195808, 0.416828, 0.452542, -0.562870, -0.144462, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.542294, 33.830962, 34.563381, 36.877750, 164.919743], [30.872977, 31.020151, 32.036334, 32.164283, 142.484135], [23.158163, 23.451083, 23.470346, 24.059601, 75.898818], [22.025009, 22.296388, 22.973003, 23.315094, 70.444965], [27.587993, 27.980525, 28.880796, 28.975878, 101.159102], [34.922264, 35.453858, 36.349452, 37.275742, 146.697057]]
### 6
mean: [4.371590, 0.113128, 3.482450, 2.977158, -0.187751, 0.454557]
std: [5.485511, 0.549812, 3.831098, 3.386685, 0.038002, 0.225081]
pca: [[0.729349, -0.266131, -0.299689, 0.052866, -0.422119, -0.355573, 0.000000, 0.000000, 0.000000, 0.000000], [0.070512, 0.862841, -0.174926, -0.307092, -0.039747, -0.352205, 0.000000, 0.000000, 0.000000, 0.000000], [0.509386, 0.079993, 0.789250, -0.070015, 0.318675, -0.068954, 0.000000, 0.000000, 0.000000, 0.000000], [0.450285, 0.185817, -0.399892, 0.026427, 0.376600, 0.678436, 0.000000, 0.000000, 0.000000, 0.000000], [-0.001887, 0.206682, -0.068282, 0.900260, 0.258693, -0.274272, 0.000000, 0.000000, 0.000000, 0.000000], [-0.029049, -0.317859, -0.303472, -0.294669, 0.714095, -0.457454, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[93.027383, 93.495479, 93.764811, 99.850642, 393.443065], [8.925773, 9.044442, 9.561889, 10.181491, 11.545670], [64.578877, 64.606449, 65.100875, 70.213563, 313.420502], [57.054632, 57.310044, 57.928507, 62.406465, 267.944237], [0.557520, 0.589379, 0.764905, 0.809483, 16.897613], [3.621965, 3.669990, 3.966059, 4.626295, 40.910151]]
### 8
mean: [-1.419010, -3.454543, 5.773378, -3.134133, 3.596195, -1.844767]
std: [1.479040, 3.428680, 7.118649, 3.708969, 4.824731, 1.916065]
pca: [[-0.144014, 0.748259, -0.532209, -0.358860, -0.029993, -0.080265, 0.000000, 0.000000, 0.000000, 0.000000], [-0.334075, 0.439329, 0.760698, -0.116858, -0.202425, 0.249178, 0.000000, 0.000000, 0.000000, 0.000000], [0.693658, 0.237293, 0.275128, -0.043950, -0.262482, -0.562145, 0.000000, 0.000000, 0.000000, 0.000000], [-0.361410, 0.094187, -0.157040, 0.683139, -0.535959, -0.286215, 0.000000, 0.000000, 0.000000, 0.000000], [0.470127, 0.356611, -0.078594, 0.528521, 0.126242, 0.591912, 0.000000, 0.000000, 0.000000, 0.000000], [-0.186698, 0.233982, 0.177646, 0.331089, 0.765531, -0.427996, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.677939, 24.803650, 25.044322, 26.832895, 127.710895], [57.518849, 57.804633, 57.893037, 62.790199, 310.908884], [118.646653, 119.572262, 120.427865, 131.333419, 519.604046], [61.992477, 62.348825, 62.847993, 68.347060, 282.071944], [80.389574, 80.965755, 81.503810, 89.070844, 323.657571], [32.208702, 32.234878, 32.444198, 35.149029, 166.029028]]
### 10
mean: [-2.475006, 3.093767, -1.808177, 4.475929, -1.217535, 2.142159]
std: [2.988431, 4.330811, 2.197333, 5.563566, 1.083715, 2.529033]
pca: [[-0.354566, 0.307127, 0.526869, -0.238388, 0.047123, 0.665820, 0.000000, 0.000000, 0.000000, 0.000000], [0.513834, 0.271609, -0.570161, -0.120995, -0.081642, 0.561974, 0.000000, 0.000000, 0.000000, 0.000000], [-0.260699, 0.640860, -0.207775, -0.480258, -0.261082, -0.423501, 0.000000, 0.000000, 0.000000, 0.000000], [0.660096, 0.341885, 0.574047, 0.149448, -0.244037, -0.189655, 0.000000, 0.000000, 0.000000, 0.000000], [-0.128569, 0.548076, -0.115705, 0.597328, 0.556634, -0.055253, 0.000000, 0.000000, 0.000000, 0.000000], [0.300061, -0.062669, 0.106008, -0.564578, 0.744013, -0.149984, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[49.443152, 49.819766, 50.153494, 55.335911, 222.750514], [71.527598, 72.027816, 72.491756, 80.279586, 278.439070], [36.426685, 36.729899, 36.986728, 40.635965, 162.735893], [91.886876, 92.529163, 93.125025, 103.131597, 402.833647], [18.005023, 18.168990, 18.301984, 20.012615, 109.578171], [41.807409, 42.113340, 42.390228, 46.853978, 192.794288]]
### 12
mean: [-2.052254]
std: [3.450500]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[56.370280, 56.711993, 57.020865, 64.286342, 184.702860]]
## 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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.347927,
-0.002891,
0.46592,
-0.237556,
0.036158
],
[
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0.349553,
0.26587
],
[
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-0.219438,
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0.005204,
-0.137418
],
[
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0.051577,
0.160717,
-0.222215,
0.212837
],
[
0.420271,
0.303137,
0.402529,
0.728473,
0.355466
],
[
1.015146,
0.282429,
0.234584,
0.320162,
-0.080199
]
],
"network.0.bias": [
-0.19105,
-0.488832,
-0.638121,
0.611194,
0.288042,
-0.234235
],
"network.2.weight": [
[
0.20575,
-0.10206,
-0.09237,
0.083863,
-0.207514,
-0.034187
],
[
0.461353,
0.383077,
-0.139857,
-0.520284,
0.288071,
0.445426
],
[
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-0.461027,
-0.15424,
0.344484,
-0.262132,
-0.407195
],
[
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0.16934,
0.278078,
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-0.528444
],
[
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-0.014185,
-0.32139,
0.048002,
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-0.223741
],
[
-0.392996,
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-0.435861,
0.129007,
0.30471,
-0.367293
]
],
"network.2.bias": [
-0.517046,
-0.120391,
0.017384,
-0.279714,
-0.107554,
0.649817
],
"network.4.weight": [
[
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0.643634,
0.013997,
0.384304,
0.025947,
-0.229362
],
[
0.186152,
0.546309,
-0.054689,
-0.085467,
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-0.490182
],
[
0.312798,
0.392101,
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0.030749,
0.080438,
-0.459432
],
[
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0.360593,
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0.052286,
-0.317215,
-0.540012
],
[
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0.461422,
0.227187,
-0.008465,
-0.254466,
-0.644421
],
[
0.314559,
0.642659,
0.233392,
0.089527,
-0.179164,
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]
],
"network.4.bias": [
-0.121287,
0.136802,
-0.116007,
-0.013074,
0.061969,
-0.162155
],
"network.6.weight": [
[
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0.73634
],
[
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0.440733,
0.418613,
0.231655,
-0.191033
],
[
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0.458166,
0.388198,
0.77278
],
[
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0.256505
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[
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[
0.035205,
0.244383,
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]
],
"network.6.bias": [
-0.446742,
-0.187009,
0.203773,
0.06286,
-0.13459,
0.572558
],
"network.8.weight": [
[
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],
[
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-0.406718
],
[
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],
[
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[
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],
[
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-0.252149,
-0.053222,
0.239355,
-0.085843
]
],
"network.8.bias": [
-0.104005,
-0.249238,
0.187414,
-0.097456,
-0.171023,
-0.120265
],
"network.10.weight": [
[
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-0.08559,
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0.315724
],
[
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0.375367,
-0.306395,
0.351822,
0.052556
],
[
-0.19451,
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0.120986,
-0.031858,
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],
[
-0.040655,
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0.288747,
0.452918,
-0.233573
],
[
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-0.213121,
-0.171175,
0.32769,
0.027499,
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],
[
-0.381087,
0.167069,
0.246506,
0.353922,
0.164616,
0.109912
]
],
"network.10.bias": [
-0.056644,
-0.386145,
-0.015664,
0.005642,
-0.325579,
0.102513
],
"network.12.weight": [
[
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-0.670395,
0.121698,
-0.113913,
-0.226593,
0.00962
]
],
"network.12.bias": [
0.590805
]
}
## Activation Signature
### 0
mean: [0.745081, 1.937032, -1.807502, -0.040752, 4.204846, 2.621385]
std: [1.423196, 2.201386, 1.054069, 1.350949, 2.552231, 2.557420]
pca: [[0.183384, -0.585733, 0.597366, 0.158504, -0.370632, 0.322414, 0.000000, 0.000000, 0.000000, 0.000000], [0.484074, 0.180042, -0.424387, 0.629270, -0.135951, 0.372411, 0.000000, 0.000000, 0.000000, 0.000000], [-0.229933, 0.148940, -0.091433, -0.419812, 0.069964, 0.857584, 0.000000, 0.000000, 0.000000, 0.000000], [-0.243818, 0.288639, 0.511651, 0.495063, 0.576465, 0.134367, 0.000000, 0.000000, 0.000000, 0.000000], [0.533177, 0.624460, 0.435580, -0.306537, -0.198174, -0.052950, 0.000000, 0.000000, 0.000000, 0.000000], [0.579179, -0.359243, -0.056334, -0.252193, 0.683864, 0.032426, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.393950, 23.575624, 28.359288, 29.996655, 67.057276], [31.639800, 32.904201, 41.330481, 42.281133, 174.332899], [16.384211, 17.970973, 18.639481, 20.107369, 162.675167], [20.832286, 23.326547, 23.994676, 24.053665, 24.865618], [39.495793, 43.432286, 46.479612, 51.588203, 378.436146], [42.356292, 42.671047, 47.041502, 47.393354, 235.924660]]
### 2
mean: [-1.450192, 3.246742, -3.181785, -1.334539, -1.119366, 0.406481]
std: [0.719410, 3.009774, 2.788410, 0.936373, 0.819506, 1.078744]
pca: [[-0.135486, -0.425265, 0.019593, 0.514641, 0.374856, 0.628520, 0.000000, 0.000000, 0.000000, 0.000000], [0.689257, 0.044081, -0.039081, 0.653027, -0.117726, -0.284871, 0.000000, 0.000000, 0.000000, 0.000000], [-0.637124, -0.201082, -0.107456, 0.441881, -0.474453, -0.348896, 0.000000, 0.000000, 0.000000, 0.000000], [-0.171821, 0.536268, 0.778248, 0.240838, -0.044953, 0.131155, 0.000000, 0.000000, 0.000000, 0.000000], [-0.186903, -0.046961, 0.110511, 0.083296, 0.764343, -0.599576, 0.000000, 0.000000, 0.000000, 0.000000], [-0.190229, 0.697843, -0.607174, 0.220228, 0.185141, 0.159345, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.141626, 12.159451, 13.364472, 14.376843, 130.517280], [50.726846, 50.914579, 52.688378, 58.283346, 292.206799], [46.032780, 46.791538, 49.448201, 54.277238, 286.360657], [15.529828, 16.204811, 16.492921, 17.565994, 120.108489], [13.116366, 14.138273, 14.428893, 16.052559, 100.742941], [18.754136, 18.961374, 20.840712, 23.324197, 36.583304]]
### 4
mean: [1.832442, 1.583157, 0.843320, 0.782722, 1.123990, 1.629967]
std: [1.977216, 1.780307, 1.318952, 1.260004, 1.583959, 2.046720]
pca: [[0.477517, 0.670404, -0.180624, -0.462900, 0.080045, 0.263111, 0.000000, 0.000000, 0.000000, 0.000000], [0.431005, -0.029074, -0.158875, 0.196311, 0.575439, -0.646900, 0.000000, 0.000000, 0.000000, 0.000000], [0.319099, -0.234432, -0.317138, 0.521069, 0.216183, 0.651454, 0.000000, 0.000000, 0.000000, 0.000000], [0.304220, -0.447584, -0.571823, -0.300956, -0.507333, -0.179377, 0.000000, 0.000000, 0.000000, 0.000000], [0.382637, -0.506046, 0.583806, -0.424622, 0.203760, 0.186694, 0.000000, 0.000000, 0.000000, 0.000000], [0.495406, 0.195808, 0.416828, 0.452542, -0.562870, -0.144462, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.542294, 33.830962, 34.563381, 36.877750, 164.919743], [30.872977, 31.020151, 32.036334, 32.164283, 142.484135], [23.158163, 23.451083, 23.470346, 24.059601, 75.898818], [22.025009, 22.296388, 22.973003, 23.315094, 70.444965], [27.587993, 27.980525, 28.880796, 28.975878, 101.159102], [34.922264, 35.453858, 36.349452, 37.275742, 146.697057]]
### 6
mean: [4.371590, 0.113128, 3.482450, 2.977158, -0.187751, 0.454557]
std: [5.485511, 0.549812, 3.831098, 3.386685, 0.038002, 0.225081]
pca: [[0.729349, -0.266131, -0.299689, 0.052866, -0.422119, -0.355573, 0.000000, 0.000000, 0.000000, 0.000000], [0.070512, 0.862841, -0.174926, -0.307092, -0.039747, -0.352205, 0.000000, 0.000000, 0.000000, 0.000000], [0.509386, 0.079993, 0.789250, -0.070015, 0.318675, -0.068954, 0.000000, 0.000000, 0.000000, 0.000000], [0.450285, 0.185817, -0.399892, 0.026427, 0.376600, 0.678436, 0.000000, 0.000000, 0.000000, 0.000000], [-0.001887, 0.206682, -0.068282, 0.900260, 0.258693, -0.274272, 0.000000, 0.000000, 0.000000, 0.000000], [-0.029049, -0.317859, -0.303472, -0.294669, 0.714095, -0.457454, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[93.027383, 93.495479, 93.764811, 99.850642, 393.443065], [8.925773, 9.044442, 9.561889, 10.181491, 11.545670], [64.578877, 64.606449, 65.100875, 70.213563, 313.420502], [57.054632, 57.310044, 57.928507, 62.406465, 267.944237], [0.557520, 0.589379, 0.764905, 0.809483, 16.897613], [3.621965, 3.669990, 3.966059, 4.626295, 40.910151]]
### 8
mean: [-1.419010, -3.454543, 5.773378, -3.134133, 3.596195, -1.844767]
std: [1.479040, 3.428680, 7.118649, 3.708969, 4.824731, 1.916065]
pca: [[-0.144014, 0.748259, -0.532209, -0.358860, -0.029993, -0.080265, 0.000000, 0.000000, 0.000000, 0.000000], [-0.334075, 0.439329, 0.760698, -0.116858, -0.202425, 0.249178, 0.000000, 0.000000, 0.000000, 0.000000], [0.693658, 0.237293, 0.275128, -0.043950, -0.262482, -0.562145, 0.000000, 0.000000, 0.000000, 0.000000], [-0.361410, 0.094187, -0.157040, 0.683139, -0.535959, -0.286215, 0.000000, 0.000000, 0.000000, 0.000000], [0.470127, 0.356611, -0.078594, 0.528521, 0.126242, 0.591912, 0.000000, 0.000000, 0.000000, 0.000000], [-0.186698, 0.233982, 0.177646, 0.331089, 0.765531, -0.427996, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.677939, 24.803650, 25.044322, 26.832895, 127.710895], [57.518849, 57.804633, 57.893037, 62.790199, 310.908884], [118.646653, 119.572262, 120.427865, 131.333419, 519.604046], [61.992477, 62.348825, 62.847993, 68.347060, 282.071944], [80.389574, 80.965755, 81.503810, 89.070844, 323.657571], [32.208702, 32.234878, 32.444198, 35.149029, 166.029028]]
### 10
mean: [-2.475006, 3.093767, -1.808177, 4.475929, -1.217535, 2.142159]
std: [2.988431, 4.330811, 2.197333, 5.563566, 1.083715, 2.529033]
pca: [[-0.354566, 0.307127, 0.526869, -0.238388, 0.047123, 0.665820, 0.000000, 0.000000, 0.000000, 0.000000], [0.513834, 0.271609, -0.570161, -0.120995, -0.081642, 0.561974, 0.000000, 0.000000, 0.000000, 0.000000], [-0.260699, 0.640860, -0.207775, -0.480258, -0.261082, -0.423501, 0.000000, 0.000000, 0.000000, 0.000000], [0.660096, 0.341885, 0.574047, 0.149448, -0.244037, -0.189655, 0.000000, 0.000000, 0.000000, 0.000000], [-0.128569, 0.548076, -0.115705, 0.597328, 0.556634, -0.055253, 0.000000, 0.000000, 0.000000, 0.000000], [0.300061, -0.062669, 0.106008, -0.564578, 0.744013, -0.149984, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[49.443152, 49.819766, 50.153494, 55.335911, 222.750514], [71.527598, 72.027816, 72.491756, 80.279586, 278.439070], [36.426685, 36.729899, 36.986728, 40.635965, 162.735893], [91.886876, 92.529163, 93.125025, 103.131597, 402.833647], [18.005023, 18.168990, 18.301984, 20.012615, 109.578171], [41.807409, 42.113340, 42.390228, 46.853978, 192.794288]]
### 12
mean: [-2.052254]
std: [3.450500]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[56.370280, 56.711993, 57.020865, 64.286342, 184.702860]]
## 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
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.347927, -0.002891, 0.46592, -0.237556, 0.036158], [0.708, 0.507728, -0.219207, 0.349553, 0.26587], [-0.341455, -0.219438, -0.089172, 0.005204, -0.137418], [-0.697197, 0.051577, 0.160717, -0.222215, 0.212837], [0.420271, 0.303137, 0.402529, 0.728473, 0.355466], [1.015146, 0.282429, 0.234584, 0.320162, -0.080199]], "network.0.bias": [-0.19105, -0.488832, -0.638121, 0.611194, 0.288042, -0.234235], "network.2.weight": [[0.20575, -0.10206, -0.09237, 0.083863, -0.207514, -0.034187], [0.461353, 0.383077, -0.139857, -0.520284, 0.288071, 0.445426], [-0.247774, -0.461027, -0.15424, 0.344484, -0.262132, -0.407195], [-0.180881, 0.16934, 0.278078, -0.552641, 0.106012, -0.528444], [-0.003325, -0.014185, -0.32139, 0.048002, -0.097687, -0.223741], [-0.392996, -0.114764, -0.435861, 0.129007, 0.30471, -0.367293]], "network.2.bias": [-0.517046, -0.120391, 0.017384, -0.279714, -0.107554, 0.649817], "network.4.weight": [[-0.240255, 0.643634, 0.013997, 0.384304, 0.025947, -0.229362], [0.186152, 0.546309, -0.054689, -0.085467, -0.3164, -0.490182], [0.312798, 0.392101, -0.153949, 0.030749, 0.080438, -0.459432], [-0.467554, 0.360593, -0.292423, 0.052286, -0.317215, -0.540012], [-0.274823, 0.461422, 0.227187, -0.008465, -0.254466, -0.644421], [0.314559, 0.642659, 0.233392, 0.089527, -0.179164, -0.456772]], "network.4.bias": [-0.121287, 0.136802, -0.116007, -0.013074, 0.061969, -0.162155], "network.6.weight": [[0.552101, 0.578224, 0.295264, 0.438267, 0.740326, 0.73634], [-0.230191, -0.01121, 0.440733, 0.418613, 0.231655, -0.191033], [0.267927, 0.090083, 0.437195, 0.458166, 0.388198, 0.77278], [0.195651, 0.450213, 0.549122, 0.214497, 0.539916, 0.256505], [-0.12463, -0.073049, 0.014929, -0.116613, 0.243418, 0.053757], [0.035205, 0.244383, -0.043301, -0.113127, -0.261019, -0.069816]], "network.6.bias": [-0.446742, -0.187009, 0.203773, 0.06286, -0.13459, 0.572558], "network.8.weight": [[-0.071291, 0.368352, -0.407692, 0.096417, -0.029648, 0.088564], [-0.36294, -0.112307, -0.402733, 0.012527, -0.247486, -0.406718], [0.75534, 0.283458, 0.570867, 0.170096, 0.34831, -0.779516], [-0.366464, -0.081055, -0.135613, -0.335286, -0.147577, 0.20289], [0.605289, 0.300991, 0.299446, 0.054189, -0.31768, -0.480637], [-0.143022, -0.033493, -0.252149, -0.053222, 0.239355, -0.085843]], "network.8.bias": [-0.104005, -0.249238, 0.187414, -0.097456, -0.171023, -0.120265], "network.10.weight": [[0.327955, -0.107418, -0.321209, -0.08559, -0.149763, 0.315724], [0.157929, 0.09328, 0.375367, -0.306395, 0.351822, 0.052556], [-0.19451, -0.04987, -0.288502, 0.120986, -0.031858, -0.285786], [-0.040655, -0.31839, 0.481578, 0.288747, 0.452918, -0.233573], [0.237106, -0.213121, -0.171175, 0.32769, 0.027499, -0.39041], [-0.381087, 0.167069, 0.246506, 0.353922, 0.164616, 0.109912]], "network.10.bias": [-0.056644, -0.386145, -0.015664, 0.005642, -0.325579, 0.102513], "network.12.weight": [[0.268448, -0.670395, 0.121698, -0.113913, -0.226593, 0.00962]], "network.12.bias": [0.590805]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7277179062366486, "train_acc": 0.44, "val_loss": 0.7026708722114563, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7052741646766663, "train_acc": 0.44, "val_loss": 0.6852441430091858, "val_acc": 0.7}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6822109222412109, "train_acc": 0.63, "val_loss": 0.671165943145752, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6612656712532043, "train_acc": 0.56, "val_loss": 0.6431321501731873, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6467289626598358, "train_acc": 0.495, "val_loss": 0.5868865251541138, "val_acc": 0.52}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5705569982528687, "train_acc": 0.59, "val_loss": 0.5448681712150574, "val_acc": 0.7}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5424223244190216, "train_acc": 0.69, "val_loss": 0.47711777687072754, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.48867009580135345, "train_acc": 0.805, "val_loss": 0.4376557171344757, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.44985082745552063, "train_acc": 0.815, "val_loss": 0.3976467251777649, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.4493371695280075, "train_acc": 0.82, "val_loss": 0.3657246530056, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.37777291238307953, "train_acc": 0.87, "val_loss": 0.35039740800857544, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.34864701330661774, "train_acc": 0.925, "val_loss": 0.3399692475795746, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.32110127806663513, "train_acc": 0.925, "val_loss": 0.31838908791542053, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.2908680588006973, "train_acc": 0.94, "val_loss": 0.30115872621536255, "val_acc": 0.92}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.7026708722114563, "final_val_loss": 0.6431321501731873, "initial_val_acc": 0.48, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.5868865251541138, "final_val_loss": 0.30115872621536255, "initial_val_acc": 0.52, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 10}, "improvement": 0.4, "first_improvement_epoch": 3}}
|
9,416
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.4, "improved_accuracy": 0.9, "improvement": 0.5, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4712, "learning_rate": 0.07030463262366661, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "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: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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0.136001
],
[
0.302492,
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0.387477,
0.23825,
0.044246,
-0.665232,
-0.411684,
0.123107
],
[
0.277783,
0.30711,
0.820197,
0.013758,
0.376237,
-0.557753,
-0.148787,
0.226311
],
[
-0.363543,
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0.02381,
-0.023566,
-0.170809,
0.893203,
0.218365,
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],
[
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0.621184,
-0.229995,
0.110023,
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],
[
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0.039997,
0.154814,
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0.257052,
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0.411192,
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],
[
0.116871,
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0.31814,
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],
[
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]
],
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-0.27085,
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0.23002,
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0.00625,
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],
"network.10.weight": [
[
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0.340787,
-0.030157,
0.065696,
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]
],
"network.10.bias": [
0.445216
]
}
## Activation Signature
### 0
mean: [0.443491, 1.058431, -2.895214, 0.661208, 0.247568, 1.834752, 2.754540, 0.185285]
std: [2.473115, 1.310208, 2.458280, 2.992243, 2.636712, 3.039466, 2.792989, 1.004373]
pca: [[-0.392422, 0.258415, 0.244632, -0.306044, 0.058754, 0.305295, 0.655586, 0.315070, 0.000000, 0.000000], [0.186375, 0.070775, -0.087467, 0.667053, -0.444616, -0.162929, 0.531821, 0.024131, 0.000000, 0.000000], [-0.326848, -0.354313, 0.581379, 0.264489, -0.033124, -0.316043, -0.219759, 0.458697, 0.000000, 0.000000], [-0.475408, 0.130168, -0.579996, 0.040964, -0.398807, 0.128102, -0.309110, 0.384661, 0.000000, 0.000000], [-0.436268, 0.001431, -0.347489, 0.273643, 0.645918, -0.374528, 0.184401, -0.150180, 0.000000, 0.000000], [0.481897, 0.374938, -0.136633, -0.121617, 0.246174, -0.362592, -0.022722, 0.633361, 0.000000, 0.000000], [-0.186367, 0.802777, 0.342963, 0.189168, -0.058874, -0.097054, -0.289262, -0.266178, 0.000000, 0.000000], [0.145392, 0.026459, 0.032674, 0.514091, 0.396790, 0.694833, -0.159180, 0.217327, 0.000000, 0.000000]]
fourier: [[37.699614, 39.914187, 42.695678, 46.662477, 47.299172], [21.345158, 21.935308, 23.009860, 28.802940, 95.258812], [38.768032, 42.083550, 42.454753, 43.959738, 260.569193], [42.333759, 44.856135, 54.852839, 59.508731, 64.982097], [34.713106, 36.536095, 39.381586, 49.107522, 53.024104], [45.470704, 48.817363, 49.159978, 54.439767, 165.127661], [45.366746, 51.493403, 51.893349, 62.214511, 247.908630], [15.311493, 15.904494, 15.940303, 16.675634, 20.978163]]
### 2
mean: [2.624594, -0.379806, 2.044913, -0.753149, 4.962239, -0.854337, 2.889872, 2.182010]
std: [3.410570, 2.637325, 4.323837, 1.105504, 4.669619, 4.618334, 3.735324, 2.382692]
pca: [[0.361034, 0.076980, 0.040208, 0.479257, -0.505316, 0.468986, -0.254662, -0.303776, 0.000000, 0.000000], [-0.264560, -0.006231, 0.583039, 0.054860, 0.204586, 0.624937, 0.114574, 0.376161, 0.000000, 0.000000], [0.456888, -0.170598, -0.128596, 0.313227, -0.040615, -0.052698, 0.714459, 0.364175, 0.000000, 0.000000], [-0.063536, 0.159589, -0.489869, -0.073619, 0.440240, 0.499253, 0.305954, -0.434086, 0.000000, 0.000000], [0.473468, 0.360047, 0.550319, -0.349511, 0.103349, -0.125540, 0.225458, -0.379358, 0.000000, 0.000000], [-0.428197, 0.695991, 0.042759, 0.446257, -0.107284, -0.246257, 0.241625, -0.027114, 0.000000, 0.000000], [0.387463, 0.255506, -0.058082, 0.339916, 0.623105, -0.087067, -0.449741, 0.259934, 0.000000, 0.000000], [0.170955, 0.510042, -0.306412, -0.476368, -0.311270, 0.231284, -0.080497, 0.482654, 0.000000, 0.000000]]
fourier: [[55.073605, 55.629742, 75.297558, 78.120666, 236.213488], [38.160600, 38.362791, 50.395640, 50.809539, 57.551242], [66.028283, 74.473960, 92.029663, 99.525290, 184.042146], [17.429578, 17.547325, 18.681043, 21.331649, 67.783383], [83.436274, 91.590430, 94.976545, 98.463979, 446.601531], [73.179836, 73.293511, 76.890315, 78.598220, 102.055987], [64.667719, 67.841019, 75.650330, 85.046581, 260.088497], [38.811300, 40.808274, 46.696899, 50.853258, 196.380937]]
### 4
mean: [6.100854, 3.332654, 0.648250, 2.287878, 6.455336, -4.753192, -2.740351, -2.068863]
std: [7.747060, 4.736379, 2.317196, 3.213015, 7.677227, 6.270554, 1.660033, 5.019083]
pca: [[0.531763, -0.051290, 0.061274, -0.084952, -0.078602, -0.512395, 0.658624, -0.033375, 0.000000, 0.000000], [0.314134, -0.406703, 0.201005, 0.128971, 0.216379, 0.732738, 0.308463, -0.000997, 0.000000, 0.000000], [0.140510, -0.277761, 0.355399, 0.577487, 0.159563, -0.330312, -0.308157, 0.462362, 0.000000, 0.000000], [0.172238, 0.674057, -0.300696, 0.200698, 0.283679, 0.190928, 0.174402, 0.487791, 0.000000, 0.000000], [0.525386, -0.050693, -0.299427, -0.147869, 0.523894, -0.107684, -0.457737, -0.338074, 0.000000, 0.000000], [-0.429446, 0.110555, 0.127204, 0.367085, 0.567112, -0.154751, 0.315050, -0.455633, 0.000000, 0.000000], [0.008461, 0.281711, 0.719599, -0.541184, 0.292329, -0.001417, -0.081093, 0.133529, 0.000000, 0.000000], [-0.329564, -0.454208, -0.339787, -0.391001, 0.399412, -0.139432, 0.174164, 0.455457, 0.000000, 0.000000]]
fourier: [[133.687331, 135.547713, 152.222127, 173.668596, 549.076920], [72.758871, 83.356360, 84.498003, 106.580417, 299.938861], [37.981162, 37.984889, 38.564375, 51.171549, 58.342448], [42.800213, 44.908654, 58.116438, 79.916551, 205.908997], [134.545824, 140.293796, 153.346674, 169.569993, 580.980301], [112.316128, 113.426210, 122.964269, 141.165137, 427.787319], [22.687158, 28.889293, 30.237976, 33.175393, 246.631596], [77.561694, 89.582606, 106.082005, 109.313578, 186.197722]]
### 6
mean: [5.061282, 2.028876, 9.307375, 2.906269, 4.752738, 0.851084, -1.809072, 2.497424]
std: [6.623651, 3.219831, 11.202673, 4.402148, 6.044751, 1.588217, 3.551071, 3.956718]
pca: [[0.411340, -0.153751, 0.254702, -0.329130, -0.030881, 0.410693, 0.238255, 0.638414, 0.000000, 0.000000], [0.196584, -0.225396, -0.070061, -0.029348, 0.055749, -0.451202, 0.815968, -0.179686, 0.000000, 0.000000], [0.689191, 0.613303, -0.303613, 0.118217, -0.177563, -0.067913, -0.056646, -0.058038, 0.000000, 0.000000], [0.267804, -0.329679, 0.213075, 0.374379, -0.268564, 0.530223, 0.072118, -0.524946, 0.000000, 0.000000], [0.375466, -0.145506, 0.120169, -0.160901, 0.816277, -0.023614, -0.252012, -0.259130, 0.000000, 0.000000], [-0.045133, 0.435344, 0.846301, -0.120824, -0.090867, -0.187688, 0.063681, -0.173426, 0.000000, 0.000000], [-0.212246, 0.355896, 0.023998, 0.593828, 0.461424, 0.299358, 0.354540, 0.216463, 0.000000, 0.000000], [0.239563, -0.321512, 0.247781, 0.586138, -0.069331, -0.465403, -0.275241, 0.370301, 0.000000, 0.000000]]
fourier: [[111.631976, 116.053119, 143.236113, 145.300933, 455.515357], [52.413454, 52.661890, 68.905879, 73.605772, 182.598871], [193.782530, 206.706259, 211.436743, 245.673071, 837.663691], [70.767168, 70.937010, 92.967651, 101.996471, 261.564245], [102.794160, 105.566744, 131.659129, 132.083308, 427.746463], [25.581925, 26.369668, 26.705020, 33.851029, 76.597580], [56.344468, 56.883818, 74.103206, 83.399793, 162.816463], [63.024872, 63.774265, 83.483598, 91.693077, 224.768147]]
### 8
mean: [2.281275, 5.458445, 11.396896, -1.362377, 4.443489, 0.359513, 2.899000, -10.238510]
std: [4.144500, 8.346055, 15.331011, 4.035960, 6.613758, 2.108627, 5.173334, 13.407648]
pca: [[0.169850, 0.190343, -0.205748, -0.616553, 0.476511, 0.156825, 0.485426, 0.158605, 0.000000, 0.000000], [0.344187, 0.071235, -0.268435, -0.195238, -0.376819, 0.683894, -0.265207, -0.293678, 0.000000, 0.000000], [0.632610, 0.283468, 0.220534, 0.226588, -0.080671, 0.001337, -0.080777, 0.637525, 0.000000, 0.000000], [-0.159870, 0.175623, 0.663634, 0.188050, -0.066203, 0.454952, 0.478958, -0.164499, 0.000000, 0.000000], [0.268628, 0.566698, 0.244700, -0.143104, 0.122895, -0.391964, -0.204669, -0.561878, 0.000000, 0.000000], [0.083479, 0.121697, -0.330619, 0.639494, 0.605812, 0.247637, -0.021845, -0.176495, 0.000000, 0.000000], [0.211786, 0.093488, -0.402217, 0.255444, -0.451743, -0.280607, 0.635915, -0.179377, 0.000000, 0.000000], [-0.550408, 0.709084, -0.256123, 0.018896, -0.184041, 0.083735, -0.106518, 0.275801, 0.000000, 0.000000]]
fourier: [[70.464089, 71.799409, 82.625432, 91.951867, 205.314788], [139.680198, 143.796644, 175.304164, 182.673698, 491.260047], [260.390416, 272.635170, 316.119645, 336.279544, 1025.720755], [61.577376, 70.936696, 83.881593, 88.489993, 122.613973], [114.634338, 120.298588, 122.239836, 146.611840, 399.914022], [32.356196, 32.704876, 39.299553, 40.757340, 44.141198], [85.783789, 89.510949, 107.428954, 112.179330, 260.910015], [221.699393, 233.643502, 288.277914, 299.525102, 921.465944]]
### 10
mean: [-4.182911]
std: [6.540295]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[108.187853, 117.368747, 135.721943, 143.573744, 376.462045]]
## 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.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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[
-0.131361,
-0.270327,
-0.202456,
0.340787,
-0.030157,
0.065696,
-0.125023,
-0.483762
]
],
"network.10.bias": [
0.445216
]
}
## Activation Signature
### 0
mean: [0.443491, 1.058431, -2.895214, 0.661208, 0.247568, 1.834752, 2.754540, 0.185285]
std: [2.473115, 1.310208, 2.458280, 2.992243, 2.636712, 3.039466, 2.792989, 1.004373]
pca: [[-0.392422, 0.258415, 0.244632, -0.306044, 0.058754, 0.305295, 0.655586, 0.315070, 0.000000, 0.000000], [0.186375, 0.070775, -0.087467, 0.667053, -0.444616, -0.162929, 0.531821, 0.024131, 0.000000, 0.000000], [-0.326848, -0.354313, 0.581379, 0.264489, -0.033124, -0.316043, -0.219759, 0.458697, 0.000000, 0.000000], [-0.475408, 0.130168, -0.579996, 0.040964, -0.398807, 0.128102, -0.309110, 0.384661, 0.000000, 0.000000], [-0.436268, 0.001431, -0.347489, 0.273643, 0.645918, -0.374528, 0.184401, -0.150180, 0.000000, 0.000000], [0.481897, 0.374938, -0.136633, -0.121617, 0.246174, -0.362592, -0.022722, 0.633361, 0.000000, 0.000000], [-0.186367, 0.802777, 0.342963, 0.189168, -0.058874, -0.097054, -0.289262, -0.266178, 0.000000, 0.000000], [0.145392, 0.026459, 0.032674, 0.514091, 0.396790, 0.694833, -0.159180, 0.217327, 0.000000, 0.000000]]
fourier: [[37.699614, 39.914187, 42.695678, 46.662477, 47.299172], [21.345158, 21.935308, 23.009860, 28.802940, 95.258812], [38.768032, 42.083550, 42.454753, 43.959738, 260.569193], [42.333759, 44.856135, 54.852839, 59.508731, 64.982097], [34.713106, 36.536095, 39.381586, 49.107522, 53.024104], [45.470704, 48.817363, 49.159978, 54.439767, 165.127661], [45.366746, 51.493403, 51.893349, 62.214511, 247.908630], [15.311493, 15.904494, 15.940303, 16.675634, 20.978163]]
### 2
mean: [2.624594, -0.379806, 2.044913, -0.753149, 4.962239, -0.854337, 2.889872, 2.182010]
std: [3.410570, 2.637325, 4.323837, 1.105504, 4.669619, 4.618334, 3.735324, 2.382692]
pca: [[0.361034, 0.076980, 0.040208, 0.479257, -0.505316, 0.468986, -0.254662, -0.303776, 0.000000, 0.000000], [-0.264560, -0.006231, 0.583039, 0.054860, 0.204586, 0.624937, 0.114574, 0.376161, 0.000000, 0.000000], [0.456888, -0.170598, -0.128596, 0.313227, -0.040615, -0.052698, 0.714459, 0.364175, 0.000000, 0.000000], [-0.063536, 0.159589, -0.489869, -0.073619, 0.440240, 0.499253, 0.305954, -0.434086, 0.000000, 0.000000], [0.473468, 0.360047, 0.550319, -0.349511, 0.103349, -0.125540, 0.225458, -0.379358, 0.000000, 0.000000], [-0.428197, 0.695991, 0.042759, 0.446257, -0.107284, -0.246257, 0.241625, -0.027114, 0.000000, 0.000000], [0.387463, 0.255506, -0.058082, 0.339916, 0.623105, -0.087067, -0.449741, 0.259934, 0.000000, 0.000000], [0.170955, 0.510042, -0.306412, -0.476368, -0.311270, 0.231284, -0.080497, 0.482654, 0.000000, 0.000000]]
fourier: [[55.073605, 55.629742, 75.297558, 78.120666, 236.213488], [38.160600, 38.362791, 50.395640, 50.809539, 57.551242], [66.028283, 74.473960, 92.029663, 99.525290, 184.042146], [17.429578, 17.547325, 18.681043, 21.331649, 67.783383], [83.436274, 91.590430, 94.976545, 98.463979, 446.601531], [73.179836, 73.293511, 76.890315, 78.598220, 102.055987], [64.667719, 67.841019, 75.650330, 85.046581, 260.088497], [38.811300, 40.808274, 46.696899, 50.853258, 196.380937]]
### 4
mean: [6.100854, 3.332654, 0.648250, 2.287878, 6.455336, -4.753192, -2.740351, -2.068863]
std: [7.747060, 4.736379, 2.317196, 3.213015, 7.677227, 6.270554, 1.660033, 5.019083]
pca: [[0.531763, -0.051290, 0.061274, -0.084952, -0.078602, -0.512395, 0.658624, -0.033375, 0.000000, 0.000000], [0.314134, -0.406703, 0.201005, 0.128971, 0.216379, 0.732738, 0.308463, -0.000997, 0.000000, 0.000000], [0.140510, -0.277761, 0.355399, 0.577487, 0.159563, -0.330312, -0.308157, 0.462362, 0.000000, 0.000000], [0.172238, 0.674057, -0.300696, 0.200698, 0.283679, 0.190928, 0.174402, 0.487791, 0.000000, 0.000000], [0.525386, -0.050693, -0.299427, -0.147869, 0.523894, -0.107684, -0.457737, -0.338074, 0.000000, 0.000000], [-0.429446, 0.110555, 0.127204, 0.367085, 0.567112, -0.154751, 0.315050, -0.455633, 0.000000, 0.000000], [0.008461, 0.281711, 0.719599, -0.541184, 0.292329, -0.001417, -0.081093, 0.133529, 0.000000, 0.000000], [-0.329564, -0.454208, -0.339787, -0.391001, 0.399412, -0.139432, 0.174164, 0.455457, 0.000000, 0.000000]]
fourier: [[133.687331, 135.547713, 152.222127, 173.668596, 549.076920], [72.758871, 83.356360, 84.498003, 106.580417, 299.938861], [37.981162, 37.984889, 38.564375, 51.171549, 58.342448], [42.800213, 44.908654, 58.116438, 79.916551, 205.908997], [134.545824, 140.293796, 153.346674, 169.569993, 580.980301], [112.316128, 113.426210, 122.964269, 141.165137, 427.787319], [22.687158, 28.889293, 30.237976, 33.175393, 246.631596], [77.561694, 89.582606, 106.082005, 109.313578, 186.197722]]
### 6
mean: [5.061282, 2.028876, 9.307375, 2.906269, 4.752738, 0.851084, -1.809072, 2.497424]
std: [6.623651, 3.219831, 11.202673, 4.402148, 6.044751, 1.588217, 3.551071, 3.956718]
pca: [[0.411340, -0.153751, 0.254702, -0.329130, -0.030881, 0.410693, 0.238255, 0.638414, 0.000000, 0.000000], [0.196584, -0.225396, -0.070061, -0.029348, 0.055749, -0.451202, 0.815968, -0.179686, 0.000000, 0.000000], [0.689191, 0.613303, -0.303613, 0.118217, -0.177563, -0.067913, -0.056646, -0.058038, 0.000000, 0.000000], [0.267804, -0.329679, 0.213075, 0.374379, -0.268564, 0.530223, 0.072118, -0.524946, 0.000000, 0.000000], [0.375466, -0.145506, 0.120169, -0.160901, 0.816277, -0.023614, -0.252012, -0.259130, 0.000000, 0.000000], [-0.045133, 0.435344, 0.846301, -0.120824, -0.090867, -0.187688, 0.063681, -0.173426, 0.000000, 0.000000], [-0.212246, 0.355896, 0.023998, 0.593828, 0.461424, 0.299358, 0.354540, 0.216463, 0.000000, 0.000000], [0.239563, -0.321512, 0.247781, 0.586138, -0.069331, -0.465403, -0.275241, 0.370301, 0.000000, 0.000000]]
fourier: [[111.631976, 116.053119, 143.236113, 145.300933, 455.515357], [52.413454, 52.661890, 68.905879, 73.605772, 182.598871], [193.782530, 206.706259, 211.436743, 245.673071, 837.663691], [70.767168, 70.937010, 92.967651, 101.996471, 261.564245], [102.794160, 105.566744, 131.659129, 132.083308, 427.746463], [25.581925, 26.369668, 26.705020, 33.851029, 76.597580], [56.344468, 56.883818, 74.103206, 83.399793, 162.816463], [63.024872, 63.774265, 83.483598, 91.693077, 224.768147]]
### 8
mean: [2.281275, 5.458445, 11.396896, -1.362377, 4.443489, 0.359513, 2.899000, -10.238510]
std: [4.144500, 8.346055, 15.331011, 4.035960, 6.613758, 2.108627, 5.173334, 13.407648]
pca: [[0.169850, 0.190343, -0.205748, -0.616553, 0.476511, 0.156825, 0.485426, 0.158605, 0.000000, 0.000000], [0.344187, 0.071235, -0.268435, -0.195238, -0.376819, 0.683894, -0.265207, -0.293678, 0.000000, 0.000000], [0.632610, 0.283468, 0.220534, 0.226588, -0.080671, 0.001337, -0.080777, 0.637525, 0.000000, 0.000000], [-0.159870, 0.175623, 0.663634, 0.188050, -0.066203, 0.454952, 0.478958, -0.164499, 0.000000, 0.000000], [0.268628, 0.566698, 0.244700, -0.143104, 0.122895, -0.391964, -0.204669, -0.561878, 0.000000, 0.000000], [0.083479, 0.121697, -0.330619, 0.639494, 0.605812, 0.247637, -0.021845, -0.176495, 0.000000, 0.000000], [0.211786, 0.093488, -0.402217, 0.255444, -0.451743, -0.280607, 0.635915, -0.179377, 0.000000, 0.000000], [-0.550408, 0.709084, -0.256123, 0.018896, -0.184041, 0.083735, -0.106518, 0.275801, 0.000000, 0.000000]]
fourier: [[70.464089, 71.799409, 82.625432, 91.951867, 205.314788], [139.680198, 143.796644, 175.304164, 182.673698, 491.260047], [260.390416, 272.635170, 316.119645, 336.279544, 1025.720755], [61.577376, 70.936696, 83.881593, 88.489993, 122.613973], [114.634338, 120.298588, 122.239836, 146.611840, 399.914022], [32.356196, 32.704876, 39.299553, 40.757340, 44.141198], [85.783789, 89.510949, 107.428954, 112.179330, 260.910015], [221.699393, 233.643502, 288.277914, 299.525102, 921.465944]]
### 10
mean: [-4.182911]
std: [6.540295]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[108.187853, 117.368747, 135.721943, 143.573744, 376.462045]]
## 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.
ends_with
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.4434909522533417, "std": 2.4731147289276123, "pca": [-0.39242205023765564, 0.2584145665168762, 0.24463233351707458, -0.3060437738895416, 0.058753807097673416, 0.30529463291168213, 0.655586302280426, 0.3150695562362671, 0.0, 0.0], "fourier": [37.6996142071709, 39.91418698430061, 42.69567768594934, 46.662476522965704, 47.29917210557689]}, "1": {"mean": 1.0584311485290527, "std": 1.3102076053619385, "pca": [0.18637529015541077, 0.07077538222074509, -0.08746697008609772, 0.6670529246330261, -0.44461625814437866, -0.16292928159236908, 0.5318205952644348, 0.024131355807185173, 0.0, 0.0], "fourier": [21.34515810012938, 21.93530798946879, 23.00986010865255, 28.80294000808695, 95.25881168246269]}, "2": {"mean": -2.8952136039733887, "std": 2.458280324935913, "pca": [-0.3268483579158783, -0.3543125092983246, 0.5813788771629333, 0.2644886076450348, -0.03312362730503082, -0.31604310870170593, -0.21975895762443542, 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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6845540702342987, "train_acc": 0.595, "val_loss": 0.7198535203933716, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.633470892906189, "train_acc": 0.595, "val_loss": 0.5974670052528381, "val_acc": 0.4}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.508412554860115, "train_acc": 0.625, "val_loss": 3.9960904121398926, "val_acc": 0.42}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 1.5818504095077515, "train_acc": 0.645, "val_loss": 0.4459041655063629, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4864393174648285, "train_acc": 0.78, "val_loss": 0.47981885075569153, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.5201989710330963, "train_acc": 0.755, "val_loss": 0.49065962433815, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.48999999463558197, "train_acc": 0.775, "val_loss": 0.39392727613449097, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.4669536352157593, "train_acc": 0.79, "val_loss": 0.3401731848716736, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.3958960920572281, "train_acc": 0.78, "val_loss": 0.30545809864997864, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.359865203499794, "train_acc": 0.825, "val_loss": 0.2669315040111542, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.337312251329422, "train_acc": 0.845, "val_loss": 0.2727906107902527, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.3125979155302048, "train_acc": 0.85, "val_loss": 0.30326735973358154, "val_acc": 0.9}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.7198535203933716, "final_val_loss": 0.5974670052528381, "initial_val_acc": 0.4, "final_val_acc": 0.4, "best_val_acc": 0.4}, "improved_stage": {"initial_val_loss": 3.9960904121398926, "final_val_loss": 0.30326735973358154, "initial_val_acc": 0.42, "final_val_acc": 0.9, "best_val_acc": 0.9, "best_epoch": 9}, "improvement": 0.5, "first_improvement_epoch": 1}}
|
9,417
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.48, "improved_accuracy": 0.8, "improvement": 0.32000000000000006, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3519, "learning_rate": 0.047178373633196914, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "starts_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["starts_with"], "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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.05692
],
[
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],
[
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-0.37335
],
[
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-0.501228,
-0.040653,
-0.014624,
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],
[
0.870892,
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-0.029502,
-0.58924
],
[
-0.34109,
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-0.220506
],
[
1.483359,
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]
],
"network.0.bias": [
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"network.2.weight": [
[
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[
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[
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[
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],
[
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[
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[
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],
"network.2.bias": [
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"network.4.weight": [
[
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[
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[
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"network.4.bias": [
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"network.6.weight": [
[
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[
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[
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],
"network.6.bias": [
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"network.8.weight": [
[
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"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [1.217447, 0.646268, -1.582212, -2.412634, -0.700213, -3.158933, 2.390255]
std: [1.306906, 1.432177, 0.988933, 1.399115, 1.892573, 2.017693, 3.718502]
pca: [[-0.008825, -0.358298, 0.399073, 0.661668, -0.283680, -0.324607, 0.297720, 0.000000, 0.000000, 0.000000], [-0.136908, -0.345503, 0.523597, -0.497547, 0.173343, 0.295853, 0.471806, 0.000000, 0.000000, 0.000000], [-0.084550, 0.301473, 0.117552, 0.410223, -0.166547, 0.831052, 0.038449, 0.000000, 0.000000, 0.000000], [-0.219588, 0.362020, 0.060640, 0.300148, 0.795224, -0.163098, 0.260719, 0.000000, 0.000000, 0.000000], [0.275720, 0.546307, -0.105562, -0.168417, -0.351974, -0.173015, 0.657419, 0.000000, 0.000000, 0.000000], [-0.285406, 0.479272, 0.642042, -0.161090, -0.206126, -0.237481, -0.389601, 0.000000, 0.000000, 0.000000], [0.876546, 0.046409, 0.354584, 0.044235, 0.250968, 0.059342, -0.187937, 0.000000, 0.000000, 0.000000]]
fourier: [[20.471732, 20.986056, 22.167735, 24.054146, 109.570238], [22.483854, 24.783913, 25.894084, 26.403774, 58.164083], [15.314800, 18.812161, 19.088787, 20.232356, 142.399053], [21.881221, 22.065268, 22.262388, 27.814800, 217.137034], [33.331464, 33.466518, 34.818419, 35.616805, 63.019202], [31.367482, 32.395524, 40.140997, 41.839438, 284.303945], [57.132146, 58.345993, 66.238990, 71.554525, 215.122984]]
### 2
mean: [-1.820728, -1.174949, 1.709853, 2.146399, -1.966855, -0.253273, 0.005436]
std: [1.769114, 1.227348, 3.265864, 3.695140, 1.360007, 1.691339, 2.076078]
pca: [[-0.220337, 0.711237, 0.567398, 0.160875, 0.164455, -0.091511, -0.249707, 0.000000, 0.000000, 0.000000], [-0.196028, 0.133100, -0.515091, 0.339024, 0.619896, 0.400240, -0.138339, 0.000000, 0.000000, 0.000000], [0.550923, 0.111513, 0.146205, 0.642115, -0.215496, 0.320661, 0.317960, 0.000000, 0.000000, 0.000000], [0.624764, 0.005933, 0.146982, -0.297326, 0.656895, -0.229276, 0.124694, 0.000000, 0.000000, 0.000000], [-0.193069, 0.442698, -0.325468, -0.061724, -0.025713, -0.309796, 0.748578, 0.000000, 0.000000, 0.000000], [-0.278728, -0.157746, 0.427049, -0.309441, 0.164861, 0.626661, 0.446564, 0.000000, 0.000000, 0.000000], [-0.322820, -0.493042, 0.285415, 0.508825, 0.287911, -0.432856, 0.205121, 0.000000, 0.000000, 0.000000]]
fourier: [[31.118401, 32.642470, 33.283908, 35.539427, 163.865535], [18.631893, 19.120085, 21.239926, 23.192357, 105.745399], [50.840834, 53.425376, 55.747466, 59.174024, 153.886750], [59.548670, 59.725535, 60.983339, 67.628581, 193.175904], [22.501726, 23.415931, 23.801051, 26.078574, 177.016945], [26.662321, 27.767635, 29.612649, 31.629157, 32.174543], [33.503291, 34.127405, 34.134586, 34.484380, 39.000530]]
### 4
mean: [-0.607061, 3.227902, -0.671816, 2.302202, -1.274972, 2.060250, -1.293944]
std: [2.761939, 6.377214, 0.366607, 4.007536, 1.326676, 3.993712, 0.815790]
pca: [[-0.303819, -0.178930, 0.747962, -0.275761, -0.289687, -0.290801, -0.267774, 0.000000, 0.000000, 0.000000], [0.702359, 0.180792, 0.018773, -0.330690, -0.586924, -0.025913, 0.138375, 0.000000, 0.000000, 0.000000], [-0.021297, 0.465498, 0.353760, 0.199462, 0.191550, -0.355338, 0.674515, 0.000000, 0.000000, 0.000000], [0.440957, -0.281377, 0.141857, -0.438999, 0.694542, -0.174618, -0.025702, 0.000000, 0.000000, 0.000000], [-0.142279, 0.453413, 0.256192, -0.384720, 0.162313, 0.730878, 0.000935, 0.000000, 0.000000, 0.000000], [0.439747, 0.150719, 0.398230, 0.628740, 0.121280, 0.157094, -0.436597, 0.000000, 0.000000, 0.000000], [-0.076608, 0.641200, -0.265912, -0.196905, 0.107089, -0.446256, -0.512739, 0.000000, 0.000000, 0.000000]]
fourier: [[46.127788, 46.655768, 47.412031, 48.680096, 54.635474], [104.958900, 105.493573, 112.291048, 112.833020, 290.511171], [6.238833, 6.499335, 6.796479, 6.851226, 60.463463], [66.219334, 66.343439, 69.763433, 71.814887, 207.198214], [21.652361, 21.774452, 23.823376, 24.668020, 114.747450], [64.979767, 65.848699, 70.299513, 70.392493, 185.422524], [13.950750, 15.492990, 15.688455, 15.906143, 116.455001]]
### 6
mean: [-0.145190, 5.836803, -2.321184, -1.675360, 1.287416, -1.714713, -0.292449]
std: [0.466940, 9.146485, 4.830046, 1.451097, 2.021390, 2.193222, 2.159303]
pca: [[-0.041501, 0.223761, 0.719231, -0.109312, -0.289582, 0.578883, -0.001854, 0.000000, 0.000000, 0.000000], [0.825506, 0.064259, 0.194704, 0.145302, 0.490130, 0.065390, 0.104328, 0.000000, 0.000000, 0.000000], [-0.435929, -0.037507, 0.110661, 0.563510, 0.390885, 0.149466, 0.551035, 0.000000, 0.000000, 0.000000], [-0.130363, -0.420863, 0.549023, -0.420960, 0.211211, -0.502072, 0.174814, 0.000000, 0.000000, 0.000000], [0.182112, -0.369366, -0.318219, -0.394867, -0.198359, 0.379409, 0.624438, 0.000000, 0.000000, 0.000000], [-0.197567, -0.420048, -0.096869, -0.175007, 0.515979, 0.492068, -0.485954, 0.000000, 0.000000, 0.000000], [-0.193886, 0.674090, -0.143100, -0.534453, 0.415852, 0.010981, 0.169819, 0.000000, 0.000000, 0.000000]]
fourier: [[7.783652, 7.795618, 8.193243, 8.221956, 13.067072], [152.022816, 156.413686, 162.139730, 163.663806, 525.312335], [80.086147, 82.658450, 85.583239, 86.379273, 208.906577], [24.006222, 25.828073, 26.427223, 27.042309, 150.782413], [33.282032, 33.554886, 35.071061, 36.016049, 115.867424], [36.296029, 38.859879, 39.272601, 39.700251, 154.324161], [34.336657, 35.492887, 36.123356, 36.705998, 38.457556]]
### 8
mean: [-5.345385]
std: [8.298125]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[137.946693, 139.562032, 143.086293, 148.404098, 481.084584]]
## 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.
|
starts_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
[
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[
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],
[
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],
[
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[
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],
[
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[
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[
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[
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],
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"network.6.weight": [
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"network.8.weight": [
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"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [1.217447, 0.646268, -1.582212, -2.412634, -0.700213, -3.158933, 2.390255]
std: [1.306906, 1.432177, 0.988933, 1.399115, 1.892573, 2.017693, 3.718502]
pca: [[-0.008825, -0.358298, 0.399073, 0.661668, -0.283680, -0.324607, 0.297720, 0.000000, 0.000000, 0.000000], [-0.136908, -0.345503, 0.523597, -0.497547, 0.173343, 0.295853, 0.471806, 0.000000, 0.000000, 0.000000], [-0.084550, 0.301473, 0.117552, 0.410223, -0.166547, 0.831052, 0.038449, 0.000000, 0.000000, 0.000000], [-0.219588, 0.362020, 0.060640, 0.300148, 0.795224, -0.163098, 0.260719, 0.000000, 0.000000, 0.000000], [0.275720, 0.546307, -0.105562, -0.168417, -0.351974, -0.173015, 0.657419, 0.000000, 0.000000, 0.000000], [-0.285406, 0.479272, 0.642042, -0.161090, -0.206126, -0.237481, -0.389601, 0.000000, 0.000000, 0.000000], [0.876546, 0.046409, 0.354584, 0.044235, 0.250968, 0.059342, -0.187937, 0.000000, 0.000000, 0.000000]]
fourier: [[20.471732, 20.986056, 22.167735, 24.054146, 109.570238], [22.483854, 24.783913, 25.894084, 26.403774, 58.164083], [15.314800, 18.812161, 19.088787, 20.232356, 142.399053], [21.881221, 22.065268, 22.262388, 27.814800, 217.137034], [33.331464, 33.466518, 34.818419, 35.616805, 63.019202], [31.367482, 32.395524, 40.140997, 41.839438, 284.303945], [57.132146, 58.345993, 66.238990, 71.554525, 215.122984]]
### 2
mean: [-1.820728, -1.174949, 1.709853, 2.146399, -1.966855, -0.253273, 0.005436]
std: [1.769114, 1.227348, 3.265864, 3.695140, 1.360007, 1.691339, 2.076078]
pca: [[-0.220337, 0.711237, 0.567398, 0.160875, 0.164455, -0.091511, -0.249707, 0.000000, 0.000000, 0.000000], [-0.196028, 0.133100, -0.515091, 0.339024, 0.619896, 0.400240, -0.138339, 0.000000, 0.000000, 0.000000], [0.550923, 0.111513, 0.146205, 0.642115, -0.215496, 0.320661, 0.317960, 0.000000, 0.000000, 0.000000], [0.624764, 0.005933, 0.146982, -0.297326, 0.656895, -0.229276, 0.124694, 0.000000, 0.000000, 0.000000], [-0.193069, 0.442698, -0.325468, -0.061724, -0.025713, -0.309796, 0.748578, 0.000000, 0.000000, 0.000000], [-0.278728, -0.157746, 0.427049, -0.309441, 0.164861, 0.626661, 0.446564, 0.000000, 0.000000, 0.000000], [-0.322820, -0.493042, 0.285415, 0.508825, 0.287911, -0.432856, 0.205121, 0.000000, 0.000000, 0.000000]]
fourier: [[31.118401, 32.642470, 33.283908, 35.539427, 163.865535], [18.631893, 19.120085, 21.239926, 23.192357, 105.745399], [50.840834, 53.425376, 55.747466, 59.174024, 153.886750], [59.548670, 59.725535, 60.983339, 67.628581, 193.175904], [22.501726, 23.415931, 23.801051, 26.078574, 177.016945], [26.662321, 27.767635, 29.612649, 31.629157, 32.174543], [33.503291, 34.127405, 34.134586, 34.484380, 39.000530]]
### 4
mean: [-0.607061, 3.227902, -0.671816, 2.302202, -1.274972, 2.060250, -1.293944]
std: [2.761939, 6.377214, 0.366607, 4.007536, 1.326676, 3.993712, 0.815790]
pca: [[-0.303819, -0.178930, 0.747962, -0.275761, -0.289687, -0.290801, -0.267774, 0.000000, 0.000000, 0.000000], [0.702359, 0.180792, 0.018773, -0.330690, -0.586924, -0.025913, 0.138375, 0.000000, 0.000000, 0.000000], [-0.021297, 0.465498, 0.353760, 0.199462, 0.191550, -0.355338, 0.674515, 0.000000, 0.000000, 0.000000], [0.440957, -0.281377, 0.141857, -0.438999, 0.694542, -0.174618, -0.025702, 0.000000, 0.000000, 0.000000], [-0.142279, 0.453413, 0.256192, -0.384720, 0.162313, 0.730878, 0.000935, 0.000000, 0.000000, 0.000000], [0.439747, 0.150719, 0.398230, 0.628740, 0.121280, 0.157094, -0.436597, 0.000000, 0.000000, 0.000000], [-0.076608, 0.641200, -0.265912, -0.196905, 0.107089, -0.446256, -0.512739, 0.000000, 0.000000, 0.000000]]
fourier: [[46.127788, 46.655768, 47.412031, 48.680096, 54.635474], [104.958900, 105.493573, 112.291048, 112.833020, 290.511171], [6.238833, 6.499335, 6.796479, 6.851226, 60.463463], [66.219334, 66.343439, 69.763433, 71.814887, 207.198214], [21.652361, 21.774452, 23.823376, 24.668020, 114.747450], [64.979767, 65.848699, 70.299513, 70.392493, 185.422524], [13.950750, 15.492990, 15.688455, 15.906143, 116.455001]]
### 6
mean: [-0.145190, 5.836803, -2.321184, -1.675360, 1.287416, -1.714713, -0.292449]
std: [0.466940, 9.146485, 4.830046, 1.451097, 2.021390, 2.193222, 2.159303]
pca: [[-0.041501, 0.223761, 0.719231, -0.109312, -0.289582, 0.578883, -0.001854, 0.000000, 0.000000, 0.000000], [0.825506, 0.064259, 0.194704, 0.145302, 0.490130, 0.065390, 0.104328, 0.000000, 0.000000, 0.000000], [-0.435929, -0.037507, 0.110661, 0.563510, 0.390885, 0.149466, 0.551035, 0.000000, 0.000000, 0.000000], [-0.130363, -0.420863, 0.549023, -0.420960, 0.211211, -0.502072, 0.174814, 0.000000, 0.000000, 0.000000], [0.182112, -0.369366, -0.318219, -0.394867, -0.198359, 0.379409, 0.624438, 0.000000, 0.000000, 0.000000], [-0.197567, -0.420048, -0.096869, -0.175007, 0.515979, 0.492068, -0.485954, 0.000000, 0.000000, 0.000000], [-0.193886, 0.674090, -0.143100, -0.534453, 0.415852, 0.010981, 0.169819, 0.000000, 0.000000, 0.000000]]
fourier: [[7.783652, 7.795618, 8.193243, 8.221956, 13.067072], [152.022816, 156.413686, 162.139730, 163.663806, 525.312335], [80.086147, 82.658450, 85.583239, 86.379273, 208.906577], [24.006222, 25.828073, 26.427223, 27.042309, 150.782413], [33.282032, 33.554886, 35.071061, 36.016049, 115.867424], [36.296029, 38.859879, 39.272601, 39.700251, 154.324161], [34.336657, 35.492887, 36.123356, 36.705998, 38.457556]]
### 8
mean: [-5.345385]
std: [8.298125]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[137.946693, 139.562032, 143.086293, 148.404098, 481.084584]]
## 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.
starts_with
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.21744704246521, "std": 1.3069055080413818, "pca": [-0.008825011551380157, -0.35829776525497437, 0.3990732729434967, 0.66166752576828, -0.2836798131465912, -0.3246071934700012, 0.2977202832698822, 0.0, 0.0, 0.0], "fourier": [20.471732158438783, 20.98605603078364, 22.167735431340798, 24.054146359539907, 109.57023800909519]}, "1": {"mean": 0.6462675929069519, "std": 1.4321768283843994, "pca": [-0.136907696723938, -0.3455026149749756, 0.5235968232154846, -0.49754735827445984, 0.17334292829036713, 0.29585251212120056, 0.4718058109283447, 0.0, 0.0, 0.0], "fourier": [22.48385447953947, 24.783912806665516, 25.894084187981758, 26.40377422736494, 58.164082795381546]}, "2": {"mean": -1.5822116136550903, "std": 0.9889329075813293, "pca": [-0.08454950898885727, 0.301472544670105, 0.11755242198705673, 0.410223126411438, -0.16654707491397858, 0.8310522437095642, 0.03844866529107094, 0.0, 0.0, 0.0], "fourier": [15.314800353148403, 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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.480775, 0.60128, 0.361083, -0.138543, 0.05692], [-0.467599, 0.233112, 0.366648, -0.365304, 0.542758], [-0.088201, -0.190531, -0.103557, -0.08568, -0.37335], [-0.228246, -0.501228, -0.040653, -0.014624, -0.338901], [0.870892, -0.32393, -0.378629, -0.029502, -0.58924], [-0.34109, -0.461376, -0.047977, -0.56209, -0.220506], [1.483359, 0.626737, 0.189857, -0.112331, -0.697887]], "network.0.bias": [0.192713, 0.151472, -0.26474, -0.680988, 0.387191, -0.316189, 0.107268], "network.2.weight": [[0.211668, -1.078904, 0.130072, -0.160694, 0.066961, -0.150409, -0.495477], [-0.328779, 0.138362, -0.253468, 0.066575, -0.219214, -0.046565, -0.290538], [-0.061684, -0.267191, -0.046525, -0.045356, 0.757208, 0.084775, 0.769859], [-0.094865, -0.209964, 0.085864, 0.344506, 0.490978, -0.537969, 0.96435], [-0.329533, -0.35091, -0.229504, -0.214608, -0.287098, -0.174474, -0.314751], [0.41387, 0.022593, 0.499787, -0.099499, -0.215248, 0.025294, -0.427873], [0.490816, 0.553159, -0.411068, 0.056009, -0.022149, -0.121654, -0.498553]], "network.2.bias": [0.197856, -0.007512, -0.349868, -0.325236, -0.250798, 0.427997, 0.199604], "network.4.weight": [[0.6664, -0.133627, -0.214816, -0.496612, 0.377718, 0.673957, 0.255316], [-0.021814, 0.556413, 0.889151, 0.86287, -0.323755, -0.673785, -0.741301], [-0.072348, -0.329211, 0.032597, -0.128853, 0.173523, 0.094796, -0.366661], [-0.498201, -0.114799, 0.617902, 0.536691, 0.302637, -0.179492, -0.270157], [-0.10515, 0.102027, 0.005719, -0.395471, -0.000191, 0.014567, -0.179066], [-0.211266, -0.009349, 0.436071, 0.653229, 0.176143, 0.042994, -0.676408], [-0.239585, -0.185196, -0.007721, -0.260686, 0.196295, -0.436529, -0.226547]], "network.4.bias": [0.449565, 0.368016, -0.204981, 0.159206, -0.237714, 0.185227, -0.29793], "network.6.weight": [[0.14703, -0.142482, 0.244516, 0.447004, -0.22258, -0.340527, -0.151278], [-0.45003, 0.648662, 0.368141, 0.685931, -0.059846, 0.628371, -0.334588], [0.226979, -0.164475, 0.166471, -0.302561, 0.123542, -0.678922, -0.325483], [-0.168942, -0.158397, 0.003358, 0.02755, 0.322754, -0.178172, -0.223836], [-0.313126, 0.116191, -0.186939, -0.175805, -0.137798, 0.4957, -0.374279], [-0.124439, -0.110084, 0.286821, -0.364633, -0.183899, -0.041525, 0.320901], [0.510643, -0.445312, -0.371893, 0.140181, -0.35011, 0.054368, 0.022622]], "network.6.bias": [-0.007938, 0.573258, 0.475434, -0.619331, 0.331584, -0.230375, 0.543431], "network.8.weight": [[0.062149, -0.771082, 0.469079, 0.152841, -0.486645, -0.372272, 0.437342]], "network.8.bias": [-0.632693]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6946631669998169, "train_acc": 0.455, "val_loss": 0.7021539807319641, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6831521093845367, "train_acc": 0.57, "val_loss": 0.7051382660865784, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6833427548408508, "train_acc": 0.57, "val_loss": 0.7025229930877686, "val_acc": 0.5}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6733189225196838, "train_acc": 0.57, "val_loss": 0.6895500421524048, "val_acc": 0.5}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6648727655410767, "train_acc": 0.57, "val_loss": 0.664130687713623, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6525712311267853, "train_acc": 0.585, "val_loss": 0.6242346167564392, "val_acc": 0.66}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.6342034637928009, "train_acc": 0.7, "val_loss": 0.5974732041358948, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.5968145728111267, "train_acc": 0.725, "val_loss": 0.5845850706100464, "val_acc": 0.7}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.5558960437774658, "train_acc": 0.71, "val_loss": 0.5408003330230713, "val_acc": 0.72}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.5502346754074097, "train_acc": 0.72, "val_loss": 0.49885720014572144, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.5283856689929962, "train_acc": 0.725, "val_loss": 0.4539862871170044, "val_acc": 0.78}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.48671138286590576, "train_acc": 0.75, "val_loss": 0.4408193528652191, "val_acc": 0.78}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.4936916381120682, "train_acc": 0.75, "val_loss": 0.4359876215457916, "val_acc": 0.78}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.4931856095790863, "train_acc": 0.74, "val_loss": 0.4136112928390503, "val_acc": 0.8}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.49621592462062836, "train_acc": 0.745, "val_loss": 0.4052717089653015, "val_acc": 0.8}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.7021539807319641, "final_val_loss": 0.664130687713623, "initial_val_acc": 0.5, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.6242346167564392, "final_val_loss": 0.4052717089653015, "initial_val_acc": 0.66, "final_val_acc": 0.8, "best_val_acc": 0.8, "best_epoch": 13}, "improvement": 0.32000000000000006, "first_improvement_epoch": 4}}
|
9,418
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.38, "improved_accuracy": 0.88, "improvement": 0.5, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1648, "learning_rate": 0.04778389615743316, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "mountain_pattern", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["mountain_pattern"], "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: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
[
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[
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],
[
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],
[
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]
],
"network.0.bias": [
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],
"network.2.weight": [
[
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],
[
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],
[
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],
[
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],
[
-0.428998,
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]
],
"network.2.bias": [
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"network.4.weight": [
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[
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[
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[
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[
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],
"network.4.bias": [
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"network.6.weight": [
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],
[
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0.002993,
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],
[
0.687271,
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],
[
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0.12152,
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],
"network.6.bias": [
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],
"network.8.weight": [
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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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[
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[
0.175577,
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[
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],
"network.10.bias": [
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"network.12.weight": [
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],
"network.12.bias": [
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}
## Activation Signature
### 0
mean: [-0.755639, 2.055115, -0.380321, -0.328602, -0.794578]
std: [2.284561, 2.046111, 0.509806, 2.572209, 2.123742]
pca: [[0.539228, 0.184575, -0.499312, 0.032169, -0.651781, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.312374, 0.913753, -0.058538, 0.246500, 0.057340, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.021835, -0.158491, 0.460977, 0.803809, -0.340288, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.595770, 0.325256, 0.664228, -0.307160, 0.060990, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.506198, -0.008716, -0.305880, 0.444688, 0.672591, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[37.360744, 37.647818, 37.824147, 39.470347, 68.007505], [34.979019, 35.650205, 36.290850, 38.324483, 184.960307], [8.080581, 8.147373, 8.293891, 9.874223, 34.228854], [39.749763, 40.646395, 41.235114, 42.618908, 43.680923], [32.549643, 34.383137, 34.829870, 35.695041, 71.511986]]
### 2
mean: [0.780535, 0.657388, -1.784311, -1.505274, -1.479007]
std: [1.521767, 1.018466, 1.025326, 0.917339, 0.836390]
pca: [[-0.453064, 0.796942, 0.278262, 0.104570, 0.266932, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.297513, -0.534709, 0.499191, 0.478905, 0.383447, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.535769, 0.168255, 0.732089, 0.062285, -0.380537, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.459273, 0.224244, -0.356644, 0.760073, 0.184056, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.456333, 0.019389, 0.101138, -0.422048, 0.776551, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.204108, 25.438094, 25.868514, 26.859173, 70.248123], [15.863100, 17.535813, 18.685314, 19.209060, 59.164938], [16.106823, 17.172327, 17.536742, 17.729319, 160.588023], [14.302224, 15.799275, 16.283556, 17.067475, 135.474681], [13.115462, 13.258234, 14.143888, 14.539468, 133.110638]]
### 4
mean: [0.208535, -0.562870, 0.879856, -0.253034, 0.116357]
std: [1.229199, 0.336417, 0.311505, 0.630407, 1.393974]
pca: [[0.613195, -0.262694, 0.179547, 0.126104, 0.711930, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.162153, -0.382612, -0.408291, 0.811679, -0.042318, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.120239, 0.857728, 0.091910, 0.480033, 0.104721, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.314028, -0.199317, 0.880998, 0.282544, -0.075301, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.696152, -0.095787, 0.128283, 0.122528, -0.689005, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.060303, 18.768131, 18.926867, 19.850755, 20.888094], [4.948233, 5.576908, 5.748079, 5.824333, 50.658315], [4.702070, 4.815177, 4.965760, 6.039497, 79.186993], [9.488726, 9.878035, 10.097564, 10.919017, 22.773016], [19.455227, 20.425018, 21.727644, 22.361713, 23.848453]]
### 6
mean: [-0.353598, 1.039171, 1.030039, -0.622202, 1.011444]
std: [0.460153, 0.121089, 1.320325, 0.807051, 0.160048]
pca: [[-0.282437, 0.343697, 0.357950, 0.791262, -0.218810, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.060350, 0.671274, -0.023861, -0.100025, 0.731556, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.813510, 0.286047, 0.458290, -0.094662, -0.193360, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.496875, 0.086809, 0.639616, -0.552912, -0.175383, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.088905, 0.584727, -0.502159, -0.221872, -0.590593, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.762775, 7.103889, 8.012549, 8.065595, 31.823850], [1.601537, 1.824051, 1.889843, 2.360191, 93.525372], [19.945399, 21.334507, 23.035656, 23.426733, 92.703549], [12.101770, 12.649611, 14.005673, 14.455943, 55.998214], [2.341644, 2.472028, 2.484356, 2.675173, 91.029919]]
### 8
mean: [-0.653319, 1.948975, -0.322082, -0.555668, 0.520001]
std: [0.581501, 0.288694, 0.932803, 0.269183, 0.616559]
pca: [[-0.441013, -0.359063, 0.537574, -0.313965, 0.537607, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.205875, 0.778048, -0.264512, -0.264466, 0.460812, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.709106, -0.299333, -0.281620, -0.279985, 0.499867, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.204173, -0.163079, -0.287529, 0.790807, 0.472938, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.467551, 0.386679, 0.692146, 0.357375, 0.158409, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.819794, 9.440508, 10.127964, 10.361315, 58.798734], [4.154809, 4.314812, 4.616290, 4.859736, 175.407774], [13.632252, 14.867956, 15.786185, 16.406122, 28.987408], [4.082666, 4.352777, 4.685872, 4.807855, 50.010127], [9.357669, 9.971325, 10.728376, 11.024793, 46.800109]]
### 10
mean: [-0.335009, -0.972625, 0.524911, -0.295064, -0.892478]
std: [0.427529, 0.202784, 0.209318, 0.962459, 0.047019]
pca: [[0.392235, 0.039850, -0.189717, 0.789178, 0.431008, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.176711, 0.700876, 0.609914, 0.284620, -0.156660, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.183533, -0.638504, 0.683308, 0.141484, 0.267771, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.883117, -0.023216, 0.345094, -0.244844, -0.201315, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.036678, 0.314578, 0.077540, -0.464997, 0.823080, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.780150, 6.491651, 7.221513, 7.238797, 30.150772], [2.980618, 3.157642, 3.243426, 3.812650, 87.536222], [3.073752, 3.269226, 3.317546, 3.753163, 47.242013], [13.079872, 14.284164, 15.982564, 16.131347, 26.555786], [0.605008, 0.724741, 0.754920, 0.870735, 80.322993]]
### 12
mean: [-0.553271]
std: [0.491443]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.341891, 7.445318, 7.477210, 7.890636, 49.794391]]
## 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.
|
mountain_pattern
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.873322,
-0.584605,
0.342868,
0.401432,
-0.008098
],
[
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-0.257529,
0.371528,
0.582261
],
[
0.08149,
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-0.039293,
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],
[
-0.879055,
-0.596858,
0.216243,
0.676786,
-0.224767
],
[
-0.7449,
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0.295245,
-0.10314
]
],
"network.0.bias": [
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-0.226528,
0.346033,
0.227118,
0.243194
],
"network.2.weight": [
[
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0.68991,
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],
[
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],
[
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-0.414194,
0.175429,
-0.69825
],
[
-0.116374,
-0.469456,
0.036017,
-0.118935,
-0.184449
],
[
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-0.340525
]
],
"network.2.bias": [
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-0.145577,
-0.298644,
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-0.353084
],
"network.4.weight": [
[
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0.014092,
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0.278507
],
[
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0.03551,
0.06282,
-0.390087,
0.072402
],
[
0.228036,
0.118312,
0.233209,
-0.023999,
-0.110813
],
[
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0.205261,
-0.109028,
-0.356051,
-0.386183
],
[
0.802975,
-0.590509,
-0.115863,
-0.341534,
0.104732
]
],
"network.4.bias": [
0.017231,
-0.381132,
0.578571,
-0.058213,
-0.159558
],
"network.6.weight": [
[
-0.206266,
0.211326,
0.300927,
-0.143062,
-0.349031
],
[
-0.089985,
0.229511,
0.511938,
0.002993,
-0.153833
],
[
0.687271,
-0.258286,
0.558049,
-0.294138,
0.490064
],
[
-0.242658,
0.09161,
0.12152,
-0.233486,
-0.610068
],
[
-0.185929,
0.022141,
0.303903,
0.222638,
-0.04239
]
],
"network.6.bias": [
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0.728505,
-0.100417,
-0.213634,
0.84985
],
"network.8.weight": [
[
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-0.445476,
-0.007449,
0.123312
],
[
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0.974544,
-0.054982,
-0.065492,
0.678857
],
[
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0.575199,
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-0.755627
],
[
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-0.011891,
-0.209924,
0.258508,
-0.047936
],
[
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0.033767,
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]
],
"network.8.bias": [
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0.496571,
-0.278598,
-0.141904
],
"network.10.weight": [
[
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0.282447,
0.288277,
0.300093
],
[
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],
[
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0.132556,
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],
[
0.175577,
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0.075691,
0.460999
],
[
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]
],
"network.10.bias": [
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],
"network.12.weight": [
[
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]
],
"network.12.bias": [
-0.580234
]
}
## Activation Signature
### 0
mean: [-0.755639, 2.055115, -0.380321, -0.328602, -0.794578]
std: [2.284561, 2.046111, 0.509806, 2.572209, 2.123742]
pca: [[0.539228, 0.184575, -0.499312, 0.032169, -0.651781, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.312374, 0.913753, -0.058538, 0.246500, 0.057340, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.021835, -0.158491, 0.460977, 0.803809, -0.340288, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.595770, 0.325256, 0.664228, -0.307160, 0.060990, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.506198, -0.008716, -0.305880, 0.444688, 0.672591, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[37.360744, 37.647818, 37.824147, 39.470347, 68.007505], [34.979019, 35.650205, 36.290850, 38.324483, 184.960307], [8.080581, 8.147373, 8.293891, 9.874223, 34.228854], [39.749763, 40.646395, 41.235114, 42.618908, 43.680923], [32.549643, 34.383137, 34.829870, 35.695041, 71.511986]]
### 2
mean: [0.780535, 0.657388, -1.784311, -1.505274, -1.479007]
std: [1.521767, 1.018466, 1.025326, 0.917339, 0.836390]
pca: [[-0.453064, 0.796942, 0.278262, 0.104570, 0.266932, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.297513, -0.534709, 0.499191, 0.478905, 0.383447, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.535769, 0.168255, 0.732089, 0.062285, -0.380537, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.459273, 0.224244, -0.356644, 0.760073, 0.184056, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.456333, 0.019389, 0.101138, -0.422048, 0.776551, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.204108, 25.438094, 25.868514, 26.859173, 70.248123], [15.863100, 17.535813, 18.685314, 19.209060, 59.164938], [16.106823, 17.172327, 17.536742, 17.729319, 160.588023], [14.302224, 15.799275, 16.283556, 17.067475, 135.474681], [13.115462, 13.258234, 14.143888, 14.539468, 133.110638]]
### 4
mean: [0.208535, -0.562870, 0.879856, -0.253034, 0.116357]
std: [1.229199, 0.336417, 0.311505, 0.630407, 1.393974]
pca: [[0.613195, -0.262694, 0.179547, 0.126104, 0.711930, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.162153, -0.382612, -0.408291, 0.811679, -0.042318, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.120239, 0.857728, 0.091910, 0.480033, 0.104721, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.314028, -0.199317, 0.880998, 0.282544, -0.075301, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.696152, -0.095787, 0.128283, 0.122528, -0.689005, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.060303, 18.768131, 18.926867, 19.850755, 20.888094], [4.948233, 5.576908, 5.748079, 5.824333, 50.658315], [4.702070, 4.815177, 4.965760, 6.039497, 79.186993], [9.488726, 9.878035, 10.097564, 10.919017, 22.773016], [19.455227, 20.425018, 21.727644, 22.361713, 23.848453]]
### 6
mean: [-0.353598, 1.039171, 1.030039, -0.622202, 1.011444]
std: [0.460153, 0.121089, 1.320325, 0.807051, 0.160048]
pca: [[-0.282437, 0.343697, 0.357950, 0.791262, -0.218810, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.060350, 0.671274, -0.023861, -0.100025, 0.731556, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.813510, 0.286047, 0.458290, -0.094662, -0.193360, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.496875, 0.086809, 0.639616, -0.552912, -0.175383, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.088905, 0.584727, -0.502159, -0.221872, -0.590593, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.762775, 7.103889, 8.012549, 8.065595, 31.823850], [1.601537, 1.824051, 1.889843, 2.360191, 93.525372], [19.945399, 21.334507, 23.035656, 23.426733, 92.703549], [12.101770, 12.649611, 14.005673, 14.455943, 55.998214], [2.341644, 2.472028, 2.484356, 2.675173, 91.029919]]
### 8
mean: [-0.653319, 1.948975, -0.322082, -0.555668, 0.520001]
std: [0.581501, 0.288694, 0.932803, 0.269183, 0.616559]
pca: [[-0.441013, -0.359063, 0.537574, -0.313965, 0.537607, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.205875, 0.778048, -0.264512, -0.264466, 0.460812, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.709106, -0.299333, -0.281620, -0.279985, 0.499867, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.204173, -0.163079, -0.287529, 0.790807, 0.472938, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.467551, 0.386679, 0.692146, 0.357375, 0.158409, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.819794, 9.440508, 10.127964, 10.361315, 58.798734], [4.154809, 4.314812, 4.616290, 4.859736, 175.407774], [13.632252, 14.867956, 15.786185, 16.406122, 28.987408], [4.082666, 4.352777, 4.685872, 4.807855, 50.010127], [9.357669, 9.971325, 10.728376, 11.024793, 46.800109]]
### 10
mean: [-0.335009, -0.972625, 0.524911, -0.295064, -0.892478]
std: [0.427529, 0.202784, 0.209318, 0.962459, 0.047019]
pca: [[0.392235, 0.039850, -0.189717, 0.789178, 0.431008, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.176711, 0.700876, 0.609914, 0.284620, -0.156660, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.183533, -0.638504, 0.683308, 0.141484, 0.267771, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.883117, -0.023216, 0.345094, -0.244844, -0.201315, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.036678, 0.314578, 0.077540, -0.464997, 0.823080, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.780150, 6.491651, 7.221513, 7.238797, 30.150772], [2.980618, 3.157642, 3.243426, 3.812650, 87.536222], [3.073752, 3.269226, 3.317546, 3.753163, 47.242013], [13.079872, 14.284164, 15.982564, 16.131347, 26.555786], [0.605008, 0.724741, 0.754920, 0.870735, 80.322993]]
### 12
mean: [-0.553271]
std: [0.491443]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.341891, 7.445318, 7.477210, 7.890636, 49.794391]]
## 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.
mountain_pattern
|
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0.0, 0.0], "fourier": [0.6050078194078441, 0.7247413292036784, 0.7549204239941977, 0.870734853684647, 80.32299304008484]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "12": {"neuron_profiles": {"0": {"mean": -0.5532709956169128, "std": 0.4914431869983673, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [7.341890795312615, 7.445318353081386, 7.477210321976697, 7.890636355500949, 49.794391095638275]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "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": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.873322, -0.584605, 0.342868, 0.401432, -0.008098], [0.49903, 0.375219, -0.257529, 0.371528, 0.582261], [0.08149, -0.164687, -0.158436, -0.039293, -0.091174], [-0.879055, -0.596858, 0.216243, 0.676786, -0.224767], [-0.7449, -0.658095, 0.278847, 0.295245, -0.10314]], "network.0.bias": [-0.170634, -0.226528, 0.346033, 0.227118, 0.243194], "network.2.weight": [[0.667217, -0.066898, -0.395709, 0.68991, 0.430465], [0.218356, 0.476144, -0.33402, -0.182344, -0.388611], [-0.405974, -0.526931, -0.414194, 0.175429, -0.69825], [-0.116374, -0.469456, 0.036017, -0.118935, -0.184449], [-0.428998, -0.359749, 0.207947, -0.036998, -0.340525]], "network.2.bias": [-0.091245, -0.145577, -0.298644, -0.274872, -0.353084], "network.4.weight": [[0.689064, -0.565076, 0.014092, 0.089738, 0.278507], [-0.228416, 0.03551, 0.06282, -0.390087, 0.072402], [0.228036, 0.118312, 0.233209, -0.023999, -0.110813], [-0.387, 0.205261, -0.109028, -0.356051, -0.386183], [0.802975, -0.590509, -0.115863, -0.341534, 0.104732]], "network.4.bias": [0.017231, -0.381132, 0.578571, -0.058213, -0.159558], "network.6.weight": [[-0.206266, 0.211326, 0.300927, -0.143062, -0.349031], [-0.089985, 0.229511, 0.511938, 0.002993, -0.153833], [0.687271, -0.258286, 0.558049, -0.294138, 0.490064], [-0.242658, 0.09161, 0.12152, -0.233486, -0.610068], [-0.185929, 0.022141, 0.303903, 0.222638, -0.04239]], "network.6.bias": [-0.284969, 0.728505, -0.100417, -0.213634, 0.84985], "network.8.weight": [[0.238328, -0.254154, -0.445476, -0.007449, 0.123312], [-0.037601, 0.974544, -0.054982, -0.065492, 0.678857], [-0.302731, -0.622474, 0.575199, -0.385257, -0.755627], [-0.312476, -0.011891, -0.209924, 0.258508, -0.047936], [0.249755, 0.033767, 0.483217, -0.383258, 0.127622]], "network.8.bias": [-0.055075, 0.306265, 0.496571, -0.278598, -0.141904], "network.10.weight": [[0.335941, -0.266537, 0.282447, 0.288277, 0.300093], [0.354643, -0.38094, -0.112126, -0.092122, -0.374599], [0.138095, 0.494916, 0.132556, -0.392436, -0.243003], [0.175577, -0.57188, 0.860299, 0.075691, 0.460999], [-0.149383, -0.233838, -0.001943, -0.149775, -0.036652]], "network.10.bias": [-0.049999, -0.004261, -0.350107, 0.340949, -0.417134], "network.12.weight": [[0.354366, -0.127673, -0.27085, 0.5082, 0.029368]], "network.12.bias": [-0.580234]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6764331161975861, "train_acc": 0.6, "val_loss": 0.7709739208221436, "val_acc": 0.36}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6707672476768494, "train_acc": 0.6, "val_loss": 0.766289234161377, "val_acc": 0.36}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6721175312995911, "train_acc": 0.6, "val_loss": 0.7647068500518799, "val_acc": 0.36}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6700731217861176, "train_acc": 0.6, "val_loss": 0.7456617951393127, "val_acc": 0.36}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6571623980998993, "train_acc": 0.6, "val_loss": 0.6799403429031372, "val_acc": 0.38}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.616857647895813, "train_acc": 0.67, "val_loss": 0.4646227955818176, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5411950647830963, "train_acc": 0.78, "val_loss": 0.4322410821914673, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.4632461965084076, "train_acc": 0.86, "val_loss": 0.34959864616394043, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.3784199208021164, "train_acc": 0.87, "val_loss": 0.28508129715919495, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.4088326096534729, "train_acc": 0.87, "val_loss": 0.34316080808639526, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.38373255729675293, "train_acc": 0.845, "val_loss": 0.5041729807853699, "val_acc": 0.76}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.3300182446837425, "train_acc": 0.86, "val_loss": 0.28427109122276306, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.36884579062461853, "train_acc": 0.875, "val_loss": 0.3128068149089813, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.3754771202802658, "train_acc": 0.885, "val_loss": 0.31456509232521057, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.3148565888404846, "train_acc": 0.865, "val_loss": 0.4429173171520233, "val_acc": 0.86}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.7709739208221436, "final_val_loss": 0.6799403429031372, "initial_val_acc": 0.36, "final_val_acc": 0.38, "best_val_acc": 0.38}, "improved_stage": {"initial_val_loss": 0.4646227955818176, "final_val_loss": 0.4429173171520233, "initial_val_acc": 0.84, "final_val_acc": 0.86, "best_val_acc": 0.88, "best_epoch": 7}, "improvement": 0.5, "first_improvement_epoch": 4}}
|
9,419
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.62, "improved_accuracy": 0.86, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5462, "learning_rate": 0.06075492128871592, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "mountain_pattern", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["mountain_pattern"], "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: 5
Neurons per Layer: 8
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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[
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"network.6.weight": [
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"network.8.bias": [
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"network.10.weight": [
[
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]
],
"network.10.bias": [
0.047557
]
}
## Activation Signature
### 0
mean: [-0.427863, 1.305577, 1.981683, -4.518638, 0.753652, -1.743243, -2.053521, -2.281691]
std: [2.389647, 2.626719, 2.324477, 2.860729, 1.953968, 2.423259, 1.704035, 1.861911]
pca: [[0.433034, -0.268848, 0.170749, -0.103146, 0.384351, 0.094250, 0.737340, -0.011372, 0.000000, 0.000000], [-0.356127, 0.226625, 0.862206, -0.242924, -0.086168, 0.049878, 0.096467, -0.013586, 0.000000, 0.000000], [-0.450507, 0.019214, -0.266595, 0.038917, -0.188596, 0.578858, 0.370256, 0.465136, 0.000000, 0.000000], [0.350418, 0.643134, -0.224450, -0.504596, -0.328140, 0.070895, 0.170068, -0.130249, 0.000000, 0.000000], [-0.318489, 0.159164, -0.211543, -0.458571, 0.761515, 0.073383, -0.177024, -0.039569, 0.000000, 0.000000], [0.461654, -0.169536, 0.218550, -0.154184, 0.032829, 0.620119, -0.497949, 0.230256, 0.000000, 0.000000], [0.032708, 0.454477, 0.053985, 0.603709, 0.242326, 0.409580, 0.032929, -0.444342, 0.000000, 0.000000], [0.210418, 0.449162, 0.102790, 0.275122, 0.248797, -0.301393, -0.025223, 0.717180, 0.000000, 0.000000]]
fourier: [[35.179334, 36.686548, 38.507683, 39.964220, 43.449785], [38.794256, 41.813687, 45.115665, 49.651711, 117.501932], [36.740623, 36.893487, 37.591271, 39.119555, 178.351402], [46.305404, 47.219898, 48.261696, 55.209703, 406.677415], [30.891825, 32.014754, 36.981224, 39.259726, 67.828655], [39.726158, 40.747220, 41.149420, 43.881173, 156.891883], [23.924960, 24.658601, 28.873962, 28.938431, 184.816887], [29.669982, 30.418567, 32.940154, 35.780778, 205.352182]]
### 2
mean: [1.536900, -1.611769, 2.444714, 1.907429, 2.106693, -0.477586, -1.880695, 0.173277]
std: [2.212555, 2.218865, 2.941666, 2.720572, 1.898369, 0.970750, 2.830367, 1.290279]
pca: [[0.304869, 0.701662, -0.418119, 0.165358, -0.235074, 0.159046, 0.056168, -0.358954, 0.000000, 0.000000], [-0.359118, 0.201481, 0.326726, 0.624153, -0.347816, -0.202959, -0.408779, 0.069669, 0.000000, 0.000000], [0.485013, 0.047825, -0.099459, 0.151231, -0.216200, -0.077936, 0.110499, 0.815283, 0.000000, 0.000000], [0.440390, -0.291618, 0.269525, 0.164539, -0.283483, -0.495782, 0.353015, -0.412938, 0.000000, 0.000000], [0.299893, 0.157061, 0.703687, 0.087559, 0.143731, 0.594262, 0.086795, -0.034858, 0.000000, 0.000000], [-0.008717, -0.561197, -0.294026, 0.259712, -0.443194, 0.568072, -0.030262, -0.105061, 0.000000, 0.000000], [-0.465703, 0.118580, -0.017955, 0.265561, 0.026526, 0.066131, 0.823805, 0.120343, 0.000000, 0.000000], [0.204980, -0.161482, -0.232254, 0.622500, 0.692009, -0.037575, -0.076230, -0.066026, 0.000000, 0.000000]]
fourier: [[35.517184, 36.710494, 39.292185, 44.332426, 138.321031], [34.625175, 35.156226, 35.180679, 36.138460, 145.059204], [46.204735, 46.306829, 48.138317, 48.909364, 220.024279], [42.698382, 43.139439, 47.345375, 48.390881, 171.668604], [30.833365, 32.405186, 33.473060, 34.320174, 189.602398], [14.492121, 14.960058, 15.374919, 18.248223, 42.982727], [43.790927, 43.927967, 45.347665, 47.703959, 169.262574], [19.138320, 19.982723, 20.215383, 20.707771, 21.189315]]
### 4
mean: [0.987593, 0.310164, -1.042368, -0.812575, 2.132626, 2.848959, -1.050451, -0.847564]
std: [1.598442, 1.463463, 0.943498, 1.455718, 3.341295, 3.466148, 1.740680, 1.238875]
pca: [[0.249478, 0.533667, -0.191105, -0.505233, 0.198992, 0.480580, -0.080710, -0.290016, 0.000000, 0.000000], [0.246267, -0.177476, 0.269134, 0.579724, 0.330752, 0.575171, 0.173584, -0.170269, 0.000000, 0.000000], [-0.103892, 0.527248, 0.635856, 0.053979, 0.374119, -0.395804, 0.069271, -0.050655, 0.000000, 0.000000], [-0.247045, 0.104548, -0.394181, 0.231235, 0.579837, 0.016584, -0.476370, 0.394685, 0.000000, 0.000000], [0.574742, -0.226274, -0.106805, 0.058448, 0.188217, -0.448835, -0.396661, -0.457635, 0.000000, 0.000000], [0.597231, 0.152945, -0.222955, 0.025556, 0.111404, -0.184631, 0.490361, 0.531608, 0.000000, 0.000000], [-0.292855, 0.219174, -0.518319, 0.316392, 0.073193, -0.208469, 0.464349, -0.482704, 0.000000, 0.000000], [-0.180310, -0.521682, 0.039788, -0.498099, 0.567129, -0.047791, 0.343823, -0.059302, 0.000000, 0.000000]]
fourier: [[25.242408, 26.310728, 26.809733, 33.878874, 88.883338], [23.176811, 23.392805, 23.989128, 25.023329, 27.914759], [15.597788, 16.056153, 16.192565, 19.077049, 93.813088], [22.286277, 22.606730, 23.370680, 27.388554, 73.131706], [55.032283, 55.477328, 55.922966, 57.305379, 191.936384], [55.601326, 56.153509, 56.596265, 58.244163, 256.406280], [26.521563, 27.110245, 27.550647, 33.227498, 94.540600], [19.261414, 19.722873, 22.964061, 24.483426, 76.280755]]
### 6
mean: [-0.393808, -0.555896, 2.402602, -0.176016, 3.484976, -0.834916, -0.762463, -0.323769]
std: [0.591148, 0.909450, 3.159039, 1.512909, 4.638446, 1.686291, 0.824309, 1.005142]
pca: [[-0.091243, -0.140996, 0.321467, 0.190282, 0.170351, 0.785273, 0.382079, -0.201465, 0.000000, 0.000000], [-0.137338, -0.093088, 0.749982, -0.010315, 0.482646, -0.315871, -0.275936, -0.032099, 0.000000, 0.000000], [0.506286, -0.057532, -0.164274, 0.693382, 0.311352, 0.073401, -0.272016, 0.237233, 0.000000, 0.000000], [0.235773, 0.489999, 0.383679, 0.265556, -0.276201, -0.267680, 0.552192, 0.183648, 0.000000, 0.000000], [0.743315, -0.164639, 0.241933, -0.536601, -0.128379, 0.189584, -0.091671, 0.114358, 0.000000, 0.000000], [-0.267595, 0.342743, 0.217895, 0.031908, -0.357556, 0.381822, -0.509577, 0.478666, 0.000000, 0.000000], [-0.131515, 0.033865, -0.181136, -0.287671, 0.509209, 0.043092, 0.331995, 0.703293, 0.000000, 0.000000], [0.139561, 0.763099, -0.145498, -0.201680, 0.401478, 0.151473, -0.143782, -0.362707, 0.000000, 0.000000]]
fourier: [[8.940864, 8.947883, 9.079020, 10.044420, 35.442722], [13.861741, 13.949511, 14.917960, 17.151655, 50.030657], [49.867660, 50.252074, 51.830384, 52.405499, 216.234168], [22.625297, 23.043697, 23.334896, 24.506990, 28.723222], [74.108551, 74.750294, 76.898428, 77.867835, 313.647819], [26.893105, 26.952543, 27.079797, 28.409783, 75.142426], [13.310803, 13.418356, 13.923896, 14.219195, 68.621658], [14.158893, 15.104590, 15.777451, 18.869701, 29.139206]]
### 8
mean: [-1.182633, 2.174839, 0.402451, 3.174045, -1.923991, 3.483238, 4.488783, 3.948936]
std: [1.661798, 2.442227, 1.246220, 3.653596, 2.824844, 4.233653, 5.686982, 4.805116]
pca: [[-0.161229, 0.549220, 0.551187, -0.223267, -0.444771, -0.170086, -0.185138, -0.240168, 0.000000, 0.000000], [0.237958, -0.541835, 0.076159, -0.430479, -0.425719, 0.332786, 0.143920, -0.382077, 0.000000, 0.000000], [0.121514, 0.152975, -0.309446, 0.184184, -0.286803, -0.482248, 0.671380, -0.258036, 0.000000, 0.000000], [0.356772, -0.030511, 0.139736, 0.732588, -0.050437, 0.145229, -0.287293, -0.457601, 0.000000, 0.000000], [-0.275766, 0.032229, 0.499359, 0.148773, 0.356272, 0.376264, 0.605710, -0.126622, 0.000000, 0.000000], [0.413336, 0.375735, -0.057158, 0.095703, -0.353162, 0.503187, 0.193581, 0.510055, 0.000000, 0.000000], [0.555304, 0.376500, -0.079190, -0.403285, 0.528695, 0.021019, 0.006667, -0.317759, 0.000000, 0.000000], [0.469119, -0.310599, 0.562328, 0.017278, 0.070502, -0.459844, 0.085559, 0.378413, 0.000000, 0.000000]]
fourier: [[25.408910, 27.314844, 27.384434, 27.778769, 106.436981], [39.087600, 39.344267, 40.776045, 41.370328, 195.735477], [20.200762, 20.232186, 20.775187, 21.242035, 36.220615], [59.221319, 59.842813, 60.019268, 61.152168, 285.664026], [45.687147, 46.808056, 47.194748, 47.369374, 173.159190], [69.584186, 69.978302, 70.137733, 71.092328, 313.491476], [94.060842, 94.257673, 94.415420, 95.583136, 403.990475], [77.020689, 79.318942, 80.082663, 80.613465, 355.404284]]
### 10
mean: [-12.145129]
std: [15.161307]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[245.612048, 251.930422, 254.643040, 254.846419, 1093.061688]]
## 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.
|
mountain_pattern
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
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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[
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[
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"network.0.bias": [
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[
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],
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0.256424
]
],
"network.2.bias": [
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"network.6.weight": [
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"network.8.weight": [
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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [-0.427863, 1.305577, 1.981683, -4.518638, 0.753652, -1.743243, -2.053521, -2.281691]
std: [2.389647, 2.626719, 2.324477, 2.860729, 1.953968, 2.423259, 1.704035, 1.861911]
pca: [[0.433034, -0.268848, 0.170749, -0.103146, 0.384351, 0.094250, 0.737340, -0.011372, 0.000000, 0.000000], [-0.356127, 0.226625, 0.862206, -0.242924, -0.086168, 0.049878, 0.096467, -0.013586, 0.000000, 0.000000], [-0.450507, 0.019214, -0.266595, 0.038917, -0.188596, 0.578858, 0.370256, 0.465136, 0.000000, 0.000000], [0.350418, 0.643134, -0.224450, -0.504596, -0.328140, 0.070895, 0.170068, -0.130249, 0.000000, 0.000000], [-0.318489, 0.159164, -0.211543, -0.458571, 0.761515, 0.073383, -0.177024, -0.039569, 0.000000, 0.000000], [0.461654, -0.169536, 0.218550, -0.154184, 0.032829, 0.620119, -0.497949, 0.230256, 0.000000, 0.000000], [0.032708, 0.454477, 0.053985, 0.603709, 0.242326, 0.409580, 0.032929, -0.444342, 0.000000, 0.000000], [0.210418, 0.449162, 0.102790, 0.275122, 0.248797, -0.301393, -0.025223, 0.717180, 0.000000, 0.000000]]
fourier: [[35.179334, 36.686548, 38.507683, 39.964220, 43.449785], [38.794256, 41.813687, 45.115665, 49.651711, 117.501932], [36.740623, 36.893487, 37.591271, 39.119555, 178.351402], [46.305404, 47.219898, 48.261696, 55.209703, 406.677415], [30.891825, 32.014754, 36.981224, 39.259726, 67.828655], [39.726158, 40.747220, 41.149420, 43.881173, 156.891883], [23.924960, 24.658601, 28.873962, 28.938431, 184.816887], [29.669982, 30.418567, 32.940154, 35.780778, 205.352182]]
### 2
mean: [1.536900, -1.611769, 2.444714, 1.907429, 2.106693, -0.477586, -1.880695, 0.173277]
std: [2.212555, 2.218865, 2.941666, 2.720572, 1.898369, 0.970750, 2.830367, 1.290279]
pca: [[0.304869, 0.701662, -0.418119, 0.165358, -0.235074, 0.159046, 0.056168, -0.358954, 0.000000, 0.000000], [-0.359118, 0.201481, 0.326726, 0.624153, -0.347816, -0.202959, -0.408779, 0.069669, 0.000000, 0.000000], [0.485013, 0.047825, -0.099459, 0.151231, -0.216200, -0.077936, 0.110499, 0.815283, 0.000000, 0.000000], [0.440390, -0.291618, 0.269525, 0.164539, -0.283483, -0.495782, 0.353015, -0.412938, 0.000000, 0.000000], [0.299893, 0.157061, 0.703687, 0.087559, 0.143731, 0.594262, 0.086795, -0.034858, 0.000000, 0.000000], [-0.008717, -0.561197, -0.294026, 0.259712, -0.443194, 0.568072, -0.030262, -0.105061, 0.000000, 0.000000], [-0.465703, 0.118580, -0.017955, 0.265561, 0.026526, 0.066131, 0.823805, 0.120343, 0.000000, 0.000000], [0.204980, -0.161482, -0.232254, 0.622500, 0.692009, -0.037575, -0.076230, -0.066026, 0.000000, 0.000000]]
fourier: [[35.517184, 36.710494, 39.292185, 44.332426, 138.321031], [34.625175, 35.156226, 35.180679, 36.138460, 145.059204], [46.204735, 46.306829, 48.138317, 48.909364, 220.024279], [42.698382, 43.139439, 47.345375, 48.390881, 171.668604], [30.833365, 32.405186, 33.473060, 34.320174, 189.602398], [14.492121, 14.960058, 15.374919, 18.248223, 42.982727], [43.790927, 43.927967, 45.347665, 47.703959, 169.262574], [19.138320, 19.982723, 20.215383, 20.707771, 21.189315]]
### 4
mean: [0.987593, 0.310164, -1.042368, -0.812575, 2.132626, 2.848959, -1.050451, -0.847564]
std: [1.598442, 1.463463, 0.943498, 1.455718, 3.341295, 3.466148, 1.740680, 1.238875]
pca: [[0.249478, 0.533667, -0.191105, -0.505233, 0.198992, 0.480580, -0.080710, -0.290016, 0.000000, 0.000000], [0.246267, -0.177476, 0.269134, 0.579724, 0.330752, 0.575171, 0.173584, -0.170269, 0.000000, 0.000000], [-0.103892, 0.527248, 0.635856, 0.053979, 0.374119, -0.395804, 0.069271, -0.050655, 0.000000, 0.000000], [-0.247045, 0.104548, -0.394181, 0.231235, 0.579837, 0.016584, -0.476370, 0.394685, 0.000000, 0.000000], [0.574742, -0.226274, -0.106805, 0.058448, 0.188217, -0.448835, -0.396661, -0.457635, 0.000000, 0.000000], [0.597231, 0.152945, -0.222955, 0.025556, 0.111404, -0.184631, 0.490361, 0.531608, 0.000000, 0.000000], [-0.292855, 0.219174, -0.518319, 0.316392, 0.073193, -0.208469, 0.464349, -0.482704, 0.000000, 0.000000], [-0.180310, -0.521682, 0.039788, -0.498099, 0.567129, -0.047791, 0.343823, -0.059302, 0.000000, 0.000000]]
fourier: [[25.242408, 26.310728, 26.809733, 33.878874, 88.883338], [23.176811, 23.392805, 23.989128, 25.023329, 27.914759], [15.597788, 16.056153, 16.192565, 19.077049, 93.813088], [22.286277, 22.606730, 23.370680, 27.388554, 73.131706], [55.032283, 55.477328, 55.922966, 57.305379, 191.936384], [55.601326, 56.153509, 56.596265, 58.244163, 256.406280], [26.521563, 27.110245, 27.550647, 33.227498, 94.540600], [19.261414, 19.722873, 22.964061, 24.483426, 76.280755]]
### 6
mean: [-0.393808, -0.555896, 2.402602, -0.176016, 3.484976, -0.834916, -0.762463, -0.323769]
std: [0.591148, 0.909450, 3.159039, 1.512909, 4.638446, 1.686291, 0.824309, 1.005142]
pca: [[-0.091243, -0.140996, 0.321467, 0.190282, 0.170351, 0.785273, 0.382079, -0.201465, 0.000000, 0.000000], [-0.137338, -0.093088, 0.749982, -0.010315, 0.482646, -0.315871, -0.275936, -0.032099, 0.000000, 0.000000], [0.506286, -0.057532, -0.164274, 0.693382, 0.311352, 0.073401, -0.272016, 0.237233, 0.000000, 0.000000], [0.235773, 0.489999, 0.383679, 0.265556, -0.276201, -0.267680, 0.552192, 0.183648, 0.000000, 0.000000], [0.743315, -0.164639, 0.241933, -0.536601, -0.128379, 0.189584, -0.091671, 0.114358, 0.000000, 0.000000], [-0.267595, 0.342743, 0.217895, 0.031908, -0.357556, 0.381822, -0.509577, 0.478666, 0.000000, 0.000000], [-0.131515, 0.033865, -0.181136, -0.287671, 0.509209, 0.043092, 0.331995, 0.703293, 0.000000, 0.000000], [0.139561, 0.763099, -0.145498, -0.201680, 0.401478, 0.151473, -0.143782, -0.362707, 0.000000, 0.000000]]
fourier: [[8.940864, 8.947883, 9.079020, 10.044420, 35.442722], [13.861741, 13.949511, 14.917960, 17.151655, 50.030657], [49.867660, 50.252074, 51.830384, 52.405499, 216.234168], [22.625297, 23.043697, 23.334896, 24.506990, 28.723222], [74.108551, 74.750294, 76.898428, 77.867835, 313.647819], [26.893105, 26.952543, 27.079797, 28.409783, 75.142426], [13.310803, 13.418356, 13.923896, 14.219195, 68.621658], [14.158893, 15.104590, 15.777451, 18.869701, 29.139206]]
### 8
mean: [-1.182633, 2.174839, 0.402451, 3.174045, -1.923991, 3.483238, 4.488783, 3.948936]
std: [1.661798, 2.442227, 1.246220, 3.653596, 2.824844, 4.233653, 5.686982, 4.805116]
pca: [[-0.161229, 0.549220, 0.551187, -0.223267, -0.444771, -0.170086, -0.185138, -0.240168, 0.000000, 0.000000], [0.237958, -0.541835, 0.076159, -0.430479, -0.425719, 0.332786, 0.143920, -0.382077, 0.000000, 0.000000], [0.121514, 0.152975, -0.309446, 0.184184, -0.286803, -0.482248, 0.671380, -0.258036, 0.000000, 0.000000], [0.356772, -0.030511, 0.139736, 0.732588, -0.050437, 0.145229, -0.287293, -0.457601, 0.000000, 0.000000], [-0.275766, 0.032229, 0.499359, 0.148773, 0.356272, 0.376264, 0.605710, -0.126622, 0.000000, 0.000000], [0.413336, 0.375735, -0.057158, 0.095703, -0.353162, 0.503187, 0.193581, 0.510055, 0.000000, 0.000000], [0.555304, 0.376500, -0.079190, -0.403285, 0.528695, 0.021019, 0.006667, -0.317759, 0.000000, 0.000000], [0.469119, -0.310599, 0.562328, 0.017278, 0.070502, -0.459844, 0.085559, 0.378413, 0.000000, 0.000000]]
fourier: [[25.408910, 27.314844, 27.384434, 27.778769, 106.436981], [39.087600, 39.344267, 40.776045, 41.370328, 195.735477], [20.200762, 20.232186, 20.775187, 21.242035, 36.220615], [59.221319, 59.842813, 60.019268, 61.152168, 285.664026], [45.687147, 46.808056, 47.194748, 47.369374, 173.159190], [69.584186, 69.978302, 70.137733, 71.092328, 313.491476], [94.060842, 94.257673, 94.415420, 95.583136, 403.990475], [77.020689, 79.318942, 80.082663, 80.613465, 355.404284]]
### 10
mean: [-12.145129]
std: [15.161307]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[245.612048, 251.930422, 254.643040, 254.846419, 1093.061688]]
## 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.
mountain_pattern
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.852661, -0.601948, 0.140474, 0.519488, 0.044069], [0.69911, 0.51199, 0.12088, 0.193934, -1.057708], [0.767064, 0.679085, -0.105557, -0.29194, 0.282571], [-0.080844, -0.705831, -0.711645, -0.516322, -0.421396], [1.00995, 0.00665, -0.365175, 0.079096, 0.026597], [-0.926112, -0.526929, 0.053447, 0.371393, -0.08715], [0.266328, -0.474853, 0.25909, -0.410055, -0.485768], [0.005617, -0.693126, 0.066951, -0.261451, -0.550653]], "network.0.bias": [0.26831, 0.138736, 0.287712, -0.018358, 0.045096, -0.431159, -0.58242, 0.074301], "network.2.weight": [[-0.135566, -0.362071, 0.58087, -0.648819, 0.780067, 0.022908, 0.544019, 0.030842], [0.558273, -0.582494, -0.554156, -0.066691, 0.205757, 0.077994, 0.13119, -0.505169], [-0.434328, 0.560459, 0.596491, -0.299274, 0.30161, -0.328714, 0.144601, 0.198001], [-0.357655, 0.898568, 0.407457, -0.249109, 0.021137, -0.426699, 0.016795, 0.019026], [0.1563, 0.35747, 0.279959, -0.384824, 0.458129, 0.177201, 0.173796, 0.316082], [-0.401937, 0.49143, -0.160362, 0.302769, -0.534751, -0.541808, -0.508287, 0.576749], [0.391007, -0.706209, -0.59543, -0.312573, -0.068146, 0.296612, 0.120988, -0.215929], [-0.512874, 0.398378, 0.103332, -0.083311, 0.04683, -0.146387, -0.269575, 0.256424]], "network.2.bias": [0.331798, -0.069769, 0.288976, -0.228283, 0.413336, -0.213835, 0.318529, -0.452692], "network.4.weight": [[0.021557, -0.354533, -0.284984, 0.512567, 0.157576, 0.651258, -0.152077, 0.607917], [0.53545, -0.02658, 0.171203, 0.081381, -0.55837, -0.077629, -0.161372, 0.785124], [-0.452094, 0.122042, 0.385937, 0.30931, -0.82448, -0.247696, -0.150555, -0.067976], [-0.28907, 0.235503, -0.291126, -0.199929, 0.068827, -0.224278, 0.354823, 0.45409], [0.537843, -0.298028, 0.476353, 0.147802, 0.181094, -0.058976, -0.219474, 0.150136], [0.442249, -0.377708, 0.325536, 0.50048, 0.017712, 0.264571, 0.037732, 0.34018], [-0.426033, 0.55668, -0.196563, -0.08445, 0.003185, -0.12591, 0.486092, 0.014647], [0.18845, -0.311885, -0.617453, -0.253407, 0.57215, -0.416896, -0.339351, -0.104879]], "network.4.bias": [0.039702, -0.320852, -0.179055, 0.353295, -0.543449, 0.203658, 0.174613, -0.171268], "network.6.weight": [[0.072475, 0.105788, -0.276527, 0.131135, 0.092445, -0.29409, 0.336541, -0.114391], [-0.281374, 0.400426, -0.300788, 0.474966, -0.229073, -0.02197, 0.337006, -0.257022], [0.395887, 0.147856, -0.180921, -0.54335, 0.550629, 0.146949, -0.654034, 0.296477], [-0.185957, -0.136648, 0.530403, -0.615097, 0.66269, -0.118085, -0.571603, 0.492436], [0.244678, 0.073753, 0.299781, -0.497014, 0.762342, 0.455329, -0.7019, -0.014616], [-0.325445, -0.320476, 0.15452, 0.279689, 0.049609, -0.2798, -0.066701, 0.201354], [-0.001579, -0.136516, -0.378101, -0.217754, -0.11374, -0.075315, 0.316457, -0.15268], [-0.183487, -0.733761, -0.07091, -0.977832, 0.780684, -0.207837, -0.651088, 0.450451]], "network.6.bias": [0.025414, -0.039703, 0.371116, -0.888347, 0.360122, 0.356074, -0.267219, -0.725267], "network.8.weight": [[0.156106, 0.451093, -0.125075, 0.098357, -0.311469, 0.272069, 0.244039, 0.320086], [-0.040251, -0.210909, 0.188517, -0.515446, 0.493169, -0.093012, -0.236466, 0.198227], [-0.172334, -0.283261, 0.080703, 0.193511, 0.172478, 0.120581, -0.144709, -0.017416], [-0.275821, -0.390617, 0.642566, 0.130756, 0.354651, 0.178033, 0.208527, -0.3113], [0.306427, 0.47115, -0.135522, -0.008188, -0.496049, -0.008269, 0.224243, -0.175646], [-0.178333, -0.524141, 0.4545, 0.187945, 0.549596, 0.225778, 0.089768, 0.218412], [-0.033354, -0.570041, 0.489437, 0.167195, 0.834288, -0.058927, -0.41719, 0.34707], [-0.206636, -0.125055, 0.59211, -0.251906, 0.713275, 0.043511, -0.391111, -0.14786]], "network.8.bias": [0.139954, 0.153769, -0.509966, 0.343846, 0.212494, 0.317761, 0.207015, 0.07021], "network.10.weight": [[0.363107, -0.7951, -0.298184, -0.583971, 0.263748, -0.636127, -0.561596, -0.98852]], "network.10.bias": [0.047557]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6849427223205566, "train_acc": 0.58, "val_loss": 0.6638026237487793, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6130475401878357, "train_acc": 0.65, "val_loss": 0.6183904409408569, "val_acc": 0.62}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6573589444160461, "train_acc": 0.68, "val_loss": 0.5153310298919678, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5871435403823853, "train_acc": 0.695, "val_loss": 0.5012860894203186, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5056279301643372, "train_acc": 0.81, "val_loss": 0.5314967632293701, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.4793643355369568, "train_acc": 0.8, "val_loss": 0.4545920491218567, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.434968039393425, "train_acc": 0.84, "val_loss": 0.4178352355957031, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.41438406705856323, "train_acc": 0.845, "val_loss": 0.39235183596611023, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.3739500343799591, "train_acc": 0.865, "val_loss": 0.3611733317375183, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.3233845978975296, "train_acc": 0.87, "val_loss": 0.33757874369621277, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.32102398574352264, "train_acc": 0.875, "val_loss": 0.3264326751232147, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.2569260895252228, "train_acc": 0.88, "val_loss": 0.35362860560417175, "val_acc": 0.86}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.6638026237487793, "final_val_loss": 0.6183904409408569, "initial_val_acc": 0.48, "final_val_acc": 0.62, "best_val_acc": 0.62}, "improved_stage": {"initial_val_loss": 0.5153310298919678, "final_val_loss": 0.35362860560417175, "initial_val_acc": 0.76, "final_val_acc": 0.86, "best_val_acc": 0.86, "best_epoch": 9}, "improvement": 0.24, "first_improvement_epoch": 1}}
|
9,420
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.62, "improved_accuracy": 0.86, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4644, "learning_rate": 0.028733006290287737, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "no_repeats", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["no_repeats"], "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: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.4.weight": [
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}
## Activation Signature
### 0
mean: [0.182596, 0.487044, 0.960284, 1.637679, 2.798936, -0.430272, 1.540019]
std: [1.564116, 1.345142, 2.052784, 1.207073, 2.061091, 1.276302, 2.234141]
pca: [[-0.013170, 0.335061, 0.729387, 0.210983, 0.265097, 0.490665, 0.003679, 0.000000, 0.000000, 0.000000], [-0.187318, 0.251346, -0.462977, -0.483642, 0.409377, 0.496868, 0.197515, 0.000000, 0.000000, 0.000000], [0.613564, -0.066664, 0.014359, 0.056079, 0.038087, -0.009919, 0.783706, 0.000000, 0.000000, 0.000000], [-0.077464, 0.333163, -0.274497, 0.572792, 0.578299, -0.380431, 0.020110, 0.000000, 0.000000, 0.000000], [0.385573, 0.728534, -0.226100, 0.048034, -0.462846, 0.079986, -0.215683, 0.000000, 0.000000, 0.000000], [0.145585, -0.388654, -0.352965, 0.558146, -0.078055, 0.597441, -0.169155, 0.000000, 0.000000, 0.000000], [0.642196, -0.165239, 0.048852, -0.276600, 0.453800, -0.064884, -0.520809, 0.000000, 0.000000, 0.000000]]
fourier: [[23.094422, 23.713003, 28.780963, 30.517913, 30.859662], [21.915490, 23.538492, 24.686977, 25.768498, 43.833966], [30.940570, 32.413736, 36.039601, 41.181137, 86.425576], [17.405637, 19.762324, 19.789818, 23.234328, 147.391114], [32.997969, 33.730276, 35.410718, 41.257359, 251.904263], [18.269270, 18.276401, 23.450912, 24.329089, 38.724466], [33.983003, 34.892957, 36.437631, 47.281011, 138.601716]]
### 2
mean: [1.072986, -1.120225, -0.661129, -1.248599, -0.507407, -1.222435, 0.956555]
std: [1.670360, 0.664827, 0.328194, 0.913648, 1.341032, 0.874853, 1.495124]
pca: [[0.626786, -0.423166, 0.370379, -0.158790, 0.256233, 0.185858, 0.406788, 0.000000, 0.000000, 0.000000], [-0.037215, 0.353383, -0.497446, 0.058937, 0.284317, 0.575813, 0.458708, 0.000000, 0.000000, 0.000000], [0.011355, 0.115938, 0.335344, 0.806463, 0.425043, 0.079345, -0.191401, 0.000000, 0.000000, 0.000000], [0.010139, 0.516701, 0.275547, 0.072579, -0.125288, -0.511445, 0.611924, 0.000000, 0.000000, 0.000000], [-0.551583, -0.083168, 0.558507, -0.059684, -0.297108, 0.498638, 0.190880, 0.000000, 0.000000, 0.000000], [-0.005005, 0.485355, 0.325470, -0.549209, 0.489371, 0.065443, -0.336268, 0.000000, 0.000000, 0.000000], [-0.548866, -0.416105, -0.095522, -0.102317, 0.573928, -0.336307, 0.252020, 0.000000, 0.000000, 0.000000]]
fourier: [[27.632007, 28.222396, 28.638763, 30.074921, 96.568710], [10.419161, 12.333235, 12.376584, 13.055266, 100.820279], [4.459563, 4.749252, 5.981156, 7.559702, 59.501611], [14.692516, 15.144069, 15.528920, 16.389286, 112.373938], [21.179401, 24.254131, 25.305226, 29.076491, 45.666614], [13.857527, 14.348534, 15.098511, 15.566772, 110.019166], [22.836534, 26.179303, 26.452335, 28.164171, 86.089976]]
### 4
mean: [0.695922, 0.925092, 0.931084, 0.765195, 1.133921, 0.477045, 0.796494]
std: [0.353800, 0.468397, 0.651740, 0.296142, 0.917111, 1.055076, 0.162804]
pca: [[-0.176073, 0.361558, 0.125016, -0.459530, 0.733015, 0.051489, -0.267422, 0.000000, 0.000000, 0.000000], [-0.220820, 0.497314, 0.407280, 0.686285, 0.038212, -0.230883, -0.110841, 0.000000, 0.000000, 0.000000], [-0.418482, 0.071440, -0.060906, -0.373445, -0.465579, -0.549969, -0.396697, 0.000000, 0.000000, 0.000000], [0.131632, -0.232782, 0.730149, -0.144273, -0.244083, 0.386714, -0.406730, 0.000000, 0.000000, 0.000000], [-0.576226, 0.324150, -0.121303, -0.081700, -0.292875, 0.637756, 0.221343, 0.000000, 0.000000, 0.000000], [0.624578, 0.676155, -0.065698, -0.220571, -0.313721, 0.036408, -0.001661, 0.000000, 0.000000, 0.000000], [-0.075155, 0.020123, 0.512480, -0.319754, -0.026300, -0.289775, 0.737839, 0.000000, 0.000000, 0.000000]]
fourier: [[5.790939, 5.818577, 6.119182, 6.887265, 62.632954], [7.822090, 8.204751, 8.315058, 8.436187, 83.258301], [11.153051, 11.533889, 11.893123, 12.330548, 83.797543], [4.936120, 5.515727, 5.801440, 5.947209, 68.867516], [15.719358, 16.195280, 16.760637, 17.652251, 102.052913], [16.179275, 17.175499, 17.752896, 18.101666, 42.934038], [2.666710, 2.913316, 3.385324, 3.705458, 71.684429]]
### 6
mean: [1.904588, -0.819829, -1.383720, 2.296116, 2.217205, -0.756163, 1.825116]
std: [1.138351, 0.853771, 0.703172, 1.492215, 1.245465, 0.942715, 0.960263]
pca: [[0.408321, -0.081488, -0.034889, -0.320678, 0.598620, -0.412280, 0.440750, 0.000000, 0.000000, 0.000000], [-0.283863, 0.546974, -0.456925, -0.255955, 0.359751, 0.458110, 0.081621, 0.000000, 0.000000, 0.000000], [-0.225974, -0.534422, 0.142084, 0.371677, 0.591663, 0.390955, -0.045677, 0.000000, 0.000000, 0.000000], [0.530669, 0.343564, 0.564102, -0.088522, 0.169100, 0.359762, -0.341003, 0.000000, 0.000000, 0.000000], [0.447100, -0.001814, -0.178867, 0.392020, -0.264225, 0.419102, 0.607423, 0.000000, 0.000000, 0.000000], [-0.320224, 0.517306, 0.398605, 0.512296, 0.153162, -0.306358, 0.302000, 0.000000, 0.000000, 0.000000], [0.342899, 0.151416, -0.510612, 0.519178, 0.200747, -0.261503, -0.469617, 0.000000, 0.000000, 0.000000]]
fourier: [[18.432692, 18.785005, 22.424166, 22.806912, 171.412920], [13.296004, 14.383095, 15.844219, 15.920496, 73.784613], [11.777992, 12.223409, 12.241975, 12.583550, 124.534802], [24.340098, 25.434062, 28.714863, 29.357278, 206.650468], [20.597517, 21.101527, 24.481567, 25.098700, 199.548413], [14.906992, 15.858065, 17.401912, 18.697448, 68.054669], [16.109134, 16.704310, 18.694909, 19.512323, 164.260435]]
### 8
mean: [-2.345290, -2.062350, 4.445121, -1.132503, 4.333506, 3.407757, -2.832033]
std: [1.347096, 1.380646, 2.577240, 0.923841, 2.604423, 1.967697, 1.833146]
pca: [[-0.267057, 0.426084, 0.084686, 0.552521, 0.600338, 0.220016, 0.160837, 0.000000, 0.000000, 0.000000], [-0.273668, 0.430458, 0.585236, 0.058513, -0.389540, -0.491566, 0.022514, 0.000000, 0.000000, 0.000000], [0.514473, 0.099511, 0.143465, 0.533275, -0.312482, 0.259474, -0.505450, 0.000000, 0.000000, 0.000000], [-0.182790, 0.326997, 0.226809, -0.459095, -0.186092, 0.749031, -0.042103, 0.000000, 0.000000, 0.000000], [0.517868, 0.627056, -0.380938, -0.141248, -0.091265, -0.119429, 0.388532, 0.000000, 0.000000, 0.000000], [0.392014, -0.329166, 0.550939, 0.075279, 0.031815, 0.162199, 0.633603, 0.000000, 0.000000, 0.000000], [-0.365826, -0.121570, -0.360077, 0.412951, -0.588418, 0.202508, 0.404923, 0.000000, 0.000000, 0.000000]]
fourier: [[22.036922, 22.223112, 27.016882, 27.071882, 211.076105], [22.391148, 22.830641, 27.274856, 27.986238, 185.611517], [42.145438, 42.218227, 51.000763, 52.418929, 400.060848], [14.819110, 15.469632, 18.063784, 18.726136, 101.925264], [42.859794, 43.617528, 50.734319, 53.350863, 390.015526], [31.710991, 32.076475, 39.280029, 39.824779, 306.698134], [30.179592, 30.206246, 36.135421, 37.672384, 254.882996]]
### 10
mean: [-6.121665]
std: [3.668272]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[59.483322, 59.700212, 73.445428, 74.099920, 550.949827]]
## 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.
|
no_repeats
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.2.weight": [
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}
## Activation Signature
### 0
mean: [0.182596, 0.487044, 0.960284, 1.637679, 2.798936, -0.430272, 1.540019]
std: [1.564116, 1.345142, 2.052784, 1.207073, 2.061091, 1.276302, 2.234141]
pca: [[-0.013170, 0.335061, 0.729387, 0.210983, 0.265097, 0.490665, 0.003679, 0.000000, 0.000000, 0.000000], [-0.187318, 0.251346, -0.462977, -0.483642, 0.409377, 0.496868, 0.197515, 0.000000, 0.000000, 0.000000], [0.613564, -0.066664, 0.014359, 0.056079, 0.038087, -0.009919, 0.783706, 0.000000, 0.000000, 0.000000], [-0.077464, 0.333163, -0.274497, 0.572792, 0.578299, -0.380431, 0.020110, 0.000000, 0.000000, 0.000000], [0.385573, 0.728534, -0.226100, 0.048034, -0.462846, 0.079986, -0.215683, 0.000000, 0.000000, 0.000000], [0.145585, -0.388654, -0.352965, 0.558146, -0.078055, 0.597441, -0.169155, 0.000000, 0.000000, 0.000000], [0.642196, -0.165239, 0.048852, -0.276600, 0.453800, -0.064884, -0.520809, 0.000000, 0.000000, 0.000000]]
fourier: [[23.094422, 23.713003, 28.780963, 30.517913, 30.859662], [21.915490, 23.538492, 24.686977, 25.768498, 43.833966], [30.940570, 32.413736, 36.039601, 41.181137, 86.425576], [17.405637, 19.762324, 19.789818, 23.234328, 147.391114], [32.997969, 33.730276, 35.410718, 41.257359, 251.904263], [18.269270, 18.276401, 23.450912, 24.329089, 38.724466], [33.983003, 34.892957, 36.437631, 47.281011, 138.601716]]
### 2
mean: [1.072986, -1.120225, -0.661129, -1.248599, -0.507407, -1.222435, 0.956555]
std: [1.670360, 0.664827, 0.328194, 0.913648, 1.341032, 0.874853, 1.495124]
pca: [[0.626786, -0.423166, 0.370379, -0.158790, 0.256233, 0.185858, 0.406788, 0.000000, 0.000000, 0.000000], [-0.037215, 0.353383, -0.497446, 0.058937, 0.284317, 0.575813, 0.458708, 0.000000, 0.000000, 0.000000], [0.011355, 0.115938, 0.335344, 0.806463, 0.425043, 0.079345, -0.191401, 0.000000, 0.000000, 0.000000], [0.010139, 0.516701, 0.275547, 0.072579, -0.125288, -0.511445, 0.611924, 0.000000, 0.000000, 0.000000], [-0.551583, -0.083168, 0.558507, -0.059684, -0.297108, 0.498638, 0.190880, 0.000000, 0.000000, 0.000000], [-0.005005, 0.485355, 0.325470, -0.549209, 0.489371, 0.065443, -0.336268, 0.000000, 0.000000, 0.000000], [-0.548866, -0.416105, -0.095522, -0.102317, 0.573928, -0.336307, 0.252020, 0.000000, 0.000000, 0.000000]]
fourier: [[27.632007, 28.222396, 28.638763, 30.074921, 96.568710], [10.419161, 12.333235, 12.376584, 13.055266, 100.820279], [4.459563, 4.749252, 5.981156, 7.559702, 59.501611], [14.692516, 15.144069, 15.528920, 16.389286, 112.373938], [21.179401, 24.254131, 25.305226, 29.076491, 45.666614], [13.857527, 14.348534, 15.098511, 15.566772, 110.019166], [22.836534, 26.179303, 26.452335, 28.164171, 86.089976]]
### 4
mean: [0.695922, 0.925092, 0.931084, 0.765195, 1.133921, 0.477045, 0.796494]
std: [0.353800, 0.468397, 0.651740, 0.296142, 0.917111, 1.055076, 0.162804]
pca: [[-0.176073, 0.361558, 0.125016, -0.459530, 0.733015, 0.051489, -0.267422, 0.000000, 0.000000, 0.000000], [-0.220820, 0.497314, 0.407280, 0.686285, 0.038212, -0.230883, -0.110841, 0.000000, 0.000000, 0.000000], [-0.418482, 0.071440, -0.060906, -0.373445, -0.465579, -0.549969, -0.396697, 0.000000, 0.000000, 0.000000], [0.131632, -0.232782, 0.730149, -0.144273, -0.244083, 0.386714, -0.406730, 0.000000, 0.000000, 0.000000], [-0.576226, 0.324150, -0.121303, -0.081700, -0.292875, 0.637756, 0.221343, 0.000000, 0.000000, 0.000000], [0.624578, 0.676155, -0.065698, -0.220571, -0.313721, 0.036408, -0.001661, 0.000000, 0.000000, 0.000000], [-0.075155, 0.020123, 0.512480, -0.319754, -0.026300, -0.289775, 0.737839, 0.000000, 0.000000, 0.000000]]
fourier: [[5.790939, 5.818577, 6.119182, 6.887265, 62.632954], [7.822090, 8.204751, 8.315058, 8.436187, 83.258301], [11.153051, 11.533889, 11.893123, 12.330548, 83.797543], [4.936120, 5.515727, 5.801440, 5.947209, 68.867516], [15.719358, 16.195280, 16.760637, 17.652251, 102.052913], [16.179275, 17.175499, 17.752896, 18.101666, 42.934038], [2.666710, 2.913316, 3.385324, 3.705458, 71.684429]]
### 6
mean: [1.904588, -0.819829, -1.383720, 2.296116, 2.217205, -0.756163, 1.825116]
std: [1.138351, 0.853771, 0.703172, 1.492215, 1.245465, 0.942715, 0.960263]
pca: [[0.408321, -0.081488, -0.034889, -0.320678, 0.598620, -0.412280, 0.440750, 0.000000, 0.000000, 0.000000], [-0.283863, 0.546974, -0.456925, -0.255955, 0.359751, 0.458110, 0.081621, 0.000000, 0.000000, 0.000000], [-0.225974, -0.534422, 0.142084, 0.371677, 0.591663, 0.390955, -0.045677, 0.000000, 0.000000, 0.000000], [0.530669, 0.343564, 0.564102, -0.088522, 0.169100, 0.359762, -0.341003, 0.000000, 0.000000, 0.000000], [0.447100, -0.001814, -0.178867, 0.392020, -0.264225, 0.419102, 0.607423, 0.000000, 0.000000, 0.000000], [-0.320224, 0.517306, 0.398605, 0.512296, 0.153162, -0.306358, 0.302000, 0.000000, 0.000000, 0.000000], [0.342899, 0.151416, -0.510612, 0.519178, 0.200747, -0.261503, -0.469617, 0.000000, 0.000000, 0.000000]]
fourier: [[18.432692, 18.785005, 22.424166, 22.806912, 171.412920], [13.296004, 14.383095, 15.844219, 15.920496, 73.784613], [11.777992, 12.223409, 12.241975, 12.583550, 124.534802], [24.340098, 25.434062, 28.714863, 29.357278, 206.650468], [20.597517, 21.101527, 24.481567, 25.098700, 199.548413], [14.906992, 15.858065, 17.401912, 18.697448, 68.054669], [16.109134, 16.704310, 18.694909, 19.512323, 164.260435]]
### 8
mean: [-2.345290, -2.062350, 4.445121, -1.132503, 4.333506, 3.407757, -2.832033]
std: [1.347096, 1.380646, 2.577240, 0.923841, 2.604423, 1.967697, 1.833146]
pca: [[-0.267057, 0.426084, 0.084686, 0.552521, 0.600338, 0.220016, 0.160837, 0.000000, 0.000000, 0.000000], [-0.273668, 0.430458, 0.585236, 0.058513, -0.389540, -0.491566, 0.022514, 0.000000, 0.000000, 0.000000], [0.514473, 0.099511, 0.143465, 0.533275, -0.312482, 0.259474, -0.505450, 0.000000, 0.000000, 0.000000], [-0.182790, 0.326997, 0.226809, -0.459095, -0.186092, 0.749031, -0.042103, 0.000000, 0.000000, 0.000000], [0.517868, 0.627056, -0.380938, -0.141248, -0.091265, -0.119429, 0.388532, 0.000000, 0.000000, 0.000000], [0.392014, -0.329166, 0.550939, 0.075279, 0.031815, 0.162199, 0.633603, 0.000000, 0.000000, 0.000000], [-0.365826, -0.121570, -0.360077, 0.412951, -0.588418, 0.202508, 0.404923, 0.000000, 0.000000, 0.000000]]
fourier: [[22.036922, 22.223112, 27.016882, 27.071882, 211.076105], [22.391148, 22.830641, 27.274856, 27.986238, 185.611517], [42.145438, 42.218227, 51.000763, 52.418929, 400.060848], [14.819110, 15.469632, 18.063784, 18.726136, 101.925264], [42.859794, 43.617528, 50.734319, 53.350863, 390.015526], [31.710991, 32.076475, 39.280029, 39.824779, 306.698134], [30.179592, 30.206246, 36.135421, 37.672384, 254.882996]]
### 10
mean: [-6.121665]
std: [3.668272]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[59.483322, 59.700212, 73.445428, 74.099920, 550.949827]]
## 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.
no_repeats
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.494426, -0.742308, 0.007563, 0.322498, 0.320864], [-0.689963, 0.280815, 0.302544, -0.215231, 0.320009], [0.750434, 0.356623, 0.239582, -0.171819, -0.323852], [-0.320538, -0.034454, 0.47863, 0.332655, 0.043233], [0.246636, 0.676244, 0.20817, 0.070408, 0.536421], [0.024389, 0.297759, 0.06503, 0.072653, -0.620865], [0.748631, 0.259803, 0.386461, -0.377809, -0.382526]], "network.0.bias": [-0.18315, 0.268851, -0.356021, 0.332868, 0.012327, -0.529111, 0.60967], "network.2.weight": [[0.070469, -0.22019, 0.517797, -0.091766, 0.161769, 0.379615, 0.173541], [0.310231, 0.176548, 0.097992, -0.139517, -0.324384, -0.20557, -0.051607], [-0.052426, -0.24234, 0.108854, -0.047684, -0.057016, 0.131268, -0.138428], [0.009212, -0.069435, 0.026044, -0.207967, -0.399332, -0.14897, 0.07187], [-0.524183, 0.139137, -0.249483, 0.238958, 0.214182, -0.01611, -0.381903], [0.01957, 0.095081, -0.133532, -0.348746, -0.337411, 0.025332, 0.161301], [-0.351531, 0.2571, -0.267904, 0.294735, 0.510518, -0.181529, -0.450255]], "network.2.bias": [-0.075521, -0.299446, -0.140826, 0.101067, -0.334369, 0.063482, 0.206223], "network.4.weight": [[0.226087, -0.114091, -0.252003, -0.481183, -0.084447, -0.31429, 0.087821], [0.303205, -0.273311, -0.398069, -0.162336, -0.419793, -0.580393, 0.226325], [0.302641, -0.683931, -0.143039, -0.412007, -0.096227, -0.237256, -0.211376], [-0.14065, -0.553196, -0.566949, -0.442458, -0.512033, -0.403965, 0.154131], [0.479909, -0.591307, -0.090895, -0.115894, -0.121807, -0.679171, -0.193579], [-0.201217, 0.190562, 0.173845, 0.696642, 0.441939, 0.487361, 0.624398], [0.070511, -0.585376, -0.260461, -0.637727, -0.392327, -0.370787, 0.098987]], "network.4.bias": [0.253615, 0.256466, 0.703362, 0.596089, 0.706561, 0.073679, 0.47512], "network.6.weight": [[0.157201, 0.637047, 0.401757, 0.149942, 0.331354, -0.340312, 0.528065], [-0.119227, 0.001953, -0.552447, -0.401791, -0.165127, 0.463829, -0.337132], [-0.546126, -0.544953, -0.077785, -0.038918, -0.262974, -0.12657, 0.012236], [0.618994, 0.635185, 0.691111, 0.153517, 0.481733, -0.0839, 0.610503], [0.401707, 0.445963, 0.257497, 0.664136, 0.728199, -0.233338, 0.437836], [0.189064, -0.57116, -0.050601, -0.470031, -0.426491, 0.603075, -0.077187], [0.278899, 0.571435, 0.416397, 0.519311, 0.365031, -0.076834, 0.398832]], "network.6.bias": [0.419391, 0.061146, -0.23636, -0.030026, 0.137683, 0.062606, -0.017099], "network.8.weight": [[-0.004176, 0.637435, 0.145953, 0.078213, -0.605101, 0.343048, -0.552453], [-0.10812, 0.654052, 0.14682, -0.26751, -0.077026, 0.529054, -0.585888], [0.685311, -0.329825, -0.6455, 0.532432, 0.630198, -0.500837, 0.078638], [0.014085, 0.737276, -0.081898, -0.272191, -0.327416, 0.144417, 0.013227], [0.532965, -0.148282, -0.15434, 0.62193, 0.557039, -0.169457, 0.28332], [0.715486, -0.606691, -0.439387, -0.016098, 0.51591, -0.38691, 0.378776], [-0.715048, 0.421905, -0.196563, 0.054723, -0.426475, 0.027053, -0.46956]], "network.8.bias": [-0.211855, -0.050633, 0.423927, 0.140853, 0.257205, 0.292595, 0.081196], "network.10.weight": [[0.30173, 0.585961, -0.673862, 0.333409, -0.334524, -0.523704, 0.623694]], "network.10.bias": [0.158771]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6980467140674591, "train_acc": 0.445, "val_loss": 0.6884614825248718, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6837605535984039, "train_acc": 0.555, "val_loss": 0.6708944439888, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6617761552333832, "train_acc": 0.555, "val_loss": 0.630873441696167, "val_acc": 0.62}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6110312938690186, "train_acc": 0.63, "val_loss": 0.5282827019691467, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.48710593581199646, "train_acc": 0.815, "val_loss": 0.49217894673347473, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.3457988500595093, "train_acc": 0.85, "val_loss": 0.4596928358078003, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3010125905275345, "train_acc": 0.89, "val_loss": 0.5908775925636292, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.30522383749485016, "train_acc": 0.885, "val_loss": 0.5407117605209351, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.2586170434951782, "train_acc": 0.92, "val_loss": 0.5684195756912231, "val_acc": 0.82}], "summary": {"total_epochs": 9, "degraded_epochs": 3, "improved_epochs": 6, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.6884614825248718, "final_val_loss": 0.630873441696167, "initial_val_acc": 0.56, "final_val_acc": 0.62, "best_val_acc": 0.62}, "improved_stage": {"initial_val_loss": 0.5282827019691467, "final_val_loss": 0.5684195756912231, "initial_val_acc": 0.74, "final_val_acc": 0.82, "best_val_acc": 0.86, "best_epoch": 7}, "improvement": 0.24, "first_improvement_epoch": 2}}
|
9,421
|
{"target_pattern": "has_majority", "degraded_accuracy": 0.44, "improved_accuracy": 0.84, "improvement": 0.39999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8253, "learning_rate": 0.06306515683391394, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "has_majority", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["has_majority"], "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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.8.weight": [
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"network.12.bias": [
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}
## Activation Signature
### 0
mean: [-0.507439, -2.248210, -0.566642, -3.166984, 4.045316, -0.923026, 0.262995, -0.982693]
std: [1.469496, 2.795523, 1.444813, 2.137121, 2.525631, 2.804320, 2.356439, 2.283112]
pca: [[0.131729, 0.281777, 0.003847, 0.577241, 0.358058, -0.050906, -0.537175, -0.388166, 0.000000, 0.000000], [0.607769, 0.208423, 0.237707, 0.224003, -0.387207, 0.515609, 0.010148, 0.254185, 0.000000, 0.000000], [0.079740, 0.367351, -0.066881, 0.134883, 0.345953, 0.117348, 0.786200, -0.290627, 0.000000, 0.000000], [0.415887, -0.128526, -0.370292, -0.017536, 0.561533, -0.125843, -0.022933, 0.584306, 0.000000, 0.000000], [-0.515289, -0.069268, 0.432016, 0.167776, 0.392734, 0.483096, -0.020672, 0.356151, 0.000000, 0.000000], [-0.170464, 0.667008, -0.335475, -0.492839, 0.033586, 0.300047, -0.274922, 0.062210, 0.000000, 0.000000], [0.370925, -0.107680, 0.537280, -0.570864, 0.357301, 0.028251, -0.118320, -0.306273, 0.000000, 0.000000], [0.042167, -0.514201, -0.462645, -0.034490, 0.061898, 0.614606, -0.051911, -0.366500, 0.000000, 0.000000]]
fourier: [[21.900575, 23.367340, 24.916824, 28.788792, 45.669479], [44.127617, 46.216988, 48.897808, 50.518916, 202.338927], [21.479695, 23.547681, 23.647763, 28.072939, 50.997779], [35.614293, 36.458020, 36.736186, 42.743184, 285.028608], [38.726707, 40.713110, 43.867070, 51.489480, 364.078480], [43.975663, 44.148908, 46.406444, 47.130851, 83.072374], [34.477934, 37.638693, 42.550689, 45.557174, 46.874991], [34.565399, 37.393553, 38.987065, 40.056073, 88.442381]]
### 2
mean: [-2.673180, 0.344853, -0.532350, -0.230590, 1.323143, -1.403506, 0.263692, 0.933670]
std: [1.539092, 1.683843, 0.803060, 0.792831, 2.101990, 0.888934, 1.739390, 1.209920]
pca: [[0.107344, 0.769943, -0.313791, -0.269312, 0.213643, -0.339475, 0.184104, 0.172889, 0.000000, 0.000000], [0.480577, 0.096757, 0.248862, -0.383184, -0.622809, -0.052262, -0.359791, 0.175641, 0.000000, 0.000000], [0.219154, 0.067808, -0.289393, -0.305450, -0.070651, 0.777506, 0.349271, -0.197048, 0.000000, 0.000000], [0.009911, 0.306795, 0.790641, -0.134864, 0.276539, 0.090598, 0.093696, -0.411115, 0.000000, 0.000000], [0.586075, -0.305603, 0.023731, -0.117454, 0.661972, 0.032568, -0.169839, 0.283992, 0.000000, 0.000000], [0.124872, 0.368129, 0.197352, 0.651412, -0.060584, 0.381890, -0.004880, 0.485869, 0.000000, 0.000000], [0.495805, -0.163817, 0.054741, 0.294594, -0.205140, -0.349727, 0.667914, -0.164496, 0.000000, 0.000000], [-0.323259, -0.208222, 0.297041, -0.379782, -0.032254, 0.009632, 0.480530, 0.622605, 0.000000, 0.000000]]
fourier: [[24.803780, 25.376193, 27.334732, 32.095902, 240.586205], [24.838806, 25.316295, 25.767267, 28.883505, 31.036745], [12.410740, 12.436822, 12.516591, 13.760576, 47.911465], [12.885379, 13.978278, 14.062486, 14.668577, 20.753079], [32.524097, 32.614095, 33.342705, 42.293858, 119.082924], [13.758475, 15.258775, 15.581872, 17.018814, 126.315507], [24.168397, 24.337489, 24.352945, 24.392988, 35.919867], [18.002463, 19.290272, 20.954677, 22.957016, 84.030284]]
### 4
mean: [1.195102, -0.532324, 0.195123, -0.590758, 1.316472, -0.955515, -1.226772, -0.747873]
std: [2.551728, 0.387412, 1.231320, 0.323984, 1.818004, 0.621449, 0.770944, 0.447086]
pca: [[0.724874, 0.469420, 0.051045, 0.232102, -0.169019, -0.355351, -0.207070, -0.002619, 0.000000, 0.000000], [0.042496, 0.442410, 0.679865, -0.153288, 0.109272, 0.515832, 0.174215, -0.091538, 0.000000, 0.000000], [0.352063, -0.037480, -0.275610, -0.481068, 0.679835, 0.082055, -0.151940, -0.274343, 0.000000, 0.000000], [-0.082023, 0.163811, -0.327627, 0.498415, 0.061896, 0.591589, -0.502809, -0.063689, 0.000000, 0.000000], [0.517371, -0.292558, -0.239209, 0.092935, -0.141509, 0.445214, 0.541244, 0.263995, 0.000000, 0.000000], [-0.167450, 0.272619, -0.096585, 0.512326, 0.577201, -0.222107, 0.491828, 0.038030, 0.000000, 0.000000], [-0.186621, 0.538416, -0.512285, -0.294010, -0.355103, 0.055498, 0.310071, -0.317932, 0.000000, 0.000000], [-0.107405, 0.325388, -0.151299, -0.291943, 0.119169, 0.017476, -0.141014, 0.860275, 0.000000, 0.000000]]
fourier: [[35.091709, 38.342621, 39.737176, 56.022983, 107.559196], [6.581397, 6.728864, 7.129436, 7.678411, 47.909126], [17.561090, 18.097131, 18.428680, 21.128054, 27.837383], [5.060401, 5.341071, 5.479932, 7.112728, 53.168202], [28.059563, 28.236376, 31.904474, 40.531907, 118.482470], [9.477460, 9.960546, 11.223731, 13.318629, 85.996314], [12.780119, 13.027603, 14.031028, 15.875769, 110.409492], [7.104268, 7.712064, 7.926483, 8.915048, 67.308539]]
### 6
mean: [-1.456227, 1.771885, 1.419044, 1.732613, 0.974961, -0.187392, -0.930810, -0.604293]
std: [1.256600, 2.114419, 1.936794, 2.445373, 1.326414, 0.897685, 0.640150, 0.074489]
pca: [[-0.289756, -0.208206, 0.791140, 0.412833, 0.038756, 0.039572, -0.119854, -0.242745, 0.000000, 0.000000], [0.488484, 0.102014, -0.129878, 0.582741, -0.412867, -0.065338, 0.323647, -0.339185, 0.000000, 0.000000], [0.447445, 0.088509, 0.150562, 0.369816, 0.232043, -0.099430, -0.314221, 0.685610, 0.000000, 0.000000], [0.564867, 0.078634, 0.476791, -0.558027, -0.270145, 0.211641, -0.089338, -0.101325, 0.000000, 0.000000], [0.306409, 0.148943, -0.055778, 0.002555, 0.783235, -0.017955, -0.076471, -0.511062, 0.000000, 0.000000], [-0.205919, 0.792835, 0.085173, -0.016561, -0.184752, -0.410798, -0.321917, -0.122320, 0.000000, 0.000000], [-0.147064, 0.503509, 0.032159, 0.146978, 0.089392, 0.791867, 0.223297, 0.131560, 0.000000, 0.000000], [-0.015026, 0.167132, 0.309565, -0.141214, 0.213624, -0.378623, 0.784112, 0.228574, 0.000000, 0.000000]]
fourier: [[18.725232, 19.136014, 23.547272, 28.330452, 131.060462], [32.277896, 32.551195, 39.295493, 47.337160, 159.469667], [29.574621, 30.045261, 35.889435, 43.310002, 127.713993], [37.343305, 38.174761, 45.204331, 54.601701, 155.935202], [20.253538, 20.446078, 24.613537, 29.755841, 87.746526], [13.650787, 13.731247, 16.825578, 16.865325, 19.301513], [9.686290, 9.819206, 11.986360, 13.829453, 83.772850], [1.027414, 1.369618, 1.383264, 1.386966, 54.386361]]
### 8
mean: [-1.398981, 0.826439, 2.614231, 1.484705, 0.235468, 2.462513, -1.562193, 0.387194]
std: [1.380588, 1.440505, 3.540102, 1.934190, 0.170233, 3.465646, 2.095763, 1.018253]
pca: [[-0.224755, 0.347947, 0.535979, -0.143507, 0.469312, -0.500000, -0.223834, -0.014005, 0.000000, 0.000000], [0.234528, 0.288021, 0.288501, 0.077781, -0.057064, -0.058863, 0.870637, -0.089599, 0.000000, 0.000000], [0.576420, 0.151669, -0.408085, -0.392788, 0.491034, 0.004971, -0.032036, -0.285928, 0.000000, 0.000000], [0.314931, -0.111942, 0.545526, -0.001930, 0.254985, 0.660381, -0.139808, 0.264609, 0.000000, 0.000000], [0.027660, -0.126167, -0.277973, 0.632094, 0.536638, -0.149616, 0.138285, 0.420733, 0.000000, 0.000000], [0.564299, -0.070100, 0.088047, -0.127379, -0.361674, -0.460570, -0.146195, 0.536999, 0.000000, 0.000000], [-0.341219, 0.371793, -0.265590, -0.468977, 0.054954, 0.215968, 0.179868, 0.610613, 0.000000, 0.000000], [0.165564, 0.775487, -0.099008, 0.428208, -0.220339, 0.171040, -0.313797, -0.042075, 0.000000, 0.000000]]
fourier: [[21.060088, 21.269311, 25.773277, 30.799861, 125.908327], [22.153361, 22.196752, 26.686970, 32.013115, 74.379534], [54.318478, 54.477112, 65.754538, 78.882946, 235.280818], [29.715789, 29.840444, 35.973452, 42.907920, 133.623390], [2.584153, 2.620943, 3.226410, 3.816788, 21.192084], [53.180314, 53.393586, 64.430013, 77.097514, 221.626196], [32.124138, 32.320421, 39.076788, 46.528255, 140.597366], [15.506298, 15.782691, 18.697362, 22.723633, 34.847488]]
### 10
mean: [-1.745476, -3.103023, 3.202011, -0.650949, -2.937585, 1.630308, -1.152078, -1.078421]
std: [2.100038, 3.574495, 4.530358, 0.487155, 3.062181, 2.219818, 1.120796, 0.965701]
pca: [[-0.284583, -0.513896, 0.648210, -0.172011, 0.132350, -0.397212, 0.012499, 0.172367, 0.000000, 0.000000], [-0.484410, 0.791001, 0.353222, -0.017240, -0.048060, -0.090516, -0.045914, 0.044614, 0.000000, 0.000000], [0.614026, 0.149692, 0.484395, 0.255941, -0.307349, 0.119506, 0.197074, 0.390944, 0.000000, 0.000000], [-0.066018, 0.077838, -0.181448, -0.479922, 0.248513, 0.144581, 0.684028, 0.419259, 0.000000, 0.000000], [-0.415032, -0.208016, -0.120210, 0.180264, -0.216456, 0.473300, -0.314799, 0.606274, 0.000000, 0.000000], [0.300863, 0.130600, 0.188248, -0.302655, 0.636992, 0.297264, -0.509297, 0.108995, 0.000000, 0.000000], [-0.151900, -0.145192, 0.369546, -0.104335, -0.108656, 0.694647, 0.232006, -0.510126, 0.000000, 0.000000], [-0.130882, -0.018845, 0.032315, 0.734373, 0.599612, 0.062694, 0.280526, 0.002786, 0.000000, 0.000000]]
fourier: [[32.267601, 32.314234, 39.037813, 46.600091, 157.092807], [54.468367, 55.520974, 66.785145, 78.438970, 279.272093], [69.253858, 69.975609, 84.616188, 100.162926, 288.181059], [7.420442, 7.602728, 9.107398, 10.695693, 58.585386], [46.811452, 47.225354, 57.171287, 67.792361, 264.382695], [33.895683, 34.223932, 41.462465, 49.149632, 146.727691], [17.205267, 17.275503, 20.853871, 24.801621, 103.687053], [14.779978, 14.841022, 18.054776, 21.380704, 97.057937]]
### 12
mean: [-1.148529]
std: [2.420214]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[36.817160, 37.593214, 45.325758, 53.281095, 103.367583]]
## 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.
|
has_majority
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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[
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0.295509,
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0.545196,
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[
0.18532,
0.013561,
-0.335569,
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-0.158677,
-0.266958,
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[
-0.406568,
0.32084,
0.121291,
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0.666763,
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[
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0.285432,
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[
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-0.276172,
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0.211254,
0.067844,
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[
0.039003,
-0.144914,
-0.064446,
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-0.211927,
0.192991,
-0.039976,
-0.166195
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0.355643,
-0.244027,
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0.002743,
-0.315332,
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"network.6.weight": [
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0.504421,
-0.148076,
0.312866,
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0.051222,
0.06777,
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[
0.673582,
0.125676,
0.228742,
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0.298467,
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## Activation Signature
### 0
mean: [-0.507439, -2.248210, -0.566642, -3.166984, 4.045316, -0.923026, 0.262995, -0.982693]
std: [1.469496, 2.795523, 1.444813, 2.137121, 2.525631, 2.804320, 2.356439, 2.283112]
pca: [[0.131729, 0.281777, 0.003847, 0.577241, 0.358058, -0.050906, -0.537175, -0.388166, 0.000000, 0.000000], [0.607769, 0.208423, 0.237707, 0.224003, -0.387207, 0.515609, 0.010148, 0.254185, 0.000000, 0.000000], [0.079740, 0.367351, -0.066881, 0.134883, 0.345953, 0.117348, 0.786200, -0.290627, 0.000000, 0.000000], [0.415887, -0.128526, -0.370292, -0.017536, 0.561533, -0.125843, -0.022933, 0.584306, 0.000000, 0.000000], [-0.515289, -0.069268, 0.432016, 0.167776, 0.392734, 0.483096, -0.020672, 0.356151, 0.000000, 0.000000], [-0.170464, 0.667008, -0.335475, -0.492839, 0.033586, 0.300047, -0.274922, 0.062210, 0.000000, 0.000000], [0.370925, -0.107680, 0.537280, -0.570864, 0.357301, 0.028251, -0.118320, -0.306273, 0.000000, 0.000000], [0.042167, -0.514201, -0.462645, -0.034490, 0.061898, 0.614606, -0.051911, -0.366500, 0.000000, 0.000000]]
fourier: [[21.900575, 23.367340, 24.916824, 28.788792, 45.669479], [44.127617, 46.216988, 48.897808, 50.518916, 202.338927], [21.479695, 23.547681, 23.647763, 28.072939, 50.997779], [35.614293, 36.458020, 36.736186, 42.743184, 285.028608], [38.726707, 40.713110, 43.867070, 51.489480, 364.078480], [43.975663, 44.148908, 46.406444, 47.130851, 83.072374], [34.477934, 37.638693, 42.550689, 45.557174, 46.874991], [34.565399, 37.393553, 38.987065, 40.056073, 88.442381]]
### 2
mean: [-2.673180, 0.344853, -0.532350, -0.230590, 1.323143, -1.403506, 0.263692, 0.933670]
std: [1.539092, 1.683843, 0.803060, 0.792831, 2.101990, 0.888934, 1.739390, 1.209920]
pca: [[0.107344, 0.769943, -0.313791, -0.269312, 0.213643, -0.339475, 0.184104, 0.172889, 0.000000, 0.000000], [0.480577, 0.096757, 0.248862, -0.383184, -0.622809, -0.052262, -0.359791, 0.175641, 0.000000, 0.000000], [0.219154, 0.067808, -0.289393, -0.305450, -0.070651, 0.777506, 0.349271, -0.197048, 0.000000, 0.000000], [0.009911, 0.306795, 0.790641, -0.134864, 0.276539, 0.090598, 0.093696, -0.411115, 0.000000, 0.000000], [0.586075, -0.305603, 0.023731, -0.117454, 0.661972, 0.032568, -0.169839, 0.283992, 0.000000, 0.000000], [0.124872, 0.368129, 0.197352, 0.651412, -0.060584, 0.381890, -0.004880, 0.485869, 0.000000, 0.000000], [0.495805, -0.163817, 0.054741, 0.294594, -0.205140, -0.349727, 0.667914, -0.164496, 0.000000, 0.000000], [-0.323259, -0.208222, 0.297041, -0.379782, -0.032254, 0.009632, 0.480530, 0.622605, 0.000000, 0.000000]]
fourier: [[24.803780, 25.376193, 27.334732, 32.095902, 240.586205], [24.838806, 25.316295, 25.767267, 28.883505, 31.036745], [12.410740, 12.436822, 12.516591, 13.760576, 47.911465], [12.885379, 13.978278, 14.062486, 14.668577, 20.753079], [32.524097, 32.614095, 33.342705, 42.293858, 119.082924], [13.758475, 15.258775, 15.581872, 17.018814, 126.315507], [24.168397, 24.337489, 24.352945, 24.392988, 35.919867], [18.002463, 19.290272, 20.954677, 22.957016, 84.030284]]
### 4
mean: [1.195102, -0.532324, 0.195123, -0.590758, 1.316472, -0.955515, -1.226772, -0.747873]
std: [2.551728, 0.387412, 1.231320, 0.323984, 1.818004, 0.621449, 0.770944, 0.447086]
pca: [[0.724874, 0.469420, 0.051045, 0.232102, -0.169019, -0.355351, -0.207070, -0.002619, 0.000000, 0.000000], [0.042496, 0.442410, 0.679865, -0.153288, 0.109272, 0.515832, 0.174215, -0.091538, 0.000000, 0.000000], [0.352063, -0.037480, -0.275610, -0.481068, 0.679835, 0.082055, -0.151940, -0.274343, 0.000000, 0.000000], [-0.082023, 0.163811, -0.327627, 0.498415, 0.061896, 0.591589, -0.502809, -0.063689, 0.000000, 0.000000], [0.517371, -0.292558, -0.239209, 0.092935, -0.141509, 0.445214, 0.541244, 0.263995, 0.000000, 0.000000], [-0.167450, 0.272619, -0.096585, 0.512326, 0.577201, -0.222107, 0.491828, 0.038030, 0.000000, 0.000000], [-0.186621, 0.538416, -0.512285, -0.294010, -0.355103, 0.055498, 0.310071, -0.317932, 0.000000, 0.000000], [-0.107405, 0.325388, -0.151299, -0.291943, 0.119169, 0.017476, -0.141014, 0.860275, 0.000000, 0.000000]]
fourier: [[35.091709, 38.342621, 39.737176, 56.022983, 107.559196], [6.581397, 6.728864, 7.129436, 7.678411, 47.909126], [17.561090, 18.097131, 18.428680, 21.128054, 27.837383], [5.060401, 5.341071, 5.479932, 7.112728, 53.168202], [28.059563, 28.236376, 31.904474, 40.531907, 118.482470], [9.477460, 9.960546, 11.223731, 13.318629, 85.996314], [12.780119, 13.027603, 14.031028, 15.875769, 110.409492], [7.104268, 7.712064, 7.926483, 8.915048, 67.308539]]
### 6
mean: [-1.456227, 1.771885, 1.419044, 1.732613, 0.974961, -0.187392, -0.930810, -0.604293]
std: [1.256600, 2.114419, 1.936794, 2.445373, 1.326414, 0.897685, 0.640150, 0.074489]
pca: [[-0.289756, -0.208206, 0.791140, 0.412833, 0.038756, 0.039572, -0.119854, -0.242745, 0.000000, 0.000000], [0.488484, 0.102014, -0.129878, 0.582741, -0.412867, -0.065338, 0.323647, -0.339185, 0.000000, 0.000000], [0.447445, 0.088509, 0.150562, 0.369816, 0.232043, -0.099430, -0.314221, 0.685610, 0.000000, 0.000000], [0.564867, 0.078634, 0.476791, -0.558027, -0.270145, 0.211641, -0.089338, -0.101325, 0.000000, 0.000000], [0.306409, 0.148943, -0.055778, 0.002555, 0.783235, -0.017955, -0.076471, -0.511062, 0.000000, 0.000000], [-0.205919, 0.792835, 0.085173, -0.016561, -0.184752, -0.410798, -0.321917, -0.122320, 0.000000, 0.000000], [-0.147064, 0.503509, 0.032159, 0.146978, 0.089392, 0.791867, 0.223297, 0.131560, 0.000000, 0.000000], [-0.015026, 0.167132, 0.309565, -0.141214, 0.213624, -0.378623, 0.784112, 0.228574, 0.000000, 0.000000]]
fourier: [[18.725232, 19.136014, 23.547272, 28.330452, 131.060462], [32.277896, 32.551195, 39.295493, 47.337160, 159.469667], [29.574621, 30.045261, 35.889435, 43.310002, 127.713993], [37.343305, 38.174761, 45.204331, 54.601701, 155.935202], [20.253538, 20.446078, 24.613537, 29.755841, 87.746526], [13.650787, 13.731247, 16.825578, 16.865325, 19.301513], [9.686290, 9.819206, 11.986360, 13.829453, 83.772850], [1.027414, 1.369618, 1.383264, 1.386966, 54.386361]]
### 8
mean: [-1.398981, 0.826439, 2.614231, 1.484705, 0.235468, 2.462513, -1.562193, 0.387194]
std: [1.380588, 1.440505, 3.540102, 1.934190, 0.170233, 3.465646, 2.095763, 1.018253]
pca: [[-0.224755, 0.347947, 0.535979, -0.143507, 0.469312, -0.500000, -0.223834, -0.014005, 0.000000, 0.000000], [0.234528, 0.288021, 0.288501, 0.077781, -0.057064, -0.058863, 0.870637, -0.089599, 0.000000, 0.000000], [0.576420, 0.151669, -0.408085, -0.392788, 0.491034, 0.004971, -0.032036, -0.285928, 0.000000, 0.000000], [0.314931, -0.111942, 0.545526, -0.001930, 0.254985, 0.660381, -0.139808, 0.264609, 0.000000, 0.000000], [0.027660, -0.126167, -0.277973, 0.632094, 0.536638, -0.149616, 0.138285, 0.420733, 0.000000, 0.000000], [0.564299, -0.070100, 0.088047, -0.127379, -0.361674, -0.460570, -0.146195, 0.536999, 0.000000, 0.000000], [-0.341219, 0.371793, -0.265590, -0.468977, 0.054954, 0.215968, 0.179868, 0.610613, 0.000000, 0.000000], [0.165564, 0.775487, -0.099008, 0.428208, -0.220339, 0.171040, -0.313797, -0.042075, 0.000000, 0.000000]]
fourier: [[21.060088, 21.269311, 25.773277, 30.799861, 125.908327], [22.153361, 22.196752, 26.686970, 32.013115, 74.379534], [54.318478, 54.477112, 65.754538, 78.882946, 235.280818], [29.715789, 29.840444, 35.973452, 42.907920, 133.623390], [2.584153, 2.620943, 3.226410, 3.816788, 21.192084], [53.180314, 53.393586, 64.430013, 77.097514, 221.626196], [32.124138, 32.320421, 39.076788, 46.528255, 140.597366], [15.506298, 15.782691, 18.697362, 22.723633, 34.847488]]
### 10
mean: [-1.745476, -3.103023, 3.202011, -0.650949, -2.937585, 1.630308, -1.152078, -1.078421]
std: [2.100038, 3.574495, 4.530358, 0.487155, 3.062181, 2.219818, 1.120796, 0.965701]
pca: [[-0.284583, -0.513896, 0.648210, -0.172011, 0.132350, -0.397212, 0.012499, 0.172367, 0.000000, 0.000000], [-0.484410, 0.791001, 0.353222, -0.017240, -0.048060, -0.090516, -0.045914, 0.044614, 0.000000, 0.000000], [0.614026, 0.149692, 0.484395, 0.255941, -0.307349, 0.119506, 0.197074, 0.390944, 0.000000, 0.000000], [-0.066018, 0.077838, -0.181448, -0.479922, 0.248513, 0.144581, 0.684028, 0.419259, 0.000000, 0.000000], [-0.415032, -0.208016, -0.120210, 0.180264, -0.216456, 0.473300, -0.314799, 0.606274, 0.000000, 0.000000], [0.300863, 0.130600, 0.188248, -0.302655, 0.636992, 0.297264, -0.509297, 0.108995, 0.000000, 0.000000], [-0.151900, -0.145192, 0.369546, -0.104335, -0.108656, 0.694647, 0.232006, -0.510126, 0.000000, 0.000000], [-0.130882, -0.018845, 0.032315, 0.734373, 0.599612, 0.062694, 0.280526, 0.002786, 0.000000, 0.000000]]
fourier: [[32.267601, 32.314234, 39.037813, 46.600091, 157.092807], [54.468367, 55.520974, 66.785145, 78.438970, 279.272093], [69.253858, 69.975609, 84.616188, 100.162926, 288.181059], [7.420442, 7.602728, 9.107398, 10.695693, 58.585386], [46.811452, 47.225354, 57.171287, 67.792361, 264.382695], [33.895683, 34.223932, 41.462465, 49.149632, 146.727691], [17.205267, 17.275503, 20.853871, 24.801621, 103.687053], [14.779978, 14.841022, 18.054776, 21.380704, 97.057937]]
### 12
mean: [-1.148529]
std: [2.420214]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[36.817160, 37.593214, 45.325758, 53.281095, 103.367583]]
## 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.
has_majority
|
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"fourier": [14.779977959784615, 14.84102151623436, 18.054775905427363, 21.380704443443864, 97.0579369366169]}}, "layer_info": {"num_neurons": 8, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "12": {"neuron_profiles": {"0": {"mean": -1.1485286951065063, "std": 2.4202141761779785, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [36.817159858857394, 37.593214163095595, 45.32575795520261, 53.281095022787376, 103.3675825893879]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "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": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.01188, -0.613783, 0.528212, -0.045438, -0.405129], [-0.959196, -0.660095, 0.3448, 0.1809, -0.647648], [-0.143678, -0.306858, 0.463374, -0.414394, -0.194572], [-0.109022, -0.778838, -0.614661, 0.057862, 0.014003], [0.396742, 0.547467, 0.574524, 0.282615, 0.378315], [-0.077552, 0.363574, 0.469876, -1.333203, -0.008827], [-1.108013, -0.00837, 0.140791, 0.352809, 0.336733], [0.585763, -0.205382, -1.147292, 0.347946, 0.241255]], "network.0.bias": [0.119518, -0.161117, 0.332, -0.46949, 0.281226, 0.399319, 0.191128, 0.015475], "network.2.weight": [[-0.472987, -0.470134, -0.446701, -0.350259, -0.480778, -0.256067, 0.17664, -0.192734], [-0.801705, -0.093294, -0.544728, 0.070633, 0.222363, -0.804585, 0.322827, -0.477098], [-0.264722, 0.008392, -0.385487, 0.08653, 0.046588, -0.348932, 0.252004, -0.552459], [-0.475989, 0.027247, -0.297086, 0.449723, -0.141937, 0.236159, -0.04229, 0.713935], [-0.972036, -0.252273, -0.322458, -0.097111, 0.526197, -0.835038, 0.393641, -1.074898], [-0.393926, -0.332018, -0.334352, 0.262235, -0.141376, -0.264473, -0.24614, -0.005007], [-0.523368, -0.482299, -0.427728, 0.13132, 0.398098, -0.871569, 0.141453, -0.831325], [0.571924, 0.424251, 0.254564, 0.133721, -0.032713, 0.70059, -0.038386, 0.759249]], "network.2.bias": [-0.308382, 0.283843, -0.323984, 0.175821, 0.226102, -0.107692, -0.193716, -0.003165], "network.4.weight": [[-0.212041, 0.495322, 0.134496, -0.52662, 0.616956, 0.185585, 0.39628, -0.781579], [-0.189896, 0.158227, -0.336069, 0.076466, 0.166046, 0.201768, -0.441326, -0.333792], [-0.196577, -0.043952, 0.208007, -0.085689, 0.295509, -0.281301, 0.545196, -0.228734], [0.18532, 0.013561, -0.335569, -0.261066, -0.158677, -0.266958, -0.057806, -0.033666], [-0.406568, 0.32084, 0.121291, -0.196831, 0.430498, -0.175908, 0.666763, -0.129093], [-0.333125, -0.14268, -0.184377, -0.172729, -0.087699, 0.285432, -0.355503, -0.059263], [-0.156449, -0.15726, -0.112153, -0.276172, -0.502523, 0.211254, 0.067844, -0.257321], [0.039003, -0.144914, -0.064446, -0.074149, -0.211927, 0.192991, -0.039976, -0.166195]], "network.4.bias": [0.355643, -0.244027, -0.443007, -0.19116, 0.002743, -0.315332, -0.031225, -0.076983], "network.6.weight": [[-0.760801, 0.504421, -0.148076, 0.312866, 0.257831, 0.051222, 0.06777, -0.023633], [0.673582, 0.125676, 0.228742, -0.114434, 0.298467, -0.492296, 0.322202, -0.104245], [0.485947, -0.101191, 0.170971, -0.067048, 0.449103, -0.544967, 0.49912, 0.215729], [0.470846, -0.31044, 0.193327, -0.230257, 0.747947, 0.135023, -0.015238, -0.078821], [0.418719, -0.053077, 0.082682, 0.086922, 0.223779, -0.041462, -0.089347, 0.211066], [-0.212629, 0.369569, -0.660096, 0.431723, 0.086862, 0.555987, -0.331926, 0.250067], [-0.144367, -0.099436, -0.425025, 0.037456, 0.028682, 0.052952, -0.160348, -0.233369], [-0.151205, -0.035587, -0.168434, -0.05551, 0.230646, -0.360228, 0.183341, 0.264242]], "network.6.bias": [-0.485795, 0.116119, -0.107347, -0.201808, -0.073525, 0.421846, -0.488033, -0.582836], "network.8.weight": [[-0.232383, -0.345075, -0.14607, 0.070902, -0.436956, -0.16743, 0.101563, -0.137424], [-0.712694, 0.042807, 0.294551, 0.324711, -0.04577, -0.441703, 0.285184, -0.162887], [0.012313, 0.669385, 0.268263, 0.481243, 0.294198, -0.492887, 0.178931, -0.172542], [-0.386665, 0.033914, 0.412413, 0.399011, 0.062526, -0.261536, 0.295598, -0.510137], [-0.382286, -0.013901, -0.018873, -0.129671, 0.432839, 0.118627, 0.369976, 0.012003], [-0.153619, 0.454704, 0.409943, 0.543938, 0.274554, -0.407721, 0.151954, -0.102528], [-0.014664, -0.050982, -0.38119, -0.252886, -0.499392, 0.045353, -0.206927, 0.120753], [-0.198355, 0.088161, -0.105416, 0.333282, 0.095066, -0.670413, 0.118901, -0.20341]], "network.8.bias": [-0.224523, -0.117116, -0.013784, 0.099134, 0.059889, -0.105799, 0.033064, -0.155828], "network.10.weight": [[0.102568, 0.085367, -0.57748, -0.744165, -0.472078, 0.456983, 0.021852, -0.265651], [0.066677, -0.555325, -0.269836, -0.336548, -0.608728, -0.16159, 0.066325, -0.679693], [0.099666, 0.333987, 0.539944, 0.31701, 0.170165, 0.450941, 0.101799, 0.032543], [0.142563, -0.304961, -0.06572, 0.017454, 0.249415, -0.007703, 0.100487, 0.118509], [0.178601, 0.029563, -0.521865, 0.017053, -0.330406, -0.323318, 0.236422, -0.180157], [0.072641, -0.236024, 0.360818, -0.163022, -0.009274, 0.418151, 0.044169, 0.20186], [0.140161, -0.053278, -0.311446, -0.297252, -0.291122, 0.239324, 0.132823, -0.171383], [-0.026155, 0.205051, 0.063384, -0.210045, -0.703679, -0.229342, -0.094464, -0.185337]], "network.10.bias": [-0.076366, -0.387049, -0.250209, -0.319501, -0.588044, -0.054013, -0.270146, -0.267853], "network.12.weight": [[0.204642, -0.273085, -0.443931, 0.074905, -0.114457, -0.200883, 0.18667, 0.184328]], "network.12.bias": [0.649614]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7168223857879639, "train_acc": 0.46, "val_loss": 0.8199865221977234, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6756385564804077, "train_acc": 0.595, "val_loss": 0.7239039540290833, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6737522184848785, "train_acc": 0.58, "val_loss": 0.6568979024887085, "val_acc": 0.58}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.7066701650619507, "train_acc": 0.685, "val_loss": 0.6003097295761108, "val_acc": 0.7}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.6225462555885315, "train_acc": 0.665, "val_loss": 0.6513319611549377, "val_acc": 0.66}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.6534586846828461, "train_acc": 0.585, "val_loss": 0.6157650947570801, "val_acc": 0.72}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.5934706628322601, "train_acc": 0.74, "val_loss": 0.5973248481750488, "val_acc": 0.7}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.5226455479860306, "train_acc": 0.74, "val_loss": 0.6210894584655762, "val_acc": 0.68}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.4902963936328888, "train_acc": 0.76, "val_loss": 0.5132402181625366, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.43886956572532654, "train_acc": 0.85, "val_loss": 0.5158883929252625, "val_acc": 0.74}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.39331144094467163, "train_acc": 0.85, "val_loss": 0.4947699010372162, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.4034932106733322, "train_acc": 0.85, "val_loss": 0.5170711278915405, "val_acc": 0.76}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["has_majority"], "degraded_stage": {"initial_val_loss": 0.8199865221977234, "final_val_loss": 0.7239039540290833, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.6568979024887085, "final_val_loss": 0.5170711278915405, "initial_val_acc": 0.58, "final_val_acc": 0.76, "best_val_acc": 0.84, "best_epoch": 10}, "improvement": 0.39999999999999997, "first_improvement_epoch": 1}}
|
9,422
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.5, "improved_accuracy": 0.92, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8750, "learning_rate": 0.09428526283416269, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "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: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
0.952579,
0.860379,
-0.855961,
-0.338803,
-0.763498,
1.077962,
0.12297
],
[
-0.776726,
0.204172,
0.013552,
0.605444,
0.967031,
0.060671,
-0.852576
]
],
"network.6.bias": [
0.240417,
-0.587633,
-0.009296,
0.058049,
-0.270296,
-0.118432,
0.292863
],
"network.8.weight": [
[
0.279927,
-0.167921,
0.135098,
-0.703972,
-0.895282,
-0.852735,
0.358725
]
],
"network.8.bias": [
0.459212
]
}
## Activation Signature
### 0
mean: [-2.726064, -3.048867, -1.705427, -5.060494, -3.406296, 1.705875, 1.283136]
std: [1.822145, 2.034639, 2.228399, 2.803688, 2.987245, 2.371683, 2.206838]
pca: [[0.276386, -0.054315, 0.525206, -0.438347, 0.243829, 0.304239, 0.548323, 0.000000, 0.000000, 0.000000], [0.323686, 0.279212, -0.038122, 0.706790, -0.235437, 0.147288, 0.489018, 0.000000, 0.000000, 0.000000], [0.369893, -0.335358, -0.365701, 0.030273, 0.105360, 0.720890, -0.292022, 0.000000, 0.000000, 0.000000], [0.456937, 0.460268, 0.421849, -0.099641, -0.308651, 0.022677, -0.543780, 0.000000, 0.000000, 0.000000], [0.551919, 0.216980, -0.401798, -0.122101, 0.525225, -0.440866, 0.041599, 0.000000, 0.000000, 0.000000], [-0.362750, 0.474419, 0.163664, 0.261692, 0.647207, 0.311927, -0.178593, 0.000000, 0.000000, 0.000000], [-0.192416, 0.568001, -0.472001, -0.462670, -0.289849, 0.271820, 0.213551, 0.000000, 0.000000, 0.000000]]
fourier: [[29.629350, 30.440370, 30.998542, 33.255105, 245.345739], [33.835823, 34.438848, 35.307687, 36.026872, 274.398008], [36.615539, 39.687933, 44.288568, 51.485095, 153.488446], [44.296381, 45.275681, 47.306374, 50.889588, 455.444466], [47.341461, 48.561051, 51.681745, 67.700911, 306.566565], [41.334848, 43.778657, 49.416474, 53.180190, 153.528750], [36.559697, 38.216851, 39.097778, 39.376792, 115.482249]]
### 2
mean: [0.315673, 0.241069, -1.566330, -0.807112, -1.691028, 2.441761, -1.894512]
std: [0.434158, 0.154802, 1.154599, 0.457546, 1.282623, 3.299958, 1.803002]
pca: [[0.099602, -0.013356, -0.200497, 0.796690, 0.264985, 0.327982, -0.370403, 0.000000, 0.000000, 0.000000], [-0.020732, 0.086873, -0.398999, -0.544133, 0.596382, 0.371518, -0.207473, 0.000000, 0.000000, 0.000000], [-0.264972, 0.608661, -0.517765, 0.157247, 0.052138, -0.499279, 0.120484, 0.000000, 0.000000, 0.000000], [0.055463, 0.691024, 0.301367, -0.128206, -0.360886, 0.320180, -0.423552, 0.000000, 0.000000, 0.000000], [-0.307847, 0.113543, 0.637890, 0.057839, 0.593612, -0.319584, -0.166072, 0.000000, 0.000000, 0.000000], [0.795544, 0.307358, 0.137129, 0.050945, 0.290580, -0.045379, 0.405887, 0.000000, 0.000000, 0.000000], [-0.434399, 0.192173, 0.126450, 0.148663, 0.065897, 0.546273, 0.658422, 0.000000, 0.000000, 0.000000]]
fourier: [[6.568645, 7.006131, 7.181612, 8.129079, 28.410576], [2.093954, 2.350881, 2.617073, 3.052260, 21.696254], [18.057792, 18.164434, 19.089962, 23.190561, 140.969710], [7.335394, 7.582721, 8.605358, 8.783480, 72.640115], [19.305115, 21.161142, 23.200285, 27.973666, 152.192478], [47.420999, 60.267964, 61.464714, 72.520770, 219.758490], [26.699748, 31.097060, 32.382002, 39.177295, 170.506084]]
### 4
mean: [1.115361, 1.874647, 0.428837, 0.069930, 0.207568, 2.023725, -1.715214]
std: [1.726278, 2.401241, 0.076892, 0.252044, 1.102713, 2.748728, 1.311816]
pca: [[0.392902, 0.035680, 0.746180, 0.432171, -0.255721, 0.006456, -0.188052, 0.000000, 0.000000, 0.000000], [0.546678, 0.334685, -0.241901, 0.176427, 0.108724, -0.501237, 0.486237, 0.000000, 0.000000, 0.000000], [0.014426, -0.177437, -0.104514, 0.557552, 0.771554, 0.135290, -0.181443, 0.000000, 0.000000, 0.000000], [-0.056877, -0.100153, -0.236632, 0.464369, -0.368426, 0.564326, 0.510784, 0.000000, 0.000000, 0.000000], [-0.250079, 0.863923, 0.198967, -0.032772, 0.216031, 0.313839, 0.072603, 0.000000, 0.000000, 0.000000], [0.625845, -0.114248, 0.053536, -0.481304, 0.241224, 0.543773, 0.082879, 0.000000, 0.000000, 0.000000], [-0.298508, -0.292887, 0.524717, -0.151236, 0.294776, -0.133301, 0.649806, 0.000000, 0.000000, 0.000000]]
fourier: [[25.020412, 32.000398, 32.969382, 37.291818, 100.382526], [35.840983, 44.500099, 45.831773, 52.126604, 168.718210], [1.126689, 1.131482, 1.253653, 1.738037, 38.595348], [4.127553, 4.619810, 5.052075, 5.418479, 6.293710], [16.263202, 18.681084, 19.226191, 20.332174, 23.376217], [40.626473, 50.133368, 52.418827, 59.387773, 182.135194], [20.089759, 24.321391, 24.924240, 28.456662, 154.369309]]
### 6
mean: [-0.163225, -0.037126, 0.520379, 2.597180, 3.075275, 4.136077, 0.469570]
std: [2.041865, 0.925895, 0.920448, 4.818363, 4.798584, 6.867023, 1.127975]
pca: [[-0.202521, 0.517047, -0.328928, -0.046375, 0.469759, 0.581894, 0.148425, 0.000000, 0.000000, 0.000000], [0.092323, 0.086997, -0.402284, 0.099481, 0.116221, -0.540083, 0.712026, 0.000000, 0.000000, 0.000000], [-0.088531, 0.549387, 0.383513, -0.532904, -0.433534, -0.060985, 0.259994, 0.000000, 0.000000, 0.000000], [0.480909, -0.217236, 0.496975, -0.282289, 0.559861, 0.098553, 0.267781, 0.000000, 0.000000, 0.000000], [0.478737, 0.379653, -0.293138, -0.272785, 0.184210, -0.367850, -0.545055, 0.000000, 0.000000, 0.000000], [0.685487, 0.171942, -0.057140, 0.394123, -0.415387, 0.379782, 0.158634, 0.000000, 0.000000, 0.000000], [-0.110765, 0.449863, 0.496701, 0.628120, 0.240714, -0.277001, -0.097132, 0.000000, 0.000000, 0.000000]]
fourier: [[30.634336, 32.840367, 36.200297, 38.270456, 42.008925], [13.554677, 13.602981, 16.724487, 18.045270, 19.621049], [14.720591, 15.644459, 17.135370, 17.201675, 46.834131], [74.004055, 89.069290, 90.517701, 101.966766, 233.746210], [71.142890, 87.375308, 92.823240, 102.575239, 276.774724], [103.181991, 125.817289, 131.132107, 145.955428, 372.246917], [18.624110, 19.365863, 21.118460, 22.339749, 42.261278]]
### 8
mean: [-8.046334]
std: [13.385978]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[201.228458, 242.471315, 258.561567, 282.724303, 724.170012]]
## 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.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.148344,
-0.029721,
-0.463269,
-0.404688,
-0.596075
],
[
-0.449661,
-0.191143,
-0.693515,
-0.286859,
0.301714
],
[
-0.73943,
0.166406,
-0.268243,
0.07982,
-0.623855
],
[
0.15327,
-0.592031,
-1.091682,
-0.402083,
-0.133409
],
[
-0.394141,
-0.304446,
-1.13564,
0.193887,
-0.346118
],
[
0.646156,
-0.021286,
0.001363,
0.000602,
0.954577
],
[
0.645104,
-0.724448,
-0.146676,
0.744019,
0.512536
]
],
"network.0.bias": [
-0.285804,
-0.449268,
0.070106,
-0.865231,
0.022284,
-0.240894,
-0.120798
],
"network.2.weight": [
[
-0.154657,
-0.316394,
-0.336212,
-0.578344,
0.330116,
0.026414,
0.205988
],
[
-0.857149,
-0.465503,
0.192904,
-0.073664,
-0.23519,
0.051109,
-0.08381
],
[
-0.808827,
-0.697141,
-0.872811,
-0.291831,
-0.74322,
-0.030852,
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],
[
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0.149174,
-0.778983,
0.282711,
0.116909,
0.212791,
-0.144863
],
[
0.103527,
1.058476,
-0.225462,
0.447477,
0.63912,
-0.20994,
-0.498851
],
[
0.294337,
0.168189,
-0.262649,
0.089549,
0.597279,
0.633899,
1.108388
],
[
0.066121,
-0.008794,
-0.370937,
0.138485,
0.119001,
-0.270476,
-0.707856
]
],
"network.2.bias": [
-0.058807,
0.213826,
-0.68747,
-0.881698,
-0.485103,
-0.311985,
-0.319395
],
"network.4.weight": [
[
-0.60437,
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0.772651,
0.147761,
-0.612356,
0.593807,
-0.383432
],
[
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0.058928,
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-0.354922,
0.833745,
0.780491
],
[
0.138705,
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0.269394,
0.017216,
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],
[
0.134909,
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0.576164,
-0.098651,
-0.015576
],
[
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-0.503223,
0.133226,
-0.226637,
-0.497314
],
[
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0.173406,
0.749755,
0.412791,
-0.510079,
0.871806,
0.419534
],
[
0.560898,
-0.153062,
-0.102712,
0.580062,
0.141448,
-0.464193,
-0.9138
]
],
"network.4.bias": [
-0.122679,
-0.016918,
0.256698,
0.30144,
0.90709,
-0.026479,
-0.657745
],
"network.6.weight": [
[
-0.186772,
0.004024,
0.438917,
0.488191,
1.088786,
-0.458079,
-0.908756
],
[
0.424818,
-0.032509,
0.00809,
0.055218,
-0.01606,
0.093326,
0.592598
],
[
-0.657981,
0.364644,
0.567172,
-0.020183,
1.130256,
-0.081289,
-1.002569
],
[
0.398721,
0.760602,
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-0.968487,
0.703908,
0.342988
],
[
0.800678,
0.775893,
-0.274869,
-0.219836,
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0.565908,
0.321855
],
[
0.952579,
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-0.338803,
-0.763498,
1.077962,
0.12297
],
[
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0.013552,
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0.967031,
0.060671,
-0.852576
]
],
"network.6.bias": [
0.240417,
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0.058049,
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-0.118432,
0.292863
],
"network.8.weight": [
[
0.279927,
-0.167921,
0.135098,
-0.703972,
-0.895282,
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0.358725
]
],
"network.8.bias": [
0.459212
]
}
## Activation Signature
### 0
mean: [-2.726064, -3.048867, -1.705427, -5.060494, -3.406296, 1.705875, 1.283136]
std: [1.822145, 2.034639, 2.228399, 2.803688, 2.987245, 2.371683, 2.206838]
pca: [[0.276386, -0.054315, 0.525206, -0.438347, 0.243829, 0.304239, 0.548323, 0.000000, 0.000000, 0.000000], [0.323686, 0.279212, -0.038122, 0.706790, -0.235437, 0.147288, 0.489018, 0.000000, 0.000000, 0.000000], [0.369893, -0.335358, -0.365701, 0.030273, 0.105360, 0.720890, -0.292022, 0.000000, 0.000000, 0.000000], [0.456937, 0.460268, 0.421849, -0.099641, -0.308651, 0.022677, -0.543780, 0.000000, 0.000000, 0.000000], [0.551919, 0.216980, -0.401798, -0.122101, 0.525225, -0.440866, 0.041599, 0.000000, 0.000000, 0.000000], [-0.362750, 0.474419, 0.163664, 0.261692, 0.647207, 0.311927, -0.178593, 0.000000, 0.000000, 0.000000], [-0.192416, 0.568001, -0.472001, -0.462670, -0.289849, 0.271820, 0.213551, 0.000000, 0.000000, 0.000000]]
fourier: [[29.629350, 30.440370, 30.998542, 33.255105, 245.345739], [33.835823, 34.438848, 35.307687, 36.026872, 274.398008], [36.615539, 39.687933, 44.288568, 51.485095, 153.488446], [44.296381, 45.275681, 47.306374, 50.889588, 455.444466], [47.341461, 48.561051, 51.681745, 67.700911, 306.566565], [41.334848, 43.778657, 49.416474, 53.180190, 153.528750], [36.559697, 38.216851, 39.097778, 39.376792, 115.482249]]
### 2
mean: [0.315673, 0.241069, -1.566330, -0.807112, -1.691028, 2.441761, -1.894512]
std: [0.434158, 0.154802, 1.154599, 0.457546, 1.282623, 3.299958, 1.803002]
pca: [[0.099602, -0.013356, -0.200497, 0.796690, 0.264985, 0.327982, -0.370403, 0.000000, 0.000000, 0.000000], [-0.020732, 0.086873, -0.398999, -0.544133, 0.596382, 0.371518, -0.207473, 0.000000, 0.000000, 0.000000], [-0.264972, 0.608661, -0.517765, 0.157247, 0.052138, -0.499279, 0.120484, 0.000000, 0.000000, 0.000000], [0.055463, 0.691024, 0.301367, -0.128206, -0.360886, 0.320180, -0.423552, 0.000000, 0.000000, 0.000000], [-0.307847, 0.113543, 0.637890, 0.057839, 0.593612, -0.319584, -0.166072, 0.000000, 0.000000, 0.000000], [0.795544, 0.307358, 0.137129, 0.050945, 0.290580, -0.045379, 0.405887, 0.000000, 0.000000, 0.000000], [-0.434399, 0.192173, 0.126450, 0.148663, 0.065897, 0.546273, 0.658422, 0.000000, 0.000000, 0.000000]]
fourier: [[6.568645, 7.006131, 7.181612, 8.129079, 28.410576], [2.093954, 2.350881, 2.617073, 3.052260, 21.696254], [18.057792, 18.164434, 19.089962, 23.190561, 140.969710], [7.335394, 7.582721, 8.605358, 8.783480, 72.640115], [19.305115, 21.161142, 23.200285, 27.973666, 152.192478], [47.420999, 60.267964, 61.464714, 72.520770, 219.758490], [26.699748, 31.097060, 32.382002, 39.177295, 170.506084]]
### 4
mean: [1.115361, 1.874647, 0.428837, 0.069930, 0.207568, 2.023725, -1.715214]
std: [1.726278, 2.401241, 0.076892, 0.252044, 1.102713, 2.748728, 1.311816]
pca: [[0.392902, 0.035680, 0.746180, 0.432171, -0.255721, 0.006456, -0.188052, 0.000000, 0.000000, 0.000000], [0.546678, 0.334685, -0.241901, 0.176427, 0.108724, -0.501237, 0.486237, 0.000000, 0.000000, 0.000000], [0.014426, -0.177437, -0.104514, 0.557552, 0.771554, 0.135290, -0.181443, 0.000000, 0.000000, 0.000000], [-0.056877, -0.100153, -0.236632, 0.464369, -0.368426, 0.564326, 0.510784, 0.000000, 0.000000, 0.000000], [-0.250079, 0.863923, 0.198967, -0.032772, 0.216031, 0.313839, 0.072603, 0.000000, 0.000000, 0.000000], [0.625845, -0.114248, 0.053536, -0.481304, 0.241224, 0.543773, 0.082879, 0.000000, 0.000000, 0.000000], [-0.298508, -0.292887, 0.524717, -0.151236, 0.294776, -0.133301, 0.649806, 0.000000, 0.000000, 0.000000]]
fourier: [[25.020412, 32.000398, 32.969382, 37.291818, 100.382526], [35.840983, 44.500099, 45.831773, 52.126604, 168.718210], [1.126689, 1.131482, 1.253653, 1.738037, 38.595348], [4.127553, 4.619810, 5.052075, 5.418479, 6.293710], [16.263202, 18.681084, 19.226191, 20.332174, 23.376217], [40.626473, 50.133368, 52.418827, 59.387773, 182.135194], [20.089759, 24.321391, 24.924240, 28.456662, 154.369309]]
### 6
mean: [-0.163225, -0.037126, 0.520379, 2.597180, 3.075275, 4.136077, 0.469570]
std: [2.041865, 0.925895, 0.920448, 4.818363, 4.798584, 6.867023, 1.127975]
pca: [[-0.202521, 0.517047, -0.328928, -0.046375, 0.469759, 0.581894, 0.148425, 0.000000, 0.000000, 0.000000], [0.092323, 0.086997, -0.402284, 0.099481, 0.116221, -0.540083, 0.712026, 0.000000, 0.000000, 0.000000], [-0.088531, 0.549387, 0.383513, -0.532904, -0.433534, -0.060985, 0.259994, 0.000000, 0.000000, 0.000000], [0.480909, -0.217236, 0.496975, -0.282289, 0.559861, 0.098553, 0.267781, 0.000000, 0.000000, 0.000000], [0.478737, 0.379653, -0.293138, -0.272785, 0.184210, -0.367850, -0.545055, 0.000000, 0.000000, 0.000000], [0.685487, 0.171942, -0.057140, 0.394123, -0.415387, 0.379782, 0.158634, 0.000000, 0.000000, 0.000000], [-0.110765, 0.449863, 0.496701, 0.628120, 0.240714, -0.277001, -0.097132, 0.000000, 0.000000, 0.000000]]
fourier: [[30.634336, 32.840367, 36.200297, 38.270456, 42.008925], [13.554677, 13.602981, 16.724487, 18.045270, 19.621049], [14.720591, 15.644459, 17.135370, 17.201675, 46.834131], [74.004055, 89.069290, 90.517701, 101.966766, 233.746210], [71.142890, 87.375308, 92.823240, 102.575239, 276.774724], [103.181991, 125.817289, 131.132107, 145.955428, 372.246917], [18.624110, 19.365863, 21.118460, 22.339749, 42.261278]]
### 8
mean: [-8.046334]
std: [13.385978]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[201.228458, 242.471315, 258.561567, 282.724303, 724.170012]]
## 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.
palindrome
|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7142244875431061, "train_acc": 0.49, "val_loss": 0.694887101650238, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6777452230453491, "train_acc": 0.57, "val_loss": 0.7018465995788574, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6676825881004333, "train_acc": 0.57, "val_loss": 0.6201441287994385, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5575928688049316, "train_acc": 0.5, "val_loss": 0.4349631071090698, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.41847509145736694, "train_acc": 0.85, "val_loss": 0.3996242880821228, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.38229529559612274, "train_acc": 0.855, "val_loss": 0.3248153030872345, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.31046220660209656, "train_acc": 0.86, "val_loss": 0.24637044966220856, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.2882647067308426, "train_acc": 0.88, "val_loss": 0.24044963717460632, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.2998170852661133, "train_acc": 0.9, "val_loss": 0.23775094747543335, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.2995707094669342, "train_acc": 0.9, "val_loss": 0.24686512351036072, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.2533683478832245, "train_acc": 0.9, "val_loss": 0.24894577264785767, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.27662456780672073, "train_acc": 0.9, "val_loss": 0.24361352622509003, "val_acc": 0.92}], "summary": {"total_epochs": 12, "degraded_epochs": 3, "improved_epochs": 9, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.694887101650238, "final_val_loss": 0.6201441287994385, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.4349631071090698, "final_val_loss": 0.24361352622509003, "initial_val_acc": 0.84, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 6}, "improvement": 0.42000000000000004, "first_improvement_epoch": 2}}
|
9,423
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.52, "improved_accuracy": 0.7, "improvement": 0.17999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1200, "learning_rate": 0.08534686161258057, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "no_repeats", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["no_repeats"], "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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1.314052,
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],
[
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-0.01483,
0.81049,
0.54782
],
[
1.164373,
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-0.039458,
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-0.810482
],
[
-0.095584,
-0.530352,
-0.385574,
-0.496676,
-0.69778
],
[
0.104809,
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-0.039073,
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0.016153
]
],
"network.0.bias": [
0.360466,
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-0.023379,
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-0.117656
],
"network.2.weight": [
[
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-0.338587,
-0.210432,
1.014994
],
[
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0.186438,
0.496826,
-0.497652,
-0.244167,
0.812838
],
[
0.983351,
0.284453,
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0.970236,
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-1.080635
],
[
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0.28469,
0.464988
],
[
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0.308217,
0.043164,
0.354292,
0.142618
],
[
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0.080815
]
],
"network.2.bias": [
0.460228,
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0.600968,
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0.257651,
0.19183
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"network.4.weight": [
[
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[
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0.303838,
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[
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[
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0.279339,
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],
[
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],
[
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]
],
"network.4.bias": [
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"network.6.weight": [
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[
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],
"network.6.bias": [
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"network.8.weight": [
[
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[
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[
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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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],
[
0.46986,
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],
[
1.05165,
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],
[
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],
[
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],
[
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]
],
"network.10.bias": [
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],
"network.12.weight": [
[
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],
"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [0.442894, -0.974613, 0.905570, 0.199057, -4.451313, -1.346854]
std: [2.650376, 1.702365, 2.777220, 3.069213, 2.530186, 1.200799]
pca: [[0.505877, -0.217156, 0.346476, -0.464412, 0.362290, -0.479534, 0.000000, 0.000000, 0.000000, 0.000000], [0.216252, 0.154922, 0.798264, 0.064329, -0.321998, 0.429171, 0.000000, 0.000000, 0.000000, 0.000000], [-0.550562, -0.085497, 0.380350, 0.165670, 0.710975, 0.109422, 0.000000, 0.000000, 0.000000, 0.000000], [0.601393, -0.178042, -0.172364, 0.623673, 0.352290, 0.252670, 0.000000, 0.000000, 0.000000, 0.000000], [0.113023, 0.913411, 0.016293, 0.165369, 0.195524, -0.295067, 0.000000, 0.000000, 0.000000, 0.000000], [0.140560, 0.235615, -0.260937, -0.580018, 0.311833, 0.650368, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[40.043080, 42.994888, 48.662697, 50.347629, 55.342248], [29.210049, 29.623771, 29.642257, 30.084288, 87.715175], [39.455667, 40.212800, 46.955666, 51.811947, 81.501332], [45.381231, 45.827050, 46.197478, 46.840182, 58.882217], [41.150278, 42.782507, 43.203962, 49.219067, 400.618160], [16.786967, 17.591468, 18.794317, 20.671970, 121.216838]]
### 2
mean: [0.686019, 0.185494, 2.025309, -0.329126, 0.656886, 0.206465]
std: [2.157357, 2.400606, 4.822243, 2.090473, 0.667870, 1.842472]
pca: [[-0.324357, 0.629826, 0.298701, -0.112914, -0.326396, -0.538150, 0.000000, 0.000000, 0.000000, 0.000000], [-0.373338, 0.238292, 0.356972, 0.225721, -0.187388, 0.768337, 0.000000, 0.000000, 0.000000, 0.000000], [0.751079, 0.439894, 0.364435, 0.193411, 0.260405, 0.065896, 0.000000, 0.000000, 0.000000, 0.000000], [-0.323641, -0.249284, 0.586345, -0.132407, 0.670288, -0.149990, 0.000000, 0.000000, 0.000000, 0.000000], [-0.077461, 0.453941, -0.366686, -0.654062, 0.385199, 0.278035, 0.000000, 0.000000, 0.000000, 0.000000], [-0.283809, 0.291248, -0.415063, 0.673471, 0.439177, -0.126133, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.885612, 34.143129, 35.647227, 41.400667, 61.741704], [35.843976, 36.919326, 40.808581, 42.616796, 42.826614], [77.149449, 81.288517, 87.161764, 91.274646, 182.277841], [33.296474, 35.423085, 37.139218, 37.247883, 40.193752], [10.156262, 10.258874, 11.284248, 12.314386, 59.119696], [27.076342, 27.224341, 29.618352, 30.892752, 31.860238]]
### 4
mean: [0.042456, -0.330545, -0.273220, 1.395682, -0.690275, 1.182066]
std: [2.852474, 2.603861, 5.384856, 1.145010, 4.801630, 0.947468]
pca: [[-0.343849, -0.293179, 0.502888, 0.381601, 0.145254, 0.613352, 0.000000, 0.000000, 0.000000, 0.000000], [0.314674, -0.206153, 0.746233, -0.491625, -0.151597, -0.192201, 0.000000, 0.000000, 0.000000, 0.000000], [0.654101, 0.062125, -0.008160, 0.086744, 0.727630, 0.176793, 0.000000, 0.000000, 0.000000, 0.000000], [0.109088, 0.599089, 0.399940, 0.591865, -0.138554, -0.315815, 0.000000, 0.000000, 0.000000, 0.000000], [0.581483, -0.320605, -0.173540, 0.329067, -0.597716, 0.251842, 0.000000, 0.000000, 0.000000, 0.000000], [0.069838, 0.637176, 0.010270, -0.382848, -0.223635, 0.626450, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[42.744306, 44.308994, 49.167859, 50.557668, 51.200042], [36.405449, 38.625125, 38.712181, 44.577279, 50.492187], [76.102013, 82.572611, 86.779842, 93.533099, 101.385943], [19.360121, 21.154813, 22.497976, 23.113360, 125.611356], [69.120151, 71.640385, 73.314106, 80.706453, 93.441615], [16.626525, 16.871756, 18.502962, 20.054612, 106.385920]]
### 6
mean: [3.817719, 3.326892, 1.764718, 3.999241, 2.753764, -1.068453]
std: [6.848944, 6.845024, 4.398605, 7.559174, 5.285696, 2.837828]
pca: [[0.476348, 0.755855, 0.055831, -0.325842, -0.067546, -0.296519, 0.000000, 0.000000, 0.000000, 0.000000], [0.476948, -0.205316, -0.357525, -0.232572, -0.501159, 0.545245, 0.000000, 0.000000, 0.000000, 0.000000], [0.306380, -0.216983, 0.650322, 0.366302, -0.500424, -0.227002, 0.000000, 0.000000, 0.000000, 0.000000], [0.526788, -0.028929, 0.254510, 0.241875, 0.659397, 0.404443, 0.000000, 0.000000, 0.000000, 0.000000], [0.368248, -0.197809, -0.597537, 0.433584, 0.088803, -0.521856, 0.000000, 0.000000, 0.000000, 0.000000], [-0.196552, 0.547250, -0.155931, 0.677541, -0.226191, 0.356857, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[112.112462, 129.480880, 133.915993, 137.519199, 343.594679], [109.712763, 128.513992, 128.901668, 134.971329, 299.420277], [70.079243, 82.315504, 82.754420, 86.537943, 158.824616], [121.534300, 142.438460, 143.243819, 149.660003, 359.931732], [84.637701, 98.930444, 99.219750, 103.962319, 247.838764], [45.315251, 50.670684, 53.340481, 54.442365, 96.160729]]
### 8
mean: [12.054949, -0.566837, -1.792775, 6.605189, 7.388948, 11.645833]
std: [21.872055, 1.882322, 2.380305, 12.088751, 12.997244, 21.343155]
pca: [[0.616644, -0.052423, -0.476203, 0.445103, 0.053713, -0.435006, 0.000000, 0.000000, 0.000000, 0.000000], [-0.053003, 0.272475, 0.397341, 0.810542, 0.129111, 0.302357, 0.000000, 0.000000, 0.000000, 0.000000], [-0.066611, 0.889174, -0.277211, -0.097831, -0.341878, -0.040432, 0.000000, 0.000000, 0.000000, 0.000000], [0.340815, 0.177990, 0.727594, -0.183323, -0.078063, -0.532044, 0.000000, 0.000000, 0.000000, 0.000000], [0.366425, 0.298869, -0.021138, -0.299644, 0.773857, 0.295503, 0.000000, 0.000000, 0.000000, 0.000000], [0.601733, -0.106655, 0.093087, -0.109267, -0.508543, 0.589341, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[358.060565, 413.232231, 425.178859, 437.086896, 1084.945428], [31.135288, 35.740991, 37.380114, 38.007219, 51.015337], [39.735248, 45.164951, 48.170592, 48.574828, 161.349774], [197.345804, 228.627198, 234.629385, 240.994545, 594.467028], [212.105843, 245.685536, 251.904102, 259.193293, 665.005401], [349.304621, 403.525036, 415.259865, 426.395792, 1048.125055]]
### 10
mean: [23.815506, 15.111745, 26.071705, -12.488153, 16.608946, -7.899438]
std: [42.123981, 26.065069, 47.156857, 21.440744, 29.984720, 14.423271]
pca: [[0.533070, -0.144935, 0.618062, -0.241375, -0.331747, -0.380147, 0.000000, 0.000000, 0.000000, 0.000000], [0.329848, -0.281081, -0.040637, 0.462223, 0.673850, -0.377914, 0.000000, 0.000000, 0.000000, 0.000000], [0.596760, 0.508114, 0.077508, -0.021160, 0.253722, 0.561131, 0.000000, 0.000000, 0.000000, 0.000000], [-0.271326, 0.710060, 0.321215, 0.432469, -0.050084, -0.359834, 0.000000, 0.000000, 0.000000, 0.000000], [0.379450, -0.021574, -0.466227, 0.526623, -0.600037, -0.028436, 0.000000, 0.000000, 0.000000, 0.000000], [-0.182522, -0.370346, 0.538325, 0.513108, -0.094566, 0.517217, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[694.888917, 794.361990, 819.142217, 843.142092, 2143.395727], [429.991161, 491.483965, 506.683431, 521.656346, 1360.057038], [776.885407, 889.783388, 917.596021, 943.576416, 2346.453365], [353.898540, 404.163481, 416.492828, 428.938575, 1123.933758], [494.108358, 565.771538, 583.294919, 599.784045, 1494.805154], [237.287533, 272.248774, 280.649736, 288.575537, 710.949441]]
### 12
mean: [-32.814232]
std: [58.218987]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[962.579038, 1097.152300, 1132.533056, 1165.965454, 2953.281031]]
## 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.
|
no_repeats
|
## 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:
{
"network.0.weight": [
[
1.314052,
-0.017842,
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],
[
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0.173443,
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[
-0.926353,
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0.81049,
0.54782
],
[
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-0.039458,
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],
[
-0.095584,
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-0.69778
],
[
0.104809,
-0.076634,
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0.016153
]
],
"network.0.bias": [
0.360466,
0.039449,
-0.023379,
0.015417,
-0.634832,
-0.117656
],
"network.2.weight": [
[
-0.319898,
0.169464,
0.639134,
-0.338587,
-0.210432,
1.014994
],
[
-0.406621,
0.186438,
0.496826,
-0.497652,
-0.244167,
0.812838
],
[
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0.284453,
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0.970236,
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[
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0.464988
],
[
-0.052985,
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0.043164,
0.354292,
0.142618
],
[
-0.088403,
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-0.471562,
0.17229,
0.080815
]
],
"network.2.bias": [
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0.600968,
0.407746,
0.257651,
0.19183
],
"network.4.weight": [
[
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],
[
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[
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[
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0.150022,
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[
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0.580453,
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0.144575,
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],
[
0.1139,
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0.243125,
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0.188152
]
],
"network.4.bias": [
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0.527181,
0.285086,
0.212004
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"network.6.weight": [
[
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[
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0.401743
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[
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0.25877
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],
"network.6.bias": [
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0.332724,
0.178185,
-0.098068
],
"network.8.weight": [
[
0.443108,
0.632397,
0.757406,
0.881044,
0.960478,
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[
0.230373,
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0.599077,
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[
0.019305,
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[
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[
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[
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0.619437,
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]
],
"network.8.bias": [
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0.2174,
-0.320072
],
"network.10.weight": [
[
0.888351,
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0.147572,
0.306589,
0.25405,
0.749051
],
[
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0.006927,
0.220756,
0.285476,
0.450667
],
[
1.05165,
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0.443537,
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[
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[
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]
],
"network.10.bias": [
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],
"network.12.weight": [
[
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0.256049,
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],
"network.12.bias": [
0.216641
]
}
## Activation Signature
### 0
mean: [0.442894, -0.974613, 0.905570, 0.199057, -4.451313, -1.346854]
std: [2.650376, 1.702365, 2.777220, 3.069213, 2.530186, 1.200799]
pca: [[0.505877, -0.217156, 0.346476, -0.464412, 0.362290, -0.479534, 0.000000, 0.000000, 0.000000, 0.000000], [0.216252, 0.154922, 0.798264, 0.064329, -0.321998, 0.429171, 0.000000, 0.000000, 0.000000, 0.000000], [-0.550562, -0.085497, 0.380350, 0.165670, 0.710975, 0.109422, 0.000000, 0.000000, 0.000000, 0.000000], [0.601393, -0.178042, -0.172364, 0.623673, 0.352290, 0.252670, 0.000000, 0.000000, 0.000000, 0.000000], [0.113023, 0.913411, 0.016293, 0.165369, 0.195524, -0.295067, 0.000000, 0.000000, 0.000000, 0.000000], [0.140560, 0.235615, -0.260937, -0.580018, 0.311833, 0.650368, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[40.043080, 42.994888, 48.662697, 50.347629, 55.342248], [29.210049, 29.623771, 29.642257, 30.084288, 87.715175], [39.455667, 40.212800, 46.955666, 51.811947, 81.501332], [45.381231, 45.827050, 46.197478, 46.840182, 58.882217], [41.150278, 42.782507, 43.203962, 49.219067, 400.618160], [16.786967, 17.591468, 18.794317, 20.671970, 121.216838]]
### 2
mean: [0.686019, 0.185494, 2.025309, -0.329126, 0.656886, 0.206465]
std: [2.157357, 2.400606, 4.822243, 2.090473, 0.667870, 1.842472]
pca: [[-0.324357, 0.629826, 0.298701, -0.112914, -0.326396, -0.538150, 0.000000, 0.000000, 0.000000, 0.000000], [-0.373338, 0.238292, 0.356972, 0.225721, -0.187388, 0.768337, 0.000000, 0.000000, 0.000000, 0.000000], [0.751079, 0.439894, 0.364435, 0.193411, 0.260405, 0.065896, 0.000000, 0.000000, 0.000000, 0.000000], [-0.323641, -0.249284, 0.586345, -0.132407, 0.670288, -0.149990, 0.000000, 0.000000, 0.000000, 0.000000], [-0.077461, 0.453941, -0.366686, -0.654062, 0.385199, 0.278035, 0.000000, 0.000000, 0.000000, 0.000000], [-0.283809, 0.291248, -0.415063, 0.673471, 0.439177, -0.126133, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.885612, 34.143129, 35.647227, 41.400667, 61.741704], [35.843976, 36.919326, 40.808581, 42.616796, 42.826614], [77.149449, 81.288517, 87.161764, 91.274646, 182.277841], [33.296474, 35.423085, 37.139218, 37.247883, 40.193752], [10.156262, 10.258874, 11.284248, 12.314386, 59.119696], [27.076342, 27.224341, 29.618352, 30.892752, 31.860238]]
### 4
mean: [0.042456, -0.330545, -0.273220, 1.395682, -0.690275, 1.182066]
std: [2.852474, 2.603861, 5.384856, 1.145010, 4.801630, 0.947468]
pca: [[-0.343849, -0.293179, 0.502888, 0.381601, 0.145254, 0.613352, 0.000000, 0.000000, 0.000000, 0.000000], [0.314674, -0.206153, 0.746233, -0.491625, -0.151597, -0.192201, 0.000000, 0.000000, 0.000000, 0.000000], [0.654101, 0.062125, -0.008160, 0.086744, 0.727630, 0.176793, 0.000000, 0.000000, 0.000000, 0.000000], [0.109088, 0.599089, 0.399940, 0.591865, -0.138554, -0.315815, 0.000000, 0.000000, 0.000000, 0.000000], [0.581483, -0.320605, -0.173540, 0.329067, -0.597716, 0.251842, 0.000000, 0.000000, 0.000000, 0.000000], [0.069838, 0.637176, 0.010270, -0.382848, -0.223635, 0.626450, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[42.744306, 44.308994, 49.167859, 50.557668, 51.200042], [36.405449, 38.625125, 38.712181, 44.577279, 50.492187], [76.102013, 82.572611, 86.779842, 93.533099, 101.385943], [19.360121, 21.154813, 22.497976, 23.113360, 125.611356], [69.120151, 71.640385, 73.314106, 80.706453, 93.441615], [16.626525, 16.871756, 18.502962, 20.054612, 106.385920]]
### 6
mean: [3.817719, 3.326892, 1.764718, 3.999241, 2.753764, -1.068453]
std: [6.848944, 6.845024, 4.398605, 7.559174, 5.285696, 2.837828]
pca: [[0.476348, 0.755855, 0.055831, -0.325842, -0.067546, -0.296519, 0.000000, 0.000000, 0.000000, 0.000000], [0.476948, -0.205316, -0.357525, -0.232572, -0.501159, 0.545245, 0.000000, 0.000000, 0.000000, 0.000000], [0.306380, -0.216983, 0.650322, 0.366302, -0.500424, -0.227002, 0.000000, 0.000000, 0.000000, 0.000000], [0.526788, -0.028929, 0.254510, 0.241875, 0.659397, 0.404443, 0.000000, 0.000000, 0.000000, 0.000000], [0.368248, -0.197809, -0.597537, 0.433584, 0.088803, -0.521856, 0.000000, 0.000000, 0.000000, 0.000000], [-0.196552, 0.547250, -0.155931, 0.677541, -0.226191, 0.356857, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[112.112462, 129.480880, 133.915993, 137.519199, 343.594679], [109.712763, 128.513992, 128.901668, 134.971329, 299.420277], [70.079243, 82.315504, 82.754420, 86.537943, 158.824616], [121.534300, 142.438460, 143.243819, 149.660003, 359.931732], [84.637701, 98.930444, 99.219750, 103.962319, 247.838764], [45.315251, 50.670684, 53.340481, 54.442365, 96.160729]]
### 8
mean: [12.054949, -0.566837, -1.792775, 6.605189, 7.388948, 11.645833]
std: [21.872055, 1.882322, 2.380305, 12.088751, 12.997244, 21.343155]
pca: [[0.616644, -0.052423, -0.476203, 0.445103, 0.053713, -0.435006, 0.000000, 0.000000, 0.000000, 0.000000], [-0.053003, 0.272475, 0.397341, 0.810542, 0.129111, 0.302357, 0.000000, 0.000000, 0.000000, 0.000000], [-0.066611, 0.889174, -0.277211, -0.097831, -0.341878, -0.040432, 0.000000, 0.000000, 0.000000, 0.000000], [0.340815, 0.177990, 0.727594, -0.183323, -0.078063, -0.532044, 0.000000, 0.000000, 0.000000, 0.000000], [0.366425, 0.298869, -0.021138, -0.299644, 0.773857, 0.295503, 0.000000, 0.000000, 0.000000, 0.000000], [0.601733, -0.106655, 0.093087, -0.109267, -0.508543, 0.589341, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[358.060565, 413.232231, 425.178859, 437.086896, 1084.945428], [31.135288, 35.740991, 37.380114, 38.007219, 51.015337], [39.735248, 45.164951, 48.170592, 48.574828, 161.349774], [197.345804, 228.627198, 234.629385, 240.994545, 594.467028], [212.105843, 245.685536, 251.904102, 259.193293, 665.005401], [349.304621, 403.525036, 415.259865, 426.395792, 1048.125055]]
### 10
mean: [23.815506, 15.111745, 26.071705, -12.488153, 16.608946, -7.899438]
std: [42.123981, 26.065069, 47.156857, 21.440744, 29.984720, 14.423271]
pca: [[0.533070, -0.144935, 0.618062, -0.241375, -0.331747, -0.380147, 0.000000, 0.000000, 0.000000, 0.000000], [0.329848, -0.281081, -0.040637, 0.462223, 0.673850, -0.377914, 0.000000, 0.000000, 0.000000, 0.000000], [0.596760, 0.508114, 0.077508, -0.021160, 0.253722, 0.561131, 0.000000, 0.000000, 0.000000, 0.000000], [-0.271326, 0.710060, 0.321215, 0.432469, -0.050084, -0.359834, 0.000000, 0.000000, 0.000000, 0.000000], [0.379450, -0.021574, -0.466227, 0.526623, -0.600037, -0.028436, 0.000000, 0.000000, 0.000000, 0.000000], [-0.182522, -0.370346, 0.538325, 0.513108, -0.094566, 0.517217, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[694.888917, 794.361990, 819.142217, 843.142092, 2143.395727], [429.991161, 491.483965, 506.683431, 521.656346, 1360.057038], [776.885407, 889.783388, 917.596021, 943.576416, 2346.453365], [353.898540, 404.163481, 416.492828, 428.938575, 1123.933758], [494.108358, 565.771538, 583.294919, 599.784045, 1494.805154], [237.287533, 272.248774, 280.649736, 288.575537, 710.949441]]
### 12
mean: [-32.814232]
std: [58.218987]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[962.579038, 1097.152300, 1132.533056, 1165.965454, 2953.281031]]
## 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.
no_repeats
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6931009888648987, "train_acc": 0.47, "val_loss": 0.6906844973564148, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6649562120437622, "train_acc": 0.56, "val_loss": 0.6074199080467224, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6682372093200684, "train_acc": 0.495, "val_loss": 0.6681605577468872, "val_acc": 0.58}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6644017398357391, "train_acc": 0.59, "val_loss": 0.638292133808136, "val_acc": 0.58}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.6419180929660797, "train_acc": 0.585, "val_loss": 0.6072887778282166, "val_acc": 0.6}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.5956454277038574, "train_acc": 0.625, "val_loss": 0.5580859184265137, "val_acc": 0.66}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.6017512381076813, "train_acc": 0.635, "val_loss": 0.531533420085907, "val_acc": 0.7}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.5655220746994019, "train_acc": 0.655, "val_loss": 0.5197819471359253, "val_acc": 0.7}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.59337317943573, "train_acc": 0.66, "val_loss": 0.546760618686676, "val_acc": 0.68}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.5854469239711761, "train_acc": 0.65, "val_loss": 0.5625965595245361, "val_acc": 0.66}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.5945367813110352, "train_acc": 0.645, "val_loss": 0.5794577598571777, "val_acc": 0.64}], "summary": {"total_epochs": 11, "degraded_epochs": 2, "improved_epochs": 9, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.6906844973564148, "final_val_loss": 0.6074199080467224, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.6681605577468872, "final_val_loss": 0.5794577598571777, "initial_val_acc": 0.58, "final_val_acc": 0.64, "best_val_acc": 0.7, "best_epoch": 6}, "improvement": 0.17999999999999994, "first_improvement_epoch": 1}}
|
9,424
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.52, "improved_accuracy": 0.88, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8309, "learning_rate": 0.026055722201446793, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "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: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.6.weight": [
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"network.10.weight": [
[
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]
],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [-1.511874, 1.423724, -0.523176, -2.131938, 0.188761, 0.569516, -0.296339, 0.530909]
std: [1.306884, 1.268497, 1.022822, 1.349654, 1.498476, 1.096085, 1.381476, 1.288141]
pca: [[0.464819, 0.199733, -0.373358, -0.073708, 0.535916, 0.297196, -0.014373, -0.472740, 0.000000, 0.000000], [-0.510135, 0.168266, 0.086082, -0.088149, 0.592442, 0.384870, 0.128850, 0.424916, 0.000000, 0.000000], [0.351367, 0.237432, 0.301356, 0.059142, 0.023318, -0.134106, 0.833076, 0.115367, 0.000000, 0.000000], [0.584054, -0.129128, -0.141130, -0.000515, -0.061238, 0.237103, -0.217927, 0.717516, 0.000000, 0.000000], [0.146460, -0.534311, 0.624317, -0.320622, 0.053352, 0.384656, -0.021416, -0.221868, 0.000000, 0.000000], [-0.027723, 0.468572, 0.192130, 0.362072, -0.432609, 0.633281, -0.085393, -0.127182, 0.000000, 0.000000], [0.177680, 0.535479, 0.511662, -0.201006, 0.194617, -0.350018, -0.466111, 0.042937, 0.000000, 0.000000], [0.073067, -0.258768, 0.232328, 0.842022, 0.360055, -0.133529, -0.129121, -0.024106, 0.000000, 0.000000]]
fourier: [[19.299409, 20.945942, 21.759332, 24.137426, 136.068624], [19.065618, 24.518455, 26.696796, 27.090818, 128.135185], [14.886946, 16.667706, 16.796241, 18.668808, 47.085810], [20.144519, 23.831245, 26.726155, 28.405182, 191.874414], [20.712918, 24.841308, 25.673680, 29.471057, 29.655757], [17.240737, 18.189897, 18.641187, 23.515352, 51.256482], [21.477694, 22.138238, 22.548916, 26.670506, 27.036022], [19.574574, 19.602464, 19.697430, 21.702090, 47.781791]]
### 2
mean: [-0.782719, 0.667842, -0.849499, 0.525984, -0.560199, 0.979484, 0.513080, 0.857804]
std: [0.474584, 0.865867, 0.354869, 0.434397, 0.462419, 0.959595, 0.620628, 0.355430]
pca: [[0.004971, 0.554186, 0.550900, 0.107543, 0.348825, 0.260424, -0.428530, 0.068259, 0.000000, 0.000000], [0.580779, -0.108575, 0.083857, 0.721474, 0.127386, 0.095421, 0.310569, -0.039555, 0.000000, 0.000000], [-0.184759, 0.151493, -0.400325, 0.030249, 0.274418, 0.428784, 0.277033, 0.667706, 0.000000, 0.000000], [-0.110932, -0.470763, 0.460268, -0.256329, 0.033686, 0.612914, 0.290981, -0.164490, 0.000000, 0.000000], [0.036170, 0.656266, 0.024906, -0.171371, -0.275034, 0.066945, 0.607440, -0.298177, 0.000000, 0.000000], [0.649956, 0.045919, -0.166224, -0.321183, -0.424376, 0.364379, -0.325896, 0.159953, 0.000000, 0.000000], [0.407807, -0.020067, -0.126874, -0.481871, 0.710835, -0.192117, 0.131127, -0.160017, 0.000000, 0.000000], [0.161777, -0.057665, 0.522516, -0.191217, -0.156939, -0.435192, 0.257110, 0.617081, 0.000000, 0.000000]]
fourier: [[6.719668, 7.422013, 9.199748, 10.036076, 70.444706], [13.559167, 13.677366, 18.086613, 18.979503, 60.105753], [5.659927, 6.661660, 6.868755, 7.221157, 76.454916], [7.099867, 7.227719, 7.267641, 8.895460, 47.338525], [7.105695, 7.230134, 7.413079, 8.118462, 50.417887], [14.990817, 16.333337, 19.502978, 20.892291, 88.153567], [9.687825, 10.502998, 12.372901, 13.606605, 46.177229], [5.931154, 6.898263, 6.952564, 7.148309, 77.202361]]
### 4
mean: [-0.635005, -0.559826, -0.381246, -0.421645, -0.506833, 0.300889, -0.741028, 1.334478]
std: [0.232504, 0.183516, 0.143441, 0.094233, 0.317122, 0.664870, 0.540210, 1.098487]
pca: [[-0.151442, -0.223966, -0.224992, -0.258295, -0.391242, -0.196174, 0.426170, 0.660599, 0.000000, 0.000000], [-0.068740, -0.380190, 0.654655, -0.256045, 0.103963, 0.201367, 0.504263, -0.225744, 0.000000, 0.000000], [-0.095725, -0.017562, -0.315779, -0.117461, -0.591737, 0.625575, 0.032037, -0.366730, 0.000000, 0.000000], [-0.044090, -0.106487, -0.428046, -0.172657, 0.680966, 0.499683, 0.133934, 0.205781, 0.000000, 0.000000], [0.194437, -0.406776, -0.451844, 0.308998, 0.070919, -0.367679, 0.394825, -0.448308, 0.000000, 0.000000], [-0.438755, 0.646657, -0.005029, 0.297006, 0.066389, -0.005802, 0.539162, -0.077161, 0.000000, 0.000000], [-0.363437, -0.418660, 0.134711, 0.726991, -0.045922, 0.246151, -0.149186, 0.247021, 0.000000, 0.000000], [0.773844, 0.186384, 0.124618, 0.334529, -0.103476, 0.290048, 0.276214, 0.260495, 0.000000, 0.000000]]
fourier: [[3.671765, 4.180726, 4.955574, 4.974426, 57.150443], [3.030912, 3.032697, 3.085492, 3.297801, 50.384357], [2.208412, 2.448281, 2.904394, 3.130602, 34.312099], [1.578389, 1.585325, 2.087244, 2.141002, 37.948009], [4.879704, 5.732882, 6.268979, 6.506492, 45.614970], [10.703416, 11.804772, 12.680352, 13.184910, 27.079994], [8.652397, 9.546676, 10.900723, 11.620470, 66.692566], [16.465659, 17.746244, 23.692311, 24.103355, 120.102992]]
### 6
mean: [0.151689, 0.228446, -0.630985, 0.293972, -0.619085, -0.373301, 0.783713, 0.364255]
std: [0.193309, 0.201948, 0.212449, 0.327959, 0.226343, 0.227972, 0.616665, 0.328515]
pca: [[0.189609, 0.471673, 0.187642, 0.116821, 0.166947, 0.788510, 0.060796, 0.198494, 0.000000, 0.000000], [0.228202, 0.007470, 0.660478, 0.344668, -0.133745, -0.267169, 0.548019, -0.056999, 0.000000, 0.000000], [-0.227825, 0.333033, 0.128463, -0.366738, 0.706873, -0.333706, 0.195928, 0.191750, 0.000000, 0.000000], [-0.360452, -0.384020, -0.329471, 0.014627, 0.031337, 0.292165, 0.709462, 0.155430, 0.000000, 0.000000], [-0.211432, 0.624053, -0.405261, 0.412099, -0.300503, -0.286296, 0.118070, 0.213503, 0.000000, 0.000000], [-0.257887, -0.047479, -0.053943, 0.604394, 0.477901, 0.063294, -0.118120, -0.562753, 0.000000, 0.000000], [0.696595, -0.202909, -0.379183, 0.275115, 0.362501, -0.155010, 0.041940, 0.311322, 0.000000, 0.000000], [-0.365634, -0.293627, 0.304270, 0.349342, 0.059085, -0.012347, -0.352991, 0.661233, 0.000000, 0.000000]]
fourier: [[2.977247, 3.511261, 3.873571, 3.974901, 13.652018], [3.392390, 3.406044, 4.078793, 4.441744, 20.560143], [3.161070, 3.620915, 4.382720, 4.605174, 56.788666], [5.820577, 6.006776, 6.134720, 7.306247, 26.457491], [3.534656, 3.833702, 3.857028, 4.647006, 55.717646], [3.799860, 3.801234, 4.663912, 5.141756, 33.597109], [9.649614, 9.750355, 13.059555, 13.802778, 70.534142], [5.667017, 5.790602, 6.422716, 7.459161, 32.782934]]
### 8
mean: [-0.303542, 0.094509, 0.317577, 0.441974, 0.451617, -0.131176, 0.721779, 0.362857]
std: [0.111299, 0.195333, 0.237696, 0.293303, 0.229288, 0.041094, 0.660852, 0.406166]
pca: [[0.121201, -0.062317, -0.238315, 0.612184, 0.081333, -0.231796, 0.397316, 0.575899, 0.000000, 0.000000], [-0.205211, 0.525317, -0.474147, 0.059698, 0.511941, -0.148558, -0.411505, -0.007831, 0.000000, 0.000000], [-0.251218, 0.593536, 0.016032, -0.192714, -0.194285, -0.186457, 0.665542, -0.178185, 0.000000, 0.000000], [0.320227, 0.006232, -0.221974, -0.561948, -0.296499, -0.513970, -0.168229, 0.389846, 0.000000, 0.000000], [0.248469, 0.267386, 0.621837, -0.216923, 0.513780, 0.107157, 0.062497, 0.392010, 0.000000, 0.000000], [-0.021250, -0.352766, -0.464283, -0.450795, 0.408444, 0.340131, 0.414277, 0.046776, 0.000000, 0.000000], [0.721621, 0.007844, -0.065955, 0.124413, 0.240219, -0.266534, 0.149831, -0.555138, 0.000000, 0.000000], [0.441154, 0.414529, -0.249540, 0.054701, -0.342259, 0.653496, -0.059796, 0.143220, 0.000000, 0.000000]]
fourier: [[1.783840, 1.832726, 2.325413, 2.663341, 27.318772], [3.298662, 3.332632, 3.665785, 4.551606, 8.505848], [3.999059, 4.042169, 4.549108, 5.633546, 28.581890], [4.815611, 4.917887, 6.031364, 6.817649, 39.777689], [3.656297, 3.702109, 4.785323, 5.166307, 40.645496], [0.632412, 0.717640, 0.719304, 0.758790, 11.805884], [10.740154, 10.990173, 13.682611, 15.436343, 64.960093], [6.470524, 6.578547, 8.536934, 9.260369, 32.657119]]
### 10
mean: [-0.491120]
std: [0.731570]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.500972, 11.988292, 15.235712, 17.377115, 44.200811]]
## 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.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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[
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[
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"network.0.bias": [
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]
],
"network.2.bias": [
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[
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"network.4.bias": [
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"network.6.weight": [
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],
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]
],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [-1.511874, 1.423724, -0.523176, -2.131938, 0.188761, 0.569516, -0.296339, 0.530909]
std: [1.306884, 1.268497, 1.022822, 1.349654, 1.498476, 1.096085, 1.381476, 1.288141]
pca: [[0.464819, 0.199733, -0.373358, -0.073708, 0.535916, 0.297196, -0.014373, -0.472740, 0.000000, 0.000000], [-0.510135, 0.168266, 0.086082, -0.088149, 0.592442, 0.384870, 0.128850, 0.424916, 0.000000, 0.000000], [0.351367, 0.237432, 0.301356, 0.059142, 0.023318, -0.134106, 0.833076, 0.115367, 0.000000, 0.000000], [0.584054, -0.129128, -0.141130, -0.000515, -0.061238, 0.237103, -0.217927, 0.717516, 0.000000, 0.000000], [0.146460, -0.534311, 0.624317, -0.320622, 0.053352, 0.384656, -0.021416, -0.221868, 0.000000, 0.000000], [-0.027723, 0.468572, 0.192130, 0.362072, -0.432609, 0.633281, -0.085393, -0.127182, 0.000000, 0.000000], [0.177680, 0.535479, 0.511662, -0.201006, 0.194617, -0.350018, -0.466111, 0.042937, 0.000000, 0.000000], [0.073067, -0.258768, 0.232328, 0.842022, 0.360055, -0.133529, -0.129121, -0.024106, 0.000000, 0.000000]]
fourier: [[19.299409, 20.945942, 21.759332, 24.137426, 136.068624], [19.065618, 24.518455, 26.696796, 27.090818, 128.135185], [14.886946, 16.667706, 16.796241, 18.668808, 47.085810], [20.144519, 23.831245, 26.726155, 28.405182, 191.874414], [20.712918, 24.841308, 25.673680, 29.471057, 29.655757], [17.240737, 18.189897, 18.641187, 23.515352, 51.256482], [21.477694, 22.138238, 22.548916, 26.670506, 27.036022], [19.574574, 19.602464, 19.697430, 21.702090, 47.781791]]
### 2
mean: [-0.782719, 0.667842, -0.849499, 0.525984, -0.560199, 0.979484, 0.513080, 0.857804]
std: [0.474584, 0.865867, 0.354869, 0.434397, 0.462419, 0.959595, 0.620628, 0.355430]
pca: [[0.004971, 0.554186, 0.550900, 0.107543, 0.348825, 0.260424, -0.428530, 0.068259, 0.000000, 0.000000], [0.580779, -0.108575, 0.083857, 0.721474, 0.127386, 0.095421, 0.310569, -0.039555, 0.000000, 0.000000], [-0.184759, 0.151493, -0.400325, 0.030249, 0.274418, 0.428784, 0.277033, 0.667706, 0.000000, 0.000000], [-0.110932, -0.470763, 0.460268, -0.256329, 0.033686, 0.612914, 0.290981, -0.164490, 0.000000, 0.000000], [0.036170, 0.656266, 0.024906, -0.171371, -0.275034, 0.066945, 0.607440, -0.298177, 0.000000, 0.000000], [0.649956, 0.045919, -0.166224, -0.321183, -0.424376, 0.364379, -0.325896, 0.159953, 0.000000, 0.000000], [0.407807, -0.020067, -0.126874, -0.481871, 0.710835, -0.192117, 0.131127, -0.160017, 0.000000, 0.000000], [0.161777, -0.057665, 0.522516, -0.191217, -0.156939, -0.435192, 0.257110, 0.617081, 0.000000, 0.000000]]
fourier: [[6.719668, 7.422013, 9.199748, 10.036076, 70.444706], [13.559167, 13.677366, 18.086613, 18.979503, 60.105753], [5.659927, 6.661660, 6.868755, 7.221157, 76.454916], [7.099867, 7.227719, 7.267641, 8.895460, 47.338525], [7.105695, 7.230134, 7.413079, 8.118462, 50.417887], [14.990817, 16.333337, 19.502978, 20.892291, 88.153567], [9.687825, 10.502998, 12.372901, 13.606605, 46.177229], [5.931154, 6.898263, 6.952564, 7.148309, 77.202361]]
### 4
mean: [-0.635005, -0.559826, -0.381246, -0.421645, -0.506833, 0.300889, -0.741028, 1.334478]
std: [0.232504, 0.183516, 0.143441, 0.094233, 0.317122, 0.664870, 0.540210, 1.098487]
pca: [[-0.151442, -0.223966, -0.224992, -0.258295, -0.391242, -0.196174, 0.426170, 0.660599, 0.000000, 0.000000], [-0.068740, -0.380190, 0.654655, -0.256045, 0.103963, 0.201367, 0.504263, -0.225744, 0.000000, 0.000000], [-0.095725, -0.017562, -0.315779, -0.117461, -0.591737, 0.625575, 0.032037, -0.366730, 0.000000, 0.000000], [-0.044090, -0.106487, -0.428046, -0.172657, 0.680966, 0.499683, 0.133934, 0.205781, 0.000000, 0.000000], [0.194437, -0.406776, -0.451844, 0.308998, 0.070919, -0.367679, 0.394825, -0.448308, 0.000000, 0.000000], [-0.438755, 0.646657, -0.005029, 0.297006, 0.066389, -0.005802, 0.539162, -0.077161, 0.000000, 0.000000], [-0.363437, -0.418660, 0.134711, 0.726991, -0.045922, 0.246151, -0.149186, 0.247021, 0.000000, 0.000000], [0.773844, 0.186384, 0.124618, 0.334529, -0.103476, 0.290048, 0.276214, 0.260495, 0.000000, 0.000000]]
fourier: [[3.671765, 4.180726, 4.955574, 4.974426, 57.150443], [3.030912, 3.032697, 3.085492, 3.297801, 50.384357], [2.208412, 2.448281, 2.904394, 3.130602, 34.312099], [1.578389, 1.585325, 2.087244, 2.141002, 37.948009], [4.879704, 5.732882, 6.268979, 6.506492, 45.614970], [10.703416, 11.804772, 12.680352, 13.184910, 27.079994], [8.652397, 9.546676, 10.900723, 11.620470, 66.692566], [16.465659, 17.746244, 23.692311, 24.103355, 120.102992]]
### 6
mean: [0.151689, 0.228446, -0.630985, 0.293972, -0.619085, -0.373301, 0.783713, 0.364255]
std: [0.193309, 0.201948, 0.212449, 0.327959, 0.226343, 0.227972, 0.616665, 0.328515]
pca: [[0.189609, 0.471673, 0.187642, 0.116821, 0.166947, 0.788510, 0.060796, 0.198494, 0.000000, 0.000000], [0.228202, 0.007470, 0.660478, 0.344668, -0.133745, -0.267169, 0.548019, -0.056999, 0.000000, 0.000000], [-0.227825, 0.333033, 0.128463, -0.366738, 0.706873, -0.333706, 0.195928, 0.191750, 0.000000, 0.000000], [-0.360452, -0.384020, -0.329471, 0.014627, 0.031337, 0.292165, 0.709462, 0.155430, 0.000000, 0.000000], [-0.211432, 0.624053, -0.405261, 0.412099, -0.300503, -0.286296, 0.118070, 0.213503, 0.000000, 0.000000], [-0.257887, -0.047479, -0.053943, 0.604394, 0.477901, 0.063294, -0.118120, -0.562753, 0.000000, 0.000000], [0.696595, -0.202909, -0.379183, 0.275115, 0.362501, -0.155010, 0.041940, 0.311322, 0.000000, 0.000000], [-0.365634, -0.293627, 0.304270, 0.349342, 0.059085, -0.012347, -0.352991, 0.661233, 0.000000, 0.000000]]
fourier: [[2.977247, 3.511261, 3.873571, 3.974901, 13.652018], [3.392390, 3.406044, 4.078793, 4.441744, 20.560143], [3.161070, 3.620915, 4.382720, 4.605174, 56.788666], [5.820577, 6.006776, 6.134720, 7.306247, 26.457491], [3.534656, 3.833702, 3.857028, 4.647006, 55.717646], [3.799860, 3.801234, 4.663912, 5.141756, 33.597109], [9.649614, 9.750355, 13.059555, 13.802778, 70.534142], [5.667017, 5.790602, 6.422716, 7.459161, 32.782934]]
### 8
mean: [-0.303542, 0.094509, 0.317577, 0.441974, 0.451617, -0.131176, 0.721779, 0.362857]
std: [0.111299, 0.195333, 0.237696, 0.293303, 0.229288, 0.041094, 0.660852, 0.406166]
pca: [[0.121201, -0.062317, -0.238315, 0.612184, 0.081333, -0.231796, 0.397316, 0.575899, 0.000000, 0.000000], [-0.205211, 0.525317, -0.474147, 0.059698, 0.511941, -0.148558, -0.411505, -0.007831, 0.000000, 0.000000], [-0.251218, 0.593536, 0.016032, -0.192714, -0.194285, -0.186457, 0.665542, -0.178185, 0.000000, 0.000000], [0.320227, 0.006232, -0.221974, -0.561948, -0.296499, -0.513970, -0.168229, 0.389846, 0.000000, 0.000000], [0.248469, 0.267386, 0.621837, -0.216923, 0.513780, 0.107157, 0.062497, 0.392010, 0.000000, 0.000000], [-0.021250, -0.352766, -0.464283, -0.450795, 0.408444, 0.340131, 0.414277, 0.046776, 0.000000, 0.000000], [0.721621, 0.007844, -0.065955, 0.124413, 0.240219, -0.266534, 0.149831, -0.555138, 0.000000, 0.000000], [0.441154, 0.414529, -0.249540, 0.054701, -0.342259, 0.653496, -0.059796, 0.143220, 0.000000, 0.000000]]
fourier: [[1.783840, 1.832726, 2.325413, 2.663341, 27.318772], [3.298662, 3.332632, 3.665785, 4.551606, 8.505848], [3.999059, 4.042169, 4.549108, 5.633546, 28.581890], [4.815611, 4.917887, 6.031364, 6.817649, 39.777689], [3.656297, 3.702109, 4.785323, 5.166307, 40.645496], [0.632412, 0.717640, 0.719304, 0.758790, 11.805884], [10.740154, 10.990173, 13.682611, 15.436343, 64.960093], [6.470524, 6.578547, 8.536934, 9.260369, 32.657119]]
### 10
mean: [-0.491120]
std: [0.731570]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.500972, 11.988292, 15.235712, 17.377115, 44.200811]]
## 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.
palindrome
|
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"fourier": [6.47052388576802, 6.578546741714504, 8.536934100154713, 9.26036887995548, 32.6571192368865]}}, "layer_info": {"num_neurons": 8, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "10": {"neuron_profiles": {"0": {"mean": -0.4911201000213623, "std": 0.7315701842308044, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [11.50097228283181, 11.98829229408241, 15.235712341257592, 17.377115425003907, 44.200811214745045]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.005122, -0.10307, -0.400734, -0.428205, -0.0521], [0.233054, 0.04441, 0.060745, 0.150412, 0.513852], [0.083867, 0.308031, -0.147904, -0.345217, -0.268539], [-0.263127, 0.03429, -0.24791, -0.281303, -0.375162], [-0.406385, 0.607621, -0.149126, 0.217537, -0.205649], [0.353075, 0.01354, 0.242045, -0.229258, -0.145703], [0.444602, 0.415601, -0.278995, -0.309818, -0.137141], [-0.552718, 0.3753, 0.441179, -0.320829, 0.044708]], "network.0.bias": [0.501924, -0.030414, 0.191607, -0.283179, -0.31409, 0.27119, -0.19062, 0.246144], "network.2.weight": [[-0.238051, -0.147595, -0.183986, 0.183473, -0.452082, 0.06562, 0.06053, 0.069856], [-0.200484, 0.423732, 0.349562, -0.022382, -0.064866, 0.111872, 0.475742, -0.05658], [-0.108297, -0.15795, 0.014638, 0.299915, -0.039429, -0.31716, 0.065487, -0.067144], [-0.19773, -0.055519, -0.421431, 0.17772, 0.254552, 0.301006, -0.169011, 0.246834], [-0.103017, -0.074669, -0.111577, -0.416468, -0.407181, -0.108828, 0.070842, -0.169929], [-0.491568, 0.5563, 0.244204, -0.222093, -0.151274, -0.046124, 0.433574, -0.200852], [-0.093971, 0.438824, 0.240471, 0.080506, -0.174471, -0.307505, 0.459684, 0.075835], [0.131259, 0.133111, -0.140317, -0.200823, -0.046416, 0.302953, -0.051043, 0.116717]], "network.2.bias": [-0.376837, -0.178835, -0.329733, 0.186237, 0.009576, 0.286077, -0.058991, 0.412371], "network.4.weight": [[0.043578, -0.09022, -0.351209, -0.098125, 0.225767, -0.024525, -0.184269, -0.141316], [0.278446, -0.390847, 0.24376, -0.068508, -0.139559, 0.182754, 0.163809, -0.255664], [-0.21632, 0.021518, 0.322845, -0.039777, 0.136432, -0.024158, -0.248605, 0.018826], [-0.21199, 0.15842, -0.278549, -0.034185, 0.104725, -0.191838, 0.040008, -0.191317], [-0.066908, 0.168937, -0.294927, -0.409036, 0.164252, -0.034276, 0.206517, -0.10801], [-0.055512, -0.084815, -0.190106, 0.440857, -0.018703, -0.43432, -0.264655, 0.411531], [0.016419, -0.427747, -0.221136, -0.292062, -0.331068, -0.367079, 0.193902, 0.08334], [-0.062359, 0.466472, -0.221683, -0.135941, 0.011373, 0.498545, 0.320808, 0.171461]], "network.4.bias": [-0.275143, -0.302387, -0.232838, -0.181111, -0.391426, 0.34465, -0.102459, 0.269931], "network.6.weight": [[0.243091, 0.365426, 0.101676, 0.305246, 0.112955, -0.433187, -0.150835, 0.006596], [-0.33603, -0.25662, -0.291502, 0.218191, 0.43178, -0.13767, -0.315892, 0.131532], [0.201774, -0.084373, 0.320317, 0.020664, -0.058888, -0.116542, -0.191126, -0.223877], [-0.302913, 0.160483, 0.22056, -0.189055, -0.262485, 0.463993, -0.026539, -0.132686], [-0.244644, 0.014066, 0.106924, 0.216217, -0.367829, -0.318362, -0.161191, -0.272621], [-0.31457, -0.251568, 0.046825, -0.221245, -0.119781, 0.169227, 0.322379, -0.151013], [-0.058764, -0.225659, -0.211069, -0.154892, 0.088549, -0.214874, 0.405219, 0.493923], [-0.209877, -0.336461, -0.240411, -0.177211, 0.057277, 0.390883, 0.370191, -0.167578]], "network.6.bias": [0.342174, 0.112695, -0.277808, 0.25885, -0.104762, -0.24895, 0.223144, 0.406627], "network.8.weight": [[0.090886, -0.116396, 0.343311, 0.111244, 0.304037, -0.333542, 0.100616, -0.317306], [-0.364471, 0.098992, -0.305156, 0.456524, 0.21915, -0.005264, -0.037587, 0.056116], [-0.250944, 0.023093, -0.098294, 0.201531, -0.246769, -0.07984, 0.000917, 0.527783], [0.066144, 0.212797, -0.006008, -0.285385, -0.100202, -0.350568, 0.248164, -0.062054], [0.277746, 0.394145, -0.061726, -0.143055, 0.338611, 0.282591, 0.220571, 0.207769], [-0.199182, 0.099064, -0.22335, 0.01568, 0.212617, -0.195042, -0.193339, -0.390429], [0.450323, 0.351552, 0.097357, -0.288897, -0.005829, 0.32249, 0.551058, -0.429563], [0.171176, 0.184787, 0.027658, -0.125072, -0.129704, -0.310013, 0.510945, -0.005526]], "network.8.bias": [-0.285042, -0.005751, 0.084578, 0.304837, 0.103146, 0.180719, 0.38965, -0.068002], "network.10.weight": [[-0.031775, 0.239015, 0.431276, -0.385761, -0.153633, -0.07874, -0.49163, -0.366849]], "network.10.bias": [0.079742]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6921952068805695, "train_acc": 0.485, "val_loss": 0.6995073556900024, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6754276156425476, "train_acc": 0.575, "val_loss": 0.6988272070884705, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6694639623165131, "train_acc": 0.575, "val_loss": 0.6716796159744263, "val_acc": 0.46}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6262359917163849, "train_acc": 0.575, "val_loss": 0.5968589782714844, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5413572788238525, "train_acc": 0.68, "val_loss": 0.46278616786003113, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.4121180772781372, "train_acc": 0.885, "val_loss": 0.3702944219112396, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.3090951144695282, "train_acc": 0.895, "val_loss": 0.3405997157096863, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.27747780829668045, "train_acc": 0.895, "val_loss": 0.36230868101119995, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.2313765212893486, "train_acc": 0.89, "val_loss": 0.3732777535915375, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.25071675330400467, "train_acc": 0.915, "val_loss": 0.3480145335197449, "val_acc": 0.88}], "summary": {"total_epochs": 10, "degraded_epochs": 4, "improved_epochs": 6, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6995073556900024, "final_val_loss": 0.5968589782714844, "initial_val_acc": 0.46, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.46278616786003113, "final_val_loss": 0.3480145335197449, "initial_val_acc": 0.88, "final_val_acc": 0.88, "best_val_acc": 0.88, "best_epoch": 4}, "improvement": 0.36, "first_improvement_epoch": 3}}
|
9,425
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.5, "improved_accuracy": 0.76, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1082, "learning_rate": 0.04628623404039261, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "starts_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["starts_with"], "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: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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-0.344419,
-0.41621,
-0.298024,
0.057691
]
],
"network.8.bias": [
-0.295583,
0.619722,
0.57585,
0.13671,
0.3663
],
"network.10.weight": [
[
-0.620483,
0.47247,
0.394111,
-0.510976,
0.410567
]
],
"network.10.bias": [
-0.032214
]
}
## Activation Signature
### 0
mean: [-2.039677, -2.721012, 2.131577, 0.747862, 1.779810]
std: [1.231748, 1.878686, 2.259118, 1.664073, 1.342080]
pca: [[-0.102049, -0.506167, -0.439886, 0.008639, 0.734715, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.540255, -0.420949, 0.263433, 0.644474, -0.214900, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.732382, -0.312844, -0.299483, 0.432591, -0.298194, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.221058, 0.630554, -0.567211, 0.477898, 0.058485, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.335350, 0.266697, 0.570688, 0.411165, 0.567161, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.515570, 18.905084, 19.281935, 21.250058, 183.570889], [28.001237, 29.447612, 31.555575, 37.911889, 244.891050], [37.033774, 42.166481, 42.593252, 43.040677, 191.841911], [25.137572, 25.198965, 26.082041, 28.029350, 67.307609], [21.399562, 21.764169, 21.859011, 27.110963, 160.182935]]
### 2
mean: [-1.159659, 1.154329, 0.667386, 0.883599, -1.930270]
std: [0.503721, 1.957881, 1.485772, 1.430757, 1.005270]
pca: [[-0.113646, -0.091468, 0.451590, 0.754049, -0.454087, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.697934, -0.442152, -0.054451, -0.225105, -0.513568, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.544026, -0.142472, -0.082770, 0.505281, 0.649290, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.412534, 0.641774, 0.611812, -0.206153, 0.033592, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.183912, -0.603293, 0.641823, -0.287975, 0.327639, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.459643, 8.736662, 8.819982, 10.191105, 104.369326], [33.083013, 34.269215, 38.404136, 40.860856, 103.889582], [24.590265, 26.433874, 26.604205, 31.254996, 60.064700], [20.706329, 21.149733, 22.289141, 25.457231, 79.523875], [16.262510, 16.490095, 17.557381, 20.405085, 173.724304]]
### 4
mean: [0.924511, -1.865454, 2.430131, 1.806493, -0.831222]
std: [1.324424, 3.053898, 2.910862, 2.725546, 1.690260]
pca: [[-0.234488, 0.774365, -0.451368, 0.360689, 0.107442, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.559775, 0.450840, 0.387377, -0.271077, 0.509756, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.533795, 0.378044, 0.577869, -0.327783, -0.361623, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.500367, -0.225138, 0.314842, 0.345588, 0.693101, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.310423, 0.059135, 0.461680, 0.754684, -0.342701, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.353640, 21.700049, 21.715539, 24.713837, 83.205970], [53.240730, 53.318134, 53.626910, 60.436828, 167.890856], [48.680436, 50.813366, 52.063891, 52.422976, 218.711799], [46.793294, 47.871827, 48.011238, 52.849602, 162.584393], [28.971606, 29.211609, 30.011016, 31.991750, 74.809987]]
### 6
mean: [-2.020041, 2.971121, 2.416980, 2.008223, -0.296555]
std: [3.626749, 4.000006, 3.431918, 2.846157, 0.135665]
pca: [[-0.517814, 0.584022, -0.233971, 0.573988, 0.081133, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.571345, 0.355616, 0.218069, 0.330775, -0.624608, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.490261, -0.192106, 0.023692, 0.556638, 0.642132, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.406254, 0.483562, -0.623091, -0.409543, 0.212502, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.005927, 0.511585, 0.713372, -0.289058, 0.381827, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[60.615932, 63.305043, 64.682777, 68.042753, 181.803715], [67.145492, 69.203906, 71.817646, 72.059420, 267.400896], [57.229869, 59.543189, 61.602503, 63.210002, 217.528171], [46.802746, 48.155908, 49.991695, 51.738389, 180.740068], [2.147932, 2.415889, 2.555392, 2.699138, 26.689940]]
### 8
mean: [1.373501, -2.538243, -2.030487, 3.686206, -2.211962]
std: [2.520369, 4.641511, 3.585050, 5.039502, 3.682896]
pca: [[0.281929, 0.842753, -0.439238, 0.106979, 0.076873, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.519969, -0.098496, -0.334702, 0.779611, -0.010587, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.401502, 0.516018, 0.737136, 0.112126, -0.128762, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.564554, -0.101793, 0.382757, 0.534631, 0.488450, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.412582, 0.058562, -0.071923, -0.286982, 0.859544, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[43.114848, 45.141385, 45.233760, 45.890222, 123.615062], [77.011432, 79.625421, 83.843039, 84.159309, 228.441847], [59.753891, 60.327932, 64.788736, 65.661250, 182.743804], [83.191135, 85.929232, 91.127491, 91.377417, 331.758552], [60.841583, 62.885961, 66.561012, 66.898672, 199.076537]]
### 10
mean: [-2.643950]
std: [4.236284]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[71.662771, 75.591592, 76.440163, 76.714798, 237.955489]]
## 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.
|
starts_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.292079,
-0.380278,
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-0.324325,
-0.085767
],
[
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-0.087956,
-0.063884,
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],
[
1.082126,
0.076491,
0.076888,
0.103394,
-0.204139
],
[
-0.432491,
-0.164952,
0.123775,
0.271833,
0.692852
],
[
0.111699,
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0.288179,
0.387864,
-0.229118
]
],
"network.0.bias": [
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0.514983,
-0.109348,
-0.029486
],
"network.2.weight": [
[
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],
[
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0.848121,
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-0.325197
],
[
-0.400392,
0.001251,
0.597223,
-0.299383,
-0.06345
],
[
-0.152766,
-0.613757,
0.08315,
-0.783489,
0.588764
],
[
0.341406,
0.359428,
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]
],
"network.2.bias": [
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0.269656,
-0.183062,
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-0.418833
],
"network.4.weight": [
[
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0.394755,
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],
[
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-0.833896,
-0.210486,
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],
[
-0.629048,
0.95693,
0.558795,
0.713642,
-0.384692
],
[
0.176002,
1.03185,
0.482677,
0.337683,
0.052008
],
[
-0.570782,
-0.368449,
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-0.20809,
0.268694
]
],
"network.4.bias": [
-0.214612,
0.112879,
-0.049089,
-0.175371,
0.307805
],
"network.6.weight": [
[
-0.06989,
0.776772,
-0.517865,
-0.731542,
0.214282
],
[
0.493987,
-0.750432,
0.712308,
0.453676,
-0.485221
],
[
0.177982,
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0.615703,
0.502118,
-0.436702
],
[
0.365601,
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0.781816,
0.029075,
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],
[
0.166021,
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0.028146,
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0.094785
]
],
"network.6.bias": [
0.561007,
0.057917,
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-0.224215,
-0.283343
],
"network.8.weight": [
[
-0.74133,
0.054798,
0.515382,
0.153868,
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],
[
0.480109,
-0.387822,
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-0.325979,
-0.691166
],
[
0.075911,
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0.13139
],
[
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0.492605,
0.47429,
0.491416,
-0.287338
],
[
0.351256,
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]
],
"network.8.bias": [
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0.619722,
0.57585,
0.13671,
0.3663
],
"network.10.weight": [
[
-0.620483,
0.47247,
0.394111,
-0.510976,
0.410567
]
],
"network.10.bias": [
-0.032214
]
}
## Activation Signature
### 0
mean: [-2.039677, -2.721012, 2.131577, 0.747862, 1.779810]
std: [1.231748, 1.878686, 2.259118, 1.664073, 1.342080]
pca: [[-0.102049, -0.506167, -0.439886, 0.008639, 0.734715, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.540255, -0.420949, 0.263433, 0.644474, -0.214900, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.732382, -0.312844, -0.299483, 0.432591, -0.298194, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.221058, 0.630554, -0.567211, 0.477898, 0.058485, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.335350, 0.266697, 0.570688, 0.411165, 0.567161, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.515570, 18.905084, 19.281935, 21.250058, 183.570889], [28.001237, 29.447612, 31.555575, 37.911889, 244.891050], [37.033774, 42.166481, 42.593252, 43.040677, 191.841911], [25.137572, 25.198965, 26.082041, 28.029350, 67.307609], [21.399562, 21.764169, 21.859011, 27.110963, 160.182935]]
### 2
mean: [-1.159659, 1.154329, 0.667386, 0.883599, -1.930270]
std: [0.503721, 1.957881, 1.485772, 1.430757, 1.005270]
pca: [[-0.113646, -0.091468, 0.451590, 0.754049, -0.454087, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.697934, -0.442152, -0.054451, -0.225105, -0.513568, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.544026, -0.142472, -0.082770, 0.505281, 0.649290, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.412534, 0.641774, 0.611812, -0.206153, 0.033592, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.183912, -0.603293, 0.641823, -0.287975, 0.327639, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.459643, 8.736662, 8.819982, 10.191105, 104.369326], [33.083013, 34.269215, 38.404136, 40.860856, 103.889582], [24.590265, 26.433874, 26.604205, 31.254996, 60.064700], [20.706329, 21.149733, 22.289141, 25.457231, 79.523875], [16.262510, 16.490095, 17.557381, 20.405085, 173.724304]]
### 4
mean: [0.924511, -1.865454, 2.430131, 1.806493, -0.831222]
std: [1.324424, 3.053898, 2.910862, 2.725546, 1.690260]
pca: [[-0.234488, 0.774365, -0.451368, 0.360689, 0.107442, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.559775, 0.450840, 0.387377, -0.271077, 0.509756, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.533795, 0.378044, 0.577869, -0.327783, -0.361623, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.500367, -0.225138, 0.314842, 0.345588, 0.693101, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.310423, 0.059135, 0.461680, 0.754684, -0.342701, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.353640, 21.700049, 21.715539, 24.713837, 83.205970], [53.240730, 53.318134, 53.626910, 60.436828, 167.890856], [48.680436, 50.813366, 52.063891, 52.422976, 218.711799], [46.793294, 47.871827, 48.011238, 52.849602, 162.584393], [28.971606, 29.211609, 30.011016, 31.991750, 74.809987]]
### 6
mean: [-2.020041, 2.971121, 2.416980, 2.008223, -0.296555]
std: [3.626749, 4.000006, 3.431918, 2.846157, 0.135665]
pca: [[-0.517814, 0.584022, -0.233971, 0.573988, 0.081133, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.571345, 0.355616, 0.218069, 0.330775, -0.624608, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.490261, -0.192106, 0.023692, 0.556638, 0.642132, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.406254, 0.483562, -0.623091, -0.409543, 0.212502, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.005927, 0.511585, 0.713372, -0.289058, 0.381827, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[60.615932, 63.305043, 64.682777, 68.042753, 181.803715], [67.145492, 69.203906, 71.817646, 72.059420, 267.400896], [57.229869, 59.543189, 61.602503, 63.210002, 217.528171], [46.802746, 48.155908, 49.991695, 51.738389, 180.740068], [2.147932, 2.415889, 2.555392, 2.699138, 26.689940]]
### 8
mean: [1.373501, -2.538243, -2.030487, 3.686206, -2.211962]
std: [2.520369, 4.641511, 3.585050, 5.039502, 3.682896]
pca: [[0.281929, 0.842753, -0.439238, 0.106979, 0.076873, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.519969, -0.098496, -0.334702, 0.779611, -0.010587, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.401502, 0.516018, 0.737136, 0.112126, -0.128762, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.564554, -0.101793, 0.382757, 0.534631, 0.488450, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.412582, 0.058562, -0.071923, -0.286982, 0.859544, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[43.114848, 45.141385, 45.233760, 45.890222, 123.615062], [77.011432, 79.625421, 83.843039, 84.159309, 228.441847], [59.753891, 60.327932, 64.788736, 65.661250, 182.743804], [83.191135, 85.929232, 91.127491, 91.377417, 331.758552], [60.841583, 62.885961, 66.561012, 66.898672, 199.076537]]
### 10
mean: [-2.643950]
std: [4.236284]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[71.662771, 75.591592, 76.440163, 76.714798, 237.955489]]
## 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.
starts_with
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -2.0396766662597656, "std": 1.2317475080490112, "pca": [-0.10204937309026718, -0.5061671137809753, -0.4398863613605499, 0.008638649247586727, 0.7347149848937988, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [18.515569899485907, 18.905084327298514, 19.281935475394686, 21.250057581724032, 183.5708890259266]}, "1": {"mean": -2.7210118770599365, "std": 1.8786855936050415, "pca": [-0.5402554869651794, -0.42094889283180237, 0.2634328603744507, 0.6444743871688843, -0.21489979326725006, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [28.001237125940857, 29.447612230453107, 31.555575250465793, 37.91188887193516, 244.89104995131493]}, "2": {"mean": 2.1315767765045166, "std": 2.259117841720581, "pca": [0.7323822975158691, -0.31284448504447937, -0.29948264360427856, 0.43259087204933167, -0.2981942296028137, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [37.03377411271641, 42.16648088001283, 42.59325152349128, 43.04067731181493, 191.84191116690636]}, "3": 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"gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.292079, -0.380278, -0.16959, -0.324325, -0.085767], [-0.261185, -0.69855, -0.087956, -0.063884, -0.415969], [1.082126, 0.076491, 0.076888, 0.103394, -0.204139], [-0.432491, -0.164952, 0.123775, 0.271833, 0.692852], [0.111699, 0.284896, 0.288179, 0.387864, -0.229118]], "network.0.bias": [-0.554671, -0.289314, 0.514983, -0.109348, -0.029486], "network.2.weight": [[0.592164, 0.14734, -0.158014, -0.184503, -0.165502], [-0.696508, -0.151717, 0.848121, -0.354272, -0.325197], [-0.400392, 0.001251, 0.597223, -0.299383, -0.06345], [-0.152766, -0.613757, 0.08315, -0.783489, 0.588764], [0.341406, 0.359428, -0.085831, -0.141183, -0.671282]], "network.2.bias": [-0.330563, 0.269656, -0.183062, 0.402818, -0.418833], "network.4.weight": [[0.3066, 0.185827, 0.394755, 0.611294, -0.008925], [-0.719511, -0.987699, -0.833896, -0.210486, -0.316191], [-0.629048, 0.95693, 0.558795, 0.713642, -0.384692], [0.176002, 1.03185, 0.482677, 0.337683, 0.052008], [-0.570782, -0.368449, -0.663819, -0.20809, 0.268694]], "network.4.bias": [-0.214612, 0.112879, -0.049089, -0.175371, 0.307805], "network.6.weight": [[-0.06989, 0.776772, -0.517865, -0.731542, 0.214282], [0.493987, -0.750432, 0.712308, 0.453676, -0.485221], [0.177982, -0.410852, 0.615703, 0.502118, -0.436702], [0.365601, -0.113512, 0.781816, 0.029075, -0.05214], [0.166021, -0.588575, 0.028146, -0.128514, 0.094785]], "network.6.bias": [0.561007, 0.057917, -0.074748, -0.224215, -0.283343], "network.8.weight": [[-0.74133, 0.054798, 0.515382, 0.153868, -0.562203], [0.480109, -0.387822, -0.620642, -0.325979, -0.691166], [0.075911, -0.486604, -0.416968, -0.075332, 0.13139], [-0.486032, 0.492605, 0.47429, 0.491416, -0.287338], [0.351256, -0.344419, -0.41621, -0.298024, 0.057691]], "network.8.bias": [-0.295583, 0.619722, 0.57585, 0.13671, 0.3663], "network.10.weight": [[-0.620483, 0.47247, 0.394111, -0.510976, 0.410567]], "network.10.bias": [-0.032214]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6963419318199158, "train_acc": 0.56, "val_loss": 0.7075526714324951, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6887241005897522, "train_acc": 0.56, "val_loss": 0.7001407146453857, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6835712790489197, "train_acc": 0.56, "val_loss": 0.6909722685813904, "val_acc": 0.5}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6748434901237488, "train_acc": 0.56, "val_loss": 0.6721327900886536, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6496498584747314, "train_acc": 0.6, "val_loss": 0.5975578427314758, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.528459832072258, "train_acc": 0.77, "val_loss": 0.6109441518783569, "val_acc": 0.66}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5262758433818817, "train_acc": 0.71, "val_loss": 0.5115855932235718, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.4702067971229553, "train_acc": 0.775, "val_loss": 0.4862329363822937, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.46684040129184723, "train_acc": 0.78, "val_loss": 0.46129631996154785, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.43701642751693726, "train_acc": 0.775, "val_loss": 0.48007193207740784, "val_acc": 0.74}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.4549403786659241, "train_acc": 0.795, "val_loss": 0.494080513715744, "val_acc": 0.74}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.43023617565631866, "train_acc": 0.795, "val_loss": 0.4722190797328949, "val_acc": 0.76}], "summary": {"total_epochs": 12, "degraded_epochs": 4, "improved_epochs": 8, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.7075526714324951, "final_val_loss": 0.6721327900886536, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.5975578427314758, "final_val_loss": 0.4722190797328949, "initial_val_acc": 0.74, "final_val_acc": 0.76, "best_val_acc": 0.76, "best_epoch": 7}, "improvement": 0.26, "first_improvement_epoch": 3}}
|
9,426
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.48, "improved_accuracy": 0.9, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2221, "learning_rate": 0.06528529252664879, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "increasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["increasing_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: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.097628,
-0.036141,
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0.309591,
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-0.080831,
-0.032226,
-0.369218
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[
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0.49537,
0.109515,
0.210372,
0.476633,
0.694918,
0.298499,
0.701066
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0.040828,
-0.038421,
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0.469015,
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[
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0.014312,
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0.141884,
-0.432731
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[
-0.171374,
-0.106467,
-0.22723,
0.080196,
-0.043474,
0.08433,
-0.442365,
0.021794
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[
-0.366632,
0.047438,
0.062641,
-0.219186,
0.069961,
-0.308996,
-0.157071,
-0.252052
]
],
"network.4.bias": [
-0.249883,
0.037437,
0.068153,
-0.212603,
0.264793,
-0.063965,
0.182047,
-0.172392
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[
-0.112674,
0.199979,
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],
[
0.000102,
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}
## Activation Signature
### 0
mean: [1.214584, -0.393231, 1.908953, -2.534875, 0.707894, 1.893135, -0.117222, 2.046659]
std: [1.160269, 1.983114, 2.197635, 1.602182, 0.938495, 1.902176, 1.422380, 2.374783]
pca: [[0.193999, -0.076527, -0.400047, 0.639037, 0.008059, -0.584568, -0.028282, 0.213349, 0.000000, 0.000000], [0.085583, 0.937864, 0.202369, 0.134839, 0.016717, -0.001999, 0.020422, 0.230764, 0.000000, 0.000000], [0.511854, -0.178568, 0.086453, 0.422664, 0.166584, 0.669936, 0.049356, 0.202486, 0.000000, 0.000000], [-0.265555, -0.151591, 0.743785, 0.474620, -0.108624, -0.152494, 0.204088, -0.226528, 0.000000, 0.000000], [0.200409, -0.133749, 0.123842, -0.301752, -0.072319, -0.195118, 0.753482, 0.473836, 0.000000, 0.000000], [0.434006, 0.042068, 0.153504, -0.155448, 0.696171, -0.288952, 0.070001, -0.434848, 0.000000, 0.000000], [-0.291135, 0.181301, -0.446340, 0.225794, 0.092412, 0.247059, 0.615667, -0.428420, 0.000000, 0.000000], [0.556096, 0.084618, -0.014085, -0.057798, -0.679471, -0.060044, 0.054901, -0.460171, 0.000000, 0.000000]]
fourier: [[19.663164, 19.767760, 20.793413, 22.155587, 109.312585], [28.903999, 29.555950, 31.280877, 33.408364, 35.390779], [35.850837, 36.087081, 36.240033, 39.050755, 171.805737], [25.227790, 26.366193, 29.288057, 32.391378, 228.138768], [14.367646, 15.348589, 15.654576, 18.177480, 63.710481], [30.899207, 31.465681, 31.545127, 33.554830, 170.382197], [21.838919, 23.438067, 23.921445, 24.407586, 26.186797], [36.799315, 37.566204, 44.493195, 47.799251, 184.199326]]
### 2
mean: [2.643198, 3.417129, 3.601277, -1.135160, -1.603742, 4.335164, 3.027671, 3.651810]
std: [2.723283, 3.496583, 3.257785, 0.627044, 1.434862, 4.028611, 2.736724, 3.577694]
pca: [[0.327941, 0.231836, -0.230208, 0.416772, 0.200260, 0.717142, -0.237960, 0.031465, 0.000000, 0.000000], [0.421041, -0.372302, -0.083730, 0.561753, -0.202422, -0.472773, -0.303387, 0.070760, 0.000000, 0.000000], [0.391152, 0.368773, 0.633149, 0.136720, 0.045688, -0.084450, 0.360778, 0.389945, 0.000000, 0.000000], [-0.065824, -0.437151, -0.279197, -0.108050, 0.124871, 0.142192, 0.203453, 0.798584, 0.000000, 0.000000], [-0.164479, 0.534339, -0.578173, 0.293160, -0.163869, -0.282512, 0.389699, 0.093114, 0.000000, 0.000000], [0.486246, -0.013840, -0.281583, -0.285677, 0.680011, -0.270055, 0.160174, -0.203648, 0.000000, 0.000000], [0.328550, 0.353843, -0.176052, -0.534553, -0.359846, -0.083051, -0.484320, 0.281345, 0.000000, 0.000000], [0.431756, -0.263883, -0.128830, -0.164519, -0.531492, 0.274231, 0.517388, -0.273699, 0.000000, 0.000000]]
fourier: [[43.044442, 44.033432, 47.688064, 47.854309, 237.887864], [54.705484, 58.026407, 58.564579, 65.066282, 307.541565], [53.266123, 53.665602, 55.838158, 56.720426, 324.114893], [11.207823, 11.305344, 11.480422, 12.253614, 102.164401], [24.132122, 24.723029, 25.587416, 27.673639, 144.336811], [64.876427, 65.469248, 71.930687, 73.435290, 390.164797], [43.101190, 45.152366, 48.967263, 50.335829, 272.490376], [56.402575, 59.437688, 62.225549, 67.653422, 328.662896]]
### 4
mean: [8.818601, 2.898379, -2.976751, 9.381941, 5.842096, -3.939141, -2.355613, -3.504463]
std: [8.732860, 2.649594, 2.821164, 9.153137, 5.416911, 3.645366, 2.352114, 3.181722]
pca: [[0.571844, 0.361656, 0.161403, 0.061716, -0.209963, 0.163076, 0.579937, -0.324554, 0.000000, 0.000000], [0.173427, -0.139129, -0.114694, -0.440573, 0.535960, 0.544318, -0.167550, -0.362902, 0.000000, 0.000000], [-0.184489, 0.538534, 0.316118, -0.051035, 0.436257, 0.214716, 0.171472, 0.554603, 0.000000, 0.000000], [0.599374, 0.192336, -0.374596, -0.076560, -0.197739, 0.093639, -0.432301, 0.472039, 0.000000, 0.000000], [0.354621, -0.149759, 0.517650, 0.574271, 0.316142, -0.062600, -0.377791, -0.086465, 0.000000, 0.000000], [-0.238578, 0.373515, 0.402944, -0.181229, -0.484903, 0.264769, -0.485673, -0.259323, 0.000000, 0.000000], [-0.153585, 0.579895, -0.486156, 0.344787, 0.263544, -0.195019, -0.175590, -0.382868, 0.000000, 0.000000], [-0.208252, -0.156897, -0.232095, 0.558669, -0.186306, 0.714282, 0.099383, 0.106064, 0.000000, 0.000000]]
fourier: [[141.574163, 143.461062, 154.178409, 157.547472, 793.674010], [42.798464, 43.656817, 46.889823, 47.486168, 260.854109], [45.941899, 46.753802, 49.378056, 49.879025, 267.907566], [148.741924, 150.284199, 161.752446, 164.990589, 844.374637], [88.410431, 88.760730, 94.606246, 96.538371, 525.788663], [59.554402, 59.977336, 63.902678, 64.587066, 354.522608], [37.459890, 39.386376, 40.702542, 41.845061, 212.005177], [51.727284, 51.741766, 57.096241, 57.190457, 315.401663]]
### 6
mean: [-2.091516, -0.102238, -4.562196, -10.492990, -4.594083, -6.653276, 14.144480, 13.712023]
std: [1.863728, 0.526565, 4.589493, 10.231864, 4.089761, 6.414694, 13.990610, 13.434274]
pca: [[-0.078485, 0.457227, -0.243526, 0.038479, -0.090264, 0.794796, -0.137424, 0.255469, 0.000000, 0.000000], [-0.022037, 0.640978, -0.306042, 0.407034, 0.330857, -0.465498, -0.003618, 0.056171, 0.000000, 0.000000], [-0.193312, 0.394259, 0.633462, -0.064648, -0.469206, -0.224430, -0.279138, 0.230860, 0.000000, 0.000000], [-0.430997, 0.115380, 0.034554, -0.575554, 0.334269, -0.068768, 0.468082, 0.364564, 0.000000, 0.000000], [-0.172268, -0.081953, 0.501641, 0.622366, 0.202673, 0.252200, 0.468663, 0.017290, 0.000000, 0.000000], [-0.270201, -0.449234, -0.175828, 0.287025, 0.060979, -0.110831, -0.362701, 0.681415, 0.000000, 0.000000], [0.589327, 0.048846, 0.380693, -0.158074, 0.577102, 0.092735, -0.280899, 0.244626, 0.000000, 0.000000], [0.565893, 0.020615, -0.130686, 0.051875, -0.415517, -0.109658, 0.503966, 0.470010, 0.000000, 0.000000]]
fourier: [[30.149483, 30.847669, 32.978597, 33.863497, 188.236454], [8.292237, 8.914868, 9.201402, 9.380722, 9.989595], [74.835372, 75.170193, 81.248698, 82.392742, 410.597626], [166.617253, 168.090883, 180.612610, 183.699241, 944.369009], [66.710978, 66.954614, 72.095582, 73.257791, 413.467469], [104.469910, 105.393574, 112.858186, 114.991444, 598.794907], [227.698789, 230.027911, 246.635390, 251.305736, 1273.003074], [218.817639, 220.616267, 236.984043, 241.099890, 1234.082144]]
### 8
mean: [-2.709471, 9.127603, -0.794053, 17.987978, -5.612554, -7.066299, -6.148108, -3.612093]
std: [2.276924, 9.339511, 0.564956, 17.840740, 5.243719, 6.896117, 5.865829, 3.035460]
pca: [[-0.098918, -0.487394, 0.145863, 0.348872, -0.074025, -0.075151, 0.750279, -0.188754, 0.000000, 0.000000], [0.405801, -0.055576, -0.079059, 0.185175, 0.278751, 0.370785, 0.195860, 0.733588, 0.000000, 0.000000], [-0.024535, -0.162863, 0.876510, 0.182070, -0.150625, 0.152315, -0.333742, 0.119091, 0.000000, 0.000000], [0.775178, 0.285744, 0.105441, 0.090852, -0.148491, 0.179872, 0.107224, -0.481847, 0.000000, 0.000000], [-0.227832, 0.498731, 0.383723, -0.282012, 0.549278, 0.096329, 0.392710, -0.085900, 0.000000, 0.000000], [-0.299636, 0.043776, -0.111058, -0.216141, -0.440952, 0.796127, 0.132531, -0.058567, 0.000000, 0.000000], [-0.254869, 0.173185, -0.178836, 0.750969, 0.330146, 0.277381, -0.239669, -0.256389, 0.000000, 0.000000], [-0.131873, 0.608722, 0.039065, 0.335251, -0.516661, -0.285096, 0.215899, 0.321428, 0.000000, 0.000000]]
fourier: [[37.081727, 37.122087, 40.379438, 41.195493, 243.852377], [152.194598, 153.494905, 164.744438, 167.539679, 821.484283], [9.114978, 9.145880, 9.995373, 10.330663, 71.464743], [290.789819, 292.971628, 314.890123, 320.282334, 1618.918057], [85.370580, 86.473425, 92.264845, 93.781685, 505.129872], [112.388603, 113.354574, 121.643888, 123.697397, 635.966858], [95.526049, 96.590627, 103.350021, 105.171869, 553.329733], [49.328609, 50.368876, 53.192971, 54.111797, 325.088386]]
### 10
mean: [-7.605678, -7.974566, -2.225840, -2.882863, 5.331859, 1.364230, 15.469318, 9.390413]
std: [7.428506, 7.972148, 2.017203, 2.660396, 5.583213, 1.009030, 15.833258, 9.318008]
pca: [[-0.332349, 0.081134, 0.278078, -0.019746, 0.579453, 0.231599, -0.420416, 0.488969, 0.000000, 0.000000], [-0.356671, 0.398451, 0.393341, 0.234511, -0.244068, -0.028113, 0.597967, 0.293916, 0.000000, 0.000000], [-0.090247, 0.399322, 0.099842, -0.499253, -0.131484, 0.642588, -0.027906, -0.377079, 0.000000, 0.000000], [-0.119023, 0.504115, -0.030220, -0.237139, -0.338284, -0.553964, -0.496988, 0.079022, 0.000000, 0.000000], [0.249790, 0.514154, -0.174317, 0.713457, 0.122144, 0.196451, -0.201869, -0.198949, 0.000000, 0.000000], [0.045142, 0.301233, -0.009563, -0.234850, 0.675520, -0.405011, 0.345799, -0.334720, 0.000000, 0.000000], [0.708374, 0.023229, 0.691533, -0.076564, -0.028320, -0.045595, -0.069286, 0.076839, 0.000000, 0.000000], [0.416884, 0.255793, -0.498375, -0.262848, 0.029879, 0.145153, 0.229743, 0.607097, 0.000000, 0.000000]]
fourier: [[121.262099, 122.096043, 131.135134, 133.060837, 684.510974], [130.074254, 130.989381, 140.729040, 142.909017, 717.711049], [32.846066, 33.099134, 35.605193, 36.277602, 200.325583], [43.323319, 43.655748, 46.958298, 47.837626, 259.457682], [91.264460, 91.850666, 98.565642, 99.784488, 479.867316], [16.538223, 16.629582, 17.814769, 17.952707, 122.780717], [258.506614, 260.269069, 279.506053, 283.526034, 1392.238654], [152.189238, 153.208310, 164.494233, 166.757850, 845.137239]]
### 12
mean: [-12.168030]
std: [12.865487]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[210.464583, 211.648058, 227.233967, 229.730669, 1095.122745]]
## 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.
|
increasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.001387,
0.569981,
0.206252,
-0.123443,
0.010124
],
[
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0.075229,
-0.723165,
0.361512
],
[
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-0.027057,
0.019096,
-0.295082
],
[
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-0.022241,
-0.557954,
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],
[
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0.007036,
0.208724,
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],
[
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0.089867,
-0.004557
],
[
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0.167038,
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0.411413
],
[
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]
],
"network.0.bias": [
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}
## Activation Signature
### 0
mean: [1.214584, -0.393231, 1.908953, -2.534875, 0.707894, 1.893135, -0.117222, 2.046659]
std: [1.160269, 1.983114, 2.197635, 1.602182, 0.938495, 1.902176, 1.422380, 2.374783]
pca: [[0.193999, -0.076527, -0.400047, 0.639037, 0.008059, -0.584568, -0.028282, 0.213349, 0.000000, 0.000000], [0.085583, 0.937864, 0.202369, 0.134839, 0.016717, -0.001999, 0.020422, 0.230764, 0.000000, 0.000000], [0.511854, -0.178568, 0.086453, 0.422664, 0.166584, 0.669936, 0.049356, 0.202486, 0.000000, 0.000000], [-0.265555, -0.151591, 0.743785, 0.474620, -0.108624, -0.152494, 0.204088, -0.226528, 0.000000, 0.000000], [0.200409, -0.133749, 0.123842, -0.301752, -0.072319, -0.195118, 0.753482, 0.473836, 0.000000, 0.000000], [0.434006, 0.042068, 0.153504, -0.155448, 0.696171, -0.288952, 0.070001, -0.434848, 0.000000, 0.000000], [-0.291135, 0.181301, -0.446340, 0.225794, 0.092412, 0.247059, 0.615667, -0.428420, 0.000000, 0.000000], [0.556096, 0.084618, -0.014085, -0.057798, -0.679471, -0.060044, 0.054901, -0.460171, 0.000000, 0.000000]]
fourier: [[19.663164, 19.767760, 20.793413, 22.155587, 109.312585], [28.903999, 29.555950, 31.280877, 33.408364, 35.390779], [35.850837, 36.087081, 36.240033, 39.050755, 171.805737], [25.227790, 26.366193, 29.288057, 32.391378, 228.138768], [14.367646, 15.348589, 15.654576, 18.177480, 63.710481], [30.899207, 31.465681, 31.545127, 33.554830, 170.382197], [21.838919, 23.438067, 23.921445, 24.407586, 26.186797], [36.799315, 37.566204, 44.493195, 47.799251, 184.199326]]
### 2
mean: [2.643198, 3.417129, 3.601277, -1.135160, -1.603742, 4.335164, 3.027671, 3.651810]
std: [2.723283, 3.496583, 3.257785, 0.627044, 1.434862, 4.028611, 2.736724, 3.577694]
pca: [[0.327941, 0.231836, -0.230208, 0.416772, 0.200260, 0.717142, -0.237960, 0.031465, 0.000000, 0.000000], [0.421041, -0.372302, -0.083730, 0.561753, -0.202422, -0.472773, -0.303387, 0.070760, 0.000000, 0.000000], [0.391152, 0.368773, 0.633149, 0.136720, 0.045688, -0.084450, 0.360778, 0.389945, 0.000000, 0.000000], [-0.065824, -0.437151, -0.279197, -0.108050, 0.124871, 0.142192, 0.203453, 0.798584, 0.000000, 0.000000], [-0.164479, 0.534339, -0.578173, 0.293160, -0.163869, -0.282512, 0.389699, 0.093114, 0.000000, 0.000000], [0.486246, -0.013840, -0.281583, -0.285677, 0.680011, -0.270055, 0.160174, -0.203648, 0.000000, 0.000000], [0.328550, 0.353843, -0.176052, -0.534553, -0.359846, -0.083051, -0.484320, 0.281345, 0.000000, 0.000000], [0.431756, -0.263883, -0.128830, -0.164519, -0.531492, 0.274231, 0.517388, -0.273699, 0.000000, 0.000000]]
fourier: [[43.044442, 44.033432, 47.688064, 47.854309, 237.887864], [54.705484, 58.026407, 58.564579, 65.066282, 307.541565], [53.266123, 53.665602, 55.838158, 56.720426, 324.114893], [11.207823, 11.305344, 11.480422, 12.253614, 102.164401], [24.132122, 24.723029, 25.587416, 27.673639, 144.336811], [64.876427, 65.469248, 71.930687, 73.435290, 390.164797], [43.101190, 45.152366, 48.967263, 50.335829, 272.490376], [56.402575, 59.437688, 62.225549, 67.653422, 328.662896]]
### 4
mean: [8.818601, 2.898379, -2.976751, 9.381941, 5.842096, -3.939141, -2.355613, -3.504463]
std: [8.732860, 2.649594, 2.821164, 9.153137, 5.416911, 3.645366, 2.352114, 3.181722]
pca: [[0.571844, 0.361656, 0.161403, 0.061716, -0.209963, 0.163076, 0.579937, -0.324554, 0.000000, 0.000000], [0.173427, -0.139129, -0.114694, -0.440573, 0.535960, 0.544318, -0.167550, -0.362902, 0.000000, 0.000000], [-0.184489, 0.538534, 0.316118, -0.051035, 0.436257, 0.214716, 0.171472, 0.554603, 0.000000, 0.000000], [0.599374, 0.192336, -0.374596, -0.076560, -0.197739, 0.093639, -0.432301, 0.472039, 0.000000, 0.000000], [0.354621, -0.149759, 0.517650, 0.574271, 0.316142, -0.062600, -0.377791, -0.086465, 0.000000, 0.000000], [-0.238578, 0.373515, 0.402944, -0.181229, -0.484903, 0.264769, -0.485673, -0.259323, 0.000000, 0.000000], [-0.153585, 0.579895, -0.486156, 0.344787, 0.263544, -0.195019, -0.175590, -0.382868, 0.000000, 0.000000], [-0.208252, -0.156897, -0.232095, 0.558669, -0.186306, 0.714282, 0.099383, 0.106064, 0.000000, 0.000000]]
fourier: [[141.574163, 143.461062, 154.178409, 157.547472, 793.674010], [42.798464, 43.656817, 46.889823, 47.486168, 260.854109], [45.941899, 46.753802, 49.378056, 49.879025, 267.907566], [148.741924, 150.284199, 161.752446, 164.990589, 844.374637], [88.410431, 88.760730, 94.606246, 96.538371, 525.788663], [59.554402, 59.977336, 63.902678, 64.587066, 354.522608], [37.459890, 39.386376, 40.702542, 41.845061, 212.005177], [51.727284, 51.741766, 57.096241, 57.190457, 315.401663]]
### 6
mean: [-2.091516, -0.102238, -4.562196, -10.492990, -4.594083, -6.653276, 14.144480, 13.712023]
std: [1.863728, 0.526565, 4.589493, 10.231864, 4.089761, 6.414694, 13.990610, 13.434274]
pca: [[-0.078485, 0.457227, -0.243526, 0.038479, -0.090264, 0.794796, -0.137424, 0.255469, 0.000000, 0.000000], [-0.022037, 0.640978, -0.306042, 0.407034, 0.330857, -0.465498, -0.003618, 0.056171, 0.000000, 0.000000], [-0.193312, 0.394259, 0.633462, -0.064648, -0.469206, -0.224430, -0.279138, 0.230860, 0.000000, 0.000000], [-0.430997, 0.115380, 0.034554, -0.575554, 0.334269, -0.068768, 0.468082, 0.364564, 0.000000, 0.000000], [-0.172268, -0.081953, 0.501641, 0.622366, 0.202673, 0.252200, 0.468663, 0.017290, 0.000000, 0.000000], [-0.270201, -0.449234, -0.175828, 0.287025, 0.060979, -0.110831, -0.362701, 0.681415, 0.000000, 0.000000], [0.589327, 0.048846, 0.380693, -0.158074, 0.577102, 0.092735, -0.280899, 0.244626, 0.000000, 0.000000], [0.565893, 0.020615, -0.130686, 0.051875, -0.415517, -0.109658, 0.503966, 0.470010, 0.000000, 0.000000]]
fourier: [[30.149483, 30.847669, 32.978597, 33.863497, 188.236454], [8.292237, 8.914868, 9.201402, 9.380722, 9.989595], [74.835372, 75.170193, 81.248698, 82.392742, 410.597626], [166.617253, 168.090883, 180.612610, 183.699241, 944.369009], [66.710978, 66.954614, 72.095582, 73.257791, 413.467469], [104.469910, 105.393574, 112.858186, 114.991444, 598.794907], [227.698789, 230.027911, 246.635390, 251.305736, 1273.003074], [218.817639, 220.616267, 236.984043, 241.099890, 1234.082144]]
### 8
mean: [-2.709471, 9.127603, -0.794053, 17.987978, -5.612554, -7.066299, -6.148108, -3.612093]
std: [2.276924, 9.339511, 0.564956, 17.840740, 5.243719, 6.896117, 5.865829, 3.035460]
pca: [[-0.098918, -0.487394, 0.145863, 0.348872, -0.074025, -0.075151, 0.750279, -0.188754, 0.000000, 0.000000], [0.405801, -0.055576, -0.079059, 0.185175, 0.278751, 0.370785, 0.195860, 0.733588, 0.000000, 0.000000], [-0.024535, -0.162863, 0.876510, 0.182070, -0.150625, 0.152315, -0.333742, 0.119091, 0.000000, 0.000000], [0.775178, 0.285744, 0.105441, 0.090852, -0.148491, 0.179872, 0.107224, -0.481847, 0.000000, 0.000000], [-0.227832, 0.498731, 0.383723, -0.282012, 0.549278, 0.096329, 0.392710, -0.085900, 0.000000, 0.000000], [-0.299636, 0.043776, -0.111058, -0.216141, -0.440952, 0.796127, 0.132531, -0.058567, 0.000000, 0.000000], [-0.254869, 0.173185, -0.178836, 0.750969, 0.330146, 0.277381, -0.239669, -0.256389, 0.000000, 0.000000], [-0.131873, 0.608722, 0.039065, 0.335251, -0.516661, -0.285096, 0.215899, 0.321428, 0.000000, 0.000000]]
fourier: [[37.081727, 37.122087, 40.379438, 41.195493, 243.852377], [152.194598, 153.494905, 164.744438, 167.539679, 821.484283], [9.114978, 9.145880, 9.995373, 10.330663, 71.464743], [290.789819, 292.971628, 314.890123, 320.282334, 1618.918057], [85.370580, 86.473425, 92.264845, 93.781685, 505.129872], [112.388603, 113.354574, 121.643888, 123.697397, 635.966858], [95.526049, 96.590627, 103.350021, 105.171869, 553.329733], [49.328609, 50.368876, 53.192971, 54.111797, 325.088386]]
### 10
mean: [-7.605678, -7.974566, -2.225840, -2.882863, 5.331859, 1.364230, 15.469318, 9.390413]
std: [7.428506, 7.972148, 2.017203, 2.660396, 5.583213, 1.009030, 15.833258, 9.318008]
pca: [[-0.332349, 0.081134, 0.278078, -0.019746, 0.579453, 0.231599, -0.420416, 0.488969, 0.000000, 0.000000], [-0.356671, 0.398451, 0.393341, 0.234511, -0.244068, -0.028113, 0.597967, 0.293916, 0.000000, 0.000000], [-0.090247, 0.399322, 0.099842, -0.499253, -0.131484, 0.642588, -0.027906, -0.377079, 0.000000, 0.000000], [-0.119023, 0.504115, -0.030220, -0.237139, -0.338284, -0.553964, -0.496988, 0.079022, 0.000000, 0.000000], [0.249790, 0.514154, -0.174317, 0.713457, 0.122144, 0.196451, -0.201869, -0.198949, 0.000000, 0.000000], [0.045142, 0.301233, -0.009563, -0.234850, 0.675520, -0.405011, 0.345799, -0.334720, 0.000000, 0.000000], [0.708374, 0.023229, 0.691533, -0.076564, -0.028320, -0.045595, -0.069286, 0.076839, 0.000000, 0.000000], [0.416884, 0.255793, -0.498375, -0.262848, 0.029879, 0.145153, 0.229743, 0.607097, 0.000000, 0.000000]]
fourier: [[121.262099, 122.096043, 131.135134, 133.060837, 684.510974], [130.074254, 130.989381, 140.729040, 142.909017, 717.711049], [32.846066, 33.099134, 35.605193, 36.277602, 200.325583], [43.323319, 43.655748, 46.958298, 47.837626, 259.457682], [91.264460, 91.850666, 98.565642, 99.784488, 479.867316], [16.538223, 16.629582, 17.814769, 17.952707, 122.780717], [258.506614, 260.269069, 279.506053, 283.526034, 1392.238654], [152.189238, 153.208310, 164.494233, 166.757850, 845.137239]]
### 12
mean: [-12.168030]
std: [12.865487]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[210.464583, 211.648058, 227.233967, 229.730669, 1095.122745]]
## 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.
increasing_pairs
|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7119089365005493, "train_acc": 0.435, "val_loss": 0.6994407773017883, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6647918522357941, "train_acc": 0.565, "val_loss": 0.646402895450592, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5907115936279297, "train_acc": 0.565, "val_loss": 0.47742587327957153, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4498523473739624, "train_acc": 0.83, "val_loss": 0.399931401014328, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.41073139011859894, "train_acc": 0.82, "val_loss": 0.3432144224643707, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.37605519592761993, "train_acc": 0.83, "val_loss": 0.3522520363330841, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.38496941328048706, "train_acc": 0.835, "val_loss": 0.4106876254081726, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.4030863642692566, "train_acc": 0.825, "val_loss": 0.3641664981842041, "val_acc": 0.84}], "summary": {"total_epochs": 8, "degraded_epochs": 2, "improved_epochs": 6, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6994407773017883, "final_val_loss": 0.646402895450592, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.47742587327957153, "final_val_loss": 0.3641664981842041, "initial_val_acc": 0.84, "final_val_acc": 0.84, "best_val_acc": 0.9, "best_epoch": 3}, "improvement": 0.42000000000000004, "first_improvement_epoch": 1}}
|
9,427
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.62, "improved_accuracy": 0.92, "improvement": 0.30000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2770, "learning_rate": 0.09711416691703378, "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: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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-0.099443,
0.214523,
-0.18738
],
[
0.095522,
-0.283298,
0.221793,
-0.295116,
0.116538,
0.350053,
-0.110764,
-0.203551
],
[
0.638978,
0.012667,
0.06995,
-0.266013,
0.065067,
-0.050881,
-0.074151,
-0.307263
]
],
"network.6.bias": [
0.196566,
-0.132941,
0.491824,
0.092537,
-0.53493,
-0.232618,
-0.274761,
0.371855
],
"network.8.weight": [
[
-0.324053,
0.123499,
-0.756406,
-0.244996,
-0.060104,
-0.08659,
-0.082193,
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]
],
"network.8.bias": [
0.180367
]
}
## Activation Signature
### 0
mean: [0.776919, -0.230766, -0.143748, 0.930641, -1.578186, 0.718106, 0.740185, 1.972220]
std: [1.948028, 0.947143, 1.355667, 2.380544, 1.261336, 1.584919, 1.954385, 1.856298]
pca: [[0.424680, 0.318116, 0.092186, -0.594823, -0.247655, -0.095627, 0.528325, -0.080818, 0.000000, 0.000000], [-0.206574, 0.018327, -0.296923, -0.115588, 0.336603, 0.761193, 0.338727, -0.219125, 0.000000, 0.000000], [0.286531, -0.131140, -0.341773, -0.331926, 0.728239, -0.313525, -0.159339, 0.140355, 0.000000, 0.000000], [0.546767, 0.164458, 0.021224, 0.704649, 0.224721, 0.000423, 0.355649, -0.005719, 0.000000, 0.000000], [0.037252, -0.632505, -0.052418, -0.015405, -0.162169, 0.090030, 0.381590, 0.644631, 0.000000, 0.000000], [0.332292, 0.005810, 0.659156, -0.157186, 0.186286, 0.465259, -0.356027, 0.228977, 0.000000, 0.000000], [0.432876, 0.104076, -0.586183, 0.004475, -0.415038, 0.297601, -0.423454, 0.134235, 0.000000, 0.000000], [-0.311019, 0.665803, -0.072351, 0.033990, 0.106185, -0.002175, 0.050819, 0.663115, 0.000000, 0.000000]]
fourier: [[33.471463, 36.296284, 37.080583, 37.094585, 69.922669], [14.045846, 15.179949, 15.537892, 18.089046, 20.768957], [19.530989, 21.270353, 22.031441, 23.478485, 26.586131], [35.064211, 36.786258, 38.430413, 47.010810, 83.757711], [18.718959, 24.361488, 25.052765, 25.685505, 142.036690], [25.985763, 26.100309, 27.247477, 28.689077, 64.629577], [29.041397, 32.294532, 32.807195, 41.110160, 66.616626], [29.378965, 29.699017, 32.911614, 33.303596, 177.499846]]
### 2
mean: [1.632585, -2.359546, 0.745055, -0.945558, 1.483194, -1.295183, -1.973106, -0.583268]
std: [0.739266, 1.536011, 3.081981, 2.337755, 3.418804, 3.193569, 3.495562, 2.833316]
pca: [[0.037021, -0.376595, 0.643250, -0.267453, -0.195343, 0.037773, 0.068446, 0.572043, 0.000000, 0.000000], [0.127494, 0.770310, -0.008623, 0.131375, -0.166443, -0.067656, -0.213761, 0.543194, 0.000000, 0.000000], [-0.407253, -0.007853, -0.128017, 0.192595, 0.341255, -0.465419, 0.580193, 0.333029, 0.000000, 0.000000], [-0.289175, 0.489174, 0.596396, -0.194273, 0.010259, 0.031442, 0.278721, -0.452633, 0.000000, 0.000000], [-0.451712, -0.020045, 0.061355, 0.370365, 0.277885, 0.730459, -0.107387, 0.179715, 0.000000, 0.000000], [0.421937, 0.026207, -0.051565, 0.336644, -0.366571, 0.339570, 0.674598, -0.022992, 0.000000, 0.000000], [0.460862, 0.135721, -0.046791, -0.425452, 0.695624, 0.241534, 0.175506, 0.113817, 0.000000, 0.000000], [0.372060, -0.077057, 0.453283, 0.636290, 0.349415, -0.263014, -0.194664, -0.127045, 0.000000, 0.000000]]
fourier: [[12.228261, 12.235439, 13.989057, 14.047389, 146.932654], [24.854011, 27.606875, 33.402896, 33.538080, 212.359131], [47.373846, 48.323616, 50.906014, 55.726758, 67.054993], [34.559181, 36.274374, 37.494061, 41.302790, 85.100202], [52.565228, 55.098683, 55.344696, 62.118243, 133.487488], [48.919026, 49.898925, 53.249579, 56.283819, 116.566467], [54.171436, 58.121580, 59.579045, 63.777385, 177.579574], [43.692365, 47.073416, 47.164052, 48.675878, 52.494079]]
### 4
mean: [1.911758, 0.213071, -1.420897, 2.214021, -1.972675, -2.156278, -2.015296, -1.749168]
std: [2.537441, 3.271440, 1.747227, 3.677457, 1.064349, 2.390099, 2.228467, 2.315480]
pca: [[-0.308258, 0.654367, -0.096150, 0.516264, 0.114747, -0.010894, -0.276315, 0.333725, 0.000000, 0.000000], [-0.461283, 0.434554, 0.240896, -0.295308, -0.157842, 0.386127, 0.315816, -0.423551, 0.000000, 0.000000], [-0.246873, -0.225559, 0.211117, 0.086291, 0.497069, 0.122422, 0.595863, 0.468021, 0.000000, 0.000000], [0.539741, 0.152146, 0.444746, 0.093816, 0.421322, 0.478380, -0.231528, -0.137719, 0.000000, 0.000000], [-0.104293, -0.358802, -0.387471, 0.548580, -0.143959, 0.574955, 0.063303, -0.232391, 0.000000, 0.000000], [-0.335124, -0.328689, 0.679816, 0.374191, -0.151116, -0.255626, -0.227982, -0.193211, 0.000000, 0.000000], [-0.319023, -0.241896, 0.040101, -0.415238, -0.089445, 0.427127, -0.533696, 0.436360, 0.000000, 0.000000], [-0.339069, -0.116847, -0.276520, -0.128976, 0.696971, -0.169105, -0.272833, -0.435290, 0.000000, 0.000000]]
fourier: [[35.396921, 38.387061, 40.283206, 50.402074, 172.058213], [49.297216, 50.111769, 52.434190, 54.313886, 55.347228], [28.877003, 29.969011, 33.692818, 35.210560, 127.880722], [59.780912, 61.685387, 65.091613, 68.833826, 199.261863], [15.748294, 16.900133, 20.000717, 25.808282, 177.540703], [39.003222, 40.707674, 46.176024, 49.457743, 194.065045], [37.074887, 37.559230, 41.708490, 44.056811, 181.376651], [37.869676, 40.129115, 40.844088, 43.378969, 157.425100]]
### 6
mean: [2.245706, -0.236751, 1.821775, 0.814722, -2.538837, -1.138532, -1.086840, 1.196798]
std: [3.210619, 2.593554, 3.014955, 4.372475, 1.545405, 1.514380, 1.011115, 2.071707]
pca: [[0.436279, -0.366982, 0.169795, -0.557977, -0.378497, 0.119189, -0.418609, -0.046010, 0.000000, 0.000000], [-0.357137, -0.201443, 0.308612, -0.050117, 0.634981, 0.298495, -0.491645, -0.010303, 0.000000, 0.000000], [0.419022, -0.098499, 0.296233, 0.734616, -0.139162, 0.395542, -0.091372, -0.055996, 0.000000, 0.000000], [0.607648, 0.144258, -0.525734, -0.093918, 0.537606, 0.155974, -0.034029, 0.101147, 0.000000, 0.000000], [-0.137072, 0.622465, 0.031782, -0.259144, -0.195506, 0.682732, 0.055721, -0.134655, 0.000000, 0.000000], [0.165925, 0.488278, 0.161302, 0.068604, 0.064947, -0.454434, -0.406364, -0.572249, 0.000000, 0.000000], [0.089036, 0.408934, 0.267469, 0.018205, -0.055903, -0.196846, -0.274614, 0.797301, 0.000000, 0.000000], [0.288186, 0.033570, 0.642813, -0.255881, 0.315575, -0.067324, 0.574366, -0.055868, 0.000000, 0.000000]]
fourier: [[46.391106, 48.261994, 53.198171, 69.334747, 202.113499], [38.848852, 39.105547, 39.793532, 40.296016, 49.296781], [43.108506, 45.595945, 47.784828, 62.284982, 163.959705], [64.313842, 65.595698, 66.453561, 73.324970, 87.054080], [23.543646, 24.104787, 24.469368, 30.241863, 228.495375], [24.888957, 25.477767, 28.750087, 28.923930, 102.467873], [16.494228, 16.953337, 19.458217, 21.902251, 97.815622], [31.140553, 31.626048, 31.651597, 40.584371, 107.711864]]
### 8
mean: [-3.859381]
std: [4.575264]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[67.422188, 69.377483, 75.864819, 104.055797, 347.344303]]
## 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: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
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0.97079,
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],
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[
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[
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[
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[
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],
[
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],
[
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0.70779
]
],
"network.0.bias": [
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],
"network.2.weight": [
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[
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],
"network.2.bias": [
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"network.4.weight": [
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],
"network.4.bias": [
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"network.6.weight": [
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0.065067,
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]
],
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],
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]
],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [0.776919, -0.230766, -0.143748, 0.930641, -1.578186, 0.718106, 0.740185, 1.972220]
std: [1.948028, 0.947143, 1.355667, 2.380544, 1.261336, 1.584919, 1.954385, 1.856298]
pca: [[0.424680, 0.318116, 0.092186, -0.594823, -0.247655, -0.095627, 0.528325, -0.080818, 0.000000, 0.000000], [-0.206574, 0.018327, -0.296923, -0.115588, 0.336603, 0.761193, 0.338727, -0.219125, 0.000000, 0.000000], [0.286531, -0.131140, -0.341773, -0.331926, 0.728239, -0.313525, -0.159339, 0.140355, 0.000000, 0.000000], [0.546767, 0.164458, 0.021224, 0.704649, 0.224721, 0.000423, 0.355649, -0.005719, 0.000000, 0.000000], [0.037252, -0.632505, -0.052418, -0.015405, -0.162169, 0.090030, 0.381590, 0.644631, 0.000000, 0.000000], [0.332292, 0.005810, 0.659156, -0.157186, 0.186286, 0.465259, -0.356027, 0.228977, 0.000000, 0.000000], [0.432876, 0.104076, -0.586183, 0.004475, -0.415038, 0.297601, -0.423454, 0.134235, 0.000000, 0.000000], [-0.311019, 0.665803, -0.072351, 0.033990, 0.106185, -0.002175, 0.050819, 0.663115, 0.000000, 0.000000]]
fourier: [[33.471463, 36.296284, 37.080583, 37.094585, 69.922669], [14.045846, 15.179949, 15.537892, 18.089046, 20.768957], [19.530989, 21.270353, 22.031441, 23.478485, 26.586131], [35.064211, 36.786258, 38.430413, 47.010810, 83.757711], [18.718959, 24.361488, 25.052765, 25.685505, 142.036690], [25.985763, 26.100309, 27.247477, 28.689077, 64.629577], [29.041397, 32.294532, 32.807195, 41.110160, 66.616626], [29.378965, 29.699017, 32.911614, 33.303596, 177.499846]]
### 2
mean: [1.632585, -2.359546, 0.745055, -0.945558, 1.483194, -1.295183, -1.973106, -0.583268]
std: [0.739266, 1.536011, 3.081981, 2.337755, 3.418804, 3.193569, 3.495562, 2.833316]
pca: [[0.037021, -0.376595, 0.643250, -0.267453, -0.195343, 0.037773, 0.068446, 0.572043, 0.000000, 0.000000], [0.127494, 0.770310, -0.008623, 0.131375, -0.166443, -0.067656, -0.213761, 0.543194, 0.000000, 0.000000], [-0.407253, -0.007853, -0.128017, 0.192595, 0.341255, -0.465419, 0.580193, 0.333029, 0.000000, 0.000000], [-0.289175, 0.489174, 0.596396, -0.194273, 0.010259, 0.031442, 0.278721, -0.452633, 0.000000, 0.000000], [-0.451712, -0.020045, 0.061355, 0.370365, 0.277885, 0.730459, -0.107387, 0.179715, 0.000000, 0.000000], [0.421937, 0.026207, -0.051565, 0.336644, -0.366571, 0.339570, 0.674598, -0.022992, 0.000000, 0.000000], [0.460862, 0.135721, -0.046791, -0.425452, 0.695624, 0.241534, 0.175506, 0.113817, 0.000000, 0.000000], [0.372060, -0.077057, 0.453283, 0.636290, 0.349415, -0.263014, -0.194664, -0.127045, 0.000000, 0.000000]]
fourier: [[12.228261, 12.235439, 13.989057, 14.047389, 146.932654], [24.854011, 27.606875, 33.402896, 33.538080, 212.359131], [47.373846, 48.323616, 50.906014, 55.726758, 67.054993], [34.559181, 36.274374, 37.494061, 41.302790, 85.100202], [52.565228, 55.098683, 55.344696, 62.118243, 133.487488], [48.919026, 49.898925, 53.249579, 56.283819, 116.566467], [54.171436, 58.121580, 59.579045, 63.777385, 177.579574], [43.692365, 47.073416, 47.164052, 48.675878, 52.494079]]
### 4
mean: [1.911758, 0.213071, -1.420897, 2.214021, -1.972675, -2.156278, -2.015296, -1.749168]
std: [2.537441, 3.271440, 1.747227, 3.677457, 1.064349, 2.390099, 2.228467, 2.315480]
pca: [[-0.308258, 0.654367, -0.096150, 0.516264, 0.114747, -0.010894, -0.276315, 0.333725, 0.000000, 0.000000], [-0.461283, 0.434554, 0.240896, -0.295308, -0.157842, 0.386127, 0.315816, -0.423551, 0.000000, 0.000000], [-0.246873, -0.225559, 0.211117, 0.086291, 0.497069, 0.122422, 0.595863, 0.468021, 0.000000, 0.000000], [0.539741, 0.152146, 0.444746, 0.093816, 0.421322, 0.478380, -0.231528, -0.137719, 0.000000, 0.000000], [-0.104293, -0.358802, -0.387471, 0.548580, -0.143959, 0.574955, 0.063303, -0.232391, 0.000000, 0.000000], [-0.335124, -0.328689, 0.679816, 0.374191, -0.151116, -0.255626, -0.227982, -0.193211, 0.000000, 0.000000], [-0.319023, -0.241896, 0.040101, -0.415238, -0.089445, 0.427127, -0.533696, 0.436360, 0.000000, 0.000000], [-0.339069, -0.116847, -0.276520, -0.128976, 0.696971, -0.169105, -0.272833, -0.435290, 0.000000, 0.000000]]
fourier: [[35.396921, 38.387061, 40.283206, 50.402074, 172.058213], [49.297216, 50.111769, 52.434190, 54.313886, 55.347228], [28.877003, 29.969011, 33.692818, 35.210560, 127.880722], [59.780912, 61.685387, 65.091613, 68.833826, 199.261863], [15.748294, 16.900133, 20.000717, 25.808282, 177.540703], [39.003222, 40.707674, 46.176024, 49.457743, 194.065045], [37.074887, 37.559230, 41.708490, 44.056811, 181.376651], [37.869676, 40.129115, 40.844088, 43.378969, 157.425100]]
### 6
mean: [2.245706, -0.236751, 1.821775, 0.814722, -2.538837, -1.138532, -1.086840, 1.196798]
std: [3.210619, 2.593554, 3.014955, 4.372475, 1.545405, 1.514380, 1.011115, 2.071707]
pca: [[0.436279, -0.366982, 0.169795, -0.557977, -0.378497, 0.119189, -0.418609, -0.046010, 0.000000, 0.000000], [-0.357137, -0.201443, 0.308612, -0.050117, 0.634981, 0.298495, -0.491645, -0.010303, 0.000000, 0.000000], [0.419022, -0.098499, 0.296233, 0.734616, -0.139162, 0.395542, -0.091372, -0.055996, 0.000000, 0.000000], [0.607648, 0.144258, -0.525734, -0.093918, 0.537606, 0.155974, -0.034029, 0.101147, 0.000000, 0.000000], [-0.137072, 0.622465, 0.031782, -0.259144, -0.195506, 0.682732, 0.055721, -0.134655, 0.000000, 0.000000], [0.165925, 0.488278, 0.161302, 0.068604, 0.064947, -0.454434, -0.406364, -0.572249, 0.000000, 0.000000], [0.089036, 0.408934, 0.267469, 0.018205, -0.055903, -0.196846, -0.274614, 0.797301, 0.000000, 0.000000], [0.288186, 0.033570, 0.642813, -0.255881, 0.315575, -0.067324, 0.574366, -0.055868, 0.000000, 0.000000]]
fourier: [[46.391106, 48.261994, 53.198171, 69.334747, 202.113499], [38.848852, 39.105547, 39.793532, 40.296016, 49.296781], [43.108506, 45.595945, 47.784828, 62.284982, 163.959705], [64.313842, 65.595698, 66.453561, 73.324970, 87.054080], [23.543646, 24.104787, 24.469368, 30.241863, 228.495375], [24.888957, 25.477767, 28.750087, 28.923930, 102.467873], [16.494228, 16.953337, 19.458217, 21.902251, 97.815622], [31.140553, 31.626048, 31.651597, 40.584371, 107.711864]]
### 8
mean: [-3.859381]
std: [4.575264]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[67.422188, 69.377483, 75.864819, 104.055797, 347.344303]]
## 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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31.626047789338294, 31.651597000526387, 40.58437076870654, 107.71186426281929]}}, "layer_info": {"num_neurons": 8, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -3.8593811988830566, "std": 4.575263977050781, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [67.42218841177161, 69.37748277388553, 75.86481899813266, 104.05579741132222, 347.34430272877216]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.97079, -0.022325, 0.016842, 0.089737, -0.368163], [-0.323794, -0.277474, 0.118793, 0.065284, 0.192976], [0.54813, -0.145028, -0.066896, -0.237799, -0.399437], [0.869098, 0.454694, 0.058709, -0.446036, -0.363537], [-0.167939, 0.126225, -0.274935, -0.20398, -0.432945], [0.66091, 0.33739, -0.37738, -0.083686, -0.181058], [0.731643, -0.018701, 0.307024, -0.192972, -0.612973], [-0.310268, -0.295218, 0.391405, 0.345252, 0.70779]], "network.0.bias": [-0.164041, 0.051651, 0.580731, 0.302768, -0.053506, 0.47191, 0.392252, 0.465369], "network.2.weight": [[-0.012856, 0.504931, 0.026717, 0.014415, -0.255472, 0.581257, -0.3995, 0.381545], [0.013643, -0.357545, -0.036504, -0.522664, 0.096087, -0.437806, -0.070618, -0.522815], [0.359103, 0.088261, 0.400397, 0.47063, 0.211805, 0.257139, 0.379887, -0.53929], [0.295801, 0.014452, 0.471196, 0.019677, 0.276446, 0.548358, -0.124768, -0.776811], [0.318924, -0.210534, 0.772739, 0.404197, -0.176615, 0.492535, 0.359316, -0.481072], [-0.127053, 0.070587, -0.306457, -0.493772, 0.053438, -0.679669, -0.390477, 0.460724], [-0.581949, 0.075444, -0.389313, -0.265554, 0.29103, -0.564163, -0.472358, 0.458584], [-0.160596, 0.67788, 0.134079, -0.585596, 0.162725, -0.216896, -0.501106, 0.485328]], "network.2.bias": [0.608682, 0.004785, -0.050685, -0.308861, 0.388711, -0.203128, -0.692196, -0.043084], "network.4.weight": [[0.586301, 0.450134, -0.452172, 0.123182, -0.078828, 0.440331, 0.430742, 0.858036], [0.557131, 0.15608, -0.164397, -0.327291, -0.533312, 0.44928, 0.258784, 0.617314], [-0.213326, 0.47418, -0.152194, -0.408816, -0.290806, -0.058864, 0.273066, -0.199615], [0.314168, 0.173195, 0.39175, 0.371837, 0.66671, 0.264592, -0.07141, -0.581524], [-0.533985, 0.241448, -0.424466, 0.006007, 0.032334, 0.093829, -0.220274, -0.264038], [-0.143367, -0.07237, -0.600734, -0.586122, -0.041772, -0.575167, -0.023263, 0.217658], [-0.24182, -0.231595, -0.116145, -0.519837, -0.419403, 0.009216, -0.170661, 0.057838], [-0.314979, 0.134048, -0.097016, -0.408529, -0.484646, -0.029931, 0.351483, 0.127143]], "network.4.bias": [0.785028, 0.051476, 0.010347, -0.026327, -0.384165, -0.568623, -0.370706, -0.112056], "network.6.weight": [[0.74076, 0.705254, 0.466838, -0.207308, -0.285631, -0.445222, 0.118064, 0.144567], [-0.235896, -0.496167, -0.115193, 0.457899, 0.352071, 0.162321, -0.014942, -0.029743], [0.689028, 0.446231, -0.089618, -0.331106, -0.252555, -0.236106, -0.28286, -0.365329], [0.467164, 0.969715, -0.02725, -0.67181, 0.127723, -0.527202, 0.040398, 0.132342], [-0.364393, -0.585165, -0.002516, -0.206044, -0.653248, 0.092377, 0.053618, -0.017954], [0.116242, -0.178271, 0.591227, -0.414653, -0.519253, -0.099443, 0.214523, -0.18738], [0.095522, -0.283298, 0.221793, -0.295116, 0.116538, 0.350053, -0.110764, -0.203551], [0.638978, 0.012667, 0.06995, -0.266013, 0.065067, -0.050881, -0.074151, -0.307263]], "network.6.bias": [0.196566, -0.132941, 0.491824, 0.092537, -0.53493, -0.232618, -0.274761, 0.371855], "network.8.weight": [[-0.324053, 0.123499, -0.756406, -0.244996, -0.060104, -0.08659, -0.082193, -0.688564]], "network.8.bias": [0.180367]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6900233030319214, "train_acc": 0.51, "val_loss": 0.5926770567893982, "val_acc": 0.64}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6741877794265747, "train_acc": 0.58, "val_loss": 0.4198704659938812, "val_acc": 0.62}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6256233304738998, "train_acc": 0.615, "val_loss": 0.7954200506210327, "val_acc": 0.5}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5623432993888855, "train_acc": 0.67, "val_loss": 0.37323614954948425, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.39220207929611206, "train_acc": 0.855, "val_loss": 0.2662028968334198, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3417840003967285, "train_acc": 0.925, "val_loss": 0.27406948804855347, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.2584593743085861, "train_acc": 0.91, "val_loss": 0.4157811105251312, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.24335676059126854, "train_acc": 0.905, "val_loss": 0.4007304012775421, "val_acc": 0.92}], "summary": {"total_epochs": 8, "degraded_epochs": 2, "improved_epochs": 6, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.5926770567893982, "final_val_loss": 0.4198704659938812, "initial_val_acc": 0.64, "final_val_acc": 0.62, "best_val_acc": 0.62}, "improved_stage": {"initial_val_loss": 0.7954200506210327, "final_val_loss": 0.4007304012775421, "initial_val_acc": 0.5, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 4}, "improvement": 0.30000000000000004, "first_improvement_epoch": 1}}
|
9,428
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.54, "improved_accuracy": 0.9, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1636, "learning_rate": 0.02272314623914792, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "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: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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"network.0.bias": [
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"network.2.weight": [
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"network.8.weight": [
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"network.10.weight": [
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"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [1.240025, 1.025669, -0.768084, 2.054333, -0.194649, -0.745679, 0.032205]
std: [1.358482, 1.250069, 1.361953, 1.875574, 1.704070, 1.302888, 1.119329]
pca: [[0.005999, 0.560228, 0.558049, 0.167534, 0.104428, 0.104273, 0.569951, 0.000000, 0.000000, 0.000000], [0.384877, 0.147648, 0.156988, 0.591027, 0.198508, 0.305194, -0.568826, 0.000000, 0.000000, 0.000000], [0.200106, -0.223835, 0.743455, -0.342784, -0.206736, -0.313488, -0.314028, 0.000000, 0.000000, 0.000000], [0.514832, 0.564812, -0.299057, -0.271329, -0.489244, -0.080815, -0.083601, 0.000000, 0.000000, 0.000000], [0.580099, -0.117753, -0.102105, -0.325942, 0.698829, -0.085610, 0.193041, 0.000000, 0.000000, 0.000000], [0.340538, -0.459314, 0.072393, -0.017989, -0.369968, 0.648685, 0.331409, 0.000000, 0.000000, 0.000000], [0.307016, -0.265321, -0.078158, 0.570032, -0.205793, -0.602542, 0.314473, 0.000000, 0.000000, 0.000000]]
fourier: [[22.402395, 23.949092, 26.228701, 28.728630, 111.602283], [18.472072, 19.323056, 20.165500, 23.154541, 92.310225], [21.584836, 22.977992, 23.405417, 23.718385, 69.127599], [27.440112, 32.981757, 33.824581, 36.449408, 184.890019], [24.906685, 25.221502, 27.039203, 27.400846, 28.996753], [21.148818, 21.839077, 21.936825, 27.780716, 67.111107], [15.883889, 16.781833, 16.826206, 17.371165, 19.682691]]
### 2
mean: [1.549704, -0.650045, -0.555761, 0.466805, 0.746741, 1.255605, 3.530962]
std: [1.571829, 1.181269, 0.230279, 0.576280, 0.974970, 1.729181, 2.573859]
pca: [[0.428426, 0.286202, 0.214498, 0.081172, 0.028831, 0.500133, 0.656488, 0.000000, 0.000000, 0.000000], [-0.277107, 0.563423, -0.151847, -0.001007, 0.187801, 0.577138, -0.462980, 0.000000, 0.000000, 0.000000], [-0.029728, 0.078913, -0.126615, -0.258010, 0.896924, -0.249382, 0.208866, 0.000000, 0.000000, 0.000000], [-0.052927, -0.283398, -0.400095, 0.826375, 0.224374, 0.134210, 0.074538, 0.000000, 0.000000, 0.000000], [0.145074, 0.697038, -0.292823, 0.241900, -0.202040, -0.547153, 0.092921, 0.000000, 0.000000, 0.000000], [0.462370, 0.064188, 0.599764, 0.336903, 0.260630, -0.143619, -0.469381, 0.000000, 0.000000, 0.000000], [0.707916, -0.155304, -0.556205, -0.268189, -0.018319, 0.128732, -0.276657, 0.000000, 0.000000, 0.000000]]
fourier: [[24.246572, 26.604683, 30.353280, 30.392202, 139.473325], [18.455987, 20.053541, 20.074447, 25.967111, 58.504058], [3.574424, 3.999186, 4.027116, 4.124161, 50.018461], [8.929533, 9.390515, 10.850327, 11.675932, 42.012480], [15.271112, 15.850242, 17.289913, 22.003714, 67.206720], [29.333161, 29.510047, 29.730628, 31.147726, 113.004423], [40.681895, 43.140942, 49.219077, 53.075421, 317.786585]]
### 4
mean: [-1.796018, -1.275102, 3.893736, 0.738289, 3.817822, 2.567456, -0.977670]
std: [1.547088, 1.019181, 3.000628, 1.068472, 2.395653, 2.839806, 0.625857]
pca: [[-0.288584, -0.369950, 0.551614, 0.312688, 0.187463, 0.585033, -0.019953, 0.000000, 0.000000, 0.000000], [-0.193307, 0.007241, 0.505932, -0.295012, 0.522425, -0.580819, -0.096448, 0.000000, 0.000000, 0.000000], [0.579452, 0.165446, 0.193092, -0.459440, 0.123379, 0.398626, -0.463000, 0.000000, 0.000000, 0.000000], [-0.154497, 0.727306, 0.479464, 0.011283, -0.415246, 0.065518, 0.201053, 0.000000, 0.000000, 0.000000], [0.459055, 0.337832, -0.009839, 0.606839, 0.516366, -0.033717, 0.197527, 0.000000, 0.000000, 0.000000], [0.543160, -0.428150, 0.371391, -0.063118, -0.320752, -0.199875, 0.486742, 0.000000, 0.000000, 0.000000], [-0.118169, 0.096411, -0.185895, -0.481398, 0.367101, 0.340739, 0.677919, 0.000000, 0.000000, 0.000000]]
fourier: [[25.560912, 25.724863, 28.156389, 28.984235, 161.641657], [16.671104, 17.758709, 18.523177, 18.573131, 114.759221], [44.658522, 49.897780, 58.123816, 60.509275, 350.436240], [17.468728, 17.930173, 18.650080, 18.858928, 66.446050], [37.053792, 39.161364, 45.822065, 48.475103, 343.603932], [45.362017, 47.082020, 56.061428, 56.853264, 231.071052], [9.850784, 10.103438, 12.736007, 13.062223, 87.990285]]
### 6
mean: [-1.794193, 3.615111, 0.862499, 0.758474, 5.518439, 2.265523, -0.038928]
std: [1.290604, 1.575169, 0.694351, 1.038128, 5.021563, 2.171391, 0.345570]
pca: [[-0.218075, -0.134864, 0.486602, 0.073627, 0.774841, 0.158916, -0.257718, 0.000000, 0.000000, 0.000000], [0.234309, 0.678434, 0.239287, -0.506639, 0.201591, 0.001671, 0.360892, 0.000000, 0.000000, 0.000000], [-0.073942, 0.479133, 0.093115, 0.411143, -0.245519, 0.696869, -0.203345, 0.000000, 0.000000, 0.000000], [-0.146519, 0.514273, -0.041178, 0.311723, 0.038137, -0.658119, -0.424987, 0.000000, 0.000000, 0.000000], [0.855363, -0.020858, -0.239823, 0.313700, 0.318796, 0.036668, -0.094981, 0.000000, 0.000000, 0.000000], [0.368481, -0.152860, 0.617199, -0.241911, -0.425007, -0.080370, -0.462936, 0.000000, 0.000000, 0.000000], [0.056419, -0.060758, 0.507094, 0.561034, -0.122417, -0.219526, 0.598368, 0.000000, 0.000000, 0.000000]]
fourier: [[19.673176, 21.337418, 24.483825, 25.936514, 161.477391], [24.379321, 29.054087, 29.827034, 29.983955, 325.360013], [12.319552, 12.453487, 13.517386, 14.230085, 77.624959], [16.834484, 17.438798, 19.471531, 20.298348, 68.262628], [74.208308, 83.765204, 97.465720, 100.566596, 496.659510], [34.714257, 36.179758, 42.805584, 43.037515, 203.897064], [5.576744, 5.819225, 5.935520, 6.698305, 7.374647]]
### 8
mean: [3.782924, 2.073276, 1.028991, 3.556639, 0.987108, -2.466503, -1.955459]
std: [3.809354, 1.938187, 0.412410, 3.503003, 0.858500, 2.202919, 0.796076]
pca: [[0.642309, 0.143125, 0.188595, 0.039617, 0.179597, 0.571642, -0.413264, 0.000000, 0.000000, 0.000000], [-0.273991, 0.780436, -0.161760, -0.210474, 0.332580, 0.261906, 0.257253, 0.000000, 0.000000, 0.000000], [0.008192, 0.296537, 0.898154, 0.103599, -0.081591, -0.264716, 0.133616, 0.000000, 0.000000, 0.000000], [0.590919, 0.106007, -0.226068, 0.347258, -0.058415, -0.139350, 0.667122, 0.000000, 0.000000, 0.000000], [-0.119052, 0.360134, -0.212703, 0.728400, -0.024121, -0.261493, -0.459740, 0.000000, 0.000000, 0.000000], [-0.369881, -0.169549, 0.135985, 0.465469, -0.282565, 0.667039, 0.272953, 0.000000, 0.000000, 0.000000], [-0.110136, -0.335888, 0.129396, 0.274923, 0.875580, -0.042639, 0.119433, 0.000000, 0.000000, 0.000000]]
fourier: [[59.665018, 63.067067, 73.916486, 75.566407, 340.463164], [32.650777, 34.510225, 36.041349, 38.097569, 186.594809], [6.966443, 7.130976, 7.939933, 8.592138, 92.609212], [55.300539, 58.106137, 68.146453, 69.354665, 320.097557], [14.566211, 15.524766, 15.884343, 16.666775, 88.839714], [33.022926, 36.627474, 42.934944, 44.180288, 221.985296], [12.139325, 14.087292, 15.201017, 15.284615, 175.991282]]
### 10
mean: [-3.181478]
std: [5.455064]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[87.721285, 93.694175, 104.328751, 105.344084, 286.333026]]
## 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.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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],
[
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[
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[
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0.385231,
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[
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[
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],
[
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]
],
"network.0.bias": [
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-0.219933,
-0.054933,
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0.021702,
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],
"network.2.weight": [
[
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[
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[
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[
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[
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[
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[
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],
"network.2.bias": [
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"network.4.weight": [
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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],
"network.6.bias": [
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"network.8.weight": [
[
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[
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],
[
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"network.10.weight": [
[
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],
"network.10.bias": [
0.022732
]
}
## Activation Signature
### 0
mean: [1.240025, 1.025669, -0.768084, 2.054333, -0.194649, -0.745679, 0.032205]
std: [1.358482, 1.250069, 1.361953, 1.875574, 1.704070, 1.302888, 1.119329]
pca: [[0.005999, 0.560228, 0.558049, 0.167534, 0.104428, 0.104273, 0.569951, 0.000000, 0.000000, 0.000000], [0.384877, 0.147648, 0.156988, 0.591027, 0.198508, 0.305194, -0.568826, 0.000000, 0.000000, 0.000000], [0.200106, -0.223835, 0.743455, -0.342784, -0.206736, -0.313488, -0.314028, 0.000000, 0.000000, 0.000000], [0.514832, 0.564812, -0.299057, -0.271329, -0.489244, -0.080815, -0.083601, 0.000000, 0.000000, 0.000000], [0.580099, -0.117753, -0.102105, -0.325942, 0.698829, -0.085610, 0.193041, 0.000000, 0.000000, 0.000000], [0.340538, -0.459314, 0.072393, -0.017989, -0.369968, 0.648685, 0.331409, 0.000000, 0.000000, 0.000000], [0.307016, -0.265321, -0.078158, 0.570032, -0.205793, -0.602542, 0.314473, 0.000000, 0.000000, 0.000000]]
fourier: [[22.402395, 23.949092, 26.228701, 28.728630, 111.602283], [18.472072, 19.323056, 20.165500, 23.154541, 92.310225], [21.584836, 22.977992, 23.405417, 23.718385, 69.127599], [27.440112, 32.981757, 33.824581, 36.449408, 184.890019], [24.906685, 25.221502, 27.039203, 27.400846, 28.996753], [21.148818, 21.839077, 21.936825, 27.780716, 67.111107], [15.883889, 16.781833, 16.826206, 17.371165, 19.682691]]
### 2
mean: [1.549704, -0.650045, -0.555761, 0.466805, 0.746741, 1.255605, 3.530962]
std: [1.571829, 1.181269, 0.230279, 0.576280, 0.974970, 1.729181, 2.573859]
pca: [[0.428426, 0.286202, 0.214498, 0.081172, 0.028831, 0.500133, 0.656488, 0.000000, 0.000000, 0.000000], [-0.277107, 0.563423, -0.151847, -0.001007, 0.187801, 0.577138, -0.462980, 0.000000, 0.000000, 0.000000], [-0.029728, 0.078913, -0.126615, -0.258010, 0.896924, -0.249382, 0.208866, 0.000000, 0.000000, 0.000000], [-0.052927, -0.283398, -0.400095, 0.826375, 0.224374, 0.134210, 0.074538, 0.000000, 0.000000, 0.000000], [0.145074, 0.697038, -0.292823, 0.241900, -0.202040, -0.547153, 0.092921, 0.000000, 0.000000, 0.000000], [0.462370, 0.064188, 0.599764, 0.336903, 0.260630, -0.143619, -0.469381, 0.000000, 0.000000, 0.000000], [0.707916, -0.155304, -0.556205, -0.268189, -0.018319, 0.128732, -0.276657, 0.000000, 0.000000, 0.000000]]
fourier: [[24.246572, 26.604683, 30.353280, 30.392202, 139.473325], [18.455987, 20.053541, 20.074447, 25.967111, 58.504058], [3.574424, 3.999186, 4.027116, 4.124161, 50.018461], [8.929533, 9.390515, 10.850327, 11.675932, 42.012480], [15.271112, 15.850242, 17.289913, 22.003714, 67.206720], [29.333161, 29.510047, 29.730628, 31.147726, 113.004423], [40.681895, 43.140942, 49.219077, 53.075421, 317.786585]]
### 4
mean: [-1.796018, -1.275102, 3.893736, 0.738289, 3.817822, 2.567456, -0.977670]
std: [1.547088, 1.019181, 3.000628, 1.068472, 2.395653, 2.839806, 0.625857]
pca: [[-0.288584, -0.369950, 0.551614, 0.312688, 0.187463, 0.585033, -0.019953, 0.000000, 0.000000, 0.000000], [-0.193307, 0.007241, 0.505932, -0.295012, 0.522425, -0.580819, -0.096448, 0.000000, 0.000000, 0.000000], [0.579452, 0.165446, 0.193092, -0.459440, 0.123379, 0.398626, -0.463000, 0.000000, 0.000000, 0.000000], [-0.154497, 0.727306, 0.479464, 0.011283, -0.415246, 0.065518, 0.201053, 0.000000, 0.000000, 0.000000], [0.459055, 0.337832, -0.009839, 0.606839, 0.516366, -0.033717, 0.197527, 0.000000, 0.000000, 0.000000], [0.543160, -0.428150, 0.371391, -0.063118, -0.320752, -0.199875, 0.486742, 0.000000, 0.000000, 0.000000], [-0.118169, 0.096411, -0.185895, -0.481398, 0.367101, 0.340739, 0.677919, 0.000000, 0.000000, 0.000000]]
fourier: [[25.560912, 25.724863, 28.156389, 28.984235, 161.641657], [16.671104, 17.758709, 18.523177, 18.573131, 114.759221], [44.658522, 49.897780, 58.123816, 60.509275, 350.436240], [17.468728, 17.930173, 18.650080, 18.858928, 66.446050], [37.053792, 39.161364, 45.822065, 48.475103, 343.603932], [45.362017, 47.082020, 56.061428, 56.853264, 231.071052], [9.850784, 10.103438, 12.736007, 13.062223, 87.990285]]
### 6
mean: [-1.794193, 3.615111, 0.862499, 0.758474, 5.518439, 2.265523, -0.038928]
std: [1.290604, 1.575169, 0.694351, 1.038128, 5.021563, 2.171391, 0.345570]
pca: [[-0.218075, -0.134864, 0.486602, 0.073627, 0.774841, 0.158916, -0.257718, 0.000000, 0.000000, 0.000000], [0.234309, 0.678434, 0.239287, -0.506639, 0.201591, 0.001671, 0.360892, 0.000000, 0.000000, 0.000000], [-0.073942, 0.479133, 0.093115, 0.411143, -0.245519, 0.696869, -0.203345, 0.000000, 0.000000, 0.000000], [-0.146519, 0.514273, -0.041178, 0.311723, 0.038137, -0.658119, -0.424987, 0.000000, 0.000000, 0.000000], [0.855363, -0.020858, -0.239823, 0.313700, 0.318796, 0.036668, -0.094981, 0.000000, 0.000000, 0.000000], [0.368481, -0.152860, 0.617199, -0.241911, -0.425007, -0.080370, -0.462936, 0.000000, 0.000000, 0.000000], [0.056419, -0.060758, 0.507094, 0.561034, -0.122417, -0.219526, 0.598368, 0.000000, 0.000000, 0.000000]]
fourier: [[19.673176, 21.337418, 24.483825, 25.936514, 161.477391], [24.379321, 29.054087, 29.827034, 29.983955, 325.360013], [12.319552, 12.453487, 13.517386, 14.230085, 77.624959], [16.834484, 17.438798, 19.471531, 20.298348, 68.262628], [74.208308, 83.765204, 97.465720, 100.566596, 496.659510], [34.714257, 36.179758, 42.805584, 43.037515, 203.897064], [5.576744, 5.819225, 5.935520, 6.698305, 7.374647]]
### 8
mean: [3.782924, 2.073276, 1.028991, 3.556639, 0.987108, -2.466503, -1.955459]
std: [3.809354, 1.938187, 0.412410, 3.503003, 0.858500, 2.202919, 0.796076]
pca: [[0.642309, 0.143125, 0.188595, 0.039617, 0.179597, 0.571642, -0.413264, 0.000000, 0.000000, 0.000000], [-0.273991, 0.780436, -0.161760, -0.210474, 0.332580, 0.261906, 0.257253, 0.000000, 0.000000, 0.000000], [0.008192, 0.296537, 0.898154, 0.103599, -0.081591, -0.264716, 0.133616, 0.000000, 0.000000, 0.000000], [0.590919, 0.106007, -0.226068, 0.347258, -0.058415, -0.139350, 0.667122, 0.000000, 0.000000, 0.000000], [-0.119052, 0.360134, -0.212703, 0.728400, -0.024121, -0.261493, -0.459740, 0.000000, 0.000000, 0.000000], [-0.369881, -0.169549, 0.135985, 0.465469, -0.282565, 0.667039, 0.272953, 0.000000, 0.000000, 0.000000], [-0.110136, -0.335888, 0.129396, 0.274923, 0.875580, -0.042639, 0.119433, 0.000000, 0.000000, 0.000000]]
fourier: [[59.665018, 63.067067, 73.916486, 75.566407, 340.463164], [32.650777, 34.510225, 36.041349, 38.097569, 186.594809], [6.966443, 7.130976, 7.939933, 8.592138, 92.609212], [55.300539, 58.106137, 68.146453, 69.354665, 320.097557], [14.566211, 15.524766, 15.884343, 16.666775, 88.839714], [33.022926, 36.627474, 42.934944, 44.180288, 221.985296], [12.139325, 14.087292, 15.201017, 15.284615, 175.991282]]
### 10
mean: [-3.181478]
std: [5.455064]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[87.721285, 93.694175, 104.328751, 105.344084, 286.333026]]
## 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.
palindrome
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.493936, 0.127386, -0.039826, 0.084093, 0.342205], [-0.051346, -0.256322, 0.020893, 0.303919, 0.522185], [0.119286, 0.109023, -0.695326, 0.020063, 0.416898], [-0.515938, 0.379412, 0.385231, 0.179496, 0.705668], [-0.615732, 0.018582, -0.08065, -0.033041, 0.764914], [-0.367178, -0.130562, -0.355652, 0.162731, 0.260606], [-0.241204, -0.358596, -0.057645, 0.313866, 0.184047]], "network.0.bias": [-0.125969, 0.217232, -0.219933, -0.054933, -0.166335, 0.021702, 0.206167], "network.2.weight": [[0.540302, 0.437431, 0.186435, -0.105678, 0.549936, 0.266137, 0.390772], [0.207775, -0.065897, -0.264663, -0.294521, -0.503303, 0.362119, -0.579788], [0.06339, -0.064846, -0.359549, -0.016175, 0.136085, 0.159138, -0.29797], [-0.419393, 0.558421, 0.024592, 0.192309, -0.472519, -0.148592, -0.666922], [0.664633, 0.367578, -0.187688, -0.149464, -0.12057, 0.147011, -0.061856], [0.336039, 0.539769, 0.01049, -0.21271, 0.77944, 0.473055, 0.571517], [0.522608, 0.434364, 0.158301, 0.607086, 0.681487, 0.13838, 0.34419]], "network.2.bias": [0.095809, 0.262355, -0.428368, 0.508884, -0.086227, -0.016999, 0.567823], "network.4.weight": [[-0.063302, 0.102368, -0.092872, -0.28706, 0.259435, -0.453009, -0.334544], [-0.00398, -0.092454, 0.16352, -0.22042, -0.009858, -0.581344, -0.029071], [0.586478, 0.28366, 0.48063, 0.168939, 0.017881, 0.360711, 0.610896], [-0.42458, -0.200477, 0.129225, 0.749587, -0.236493, -0.376203, 0.279514], [0.643475, -0.276536, 0.354497, 0.730112, -0.047859, 0.353514, 0.368242], [0.420519, 0.433739, 0.274156, -0.376818, 0.514638, 0.582807, 0.35732], [0.034573, 0.012105, -0.034129, -0.089005, -0.266956, -0.25957, -0.043487]], "network.4.bias": [0.024033, -0.263534, 0.212365, 0.682843, 0.711137, -0.345164, -0.281511], "network.6.weight": [[-0.253955, 0.344041, -0.300548, 0.157445, -0.292357, 0.133593, -0.12415], [0.281796, 0.256499, 0.63208, 0.630123, 0.279934, -0.3146, -0.150095], [-0.06946, -0.067057, -0.136285, 0.598286, 0.377764, -0.229555, -0.314631], [0.135319, -0.230856, -0.143211, 0.611118, 0.373117, -0.367445, 0.286175], [0.067246, -0.09227, 0.671617, -0.504478, 0.531385, 0.54546, 0.25656], [-0.010196, 0.096995, 0.393027, -0.125773, -0.195583, 0.494428, 0.260361], [0.17317, -0.225312, -0.247687, 0.147711, 0.031391, 0.377265, -0.136575]], "network.6.bias": [0.003882, 0.316379, -0.007562, 0.276206, -0.066026, 0.324914, -0.300856], "network.8.weight": [[-0.101747, 0.22372, -0.317788, -0.412533, 0.536325, 0.192958, 0.14551], [0.262138, 0.712069, 0.549621, 0.584562, -0.1712, -0.520499, 0.255965], [-0.053759, 0.428551, 0.174574, -0.111209, 0.013827, -0.224013, -0.275762], [-0.287658, 0.127088, -0.32763, -0.248276, 0.443601, 0.362217, 0.173059], [0.07762, 0.425593, 0.043898, 0.389225, -0.201826, 0.004387, 0.002923], [0.16451, -0.060939, -0.102086, 0.217738, -0.378345, -0.037887, -0.282968], [-0.150378, -0.146729, -0.277574, -0.186821, -0.182954, 0.09527, -0.007053]], "network.8.bias": [0.226483, 0.559692, -0.105909, 0.329425, 0.149009, -0.151945, -0.210404], "network.10.weight": [[-0.655785, 0.487533, 0.120146, -0.611039, 0.245172, -0.190699, 0.305709]], "network.10.bias": [0.022732]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6856520175933838, "train_acc": 0.555, "val_loss": 0.6868835687637329, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6839862763881683, "train_acc": 0.555, "val_loss": 0.6800504922866821, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.677301675081253, "train_acc": 0.555, "val_loss": 0.6587462425231934, "val_acc": 0.54}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6548818945884705, "train_acc": 0.555, "val_loss": 0.6197348833084106, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6258671879768372, "train_acc": 0.53, "val_loss": 0.5420820116996765, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5426047444343567, "train_acc": 0.815, "val_loss": 0.4443679749965668, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.4382312446832657, "train_acc": 0.87, "val_loss": 0.3636537790298462, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.3438039571046829, "train_acc": 0.87, "val_loss": 0.324070006608963, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.3097018748521805, "train_acc": 0.88, "val_loss": 0.3512323796749115, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.29736022651195526, "train_acc": 0.875, "val_loss": 0.33207160234451294, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.26892630755901337, "train_acc": 0.88, "val_loss": 0.3073347806930542, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.2708151340484619, "train_acc": 0.895, "val_loss": 0.27763116359710693, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.24418547749519348, "train_acc": 0.905, "val_loss": 0.25807371735572815, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.218246191740036, "train_acc": 0.905, "val_loss": 0.28316402435302734, "val_acc": 0.86}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6868835687637329, "final_val_loss": 0.6197348833084106, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.5420820116996765, "final_val_loss": 0.28316402435302734, "initial_val_acc": 0.86, "final_val_acc": 0.86, "best_val_acc": 0.9, "best_epoch": 11}, "improvement": 0.36, "first_improvement_epoch": 3}}
|
9,429
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.58, "improved_accuracy": 0.92, "improvement": 0.3400000000000001, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9083, "learning_rate": 0.09414661655731628, "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: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
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[
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[
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[
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[
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[
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"network.2.weight": [
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[
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[
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0.159
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[
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[
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[
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"network.4.weight": [
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"network.8.weight": [
[
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"network.10.weight": [
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"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [0.248856, 2.120430, 2.102458, -3.541626, 0.988839, -3.692464, 0.798137]
std: [2.316518, 3.478154, 2.572572, 2.560299, 2.519016, 1.942259, 1.056201]
pca: [[0.308883, 0.599619, 0.104384, 0.213513, -0.062018, 0.609552, -0.336399, 0.000000, 0.000000, 0.000000], [0.604195, 0.364233, 0.148789, -0.117343, 0.287345, -0.330378, 0.524080, 0.000000, 0.000000, 0.000000], [0.432557, -0.293914, 0.091372, 0.634770, -0.051061, -0.392833, -0.397871, 0.000000, 0.000000, 0.000000], [-0.404517, -0.002972, 0.597054, 0.500526, 0.329749, 0.139436, 0.318088, 0.000000, 0.000000, 0.000000], [0.337135, -0.460506, 0.599240, -0.341723, -0.330715, 0.293940, 0.051361, 0.000000, 0.000000, 0.000000], [-0.245291, 0.375524, 0.492897, -0.323694, -0.044047, -0.479188, -0.468538, 0.000000, 0.000000, 0.000000], [0.122363, -0.261369, -0.010351, -0.256185, 0.831224, 0.171796, -0.361288, 0.000000, 0.000000, 0.000000]]
fourier: [[33.176357, 33.956701, 34.157384, 37.466044, 44.469493], [52.938618, 55.070309, 56.866479, 59.086071, 190.838710], [42.029655, 48.269734, 50.250741, 50.577328, 189.221207], [39.616430, 43.376548, 49.044232, 55.068092, 318.746365], [42.349545, 42.788941, 43.563060, 53.571031, 88.995512], [28.729598, 30.881542, 34.032338, 36.264279, 332.321753], [14.385475, 15.550103, 18.251267, 24.195532, 71.832291]]
### 2
mean: [3.492447, -2.939388, -2.473672, 3.632279, -2.078272, 3.926913, 2.818039]
std: [4.816157, 2.808019, 2.452116, 5.014682, 2.553778, 5.350466, 3.823806]
pca: [[0.458101, 0.098195, 0.352114, 0.607778, 0.309800, -0.216908, -0.379603, 0.000000, 0.000000, 0.000000], [-0.266179, -0.198828, 0.104144, -0.342251, 0.825462, -0.283051, 0.011383, 0.000000, 0.000000, 0.000000], [-0.226519, -0.309014, 0.776033, -0.188767, -0.392288, -0.205733, -0.138288, 0.000000, 0.000000, 0.000000], [0.477186, 0.163304, -0.213396, -0.551112, -0.180284, -0.514049, -0.315617, 0.000000, 0.000000, 0.000000], [-0.220076, 0.881952, 0.312978, -0.188359, 0.081980, 0.166331, -0.076848, 0.000000, 0.000000, 0.000000], [0.509270, -0.189204, 0.241058, -0.372323, 0.171060, 0.689284, -0.061138, 0.000000, 0.000000, 0.000000], [0.363985, 0.122592, 0.247671, -0.003133, 0.016196, -0.251955, 0.852872, 0.000000, 0.000000, 0.000000]]
fourier: [[80.733513, 84.241090, 84.503079, 90.945614, 314.320188], [48.012944, 49.132826, 49.174063, 51.403445, 264.544895], [42.279779, 42.502580, 42.531080, 45.934979, 222.630503], [84.808086, 87.765637, 92.328667, 95.724141, 326.905112], [36.655480, 41.588577, 41.805454, 49.815598, 187.044490], [88.594515, 96.129609, 96.742469, 103.400560, 353.422103], [64.140430, 66.243942, 69.403219, 73.516735, 253.623556]]
### 4
mean: [-3.622182, 1.450693, 1.484931, -9.006815, -2.132923, 7.881134, 6.609086]
std: [4.271238, 0.761645, 1.562098, 11.649944, 2.428360, 10.908620, 8.765991]
pca: [[0.225417, 0.651248, -0.089783, 0.311833, 0.476028, 0.378483, 0.223405, 0.000000, 0.000000, 0.000000], [-0.040071, -0.180870, -0.258546, -0.386295, -0.008664, 0.094979, 0.860531, 0.000000, 0.000000, 0.000000], [-0.082180, 0.354608, 0.842639, -0.329056, -0.094733, -0.079684, 0.184004, 0.000000, 0.000000, 0.000000], [0.615134, -0.479245, 0.279987, -0.203585, 0.266074, 0.431114, -0.124258, 0.000000, 0.000000, 0.000000], [0.128137, -0.299278, 0.257201, 0.515933, 0.364511, -0.572019, 0.318748, 0.000000, 0.000000, 0.000000], [-0.576008, -0.133899, 0.005527, -0.304465, 0.722797, 0.026078, -0.185581, 0.000000, 0.000000, 0.000000], [-0.462854, -0.283271, 0.265475, 0.494900, -0.195573, 0.572393, 0.155686, 0.000000, 0.000000, 0.000000]]
fourier: [[71.547210, 75.837557, 76.605092, 80.284414, 325.996371], [12.686070, 13.072798, 13.717548, 14.167036, 130.562356], [26.159580, 27.270086, 29.672275, 30.975510, 133.643760], [196.931524, 203.093921, 209.736497, 219.396579, 810.613392], [40.969252, 42.280881, 43.647164, 46.256685, 191.963062], [183.411007, 191.617777, 195.883656, 205.363302, 709.302006], [147.406636, 153.643918, 158.059051, 164.761092, 594.817813]]
### 6
mean: [10.809287, 5.835268, -4.658501, -4.064491, -1.023407, -3.494068, 0.415901]
std: [15.646593, 8.807140, 6.911995, 4.937793, 2.751154, 4.456425, 1.813304]
pca: [[0.758765, -0.087013, 0.166406, -0.122742, 0.558345, -0.163852, 0.188018, 0.000000, 0.000000, 0.000000], [0.427090, 0.166181, -0.386211, 0.392579, -0.340497, 0.477082, 0.378359, 0.000000, 0.000000, 0.000000], [-0.335184, 0.229755, -0.458791, -0.357889, 0.299423, -0.137078, 0.622774, 0.000000, 0.000000, 0.000000], [-0.239446, 0.211585, -0.100323, 0.695411, 0.612023, 0.053775, -0.163624, 0.000000, 0.000000, 0.000000], [-0.133402, -0.240612, 0.078335, -0.329657, 0.322072, 0.835721, -0.085666, 0.000000, 0.000000, 0.000000], [-0.216102, -0.054936, 0.714439, 0.239422, -0.062493, 0.063980, 0.611995, 0.000000, 0.000000, 0.000000], [0.087699, 0.897967, 0.293321, -0.230518, -0.021226, 0.146082, -0.158105, 0.000000, 0.000000, 0.000000]]
fourier: [[264.591628, 274.079199, 281.140542, 293.108717, 972.835906], [148.959830, 154.148788, 158.825553, 165.437643, 525.174171], [117.016766, 121.019274, 123.780141, 128.968422, 419.265101], [83.221487, 86.689545, 88.444762, 92.433533, 365.804175], [46.741897, 48.046244, 49.803573, 51.778592, 92.106610], [75.005152, 78.131410, 80.621888, 84.117201, 314.466186], [31.397131, 31.477152, 33.289821, 34.587493, 37.431070]]
### 8
mean: [-0.829979, -2.308457, 14.829607, -3.430113, -0.706950, 9.937852, -1.555632]
std: [0.371996, 2.589369, 21.453474, 4.643569, 2.993711, 14.877664, 1.832649]
pca: [[-0.013212, -0.360608, -0.341371, 0.628833, 0.196893, -0.097494, 0.556372, 0.000000, 0.000000, 0.000000], [-0.096348, 0.005254, 0.089462, 0.660321, -0.306644, 0.446087, -0.503625, 0.000000, 0.000000, 0.000000], [0.798285, 0.209676, -0.305031, 0.078675, 0.387437, 0.111373, -0.238814, 0.000000, 0.000000, 0.000000], [-0.172757, 0.267171, 0.593298, 0.167217, 0.671132, 0.217801, 0.144756, 0.000000, 0.000000, 0.000000], [-0.111001, 0.844905, -0.259872, 0.121722, -0.258399, 0.054310, 0.348919, 0.000000, 0.000000, 0.000000], [0.553599, -0.080066, 0.550083, 0.050959, -0.446182, 0.097975, 0.416235, 0.000000, 0.000000, 0.000000], [-0.068159, -0.185242, -0.245540, -0.342025, 0.028786, 0.848004, 0.252644, 0.000000, 0.000000, 0.000000]]
fourier: [[6.028560, 6.481279, 6.534994, 6.559389, 74.698138], [43.956024, 45.234260, 46.010671, 47.913269, 207.761104], [366.470813, 373.297629, 381.502171, 396.003439, 1334.664702], [79.080423, 80.669847, 83.168920, 86.246903, 308.710142], [50.397186, 52.127116, 55.600094, 57.384138, 63.625453], [253.979037, 259.167994, 265.533740, 275.541531, 894.406692], [31.516394, 31.876802, 32.274898, 33.471611, 140.006877]]
### 10
mean: [-15.082333]
std: [24.577026]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[421.048592, 425.236812, 441.639995, 457.645088, 1357.409945]]
## 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: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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0.320842,
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],
[
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[
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0.411868,
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],
[
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[
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[
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],
[
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-0.069868,
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]
],
"network.0.bias": [
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-0.132731,
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-0.527475
],
"network.2.weight": [
[
0.505685,
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[
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[
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[
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[
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[
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],
[
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0.263193
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],
"network.2.bias": [
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],
"network.4.weight": [
[
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[
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[
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[
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[
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[
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"network.6.weight": [
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[
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[
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[
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]
],
"network.6.bias": [
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0.118784,
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],
"network.8.weight": [
[
-0.073561,
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0.02142,
0.026404,
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0.279011,
-0.125791
],
[
-0.156111,
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0.126138,
0.340669,
-0.119485,
0.197879,
0.09039
],
[
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],
[
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]
],
"network.8.bias": [
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],
"network.10.weight": [
[
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0.120716,
1.28515,
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],
"network.10.bias": [
0.661674
]
}
## Activation Signature
### 0
mean: [0.248856, 2.120430, 2.102458, -3.541626, 0.988839, -3.692464, 0.798137]
std: [2.316518, 3.478154, 2.572572, 2.560299, 2.519016, 1.942259, 1.056201]
pca: [[0.308883, 0.599619, 0.104384, 0.213513, -0.062018, 0.609552, -0.336399, 0.000000, 0.000000, 0.000000], [0.604195, 0.364233, 0.148789, -0.117343, 0.287345, -0.330378, 0.524080, 0.000000, 0.000000, 0.000000], [0.432557, -0.293914, 0.091372, 0.634770, -0.051061, -0.392833, -0.397871, 0.000000, 0.000000, 0.000000], [-0.404517, -0.002972, 0.597054, 0.500526, 0.329749, 0.139436, 0.318088, 0.000000, 0.000000, 0.000000], [0.337135, -0.460506, 0.599240, -0.341723, -0.330715, 0.293940, 0.051361, 0.000000, 0.000000, 0.000000], [-0.245291, 0.375524, 0.492897, -0.323694, -0.044047, -0.479188, -0.468538, 0.000000, 0.000000, 0.000000], [0.122363, -0.261369, -0.010351, -0.256185, 0.831224, 0.171796, -0.361288, 0.000000, 0.000000, 0.000000]]
fourier: [[33.176357, 33.956701, 34.157384, 37.466044, 44.469493], [52.938618, 55.070309, 56.866479, 59.086071, 190.838710], [42.029655, 48.269734, 50.250741, 50.577328, 189.221207], [39.616430, 43.376548, 49.044232, 55.068092, 318.746365], [42.349545, 42.788941, 43.563060, 53.571031, 88.995512], [28.729598, 30.881542, 34.032338, 36.264279, 332.321753], [14.385475, 15.550103, 18.251267, 24.195532, 71.832291]]
### 2
mean: [3.492447, -2.939388, -2.473672, 3.632279, -2.078272, 3.926913, 2.818039]
std: [4.816157, 2.808019, 2.452116, 5.014682, 2.553778, 5.350466, 3.823806]
pca: [[0.458101, 0.098195, 0.352114, 0.607778, 0.309800, -0.216908, -0.379603, 0.000000, 0.000000, 0.000000], [-0.266179, -0.198828, 0.104144, -0.342251, 0.825462, -0.283051, 0.011383, 0.000000, 0.000000, 0.000000], [-0.226519, -0.309014, 0.776033, -0.188767, -0.392288, -0.205733, -0.138288, 0.000000, 0.000000, 0.000000], [0.477186, 0.163304, -0.213396, -0.551112, -0.180284, -0.514049, -0.315617, 0.000000, 0.000000, 0.000000], [-0.220076, 0.881952, 0.312978, -0.188359, 0.081980, 0.166331, -0.076848, 0.000000, 0.000000, 0.000000], [0.509270, -0.189204, 0.241058, -0.372323, 0.171060, 0.689284, -0.061138, 0.000000, 0.000000, 0.000000], [0.363985, 0.122592, 0.247671, -0.003133, 0.016196, -0.251955, 0.852872, 0.000000, 0.000000, 0.000000]]
fourier: [[80.733513, 84.241090, 84.503079, 90.945614, 314.320188], [48.012944, 49.132826, 49.174063, 51.403445, 264.544895], [42.279779, 42.502580, 42.531080, 45.934979, 222.630503], [84.808086, 87.765637, 92.328667, 95.724141, 326.905112], [36.655480, 41.588577, 41.805454, 49.815598, 187.044490], [88.594515, 96.129609, 96.742469, 103.400560, 353.422103], [64.140430, 66.243942, 69.403219, 73.516735, 253.623556]]
### 4
mean: [-3.622182, 1.450693, 1.484931, -9.006815, -2.132923, 7.881134, 6.609086]
std: [4.271238, 0.761645, 1.562098, 11.649944, 2.428360, 10.908620, 8.765991]
pca: [[0.225417, 0.651248, -0.089783, 0.311833, 0.476028, 0.378483, 0.223405, 0.000000, 0.000000, 0.000000], [-0.040071, -0.180870, -0.258546, -0.386295, -0.008664, 0.094979, 0.860531, 0.000000, 0.000000, 0.000000], [-0.082180, 0.354608, 0.842639, -0.329056, -0.094733, -0.079684, 0.184004, 0.000000, 0.000000, 0.000000], [0.615134, -0.479245, 0.279987, -0.203585, 0.266074, 0.431114, -0.124258, 0.000000, 0.000000, 0.000000], [0.128137, -0.299278, 0.257201, 0.515933, 0.364511, -0.572019, 0.318748, 0.000000, 0.000000, 0.000000], [-0.576008, -0.133899, 0.005527, -0.304465, 0.722797, 0.026078, -0.185581, 0.000000, 0.000000, 0.000000], [-0.462854, -0.283271, 0.265475, 0.494900, -0.195573, 0.572393, 0.155686, 0.000000, 0.000000, 0.000000]]
fourier: [[71.547210, 75.837557, 76.605092, 80.284414, 325.996371], [12.686070, 13.072798, 13.717548, 14.167036, 130.562356], [26.159580, 27.270086, 29.672275, 30.975510, 133.643760], [196.931524, 203.093921, 209.736497, 219.396579, 810.613392], [40.969252, 42.280881, 43.647164, 46.256685, 191.963062], [183.411007, 191.617777, 195.883656, 205.363302, 709.302006], [147.406636, 153.643918, 158.059051, 164.761092, 594.817813]]
### 6
mean: [10.809287, 5.835268, -4.658501, -4.064491, -1.023407, -3.494068, 0.415901]
std: [15.646593, 8.807140, 6.911995, 4.937793, 2.751154, 4.456425, 1.813304]
pca: [[0.758765, -0.087013, 0.166406, -0.122742, 0.558345, -0.163852, 0.188018, 0.000000, 0.000000, 0.000000], [0.427090, 0.166181, -0.386211, 0.392579, -0.340497, 0.477082, 0.378359, 0.000000, 0.000000, 0.000000], [-0.335184, 0.229755, -0.458791, -0.357889, 0.299423, -0.137078, 0.622774, 0.000000, 0.000000, 0.000000], [-0.239446, 0.211585, -0.100323, 0.695411, 0.612023, 0.053775, -0.163624, 0.000000, 0.000000, 0.000000], [-0.133402, -0.240612, 0.078335, -0.329657, 0.322072, 0.835721, -0.085666, 0.000000, 0.000000, 0.000000], [-0.216102, -0.054936, 0.714439, 0.239422, -0.062493, 0.063980, 0.611995, 0.000000, 0.000000, 0.000000], [0.087699, 0.897967, 0.293321, -0.230518, -0.021226, 0.146082, -0.158105, 0.000000, 0.000000, 0.000000]]
fourier: [[264.591628, 274.079199, 281.140542, 293.108717, 972.835906], [148.959830, 154.148788, 158.825553, 165.437643, 525.174171], [117.016766, 121.019274, 123.780141, 128.968422, 419.265101], [83.221487, 86.689545, 88.444762, 92.433533, 365.804175], [46.741897, 48.046244, 49.803573, 51.778592, 92.106610], [75.005152, 78.131410, 80.621888, 84.117201, 314.466186], [31.397131, 31.477152, 33.289821, 34.587493, 37.431070]]
### 8
mean: [-0.829979, -2.308457, 14.829607, -3.430113, -0.706950, 9.937852, -1.555632]
std: [0.371996, 2.589369, 21.453474, 4.643569, 2.993711, 14.877664, 1.832649]
pca: [[-0.013212, -0.360608, -0.341371, 0.628833, 0.196893, -0.097494, 0.556372, 0.000000, 0.000000, 0.000000], [-0.096348, 0.005254, 0.089462, 0.660321, -0.306644, 0.446087, -0.503625, 0.000000, 0.000000, 0.000000], [0.798285, 0.209676, -0.305031, 0.078675, 0.387437, 0.111373, -0.238814, 0.000000, 0.000000, 0.000000], [-0.172757, 0.267171, 0.593298, 0.167217, 0.671132, 0.217801, 0.144756, 0.000000, 0.000000, 0.000000], [-0.111001, 0.844905, -0.259872, 0.121722, -0.258399, 0.054310, 0.348919, 0.000000, 0.000000, 0.000000], [0.553599, -0.080066, 0.550083, 0.050959, -0.446182, 0.097975, 0.416235, 0.000000, 0.000000, 0.000000], [-0.068159, -0.185242, -0.245540, -0.342025, 0.028786, 0.848004, 0.252644, 0.000000, 0.000000, 0.000000]]
fourier: [[6.028560, 6.481279, 6.534994, 6.559389, 74.698138], [43.956024, 45.234260, 46.010671, 47.913269, 207.761104], [366.470813, 373.297629, 381.502171, 396.003439, 1334.664702], [79.080423, 80.669847, 83.168920, 86.246903, 308.710142], [50.397186, 52.127116, 55.600094, 57.384138, 63.625453], [253.979037, 259.167994, 265.533740, 275.541531, 894.406692], [31.516394, 31.876802, 32.274898, 33.471611, 140.006877]]
### 10
mean: [-15.082333]
std: [24.577026]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[421.048592, 425.236812, 441.639995, 457.645088, 1357.409945]]
## 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
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.938205, 0.320842, -0.809327, 0.293607, -0.063776], [1.441477, 0.68583, -0.450865, 0.347704, -0.069289], [1.046376, -0.057058, 0.441902, 0.411868, -0.051586], [-0.462721, -0.709358, -0.174029, -0.634941, 0.149731], [0.849929, 0.132717, 0.630937, -0.268201, -0.258375], [-0.239521, -0.060066, -0.618517, -0.57821, -0.045236], [0.089146, 0.231179, 0.351508, -0.069868, 0.169444]], "network.0.bias": [-0.363705, -0.64151, -0.838417, -0.132731, -0.734844, -0.697195, -0.527475], "network.2.weight": [[0.505685, 0.727007, 0.06536, -0.264348, 0.763443, -0.2127, 0.58075], [0.071496, -0.523581, -0.251992, -0.520357, -0.33613, 0.065522, -0.145532], [-0.038686, -0.321037, -0.623138, -0.15783, 0.19389, -0.063728, -0.466061], [0.692613, 0.514973, 0.613494, -0.083868, 0.562418, -0.310422, 0.159], [-0.275403, -0.895006, 0.310478, 0.105871, 0.048882, 0.33876, 0.069844], [0.949063, 0.677724, 0.186752, -0.230555, 0.803804, -0.114309, 0.18179], [0.517537, 0.436951, 0.199816, -0.04462, 0.645836, -0.210217, 0.263193]], "network.2.bias": [-0.599713, -0.531946, -0.133743, -0.663999, -0.45822, -0.450225, -0.413852], "network.4.weight": [[0.0043, -0.373754, -0.243034, -0.315219, 0.214304, -0.455452, -0.088894], [0.056694, -0.607264, 0.105179, -0.043656, -0.178383, 0.130089, 0.004507], [-0.01393, 0.064701, 0.610368, 0.13043, 1.018434, 0.173908, 0.019735], [-0.433068, -0.039275, 0.224866, -0.787067, -0.531241, -0.418054, -0.939421], [-0.07644, 0.547143, -0.070909, 0.051682, -0.229194, -0.13203, -0.431427], [0.577398, 0.404289, 0.504328, 0.860432, 0.542988, 0.663869, 0.121666], [0.197453, 0.097106, -0.088779, 0.83196, 0.167524, 0.456012, 0.356375]], "network.4.bias": [-0.383004, 0.884244, 0.247362, -0.084922, -0.267684, -0.460345, -0.086646], "network.6.weight": [[0.161075, -0.534603, 0.194644, -0.286445, 0.09737, 0.894011, 0.693667], [0.290159, -0.542751, 0.326725, -0.209052, 0.07289, 0.450274, 0.43828], [-0.008572, 0.393764, 0.200591, -0.136175, -0.266717, -0.420587, -0.339309], [-0.097422, -0.343299, -0.013257, -0.173789, -0.09383, -0.210216, -0.272023], [-0.098942, 0.483315, -0.198981, 0.076364, 0.049676, -0.241527, -0.022089], [-0.175752, -0.171013, -0.329352, -0.211198, -0.027799, -0.057645, -0.364458], [-0.292801, -0.974335, 0.642897, -0.576389, 0.198846, 0.612434, -0.580702]], "network.6.bias": [-0.445308, -0.365157, 0.081968, -0.064291, 0.647499, 0.118784, -0.171737], "network.8.weight": [[-0.073561, 0.104309, 0.02142, 0.026404, -0.254267, 0.279011, -0.125791], [-0.156111, -0.038755, 0.126138, 0.340669, -0.119485, 0.197879, 0.09039], [0.930485, 0.77846, 0.235308, -0.171326, -0.193723, 0.188725, 0.197537], [-0.217626, -0.190327, 0.033367, 0.37589, 0.060164, 0.058487, 0.255554], [-0.051121, -0.23086, 0.504265, 0.197478, 0.522863, -0.058511, 0.004919], [0.575577, 0.601675, -0.125429, 0.324066, -0.407465, -0.300289, 0.422128], [-0.09215, -0.007962, -0.160024, -0.317952, 0.071459, 0.05049, -0.218581]], "network.8.bias": [-0.437368, -0.390644, -0.294322, -0.116255, 0.959302, -0.237834, -0.311859], "network.10.weight": [[0.018367, -0.002428, -0.732765, 0.120716, 1.28515, -0.562433, -0.082673]], "network.10.bias": [0.661674]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6807265877723694, "train_acc": 0.56, "val_loss": 0.6819354295730591, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.641090989112854, "train_acc": 0.56, "val_loss": 0.5715932846069336, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.4966214895248413, "train_acc": 0.695, "val_loss": 0.4222588837146759, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.31086789071559906, "train_acc": 0.9, "val_loss": 0.34913772344589233, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.34884318709373474, "train_acc": 0.845, "val_loss": 0.2831311821937561, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.24284833669662476, "train_acc": 0.905, "val_loss": 0.26330262422561646, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.16907906532287598, "train_acc": 0.945, "val_loss": 0.26621657609939575, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.16863147169351578, "train_acc": 0.945, "val_loss": 0.33632126450538635, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.209635928273201, "train_acc": 0.93, "val_loss": 0.2826409637928009, "val_acc": 0.92}], "summary": {"total_epochs": 9, "degraded_epochs": 2, "improved_epochs": 7, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6819354295730591, "final_val_loss": 0.5715932846069336, "initial_val_acc": 0.48, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.4222588837146759, "final_val_loss": 0.2826409637928009, "initial_val_acc": 0.84, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 6}, "improvement": 0.3400000000000001, "first_improvement_epoch": 1}}
|
9,430
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.54, "improved_accuracy": 0.88, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6591, "learning_rate": 0.06801285007444648, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "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: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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}
## Activation Signature
### 0
mean: [0.676737, -2.980616, 1.087979, -2.607081, 1.227325]
std: [1.413125, 1.797861, 1.173706, 1.709894, 1.266306]
pca: [[-0.379283, -0.567845, -0.254509, -0.199298, 0.655135, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.605096, -0.369001, 0.447226, -0.544235, 0.038656, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.014814, 0.669954, 0.322879, -0.159280, 0.649092, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.623843, -0.114682, -0.188533, 0.643735, 0.384354, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.317181, -0.281779, 0.771634, 0.473628, 0.015985, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.417452, 24.464168, 25.979596, 32.993819, 60.906314], [27.117789, 28.518588, 33.152996, 39.371267, 268.255448], [18.236740, 18.256792, 20.247540, 22.894223, 97.918084], [27.638999, 28.611868, 29.133544, 33.853809, 234.637317], [20.123831, 21.740088, 21.794062, 23.351824, 110.459268]]
### 2
mean: [0.459111, 1.355880, -0.711519, 0.537203, 0.932655]
std: [0.952389, 1.571457, 0.259687, 1.179397, 1.188286]
pca: [[0.384720, -0.234004, 0.774881, 0.402178, 0.187201, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.649721, 0.322416, -0.078226, 0.034743, -0.683069, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.024039, -0.330255, -0.513840, 0.790676, -0.033957, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.446997, 0.729245, 0.223551, 0.459894, -0.083172, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.479028, 0.447686, -0.281839, 0.019341, 0.700215, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.025942, 16.193999, 16.327537, 21.075808, 41.319957], [21.564557, 25.139745, 29.151552, 33.966768, 122.029202], [4.098715, 4.366880, 4.669414, 5.006646, 64.036680], [17.726266, 20.270279, 21.727082, 23.227377, 48.348241], [17.549301, 17.923635, 22.217720, 25.114532, 83.938956]]
### 4
mean: [0.166582, -1.506698, -0.997206, 0.960036, 1.935193]
std: [0.490210, 1.342464, 0.647361, 1.176963, 2.715055]
pca: [[-0.123776, 0.594687, 0.701888, -0.005184, -0.371959, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.400071, -0.437454, 0.560664, -0.297264, 0.495849, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.181215, -0.536781, 0.195116, 0.669474, -0.439046, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.353282, 0.225284, 0.207085, 0.625570, 0.624674, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.816685, -0.340727, 0.334745, -0.268466, -0.181113, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.697016, 8.236062, 8.456473, 9.343539, 14.992425], [18.903414, 20.389238, 25.183485, 29.739057, 135.602804], [8.780654, 9.994355, 12.662993, 13.877445, 89.748541], [15.897949, 18.391283, 21.653454, 26.196622, 86.403214], [39.794262, 44.450485, 47.986737, 59.650518, 174.167390]]
### 6
mean: [-0.131927, 0.422501, -0.705737, -0.798145, 1.795358]
std: [0.226812, 0.896552, 0.117420, 0.629827, 2.783029]
pca: [[0.067595, 0.463286, 0.819600, -0.073468, 0.321954, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.296583, 0.610983, -0.421363, -0.600963, -0.005932, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.037989, 0.101687, -0.363937, 0.331282, 0.863723, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.206258, 0.628074, -0.131569, 0.632767, -0.381152, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.929238, -0.085140, 0.030784, 0.351147, -0.070818, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.279729, 3.962915, 4.024477, 4.244255, 11.873386], [14.230205, 14.602978, 15.430945, 19.672838, 38.025096], [1.771288, 1.815759, 2.120577, 2.501809, 63.516299], [8.576823, 9.244128, 12.075308, 14.209565, 71.833013], [38.811665, 44.086200, 50.468604, 62.403254, 161.582215]]
### 8
mean: [-1.585718]
std: [2.547857]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[33.349120, 39.596783, 47.484589, 57.656006, 142.714617]]
## 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.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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}
## Activation Signature
### 0
mean: [0.676737, -2.980616, 1.087979, -2.607081, 1.227325]
std: [1.413125, 1.797861, 1.173706, 1.709894, 1.266306]
pca: [[-0.379283, -0.567845, -0.254509, -0.199298, 0.655135, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.605096, -0.369001, 0.447226, -0.544235, 0.038656, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.014814, 0.669954, 0.322879, -0.159280, 0.649092, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.623843, -0.114682, -0.188533, 0.643735, 0.384354, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.317181, -0.281779, 0.771634, 0.473628, 0.015985, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.417452, 24.464168, 25.979596, 32.993819, 60.906314], [27.117789, 28.518588, 33.152996, 39.371267, 268.255448], [18.236740, 18.256792, 20.247540, 22.894223, 97.918084], [27.638999, 28.611868, 29.133544, 33.853809, 234.637317], [20.123831, 21.740088, 21.794062, 23.351824, 110.459268]]
### 2
mean: [0.459111, 1.355880, -0.711519, 0.537203, 0.932655]
std: [0.952389, 1.571457, 0.259687, 1.179397, 1.188286]
pca: [[0.384720, -0.234004, 0.774881, 0.402178, 0.187201, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.649721, 0.322416, -0.078226, 0.034743, -0.683069, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.024039, -0.330255, -0.513840, 0.790676, -0.033957, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.446997, 0.729245, 0.223551, 0.459894, -0.083172, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.479028, 0.447686, -0.281839, 0.019341, 0.700215, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.025942, 16.193999, 16.327537, 21.075808, 41.319957], [21.564557, 25.139745, 29.151552, 33.966768, 122.029202], [4.098715, 4.366880, 4.669414, 5.006646, 64.036680], [17.726266, 20.270279, 21.727082, 23.227377, 48.348241], [17.549301, 17.923635, 22.217720, 25.114532, 83.938956]]
### 4
mean: [0.166582, -1.506698, -0.997206, 0.960036, 1.935193]
std: [0.490210, 1.342464, 0.647361, 1.176963, 2.715055]
pca: [[-0.123776, 0.594687, 0.701888, -0.005184, -0.371959, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.400071, -0.437454, 0.560664, -0.297264, 0.495849, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.181215, -0.536781, 0.195116, 0.669474, -0.439046, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.353282, 0.225284, 0.207085, 0.625570, 0.624674, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.816685, -0.340727, 0.334745, -0.268466, -0.181113, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.697016, 8.236062, 8.456473, 9.343539, 14.992425], [18.903414, 20.389238, 25.183485, 29.739057, 135.602804], [8.780654, 9.994355, 12.662993, 13.877445, 89.748541], [15.897949, 18.391283, 21.653454, 26.196622, 86.403214], [39.794262, 44.450485, 47.986737, 59.650518, 174.167390]]
### 6
mean: [-0.131927, 0.422501, -0.705737, -0.798145, 1.795358]
std: [0.226812, 0.896552, 0.117420, 0.629827, 2.783029]
pca: [[0.067595, 0.463286, 0.819600, -0.073468, 0.321954, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.296583, 0.610983, -0.421363, -0.600963, -0.005932, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.037989, 0.101687, -0.363937, 0.331282, 0.863723, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.206258, 0.628074, -0.131569, 0.632767, -0.381152, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.929238, -0.085140, 0.030784, 0.351147, -0.070818, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.279729, 3.962915, 4.024477, 4.244255, 11.873386], [14.230205, 14.602978, 15.430945, 19.672838, 38.025096], [1.771288, 1.815759, 2.120577, 2.501809, 63.516299], [8.576823, 9.244128, 12.075308, 14.209565, 71.833013], [38.811665, 44.086200, 50.468604, 62.403254, 161.582215]]
### 8
mean: [-1.585718]
std: [2.547857]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[33.349120, 39.596783, 47.484589, 57.656006, 142.714617]]
## 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.
palindrome
|
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16.32753730821193, 21.075807530528213, 41.31995686888695]}, "1": {"mean": 1.3558800220489502, "std": 1.571457028388977, "pca": [0.6497213840484619, 0.3224163055419922, -0.07822591811418533, 0.03474297374486923, -0.683069109916687, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [21.564556976886273, 25.139744714389792, 29.151551667305046, 33.966767841077264, 122.02920217812061]}, "2": {"mean": -0.7115187048912048, "std": 0.2596873939037323, "pca": [0.024038735777139664, -0.33025532960891724, -0.5138404369354248, 0.790675938129425, -0.033957257866859436, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [4.098715086192146, 4.366880318263821, 4.669413904237724, 5.006646300740658, 64.03667950630188]}, "3": {"mean": 0.5372026562690735, "std": 1.1793967485427856, "pca": [-0.4469969570636749, 0.7292450070381165, 0.22355076670646667, 0.4598943889141083, -0.08317220211029053, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [17.726265818385585, 20.27027865181708, 21.727081512149123, 23.227376649934, 48.3482406809926]}, "4": 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[33.34911999870911, 39.59678329150843, 47.484589258559815, 57.65600567968607, 142.71461668610573]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.106989, 0.038461, -0.205262, 0.051741, 0.749896], [-0.242126, -0.387675, -0.475824, 0.107244, -0.384302], [-0.193101, 0.236275, 0.472692, 0.034294, -0.391768], [-0.100797, -0.33105, -0.315879, -0.308482, -0.451175], [0.068085, -0.383685, 0.25086, 0.425122, 0.316361]], "network.0.bias": [-0.133546, -0.734939, 0.319974, -0.000589, 0.015909], "network.2.weight": [[0.593988, 0.197431, -0.292469, 0.077801, 0.018299], [0.770962, -0.224388, -0.219811, 0.214692, 0.527067], [-0.167117, -0.075807, -0.295172, -0.050328, 0.089499], [-0.313416, -0.009708, 0.78227, 0.099115, -0.230143], [0.547948, -0.193079, -0.057634, 0.001411, 0.486273]], "network.2.bias": [0.279495, 0.29141, -0.340191, 0.178972, -0.082272], "network.4.weight": [[0.125661, -0.030499, -0.279741, 0.476361, -0.1927], [-0.437398, -0.39123, 0.425976, -0.132218, -0.377952], [-0.236241, -0.371295, -0.007613, -0.315576, 0.003236], [0.510955, 0.21837, -0.047167, 0.011167, 0.367639], [0.882203, 0.635643, 0.325709, -0.538075, 0.630992]], "network.4.bias": [-0.060683, -0.246408, -0.100513, 0.001327, 0.374509], "network.6.weight": [[-0.461826, -0.104217, 0.298712, 0.510238, -0.187673], [-0.427637, 0.320088, -0.163344, -0.225528, 0.405879], [0.011219, 0.390155, -0.437806, -0.267316, 0.076928], [-0.303877, 0.411172, -0.205133, -0.249805, -0.148574], [-0.291483, -0.276893, 0.336405, 0.423108, 0.850526]], "network.6.bias": [-0.104458, -0.066398, -0.609545, -0.166673, -0.264273], "network.8.weight": [[0.564122, -0.435532, 0.116916, 0.082924, -0.83218]], "network.8.bias": [0.209078]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6944383978843689, "train_acc": 0.555, "val_loss": 0.6814035177230835, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6742630004882812, "train_acc": 0.555, "val_loss": 0.629935085773468, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6196500658988953, "train_acc": 0.585, "val_loss": 0.5064736008644104, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5091510862112045, "train_acc": 0.76, "val_loss": 0.41920116543769836, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.47734785079956055, "train_acc": 0.815, "val_loss": 0.3961956799030304, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.42947918176651, "train_acc": 0.845, "val_loss": 0.46721741557121277, "val_acc": 0.74}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.4484950006008148, "train_acc": 0.755, "val_loss": 0.4459536075592041, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.4270096868276596, "train_acc": 0.81, "val_loss": 0.44616615772247314, "val_acc": 0.78}], "summary": {"total_epochs": 8, "degraded_epochs": 2, "improved_epochs": 6, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6814035177230835, "final_val_loss": 0.629935085773468, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.5064736008644104, "final_val_loss": 0.44616615772247314, "initial_val_acc": 0.8, "final_val_acc": 0.78, "best_val_acc": 0.88, "best_epoch": 3}, "improvement": 0.33999999999999997, "first_improvement_epoch": 1}}
|
9,431
|
{"target_pattern": "alternating", "degraded_accuracy": 0.6, "improved_accuracy": 0.9, "improvement": 0.30000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4652, "learning_rate": 0.07117391873516875, "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: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.643768,
-1.189256,
0.195064,
-0.874594,
0.082674
],
[
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0.876831,
0.420143,
0.216194
],
[
-0.411046,
0.146147,
-0.763865,
0.218435,
-0.197296
],
[
0.184692,
0.799089,
-0.049115,
-0.307765,
-0.510474
],
[
-0.344338,
0.44437,
-0.624829,
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],
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[
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"network.8.bias": [
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}
## Activation Signature
### 0
mean: [-2.942429, 3.128509, -1.428094, -0.024321, -0.410909]
std: [3.309191, 2.147564, 2.039386, 1.845356, 1.912699]
pca: [[0.831645, -0.282010, 0.049243, 0.475227, 0.023893, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.133779, 0.709786, -0.151179, 0.665279, 0.113386, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.339710, -0.506846, -0.294805, 0.290294, 0.675665, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.146435, -0.004392, 0.940306, 0.142538, 0.272114, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.391949, -0.399703, 0.060294, 0.476419, -0.675280, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[49.933635, 55.540501, 55.552962, 58.170700, 264.818571], [34.202104, 34.213588, 34.441675, 36.260147, 281.565817], [35.603319, 36.349369, 37.134047, 43.714317, 128.528449], [28.532669, 28.674431, 29.034853, 31.831878, 34.239871], [35.838478, 35.949058, 36.981785, 38.170413, 38.436366]]
### 2
mean: [2.002581, 0.271014, 0.846680, -3.610560, 0.091515]
std: [1.955803, 1.152814, 0.625872, 2.103431, 1.169551]
pca: [[-0.626010, 0.032791, 0.547305, -0.219208, 0.509354, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.284247, 0.589194, -0.311681, -0.556123, 0.406984, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.168883, 0.202158, -0.391065, 0.719840, 0.509421, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.654912, -0.434503, 0.319322, 0.078611, 0.523594, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.264357, 0.649703, 0.590266, 0.343985, -0.203131, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.076136, 29.595610, 30.617533, 33.617098, 180.232252], [16.765135, 18.611148, 18.948104, 21.551179, 24.391223], [9.030860, 9.469080, 9.880070, 11.528002, 76.201201], [31.183118, 33.542910, 34.065279, 34.283159, 324.950425], [16.117881, 16.548856, 17.238315, 18.517761, 22.896038]]
### 4
mean: [-1.738069, -0.042887, 1.512020, -0.462086, 0.528186]
std: [0.568139, 1.332464, 2.333116, 1.331681, 0.407301]
pca: [[-0.137535, 0.807443, -0.197676, -0.297259, 0.449090, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.440032, -0.029793, -0.131990, 0.798002, 0.388916, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.769771, 0.324778, 0.308613, 0.446945, 0.083491, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.430597, 0.413359, 0.589606, 0.132700, -0.527708, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.097443, -0.266088, 0.707549, -0.239710, 0.601344, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.649809, 9.083176, 9.984216, 9.989428, 156.426205], [17.999935, 20.788363, 22.207147, 23.625965, 23.929425], [34.489388, 38.043261, 39.152185, 42.377685, 136.081797], [19.309369, 22.146021, 22.669804, 23.863992, 41.587719], [6.203991, 6.270701, 7.212863, 7.342582, 47.536763]]
### 6
mean: [1.177653, 1.110569, 1.339602, -0.009766, 0.730621]
std: [1.595834, 1.609993, 2.219872, 2.099851, 1.100444]
pca: [[0.401549, 0.541505, 0.141559, -0.034098, 0.724106, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.407539, 0.247407, -0.553421, -0.597406, -0.330958, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.562862, -0.121742, 0.718780, -0.128620, -0.367665, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.528675, 0.683655, 0.338231, -0.227474, -0.294914, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.276331, 0.404175, -0.206499, 0.757401, -0.379455, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.678627, 24.462903, 26.081954, 26.749672, 105.988740], [23.461378, 24.974095, 27.278435, 27.498289, 99.951226], [33.852617, 34.350889, 35.283540, 38.643636, 120.564147], [30.101347, 32.009784, 32.550126, 33.501678, 38.019397], [16.743792, 16.847773, 18.087021, 18.331277, 65.755892]]
### 8
mean: [-3.337135]
std: [4.694096]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[71.259103, 72.203885, 75.401267, 79.299674, 300.342121]]
## 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: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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],
"network.2.bias": [
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],
"network.4.weight": [
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],
[
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],
[
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],
[
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[
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]
],
"network.4.bias": [
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0.619643
],
"network.6.weight": [
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],
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[
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[
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],
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],
"network.8.weight": [
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]
],
"network.8.bias": [
0.202304
]
}
## Activation Signature
### 0
mean: [-2.942429, 3.128509, -1.428094, -0.024321, -0.410909]
std: [3.309191, 2.147564, 2.039386, 1.845356, 1.912699]
pca: [[0.831645, -0.282010, 0.049243, 0.475227, 0.023893, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.133779, 0.709786, -0.151179, 0.665279, 0.113386, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.339710, -0.506846, -0.294805, 0.290294, 0.675665, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.146435, -0.004392, 0.940306, 0.142538, 0.272114, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.391949, -0.399703, 0.060294, 0.476419, -0.675280, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[49.933635, 55.540501, 55.552962, 58.170700, 264.818571], [34.202104, 34.213588, 34.441675, 36.260147, 281.565817], [35.603319, 36.349369, 37.134047, 43.714317, 128.528449], [28.532669, 28.674431, 29.034853, 31.831878, 34.239871], [35.838478, 35.949058, 36.981785, 38.170413, 38.436366]]
### 2
mean: [2.002581, 0.271014, 0.846680, -3.610560, 0.091515]
std: [1.955803, 1.152814, 0.625872, 2.103431, 1.169551]
pca: [[-0.626010, 0.032791, 0.547305, -0.219208, 0.509354, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.284247, 0.589194, -0.311681, -0.556123, 0.406984, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.168883, 0.202158, -0.391065, 0.719840, 0.509421, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.654912, -0.434503, 0.319322, 0.078611, 0.523594, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.264357, 0.649703, 0.590266, 0.343985, -0.203131, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.076136, 29.595610, 30.617533, 33.617098, 180.232252], [16.765135, 18.611148, 18.948104, 21.551179, 24.391223], [9.030860, 9.469080, 9.880070, 11.528002, 76.201201], [31.183118, 33.542910, 34.065279, 34.283159, 324.950425], [16.117881, 16.548856, 17.238315, 18.517761, 22.896038]]
### 4
mean: [-1.738069, -0.042887, 1.512020, -0.462086, 0.528186]
std: [0.568139, 1.332464, 2.333116, 1.331681, 0.407301]
pca: [[-0.137535, 0.807443, -0.197676, -0.297259, 0.449090, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.440032, -0.029793, -0.131990, 0.798002, 0.388916, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.769771, 0.324778, 0.308613, 0.446945, 0.083491, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.430597, 0.413359, 0.589606, 0.132700, -0.527708, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.097443, -0.266088, 0.707549, -0.239710, 0.601344, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.649809, 9.083176, 9.984216, 9.989428, 156.426205], [17.999935, 20.788363, 22.207147, 23.625965, 23.929425], [34.489388, 38.043261, 39.152185, 42.377685, 136.081797], [19.309369, 22.146021, 22.669804, 23.863992, 41.587719], [6.203991, 6.270701, 7.212863, 7.342582, 47.536763]]
### 6
mean: [1.177653, 1.110569, 1.339602, -0.009766, 0.730621]
std: [1.595834, 1.609993, 2.219872, 2.099851, 1.100444]
pca: [[0.401549, 0.541505, 0.141559, -0.034098, 0.724106, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.407539, 0.247407, -0.553421, -0.597406, -0.330958, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.562862, -0.121742, 0.718780, -0.128620, -0.367665, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.528675, 0.683655, 0.338231, -0.227474, -0.294914, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.276331, 0.404175, -0.206499, 0.757401, -0.379455, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.678627, 24.462903, 26.081954, 26.749672, 105.988740], [23.461378, 24.974095, 27.278435, 27.498289, 99.951226], [33.852617, 34.350889, 35.283540, 38.643636, 120.564147], [30.101347, 32.009784, 32.550126, 33.501678, 38.019397], [16.743792, 16.847773, 18.087021, 18.331277, 65.755892]]
### 8
mean: [-3.337135]
std: [4.694096]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[71.259103, 72.203885, 75.401267, 79.299674, 300.342121]]
## 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": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.643768, -1.189256, 0.195064, -0.874594, 0.082674], [-0.312168, 0.261935, 0.876831, 0.420143, 0.216194], [-0.411046, 0.146147, -0.763865, 0.218435, -0.197296], [0.184692, 0.799089, -0.049115, -0.307765, -0.510474], [-0.344338, 0.44437, -0.624829, 0.159797, -0.3905]], "network.0.bias": [-0.210386, 0.040465, 0.187655, -0.318112, 0.652001], "network.2.weight": [[-0.872556, 0.687196, -0.366996, 0.665046, -0.64244], [0.635407, -0.072166, 0.377095, -0.711311, 0.71101], [0.052669, 0.243733, -0.049953, 0.232416, 0.119164], [0.646675, -0.858801, 0.089535, -0.605414, 0.160148], [0.882349, -0.024634, 0.159411, -0.72372, 0.416249]], "network.2.bias": [-0.041365, 0.445362, -0.101338, -0.79236, 0.217856], "network.4.weight": [[-0.504963, 0.008383, 0.637314, -0.093672, -0.411691], [-0.333654, 0.786302, -0.310393, 0.085889, 0.263604], [0.82383, -0.633734, -0.105615, 0.291494, -0.97727], [-0.36888, 0.466096, -0.644506, -0.300243, 0.205842], [0.174403, 0.016249, -0.841636, -0.708773, 0.432927]], "network.4.bias": [-1.051639, 0.419344, 0.526452, 0.474188, 0.619643], "network.6.weight": [[0.109337, -0.280737, 0.762015, -0.477996, 0.411904], [-0.449203, -0.426324, 0.709236, -0.258803, -0.102205], [-0.557776, -0.676917, 0.865999, -0.825991, 0.192811], [-0.580619, 0.815602, -0.626152, 0.532151, 0.805985], [-0.131846, -0.018842, 0.542914, -0.524767, 0.235228]], "network.6.bias": [-0.140754, 0.066212, 0.114863, 0.287165, -0.231121], "network.8.weight": [[-0.934863, -0.594535, -0.850424, 0.604674, -0.673874]], "network.8.bias": [0.202304]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6950888931751251, "train_acc": 0.545, "val_loss": 0.6727659702301025, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6772330701351166, "train_acc": 0.545, "val_loss": 0.6229521036148071, "val_acc": 0.6}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6076255738735199, "train_acc": 0.475, "val_loss": 0.4321273863315582, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4213631749153137, "train_acc": 0.865, "val_loss": 0.3590426743030548, "val_acc": 0.7}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.37786343693733215, "train_acc": 0.75, "val_loss": 0.2978413701057434, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.2701158821582794, "train_acc": 0.88, "val_loss": 0.4232584238052368, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.27468419075012207, "train_acc": 0.885, "val_loss": 0.291533887386322, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.16226938366889954, "train_acc": 0.94, "val_loss": 0.19773010909557343, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.19514797627925873, "train_acc": 0.935, "val_loss": 0.1970546841621399, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.15434737503528595, "train_acc": 0.955, "val_loss": 0.23232023417949677, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.13807203248143196, "train_acc": 0.94, "val_loss": 0.2582264542579651, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.1191556453704834, "train_acc": 0.965, "val_loss": 0.27085137367248535, "val_acc": 0.9}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.6727659702301025, "final_val_loss": 0.6229521036148071, "initial_val_acc": 0.6, "final_val_acc": 0.6, "best_val_acc": 0.6}, "improved_stage": {"initial_val_loss": 0.4321273863315582, "final_val_loss": 0.27085137367248535, "initial_val_acc": 0.76, "final_val_acc": 0.9, "best_val_acc": 0.9, "best_epoch": 7}, "improvement": 0.30000000000000004, "first_improvement_epoch": 1}}
|
9,432
|
{"target_pattern": "has_majority", "degraded_accuracy": 0.5, "improved_accuracy": 0.84, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1164, "learning_rate": 0.052404790621125484, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "has_majority", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["has_majority"], "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: 5
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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[
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[
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],
"network.0.bias": [
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[
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[
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[
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"network.2.bias": [
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"network.4.weight": [
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[
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[
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[
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"network.6.weight": [
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[
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"network.8.weight": [
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[
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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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}
## Activation Signature
### 0
mean: [-2.877259, -4.099482, 2.555135, -0.414906, -1.492392, 1.536167]
std: [1.852663, 2.428390, 2.233624, 1.678062, 2.389879, 1.521780]
pca: [[0.467565, 0.093470, -0.313558, -0.110066, -0.496144, 0.645023, 0.000000, 0.000000, 0.000000, 0.000000], [0.586393, -0.046150, 0.594644, 0.020086, 0.487722, 0.249268, 0.000000, 0.000000, 0.000000, 0.000000], [-0.402791, 0.612424, 0.242888, 0.481317, 0.014415, 0.414522, 0.000000, 0.000000, 0.000000, 0.000000], [0.180616, -0.216283, -0.566720, 0.659900, 0.402196, 0.046892, 0.000000, 0.000000, 0.000000, 0.000000], [0.460585, 0.694672, -0.148925, 0.033997, -0.037140, -0.529696, 0.000000, 0.000000, 0.000000, 0.000000], [-0.174713, 0.291071, -0.381753, -0.564971, 0.593818, 0.259242, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.827544, 30.978868, 34.004677, 37.477982, 258.953264], [36.487228, 39.662323, 43.085132, 44.280515, 368.953317], [37.478700, 38.817760, 38.843152, 46.704891, 229.962147], [23.526067, 27.787680, 29.436941, 30.868058, 37.341550], [40.195945, 43.550446, 47.206220, 47.427714, 134.315264], [25.313955, 25.778855, 26.628812, 26.975787, 138.255059]]
### 2
mean: [0.862656, 1.371579, 1.249295, -1.084962, -0.054246, -0.255357]
std: [0.779660, 1.316010, 0.913605, 1.487966, 0.711758, 0.750586]
pca: [[-0.123622, -0.416266, 0.424717, -0.194038, 0.270722, 0.721190, 0.000000, 0.000000, 0.000000, 0.000000], [-0.293496, 0.735331, 0.448571, -0.394857, -0.117231, 0.047720, 0.000000, 0.000000, 0.000000, 0.000000], [-0.236269, -0.457967, 0.434793, -0.291152, 0.089396, -0.672783, 0.000000, 0.000000, 0.000000, 0.000000], [0.822914, 0.079546, 0.043371, -0.496955, 0.251394, -0.066645, 0.000000, 0.000000, 0.000000, 0.000000], [-0.319317, 0.181258, -0.351001, -0.087464, 0.852508, -0.086955, 0.000000, 0.000000, 0.000000, 0.000000], [0.252198, 0.192600, 0.551609, 0.683413, 0.339127, -0.113879, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.431032, 12.427958, 14.271042, 15.139707, 77.639032], [19.534528, 20.033113, 21.485939, 24.330128, 123.442139], [13.139000, 15.172662, 17.127091, 19.353594, 112.436569], [24.214901, 24.381970, 27.462976, 31.529817, 97.646583], [11.000804, 11.217273, 11.821869, 12.198237, 12.302606], [11.747641, 11.769848, 13.042801, 13.101719, 22.982087]]
### 4
mean: [1.252624, 0.794585, 0.544198, -0.880983, -0.339322, -0.422213]
std: [1.421577, 1.035663, 1.347923, 0.309319, 0.352046, 1.540348]
pca: [[-0.538493, 0.274030, -0.028745, 0.283629, -0.262986, 0.696060, 0.000000, 0.000000, 0.000000, 0.000000], [-0.378071, 0.273796, 0.635247, 0.361599, 0.079221, -0.491456, 0.000000, 0.000000, 0.000000, 0.000000], [0.474538, 0.753624, 0.046663, 0.038394, 0.400018, 0.207842, 0.000000, 0.000000, 0.000000, 0.000000], [-0.020075, -0.360105, -0.235464, 0.647976, 0.622052, 0.087503, 0.000000, 0.000000, 0.000000, 0.000000], [0.017026, -0.343778, 0.660296, -0.347458, 0.350162, 0.449661, 0.000000, 0.000000, 0.000000, 0.000000], [0.584130, -0.184756, 0.319411, 0.496716, -0.504961, 0.144642, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.836266, 21.319797, 23.152941, 23.863676, 112.736144], [14.712012, 15.105897, 16.835125, 19.169954, 71.512669], [17.345855, 20.560892, 20.804422, 28.093767, 48.977811], [4.717339, 5.958894, 6.786607, 6.882777, 79.288518], [5.257136, 5.810540, 5.931535, 6.850007, 30.538965], [22.802843, 23.662549, 23.935219, 25.947955, 37.999171]]
### 6
mean: [1.141954, 1.061888, 0.731016, -0.938045, -0.545070, -0.939390]
std: [1.703676, 0.693743, 0.828839, 2.014274, 1.991683, 0.575248]
pca: [[-0.490303, -0.086508, 0.511026, 0.322678, 0.534896, 0.317391, 0.000000, 0.000000, 0.000000, 0.000000], [-0.113266, 0.948423, -0.211809, 0.090772, 0.106916, 0.152090, 0.000000, 0.000000, 0.000000, 0.000000], [-0.238023, -0.110520, -0.114611, -0.120782, -0.524166, 0.792879, 0.000000, 0.000000, 0.000000, 0.000000], [0.580226, -0.084717, -0.177983, -0.272007, 0.571573, 0.473075, 0.000000, 0.000000, 0.000000, 0.000000], [0.572285, 0.203906, 0.659115, 0.281124, -0.317819, 0.128216, 0.000000, 0.000000, 0.000000, 0.000000], [0.161081, -0.179002, -0.463403, 0.848547, -0.000938, 0.085063, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.910246, 26.051448, 26.876037, 33.282913, 102.775845], [10.678025, 11.471341, 13.663354, 13.984073, 95.569966], [12.154635, 12.355413, 12.684316, 16.374107, 65.791417], [28.835703, 30.547247, 32.612154, 38.074782, 84.424012], [29.190933, 29.562570, 30.483562, 38.948298, 49.056337], [7.981308, 8.456282, 9.234452, 10.044857, 84.545140]]
### 8
mean: [-0.885623, 1.230825, -1.132240, -1.083098, -0.276916, -0.809134]
std: [0.834154, 1.337097, 2.285515, 1.037619, 2.052160, 0.564772]
pca: [[0.230840, -0.024383, 0.878814, 0.284764, -0.213279, -0.217315, 0.000000, 0.000000, 0.000000, 0.000000], [-0.363148, 0.474072, 0.075120, 0.624060, 0.415931, 0.274386, 0.000000, 0.000000, 0.000000, 0.000000], [0.634774, -0.055559, -0.412416, 0.557160, 0.073001, -0.328836, 0.000000, 0.000000, 0.000000, 0.000000], [0.285444, -0.242038, 0.224670, -0.268562, 0.857479, 0.045454, 0.000000, 0.000000, 0.000000, 0.000000], [0.560634, 0.630430, 0.036950, -0.268946, -0.126218, 0.445667, 0.000000, 0.000000, 0.000000, 0.000000], [0.126924, -0.561739, 0.010703, 0.273083, -0.158061, 0.754101, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.569732, 12.595651, 12.602111, 15.942898, 79.706055], [18.327212, 18.342023, 22.976650, 23.753742, 110.774267], [32.390632, 32.902132, 35.738012, 44.464042, 101.901584], [14.273943, 14.737451, 17.533592, 18.763105, 97.478832], [28.847568, 29.871728, 30.380810, 31.302971, 43.338812], [7.988330, 8.705886, 9.367062, 11.255786, 72.822102]]
### 10
mean: [0.244798]
std: [1.369173]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.883646, 22.031856, 22.033900, 22.716062, 28.932360]]
## 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.
|
has_majority
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.045612,
-0.920143,
-0.115212,
-0.08832,
-0.207514
],
[
-0.230434,
0.007655,
-0.461354,
-1.027642,
-0.035805
],
[
0.414672,
0.29185,
0.797711,
-0.047474,
0.060859
],
[
0.547647,
-0.516824,
-0.669907,
0.225645,
0.234948
],
[
0.18174,
-1.008583,
0.431076,
-0.490331,
0.055466
],
[
-0.28269,
-0.151907,
0.456711,
0.24108,
0.524269
]
],
"network.0.bias": [
-0.571319,
-0.615072,
-0.132302,
0.471055,
0.201915,
0.047167
],
"network.2.weight": [
[
-0.180067,
-0.306495,
-0.014248,
0.685122,
0.728354,
0.006755
],
[
0.661494,
1.025732,
0.389386,
-0.245672,
-1.097065,
0.465015
],
[
-0.63626,
-0.162107,
0.076504,
0.802456,
0.801606,
-0.046403
],
[
0.25759,
0.120038,
-0.64494,
-0.254386,
-0.462202,
0.346501
],
[
0.184375,
-0.406557,
0.33394,
-0.155682,
-0.254153,
-0.231183
],
[
0.341366,
0.145808,
-0.22563,
-0.248272,
-0.196784,
0.507989
]
],
"network.2.bias": [
0.434075,
0.114138,
0.592544,
0.239732,
-0.425204,
-0.300381
],
"network.4.weight": [
[
0.723455,
-0.285474,
0.612977,
-0.726778,
-0.213557,
-0.422721
],
[
0.621727,
-0.087289,
0.425531,
-0.855007,
0.043811,
-0.704437
],
[
0.113371,
0.765676,
-0.555371,
0.443425,
0.049663,
0.690052
],
[
0.052606,
-0.044599,
-0.197126,
-0.223854,
-0.456432,
-0.424208
],
[
-0.18455,
-0.151466,
-0.06499,
0.053787,
0.468578,
-0.435528
],
[
-0.741497,
0.473902,
-0.585981,
-0.158417,
-0.008173,
0.260525
]
],
"network.4.bias": [
0.480299,
0.028055,
-0.00529,
-0.546094,
0.038646,
0.137431
],
"network.6.weight": [
[
0.524185,
0.539318,
-0.219356,
0.104891,
0.372317,
-0.875116
],
[
0.178559,
0.513574,
0.067393,
-0.039218,
-0.338246,
0.711958
],
[
0.30966,
0.129897,
-0.274879,
0.577674,
0.071708,
-0.190379
],
[
-0.732979,
-0.575793,
0.343046,
0.536684,
-0.594248,
0.606657
],
[
-0.729646,
-0.35811,
0.750058,
0.065382,
-0.241615,
0.192607
],
[
-0.369322,
-0.025106,
-0.119048,
0.240128,
0.269129,
0.340222
]
],
"network.6.bias": [
0.545693,
0.202195,
0.608869,
-0.006987,
-0.015973,
-0.414595
],
"network.8.weight": [
[
-0.119401,
-0.317131,
-0.321072,
0.049341,
0.434961,
-0.161703
],
[
0.522627,
0.405794,
0.281048,
-0.23418,
-0.150928,
-0.134636
],
[
-0.946357,
0.020567,
-0.68461,
-0.02827,
0.701924,
-0.217146
],
[
-0.322532,
-0.330953,
-0.342603,
0.143664,
0.225464,
0.856561
],
[
-0.920575,
0.532515,
-0.606957,
0.537813,
0.371185,
-0.120089
],
[
-0.104493,
-0.530537,
-0.04859,
-0.242674,
0.26095,
0.028433
]
],
"network.8.bias": [
-0.446386,
0.111504,
0.185816,
-0.155544,
0.489853,
-0.199312
],
"network.10.weight": [
[
-0.091468,
0.524346,
-0.38659,
-0.004791,
-0.492915,
0.153967
]
],
"network.10.bias": [
0.10045
]
}
## Activation Signature
### 0
mean: [-2.877259, -4.099482, 2.555135, -0.414906, -1.492392, 1.536167]
std: [1.852663, 2.428390, 2.233624, 1.678062, 2.389879, 1.521780]
pca: [[0.467565, 0.093470, -0.313558, -0.110066, -0.496144, 0.645023, 0.000000, 0.000000, 0.000000, 0.000000], [0.586393, -0.046150, 0.594644, 0.020086, 0.487722, 0.249268, 0.000000, 0.000000, 0.000000, 0.000000], [-0.402791, 0.612424, 0.242888, 0.481317, 0.014415, 0.414522, 0.000000, 0.000000, 0.000000, 0.000000], [0.180616, -0.216283, -0.566720, 0.659900, 0.402196, 0.046892, 0.000000, 0.000000, 0.000000, 0.000000], [0.460585, 0.694672, -0.148925, 0.033997, -0.037140, -0.529696, 0.000000, 0.000000, 0.000000, 0.000000], [-0.174713, 0.291071, -0.381753, -0.564971, 0.593818, 0.259242, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.827544, 30.978868, 34.004677, 37.477982, 258.953264], [36.487228, 39.662323, 43.085132, 44.280515, 368.953317], [37.478700, 38.817760, 38.843152, 46.704891, 229.962147], [23.526067, 27.787680, 29.436941, 30.868058, 37.341550], [40.195945, 43.550446, 47.206220, 47.427714, 134.315264], [25.313955, 25.778855, 26.628812, 26.975787, 138.255059]]
### 2
mean: [0.862656, 1.371579, 1.249295, -1.084962, -0.054246, -0.255357]
std: [0.779660, 1.316010, 0.913605, 1.487966, 0.711758, 0.750586]
pca: [[-0.123622, -0.416266, 0.424717, -0.194038, 0.270722, 0.721190, 0.000000, 0.000000, 0.000000, 0.000000], [-0.293496, 0.735331, 0.448571, -0.394857, -0.117231, 0.047720, 0.000000, 0.000000, 0.000000, 0.000000], [-0.236269, -0.457967, 0.434793, -0.291152, 0.089396, -0.672783, 0.000000, 0.000000, 0.000000, 0.000000], [0.822914, 0.079546, 0.043371, -0.496955, 0.251394, -0.066645, 0.000000, 0.000000, 0.000000, 0.000000], [-0.319317, 0.181258, -0.351001, -0.087464, 0.852508, -0.086955, 0.000000, 0.000000, 0.000000, 0.000000], [0.252198, 0.192600, 0.551609, 0.683413, 0.339127, -0.113879, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.431032, 12.427958, 14.271042, 15.139707, 77.639032], [19.534528, 20.033113, 21.485939, 24.330128, 123.442139], [13.139000, 15.172662, 17.127091, 19.353594, 112.436569], [24.214901, 24.381970, 27.462976, 31.529817, 97.646583], [11.000804, 11.217273, 11.821869, 12.198237, 12.302606], [11.747641, 11.769848, 13.042801, 13.101719, 22.982087]]
### 4
mean: [1.252624, 0.794585, 0.544198, -0.880983, -0.339322, -0.422213]
std: [1.421577, 1.035663, 1.347923, 0.309319, 0.352046, 1.540348]
pca: [[-0.538493, 0.274030, -0.028745, 0.283629, -0.262986, 0.696060, 0.000000, 0.000000, 0.000000, 0.000000], [-0.378071, 0.273796, 0.635247, 0.361599, 0.079221, -0.491456, 0.000000, 0.000000, 0.000000, 0.000000], [0.474538, 0.753624, 0.046663, 0.038394, 0.400018, 0.207842, 0.000000, 0.000000, 0.000000, 0.000000], [-0.020075, -0.360105, -0.235464, 0.647976, 0.622052, 0.087503, 0.000000, 0.000000, 0.000000, 0.000000], [0.017026, -0.343778, 0.660296, -0.347458, 0.350162, 0.449661, 0.000000, 0.000000, 0.000000, 0.000000], [0.584130, -0.184756, 0.319411, 0.496716, -0.504961, 0.144642, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.836266, 21.319797, 23.152941, 23.863676, 112.736144], [14.712012, 15.105897, 16.835125, 19.169954, 71.512669], [17.345855, 20.560892, 20.804422, 28.093767, 48.977811], [4.717339, 5.958894, 6.786607, 6.882777, 79.288518], [5.257136, 5.810540, 5.931535, 6.850007, 30.538965], [22.802843, 23.662549, 23.935219, 25.947955, 37.999171]]
### 6
mean: [1.141954, 1.061888, 0.731016, -0.938045, -0.545070, -0.939390]
std: [1.703676, 0.693743, 0.828839, 2.014274, 1.991683, 0.575248]
pca: [[-0.490303, -0.086508, 0.511026, 0.322678, 0.534896, 0.317391, 0.000000, 0.000000, 0.000000, 0.000000], [-0.113266, 0.948423, -0.211809, 0.090772, 0.106916, 0.152090, 0.000000, 0.000000, 0.000000, 0.000000], [-0.238023, -0.110520, -0.114611, -0.120782, -0.524166, 0.792879, 0.000000, 0.000000, 0.000000, 0.000000], [0.580226, -0.084717, -0.177983, -0.272007, 0.571573, 0.473075, 0.000000, 0.000000, 0.000000, 0.000000], [0.572285, 0.203906, 0.659115, 0.281124, -0.317819, 0.128216, 0.000000, 0.000000, 0.000000, 0.000000], [0.161081, -0.179002, -0.463403, 0.848547, -0.000938, 0.085063, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.910246, 26.051448, 26.876037, 33.282913, 102.775845], [10.678025, 11.471341, 13.663354, 13.984073, 95.569966], [12.154635, 12.355413, 12.684316, 16.374107, 65.791417], [28.835703, 30.547247, 32.612154, 38.074782, 84.424012], [29.190933, 29.562570, 30.483562, 38.948298, 49.056337], [7.981308, 8.456282, 9.234452, 10.044857, 84.545140]]
### 8
mean: [-0.885623, 1.230825, -1.132240, -1.083098, -0.276916, -0.809134]
std: [0.834154, 1.337097, 2.285515, 1.037619, 2.052160, 0.564772]
pca: [[0.230840, -0.024383, 0.878814, 0.284764, -0.213279, -0.217315, 0.000000, 0.000000, 0.000000, 0.000000], [-0.363148, 0.474072, 0.075120, 0.624060, 0.415931, 0.274386, 0.000000, 0.000000, 0.000000, 0.000000], [0.634774, -0.055559, -0.412416, 0.557160, 0.073001, -0.328836, 0.000000, 0.000000, 0.000000, 0.000000], [0.285444, -0.242038, 0.224670, -0.268562, 0.857479, 0.045454, 0.000000, 0.000000, 0.000000, 0.000000], [0.560634, 0.630430, 0.036950, -0.268946, -0.126218, 0.445667, 0.000000, 0.000000, 0.000000, 0.000000], [0.126924, -0.561739, 0.010703, 0.273083, -0.158061, 0.754101, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.569732, 12.595651, 12.602111, 15.942898, 79.706055], [18.327212, 18.342023, 22.976650, 23.753742, 110.774267], [32.390632, 32.902132, 35.738012, 44.464042, 101.901584], [14.273943, 14.737451, 17.533592, 18.763105, 97.478832], [28.847568, 29.871728, 30.380810, 31.302971, 43.338812], [7.988330, 8.705886, 9.367062, 11.255786, 72.822102]]
### 10
mean: [0.244798]
std: [1.369173]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.883646, 22.031856, 22.033900, 22.716062, 28.932360]]
## 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.
has_majority
|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6994099617004395, "train_acc": 0.43, "val_loss": 0.7137423753738403, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6620322465896606, "train_acc": 0.59, "val_loss": 0.7876451015472412, "val_acc": 0.42}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6790293455123901, "train_acc": 0.59, "val_loss": 0.7900448441505432, "val_acc": 0.42}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6469017863273621, "train_acc": 0.59, "val_loss": 0.7080145478248596, "val_acc": 0.54}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6359909772872925, "train_acc": 0.635, "val_loss": 0.6559760570526123, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6001056134700775, "train_acc": 0.64, "val_loss": 0.6697273254394531, "val_acc": 0.7}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5558812916278839, "train_acc": 0.745, "val_loss": 0.6105013489723206, "val_acc": 0.7}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.557313397526741, "train_acc": 0.755, "val_loss": 0.5967918634414673, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.512100413441658, "train_acc": 0.76, "val_loss": 0.6110360622406006, "val_acc": 0.7}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.5021486729383469, "train_acc": 0.75, "val_loss": 0.6329290270805359, "val_acc": 0.68}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.5271539390087128, "train_acc": 0.745, "val_loss": 0.5505893230438232, "val_acc": 0.7}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.4445069879293442, "train_acc": 0.78, "val_loss": 0.5047061443328857, "val_acc": 0.78}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.4512163996696472, "train_acc": 0.77, "val_loss": 0.44795504212379456, "val_acc": 0.84}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.4478612244129181, "train_acc": 0.79, "val_loss": 0.46116310358047485, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.3992258757352829, "train_acc": 0.845, "val_loss": 0.47858935594558716, "val_acc": 0.84}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["has_majority"], "degraded_stage": {"initial_val_loss": 0.7137423753738403, "final_val_loss": 0.6559760570526123, "initial_val_acc": 0.42, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.6697273254394531, "final_val_loss": 0.47858935594558716, "initial_val_acc": 0.7, "final_val_acc": 0.84, "best_val_acc": 0.84, "best_epoch": 12}, "improvement": 0.33999999999999997, "first_improvement_epoch": 4}}
|
9,433
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.5, "improved_accuracy": 0.9, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4603, "learning_rate": 0.04764557417583399, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "mountain_pattern", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["mountain_pattern"], "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: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.8.weight": [
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"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [0.855380, 0.447255, 2.589578, 0.167773, 0.007744, -2.199213, 0.279125]
std: [1.031088, 1.363308, 2.218326, 0.859545, 1.942704, 1.391527, 1.809708]
pca: [[0.245405, 0.154224, -0.121758, 0.608726, -0.139762, 0.383833, -0.603123, 0.000000, 0.000000, 0.000000], [0.077045, 0.538279, 0.216798, 0.509457, -0.084669, -0.057704, 0.622313, 0.000000, 0.000000, 0.000000], [0.676621, 0.266026, -0.028302, -0.514647, -0.249219, 0.360546, 0.116828, 0.000000, 0.000000, 0.000000], [-0.161124, 0.238614, -0.197880, -0.077564, 0.778456, 0.506130, 0.098834, 0.000000, 0.000000, 0.000000], [-0.491450, 0.359187, -0.633553, -0.141938, -0.446673, 0.085094, 0.034188, 0.000000, 0.000000, 0.000000], [-0.268519, -0.467294, 0.252782, 0.081663, -0.314035, 0.670210, 0.301939, 0.000000, 0.000000, 0.000000], [-0.369376, 0.459766, 0.657973, -0.268725, -0.084018, 0.082216, -0.364988, 0.000000, 0.000000, 0.000000]]
fourier: [[15.313756, 17.122667, 17.725946, 21.202438, 76.984189], [20.147085, 20.714678, 21.911311, 22.993871, 40.252933], [33.853532, 34.301072, 37.560709, 44.519562, 233.061993], [13.026361, 13.182815, 13.768976, 14.834690, 15.099582], [29.583880, 30.085589, 31.213512, 32.054494, 34.112695], [23.810620, 25.183047, 25.630222, 26.193929, 197.929140], [27.124557, 27.967132, 28.090245, 29.596104, 40.187283]]
### 2
mean: [0.136645, 0.806368, 1.407459, -0.398378, 0.265931, 1.285220, 0.424275]
std: [0.716381, 0.823784, 1.467409, 1.269663, 0.393466, 1.235004, 0.447213]
pca: [[-0.304000, -0.184498, -0.042488, 0.468301, -0.467516, 0.658547, 0.013310, 0.000000, 0.000000, 0.000000], [0.340491, -0.167979, -0.477523, 0.352543, 0.199385, -0.043578, 0.679618, 0.000000, 0.000000, 0.000000], [0.641752, -0.318687, -0.258060, -0.093545, 0.093775, 0.334305, -0.539160, 0.000000, 0.000000, 0.000000], [0.281785, 0.851532, 0.069836, 0.097958, 0.136631, 0.399414, 0.053077, 0.000000, 0.000000, 0.000000], [-0.033001, 0.237700, -0.305538, 0.624506, -0.112940, -0.483303, -0.461207, 0.000000, 0.000000, 0.000000], [0.546032, -0.062542, 0.556826, 0.167304, -0.531780, -0.229197, 0.156752, 0.000000, 0.000000, 0.000000], [-0.034082, -0.225080, 0.543403, 0.469108, 0.647045, 0.083737, -0.084548, 0.000000, 0.000000, 0.000000]]
fourier: [[10.598574, 11.273958, 11.773073, 12.298042, 13.514737], [11.959843, 13.567650, 14.377221, 14.921492, 72.573118], [21.591073, 21.825137, 22.629602, 25.848456, 126.671282], [18.225964, 21.098820, 21.703854, 23.138048, 35.854016], [6.658807, 6.985433, 7.065614, 7.173221, 23.933767], [19.182833, 21.962661, 22.483326, 22.632162, 115.669823], [7.075416, 7.160967, 7.509921, 7.621721, 38.184720]]
### 4
mean: [0.670592, 1.613078, -0.380990, 0.930343, 0.537013, -0.565518, 1.394467]
std: [0.976692, 2.049767, 0.325967, 0.815419, 0.674331, 0.452124, 1.609511]
pca: [[0.322360, 0.076446, 0.654838, -0.546244, -0.174879, -0.301780, -0.203446, 0.000000, 0.000000, 0.000000], [0.683068, 0.162309, -0.558322, -0.194804, -0.253907, 0.208762, -0.222151, 0.000000, 0.000000, 0.000000], [-0.078103, 0.565525, -0.077767, 0.423071, -0.065732, -0.542126, -0.436834, 0.000000, 0.000000, 0.000000], [0.264487, 0.494051, 0.043917, 0.042312, 0.062952, -0.155349, 0.808792, 0.000000, 0.000000, 0.000000], [0.222016, -0.009651, 0.442112, 0.587653, -0.487210, 0.415245, -0.003777, 0.000000, 0.000000, 0.000000], [-0.130017, 0.574887, 0.185801, -0.156718, 0.423596, 0.601776, -0.227927, 0.000000, 0.000000, 0.000000], [0.535960, -0.270775, 0.146635, 0.336143, 0.692718, -0.112921, -0.111019, 0.000000, 0.000000, 0.000000]]
fourier: [[15.092898, 16.000839, 17.304557, 18.996106, 60.353265], [30.753025, 32.818441, 35.465979, 35.790723, 145.176985], [4.455682, 4.667628, 6.042185, 6.225002, 34.289121], [11.784256, 12.406712, 13.479798, 15.845534, 83.730908], [10.421739, 11.267208, 11.563113, 11.759231, 48.331208], [6.260789, 7.001159, 7.230177, 8.394914, 50.896657], [23.639135, 25.129167, 27.308660, 28.499001, 125.501994]]
### 6
mean: [-1.725288, -1.376488, -0.973792, -1.548354, 1.161863, 2.475532, 1.256353]
std: [2.692305, 1.588045, 0.898514, 2.047227, 1.560247, 2.951061, 1.422899]
pca: [[-0.509434, -0.365678, 0.294700, 0.606329, 0.341821, -0.091233, -0.164647, 0.000000, 0.000000, 0.000000], [-0.300465, 0.290984, -0.284435, -0.059375, 0.545015, 0.040314, 0.664797, 0.000000, 0.000000, 0.000000], [-0.169982, 0.020945, 0.251383, -0.253383, 0.152172, 0.887605, -0.179648, 0.000000, 0.000000, 0.000000], [-0.387206, 0.759503, -0.164210, 0.242968, -0.232425, -0.010202, -0.364833, 0.000000, 0.000000, 0.000000], [0.295026, 0.431432, 0.737247, -0.082126, 0.340082, -0.246507, -0.011259, 0.000000, 0.000000, 0.000000], [0.558444, 0.134255, -0.101909, 0.700275, 0.008265, 0.368262, 0.183468, 0.000000, 0.000000, 0.000000], [0.269213, -0.012894, -0.433789, -0.092054, 0.627069, -0.075648, -0.575998, 0.000000, 0.000000, 0.000000]]
fourier: [[39.470667, 44.433789, 47.336714, 48.953345, 155.275905], [23.057309, 26.538009, 27.755850, 29.407515, 123.883902], [12.927202, 14.944088, 15.815746, 16.380579, 87.641267], [29.121544, 34.305912, 35.407753, 38.134386, 139.351847], [23.537979, 25.899780, 27.599739, 28.727955, 104.567640], [43.310063, 48.664561, 52.273475, 53.712059, 222.797900], [20.592199, 23.471765, 24.961857, 25.882118, 113.071784]]
### 8
mean: [-1.848212]
std: [2.282047]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[33.052949, 36.890057, 40.090881, 41.491546, 166.339038]]
## 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.
|
mountain_pattern
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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## Activation Signature
### 0
mean: [0.855380, 0.447255, 2.589578, 0.167773, 0.007744, -2.199213, 0.279125]
std: [1.031088, 1.363308, 2.218326, 0.859545, 1.942704, 1.391527, 1.809708]
pca: [[0.245405, 0.154224, -0.121758, 0.608726, -0.139762, 0.383833, -0.603123, 0.000000, 0.000000, 0.000000], [0.077045, 0.538279, 0.216798, 0.509457, -0.084669, -0.057704, 0.622313, 0.000000, 0.000000, 0.000000], [0.676621, 0.266026, -0.028302, -0.514647, -0.249219, 0.360546, 0.116828, 0.000000, 0.000000, 0.000000], [-0.161124, 0.238614, -0.197880, -0.077564, 0.778456, 0.506130, 0.098834, 0.000000, 0.000000, 0.000000], [-0.491450, 0.359187, -0.633553, -0.141938, -0.446673, 0.085094, 0.034188, 0.000000, 0.000000, 0.000000], [-0.268519, -0.467294, 0.252782, 0.081663, -0.314035, 0.670210, 0.301939, 0.000000, 0.000000, 0.000000], [-0.369376, 0.459766, 0.657973, -0.268725, -0.084018, 0.082216, -0.364988, 0.000000, 0.000000, 0.000000]]
fourier: [[15.313756, 17.122667, 17.725946, 21.202438, 76.984189], [20.147085, 20.714678, 21.911311, 22.993871, 40.252933], [33.853532, 34.301072, 37.560709, 44.519562, 233.061993], [13.026361, 13.182815, 13.768976, 14.834690, 15.099582], [29.583880, 30.085589, 31.213512, 32.054494, 34.112695], [23.810620, 25.183047, 25.630222, 26.193929, 197.929140], [27.124557, 27.967132, 28.090245, 29.596104, 40.187283]]
### 2
mean: [0.136645, 0.806368, 1.407459, -0.398378, 0.265931, 1.285220, 0.424275]
std: [0.716381, 0.823784, 1.467409, 1.269663, 0.393466, 1.235004, 0.447213]
pca: [[-0.304000, -0.184498, -0.042488, 0.468301, -0.467516, 0.658547, 0.013310, 0.000000, 0.000000, 0.000000], [0.340491, -0.167979, -0.477523, 0.352543, 0.199385, -0.043578, 0.679618, 0.000000, 0.000000, 0.000000], [0.641752, -0.318687, -0.258060, -0.093545, 0.093775, 0.334305, -0.539160, 0.000000, 0.000000, 0.000000], [0.281785, 0.851532, 0.069836, 0.097958, 0.136631, 0.399414, 0.053077, 0.000000, 0.000000, 0.000000], [-0.033001, 0.237700, -0.305538, 0.624506, -0.112940, -0.483303, -0.461207, 0.000000, 0.000000, 0.000000], [0.546032, -0.062542, 0.556826, 0.167304, -0.531780, -0.229197, 0.156752, 0.000000, 0.000000, 0.000000], [-0.034082, -0.225080, 0.543403, 0.469108, 0.647045, 0.083737, -0.084548, 0.000000, 0.000000, 0.000000]]
fourier: [[10.598574, 11.273958, 11.773073, 12.298042, 13.514737], [11.959843, 13.567650, 14.377221, 14.921492, 72.573118], [21.591073, 21.825137, 22.629602, 25.848456, 126.671282], [18.225964, 21.098820, 21.703854, 23.138048, 35.854016], [6.658807, 6.985433, 7.065614, 7.173221, 23.933767], [19.182833, 21.962661, 22.483326, 22.632162, 115.669823], [7.075416, 7.160967, 7.509921, 7.621721, 38.184720]]
### 4
mean: [0.670592, 1.613078, -0.380990, 0.930343, 0.537013, -0.565518, 1.394467]
std: [0.976692, 2.049767, 0.325967, 0.815419, 0.674331, 0.452124, 1.609511]
pca: [[0.322360, 0.076446, 0.654838, -0.546244, -0.174879, -0.301780, -0.203446, 0.000000, 0.000000, 0.000000], [0.683068, 0.162309, -0.558322, -0.194804, -0.253907, 0.208762, -0.222151, 0.000000, 0.000000, 0.000000], [-0.078103, 0.565525, -0.077767, 0.423071, -0.065732, -0.542126, -0.436834, 0.000000, 0.000000, 0.000000], [0.264487, 0.494051, 0.043917, 0.042312, 0.062952, -0.155349, 0.808792, 0.000000, 0.000000, 0.000000], [0.222016, -0.009651, 0.442112, 0.587653, -0.487210, 0.415245, -0.003777, 0.000000, 0.000000, 0.000000], [-0.130017, 0.574887, 0.185801, -0.156718, 0.423596, 0.601776, -0.227927, 0.000000, 0.000000, 0.000000], [0.535960, -0.270775, 0.146635, 0.336143, 0.692718, -0.112921, -0.111019, 0.000000, 0.000000, 0.000000]]
fourier: [[15.092898, 16.000839, 17.304557, 18.996106, 60.353265], [30.753025, 32.818441, 35.465979, 35.790723, 145.176985], [4.455682, 4.667628, 6.042185, 6.225002, 34.289121], [11.784256, 12.406712, 13.479798, 15.845534, 83.730908], [10.421739, 11.267208, 11.563113, 11.759231, 48.331208], [6.260789, 7.001159, 7.230177, 8.394914, 50.896657], [23.639135, 25.129167, 27.308660, 28.499001, 125.501994]]
### 6
mean: [-1.725288, -1.376488, -0.973792, -1.548354, 1.161863, 2.475532, 1.256353]
std: [2.692305, 1.588045, 0.898514, 2.047227, 1.560247, 2.951061, 1.422899]
pca: [[-0.509434, -0.365678, 0.294700, 0.606329, 0.341821, -0.091233, -0.164647, 0.000000, 0.000000, 0.000000], [-0.300465, 0.290984, -0.284435, -0.059375, 0.545015, 0.040314, 0.664797, 0.000000, 0.000000, 0.000000], [-0.169982, 0.020945, 0.251383, -0.253383, 0.152172, 0.887605, -0.179648, 0.000000, 0.000000, 0.000000], [-0.387206, 0.759503, -0.164210, 0.242968, -0.232425, -0.010202, -0.364833, 0.000000, 0.000000, 0.000000], [0.295026, 0.431432, 0.737247, -0.082126, 0.340082, -0.246507, -0.011259, 0.000000, 0.000000, 0.000000], [0.558444, 0.134255, -0.101909, 0.700275, 0.008265, 0.368262, 0.183468, 0.000000, 0.000000, 0.000000], [0.269213, -0.012894, -0.433789, -0.092054, 0.627069, -0.075648, -0.575998, 0.000000, 0.000000, 0.000000]]
fourier: [[39.470667, 44.433789, 47.336714, 48.953345, 155.275905], [23.057309, 26.538009, 27.755850, 29.407515, 123.883902], [12.927202, 14.944088, 15.815746, 16.380579, 87.641267], [29.121544, 34.305912, 35.407753, 38.134386, 139.351847], [23.537979, 25.899780, 27.599739, 28.727955, 104.567640], [43.310063, 48.664561, 52.273475, 53.712059, 222.797900], [20.592199, 23.471765, 24.961857, 25.882118, 113.071784]]
### 8
mean: [-1.848212]
std: [2.282047]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[33.052949, 36.890057, 40.090881, 41.491546, 166.339038]]
## 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.
mountain_pattern
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.233149, 0.221105, -0.28699, -0.059612, 0.417807], [-0.137289, 0.40086, -0.388421, 0.25818, 0.402545], [0.54709, 0.640471, 0.178761, 0.104849, 0.308949], [-0.14747, -0.273423, 0.040306, 0.332059, 0.087959], [-0.749488, -0.443961, 0.270952, 0.242288, 0.355746], [-0.149914, -0.203181, -0.016788, -0.331897, -0.454897], [-0.678384, 0.23941, -0.108406, 0.410315, -0.224342]], "network.0.bias": [0.374365, -0.351108, -0.237618, -0.05523, 0.225122, -0.33457, 0.310315], "network.2.weight": [[-0.371299, 0.170913, -0.103893, 0.186042, 0.196803, 0.117386, 0.197843], [0.22518, 0.142612, 0.198771, -0.472028, -0.228796, -0.389548, 0.170058], [0.582457, 0.222254, 0.347307, -0.36138, -0.376793, -0.248546, 0.009333], [-0.06075, -0.578551, 0.152569, -0.31233, -0.302082, -0.149585, -0.532752], [-0.267746, -0.116175, 0.031197, -0.257288, -0.058465, -0.672729, 0.043227], [0.279961, -0.047352, 0.418886, 0.160677, -0.165549, 0.018964, -0.369106], [-0.105191, 0.047049, 0.107735, 0.097498, 0.409493, 0.163027, 0.022962]], "network.2.bias": [0.28211, 0.150785, 0.208128, 0.323953, 0.530729, 0.345971, -0.090937], "network.4.weight": [[0.09005, 0.438803, 0.37336, 0.426369, 0.314224, 0.015535, -0.226468], [-0.373153, 0.524594, 0.55957, 0.392534, 0.145389, 0.551296, -0.13827], [-0.251004, -0.2506, -0.134467, 0.12227, -0.019348, 0.038092, -0.23871], [-0.297106, 0.297211, 0.078467, 0.338016, 0.080892, 0.240055, -0.29764], [-0.297514, -0.054528, 0.592828, 0.140824, 0.27588, -0.198081, 0.013292], [0.012214, -0.084547, -0.288481, 0.169207, 0.222631, 0.043766, -0.285961], [-0.259434, 0.520253, 0.61478, -0.009215, 0.154486, 0.223133, -0.059741]], "network.4.bias": [-0.274646, -0.165232, 0.062867, 0.40736, -0.010693, -0.150921, -0.041864], "network.6.weight": [[-0.073276, -0.565787, -0.426393, -0.441392, -0.447906, -0.610254, -0.548043], [-0.362914, -0.262501, -0.27082, -0.295384, -0.620576, 0.08633, -0.072369], [-0.211548, -0.171304, -0.578285, 0.007994, 0.000859, 0.070517, -0.237998], [-0.453527, 0.012688, -0.211605, -0.693273, -0.567769, -0.214569, -0.473645], [0.277021, 0.441554, -0.13577, 0.321256, 0.044091, 0.180671, 0.081121], [0.499123, 0.575447, 0.326965, 0.353237, 0.477103, -0.13187, 0.478146], [0.091267, 0.075229, -0.040238, 0.353401, -0.045208, 0.596639, 0.585002]], "network.6.bias": [0.452554, -0.085343, -0.293287, 0.180722, -0.127695, 0.060275, 0.072412], "network.8.weight": [[0.659553, 0.098737, 0.012816, 0.646759, -0.174398, -0.450834, -0.411842]], "network.8.bias": [-0.109963]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6806480884552002, "train_acc": 0.575, "val_loss": 0.6824167370796204, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6503955721855164, "train_acc": 0.575, "val_loss": 0.6124768853187561, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6052941083908081, "train_acc": 0.64, "val_loss": 0.5036097168922424, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5138414204120636, "train_acc": 0.8, "val_loss": 0.35596221685409546, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3870764374732971, "train_acc": 0.84, "val_loss": 0.39492782950401306, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.37928302586078644, "train_acc": 0.825, "val_loss": 0.2776784598827362, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.36848126351833344, "train_acc": 0.835, "val_loss": 0.2749670147895813, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.30084505677223206, "train_acc": 0.87, "val_loss": 0.37600627541542053, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.3619557321071625, "train_acc": 0.85, "val_loss": 0.2954241931438446, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.321033738553524, "train_acc": 0.875, "val_loss": 0.30872833728790283, "val_acc": 0.88}], "summary": {"total_epochs": 10, "degraded_epochs": 2, "improved_epochs": 8, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.6824167370796204, "final_val_loss": 0.6124768853187561, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.5036097168922424, "final_val_loss": 0.30872833728790283, "initial_val_acc": 0.82, "final_val_acc": 0.88, "best_val_acc": 0.9, "best_epoch": 3}, "improvement": 0.4, "first_improvement_epoch": 1}}
|
9,434
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.42, "improved_accuracy": 0.96, "improvement": 0.54, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1458, "learning_rate": 0.030232943982009104, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "no_repeats", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["no_repeats"], "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: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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## Activation Signature
### 0
mean: [-1.405609, 0.634592, 1.655208, 0.008102, 1.138807, 2.873604, 2.099211, 0.776643]
std: [0.901629, 2.445412, 2.104077, 1.379106, 2.779006, 1.986673, 1.541386, 1.948052]
pca: [[0.005608, -0.311810, -0.127499, 0.193867, -0.091607, 0.547556, 0.682139, 0.274553, 0.000000, 0.000000], [0.514886, 0.003501, 0.377786, 0.758643, 0.050796, -0.024421, -0.114863, -0.015760, 0.000000, 0.000000], [0.348836, 0.127529, 0.637068, -0.542425, 0.226499, 0.310909, 0.116901, -0.018363, 0.000000, 0.000000], [-0.251994, 0.288411, -0.149607, 0.187014, 0.286382, 0.708098, -0.362487, -0.284864, 0.000000, 0.000000], [0.613864, -0.062361, -0.440991, -0.181235, -0.315221, 0.118946, 0.010067, -0.527588, 0.000000, 0.000000], [0.122479, 0.703874, -0.070477, -0.009028, -0.513557, 0.116666, -0.035130, 0.453790, 0.000000, 0.000000], [0.035752, 0.542387, -0.182671, 0.103971, 0.467300, -0.271546, 0.559369, -0.235287, 0.000000, 0.000000], [0.395683, -0.099026, -0.424235, -0.118063, 0.523677, 0.004766, -0.249401, 0.550684, 0.000000, 0.000000]]
fourier: [[14.075210, 14.085340, 16.339618, 17.337221, 126.504792], [39.968964, 42.121016, 44.043815, 52.616830, 57.113304], [33.053138, 36.234808, 37.833687, 49.475689, 148.968737], [23.322392, 23.966338, 24.076207, 24.297402, 30.608886], [41.746237, 42.947213, 48.096362, 52.102075, 102.492626], [30.927661, 32.244221, 32.699584, 37.874122, 258.624378], [23.338155, 23.346783, 24.780570, 28.732421, 188.929030], [28.868254, 28.949284, 32.615433, 36.211492, 69.897861]]
### 2
mean: [-1.036721, 1.975596, -1.367044, -0.382415, -1.480307, 5.743453, 0.042878, 2.629291]
std: [0.870432, 2.624102, 1.448555, 1.678698, 1.055497, 4.935977, 2.637761, 2.943650]
pca: [[-0.102757, -0.184304, -0.287575, 0.475891, -0.465425, -0.315980, 0.231477, -0.525601, 0.000000, 0.000000], [0.374113, -0.123772, -0.401910, -0.065325, -0.475864, 0.643008, -0.176866, 0.087940, 0.000000, 0.000000], [-0.207532, -0.031341, -0.180122, 0.032411, 0.512057, 0.555821, 0.410926, -0.427146, 0.000000, 0.000000], [-0.200292, 0.409066, -0.029174, 0.708468, 0.132620, 0.203738, -0.468207, 0.107024, 0.000000, 0.000000], [-0.104170, -0.306659, -0.433234, 0.265943, 0.169000, -0.110955, 0.361527, 0.681995, 0.000000, 0.000000], [0.694501, 0.489024, -0.325563, 0.047329, 0.262993, -0.256222, 0.163802, -0.092985, 0.000000, 0.000000], [-0.316481, 0.653457, 0.041739, -0.135318, -0.415796, 0.119329, 0.477467, 0.194112, 0.000000, 0.000000], [0.415873, -0.149014, 0.653490, 0.418337, -0.080804, 0.209883, 0.376233, 0.103242, 0.000000, 0.000000]]
fourier: [[13.954474, 14.160390, 14.301984, 17.387004, 93.304878], [44.278452, 44.714785, 46.253390, 46.738988, 177.803589], [24.874504, 25.504240, 26.206101, 27.938031, 123.033996], [26.437337, 28.760818, 31.369603, 31.552759, 34.417358], [16.508377, 18.717225, 18.742593, 21.860586, 133.227662], [80.709413, 81.266346, 88.281790, 90.371385, 516.910741], [39.890613, 41.268985, 42.036469, 49.853502, 49.903041], [51.527421, 52.073615, 52.422081, 60.784082, 236.636235]]
### 4
mean: [3.944197, 2.697468, 1.284219, -1.674419, -0.918313, -2.336901, -2.126788, -0.863132]
std: [4.266152, 1.710348, 1.058101, 1.477766, 0.292590, 1.615339, 1.480075, 1.009006]
pca: [[0.806242, -0.457231, 0.156478, 0.273137, 0.044287, -0.182618, -0.071456, -0.037512, 0.000000, 0.000000], [0.303263, 0.370909, 0.121831, -0.229434, 0.520758, 0.383445, -0.402791, 0.350023, 0.000000, 0.000000], [-0.004013, 0.584590, 0.051485, 0.727241, 0.127088, -0.330683, 0.013806, 0.031846, 0.000000, 0.000000], [-0.274692, -0.197977, 0.448447, -0.092902, -0.119407, -0.486760, -0.330406, 0.561473, 0.000000, 0.000000], [-0.025323, -0.144622, 0.023143, -0.008928, 0.434149, -0.030145, 0.772658, 0.437531, 0.000000, 0.000000], [-0.288326, -0.332384, -0.313703, 0.055915, 0.675602, -0.289494, -0.294510, -0.279055, 0.000000, 0.000000], [-0.253481, -0.371248, -0.080334, 0.572451, -0.077030, 0.584915, -0.169633, 0.294845, 0.000000, 0.000000], [-0.185761, -0.056622, 0.807167, 0.065868, 0.213503, 0.215621, 0.103839, -0.451189, 0.000000, 0.000000]]
fourier: [[73.427264, 74.400373, 79.221557, 79.523405, 354.977692], [27.325402, 29.196841, 31.413553, 34.303699, 242.772088], [15.938718, 16.300514, 16.802992, 16.889022, 115.579741], [24.452549, 25.154236, 27.683200, 28.221881, 150.697741], [4.232256, 4.314602, 5.378807, 5.782244, 82.648138], [26.626196, 27.085635, 29.216868, 32.522398, 210.321083], [22.132750, 26.055198, 26.123695, 30.018799, 191.410948], [17.062379, 17.220415, 18.123499, 18.776003, 77.681909]]
### 6
mean: [-0.464891, -1.331446, 3.355630, 3.463399, -1.154155, 1.979435, -0.802567, -0.721115]
std: [0.825230, 0.677442, 2.908846, 2.965378, 2.599666, 2.112009, 0.472994, 0.994903]
pca: [[-0.138102, 0.265100, -0.005607, 0.240336, 0.436598, -0.023284, 0.810710, 0.066674, 0.000000, 0.000000], [-0.003472, -0.502119, 0.241230, 0.211841, -0.316752, 0.668908, 0.281252, 0.133880, 0.000000, 0.000000], [0.529451, 0.426165, 0.226060, -0.176792, -0.039545, 0.157081, -0.023245, 0.654926, 0.000000, 0.000000], [0.548644, 0.184692, -0.288488, 0.620394, 0.066672, 0.215288, -0.153805, -0.349734, 0.000000, 0.000000], [-0.463852, 0.533019, 0.522345, 0.310147, -0.132714, 0.181015, -0.254373, -0.128887, 0.000000, 0.000000], [0.392114, 0.001050, 0.544224, -0.386185, 0.063129, -0.005611, 0.199684, -0.597525, 0.000000, 0.000000], [0.010525, -0.348039, 0.322112, 0.147638, 0.772469, 0.057102, -0.354038, 0.167015, 0.000000, 0.000000], [-0.174823, 0.237970, -0.366973, -0.462699, 0.291093, 0.667037, -0.097610, -0.157628, 0.000000, 0.000000]]
fourier: [[14.561084, 15.028711, 15.119661, 15.672770, 41.840166], [10.617874, 11.038136, 11.344933, 12.048725, 119.830113], [49.821227, 50.391289, 52.888422, 53.383920, 302.006664], [51.605039, 52.368788, 54.135451, 54.395427, 311.705882], [45.476113, 47.305714, 48.006659, 50.485414, 103.873906], [36.692631, 37.230241, 39.186133, 39.448341, 178.149175], [7.522005, 7.607591, 7.677070, 7.740457, 72.231046], [17.552658, 18.029396, 18.637462, 19.005706, 64.900334]]
### 8
mean: [0.587247, 2.768842, -0.695805, 3.100033, 0.600575, 2.919000, 0.241509, 0.009148]
std: [0.434361, 2.264063, 0.510767, 2.736344, 1.078373, 2.896409, 0.521386, 0.691134]
pca: [[0.032755, 0.481976, 0.224484, 0.215551, 0.050055, 0.372747, -0.400077, 0.606847, 0.000000, 0.000000], [0.474521, -0.185694, -0.425857, -0.307506, 0.300624, 0.611521, 0.003668, -0.009368, 0.000000, 0.000000], [-0.106952, -0.035925, 0.232844, -0.304823, 0.540642, -0.180744, 0.536632, 0.476656, 0.000000, 0.000000], [0.574802, 0.084938, 0.143154, 0.651746, 0.345978, -0.166858, 0.187963, -0.185069, 0.000000, 0.000000], [0.225337, -0.090073, 0.718199, -0.407512, 0.150394, 0.016312, -0.363056, -0.323328, 0.000000, 0.000000], [0.607492, 0.212427, -0.075206, -0.335105, -0.482761, -0.386683, 0.085720, 0.279190, 0.000000, 0.000000], [-0.057353, 0.528408, 0.212986, -0.085299, -0.242750, 0.421257, 0.564248, -0.331807, 0.000000, 0.000000], [-0.093854, 0.626306, -0.355971, -0.235905, 0.424877, -0.315189, -0.243079, -0.278592, 0.000000, 0.000000]]
fourier: [[7.421593, 8.412154, 8.436918, 8.541986, 52.852253], [40.207715, 40.222429, 40.243713, 45.582854, 249.195795], [8.553575, 9.059549, 9.262016, 9.808998, 62.622421], [46.985870, 48.476676, 49.922911, 52.618158, 279.002933], [19.187384, 19.272002, 19.788538, 20.963136, 54.051757], [48.940851, 51.323069, 53.018043, 54.894518, 262.709968], [7.843552, 8.248694, 9.009436, 10.249228, 21.735830], [10.022291, 10.781096, 11.375765, 12.620914, 13.863458]]
### 10
mean: [-4.846225]
std: [4.496380]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[79.318205, 79.921384, 81.311595, 89.218256, 436.160255]]
## 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.
|
no_repeats
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.10.bias": [
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}
## Activation Signature
### 0
mean: [-1.405609, 0.634592, 1.655208, 0.008102, 1.138807, 2.873604, 2.099211, 0.776643]
std: [0.901629, 2.445412, 2.104077, 1.379106, 2.779006, 1.986673, 1.541386, 1.948052]
pca: [[0.005608, -0.311810, -0.127499, 0.193867, -0.091607, 0.547556, 0.682139, 0.274553, 0.000000, 0.000000], [0.514886, 0.003501, 0.377786, 0.758643, 0.050796, -0.024421, -0.114863, -0.015760, 0.000000, 0.000000], [0.348836, 0.127529, 0.637068, -0.542425, 0.226499, 0.310909, 0.116901, -0.018363, 0.000000, 0.000000], [-0.251994, 0.288411, -0.149607, 0.187014, 0.286382, 0.708098, -0.362487, -0.284864, 0.000000, 0.000000], [0.613864, -0.062361, -0.440991, -0.181235, -0.315221, 0.118946, 0.010067, -0.527588, 0.000000, 0.000000], [0.122479, 0.703874, -0.070477, -0.009028, -0.513557, 0.116666, -0.035130, 0.453790, 0.000000, 0.000000], [0.035752, 0.542387, -0.182671, 0.103971, 0.467300, -0.271546, 0.559369, -0.235287, 0.000000, 0.000000], [0.395683, -0.099026, -0.424235, -0.118063, 0.523677, 0.004766, -0.249401, 0.550684, 0.000000, 0.000000]]
fourier: [[14.075210, 14.085340, 16.339618, 17.337221, 126.504792], [39.968964, 42.121016, 44.043815, 52.616830, 57.113304], [33.053138, 36.234808, 37.833687, 49.475689, 148.968737], [23.322392, 23.966338, 24.076207, 24.297402, 30.608886], [41.746237, 42.947213, 48.096362, 52.102075, 102.492626], [30.927661, 32.244221, 32.699584, 37.874122, 258.624378], [23.338155, 23.346783, 24.780570, 28.732421, 188.929030], [28.868254, 28.949284, 32.615433, 36.211492, 69.897861]]
### 2
mean: [-1.036721, 1.975596, -1.367044, -0.382415, -1.480307, 5.743453, 0.042878, 2.629291]
std: [0.870432, 2.624102, 1.448555, 1.678698, 1.055497, 4.935977, 2.637761, 2.943650]
pca: [[-0.102757, -0.184304, -0.287575, 0.475891, -0.465425, -0.315980, 0.231477, -0.525601, 0.000000, 0.000000], [0.374113, -0.123772, -0.401910, -0.065325, -0.475864, 0.643008, -0.176866, 0.087940, 0.000000, 0.000000], [-0.207532, -0.031341, -0.180122, 0.032411, 0.512057, 0.555821, 0.410926, -0.427146, 0.000000, 0.000000], [-0.200292, 0.409066, -0.029174, 0.708468, 0.132620, 0.203738, -0.468207, 0.107024, 0.000000, 0.000000], [-0.104170, -0.306659, -0.433234, 0.265943, 0.169000, -0.110955, 0.361527, 0.681995, 0.000000, 0.000000], [0.694501, 0.489024, -0.325563, 0.047329, 0.262993, -0.256222, 0.163802, -0.092985, 0.000000, 0.000000], [-0.316481, 0.653457, 0.041739, -0.135318, -0.415796, 0.119329, 0.477467, 0.194112, 0.000000, 0.000000], [0.415873, -0.149014, 0.653490, 0.418337, -0.080804, 0.209883, 0.376233, 0.103242, 0.000000, 0.000000]]
fourier: [[13.954474, 14.160390, 14.301984, 17.387004, 93.304878], [44.278452, 44.714785, 46.253390, 46.738988, 177.803589], [24.874504, 25.504240, 26.206101, 27.938031, 123.033996], [26.437337, 28.760818, 31.369603, 31.552759, 34.417358], [16.508377, 18.717225, 18.742593, 21.860586, 133.227662], [80.709413, 81.266346, 88.281790, 90.371385, 516.910741], [39.890613, 41.268985, 42.036469, 49.853502, 49.903041], [51.527421, 52.073615, 52.422081, 60.784082, 236.636235]]
### 4
mean: [3.944197, 2.697468, 1.284219, -1.674419, -0.918313, -2.336901, -2.126788, -0.863132]
std: [4.266152, 1.710348, 1.058101, 1.477766, 0.292590, 1.615339, 1.480075, 1.009006]
pca: [[0.806242, -0.457231, 0.156478, 0.273137, 0.044287, -0.182618, -0.071456, -0.037512, 0.000000, 0.000000], [0.303263, 0.370909, 0.121831, -0.229434, 0.520758, 0.383445, -0.402791, 0.350023, 0.000000, 0.000000], [-0.004013, 0.584590, 0.051485, 0.727241, 0.127088, -0.330683, 0.013806, 0.031846, 0.000000, 0.000000], [-0.274692, -0.197977, 0.448447, -0.092902, -0.119407, -0.486760, -0.330406, 0.561473, 0.000000, 0.000000], [-0.025323, -0.144622, 0.023143, -0.008928, 0.434149, -0.030145, 0.772658, 0.437531, 0.000000, 0.000000], [-0.288326, -0.332384, -0.313703, 0.055915, 0.675602, -0.289494, -0.294510, -0.279055, 0.000000, 0.000000], [-0.253481, -0.371248, -0.080334, 0.572451, -0.077030, 0.584915, -0.169633, 0.294845, 0.000000, 0.000000], [-0.185761, -0.056622, 0.807167, 0.065868, 0.213503, 0.215621, 0.103839, -0.451189, 0.000000, 0.000000]]
fourier: [[73.427264, 74.400373, 79.221557, 79.523405, 354.977692], [27.325402, 29.196841, 31.413553, 34.303699, 242.772088], [15.938718, 16.300514, 16.802992, 16.889022, 115.579741], [24.452549, 25.154236, 27.683200, 28.221881, 150.697741], [4.232256, 4.314602, 5.378807, 5.782244, 82.648138], [26.626196, 27.085635, 29.216868, 32.522398, 210.321083], [22.132750, 26.055198, 26.123695, 30.018799, 191.410948], [17.062379, 17.220415, 18.123499, 18.776003, 77.681909]]
### 6
mean: [-0.464891, -1.331446, 3.355630, 3.463399, -1.154155, 1.979435, -0.802567, -0.721115]
std: [0.825230, 0.677442, 2.908846, 2.965378, 2.599666, 2.112009, 0.472994, 0.994903]
pca: [[-0.138102, 0.265100, -0.005607, 0.240336, 0.436598, -0.023284, 0.810710, 0.066674, 0.000000, 0.000000], [-0.003472, -0.502119, 0.241230, 0.211841, -0.316752, 0.668908, 0.281252, 0.133880, 0.000000, 0.000000], [0.529451, 0.426165, 0.226060, -0.176792, -0.039545, 0.157081, -0.023245, 0.654926, 0.000000, 0.000000], [0.548644, 0.184692, -0.288488, 0.620394, 0.066672, 0.215288, -0.153805, -0.349734, 0.000000, 0.000000], [-0.463852, 0.533019, 0.522345, 0.310147, -0.132714, 0.181015, -0.254373, -0.128887, 0.000000, 0.000000], [0.392114, 0.001050, 0.544224, -0.386185, 0.063129, -0.005611, 0.199684, -0.597525, 0.000000, 0.000000], [0.010525, -0.348039, 0.322112, 0.147638, 0.772469, 0.057102, -0.354038, 0.167015, 0.000000, 0.000000], [-0.174823, 0.237970, -0.366973, -0.462699, 0.291093, 0.667037, -0.097610, -0.157628, 0.000000, 0.000000]]
fourier: [[14.561084, 15.028711, 15.119661, 15.672770, 41.840166], [10.617874, 11.038136, 11.344933, 12.048725, 119.830113], [49.821227, 50.391289, 52.888422, 53.383920, 302.006664], [51.605039, 52.368788, 54.135451, 54.395427, 311.705882], [45.476113, 47.305714, 48.006659, 50.485414, 103.873906], [36.692631, 37.230241, 39.186133, 39.448341, 178.149175], [7.522005, 7.607591, 7.677070, 7.740457, 72.231046], [17.552658, 18.029396, 18.637462, 19.005706, 64.900334]]
### 8
mean: [0.587247, 2.768842, -0.695805, 3.100033, 0.600575, 2.919000, 0.241509, 0.009148]
std: [0.434361, 2.264063, 0.510767, 2.736344, 1.078373, 2.896409, 0.521386, 0.691134]
pca: [[0.032755, 0.481976, 0.224484, 0.215551, 0.050055, 0.372747, -0.400077, 0.606847, 0.000000, 0.000000], [0.474521, -0.185694, -0.425857, -0.307506, 0.300624, 0.611521, 0.003668, -0.009368, 0.000000, 0.000000], [-0.106952, -0.035925, 0.232844, -0.304823, 0.540642, -0.180744, 0.536632, 0.476656, 0.000000, 0.000000], [0.574802, 0.084938, 0.143154, 0.651746, 0.345978, -0.166858, 0.187963, -0.185069, 0.000000, 0.000000], [0.225337, -0.090073, 0.718199, -0.407512, 0.150394, 0.016312, -0.363056, -0.323328, 0.000000, 0.000000], [0.607492, 0.212427, -0.075206, -0.335105, -0.482761, -0.386683, 0.085720, 0.279190, 0.000000, 0.000000], [-0.057353, 0.528408, 0.212986, -0.085299, -0.242750, 0.421257, 0.564248, -0.331807, 0.000000, 0.000000], [-0.093854, 0.626306, -0.355971, -0.235905, 0.424877, -0.315189, -0.243079, -0.278592, 0.000000, 0.000000]]
fourier: [[7.421593, 8.412154, 8.436918, 8.541986, 52.852253], [40.207715, 40.222429, 40.243713, 45.582854, 249.195795], [8.553575, 9.059549, 9.262016, 9.808998, 62.622421], [46.985870, 48.476676, 49.922911, 52.618158, 279.002933], [19.187384, 19.272002, 19.788538, 20.963136, 54.051757], [48.940851, 51.323069, 53.018043, 54.894518, 262.709968], [7.843552, 8.248694, 9.009436, 10.249228, 21.735830], [10.022291, 10.781096, 11.375765, 12.620914, 13.863458]]
### 10
mean: [-4.846225]
std: [4.496380]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[79.318205, 79.921384, 81.311595, 89.218256, 436.160255]]
## 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.
no_repeats
|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6800966262817383, "train_acc": 0.59, "val_loss": 0.7307560443878174, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6777315437793732, "train_acc": 0.59, "val_loss": 0.7404481768608093, "val_acc": 0.42}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.669636070728302, "train_acc": 0.59, "val_loss": 0.7224187254905701, "val_acc": 0.42}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6523139476776123, "train_acc": 0.59, "val_loss": 0.6654489040374756, "val_acc": 0.42}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6211872398853302, "train_acc": 0.61, "val_loss": 0.5206459760665894, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5387057960033417, "train_acc": 0.8, "val_loss": 0.4042365252971649, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.4824874997138977, "train_acc": 0.785, "val_loss": 0.3583946228027344, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.5074927806854248, "train_acc": 0.755, "val_loss": 0.3603469431400299, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.40466275811195374, "train_acc": 0.785, "val_loss": 0.3299890458583832, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.42046040296554565, "train_acc": 0.805, "val_loss": 0.33455750346183777, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.40043167769908905, "train_acc": 0.82, "val_loss": 0.3113912045955658, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.36196358501911163, "train_acc": 0.84, "val_loss": 0.2893475294113159, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.35746708512306213, "train_acc": 0.85, "val_loss": 0.26247531175613403, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.3525110334157944, "train_acc": 0.86, "val_loss": 0.22690433263778687, "val_acc": 0.96}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.7307560443878174, "final_val_loss": 0.6654489040374756, "initial_val_acc": 0.42, "final_val_acc": 0.42, "best_val_acc": 0.42}, "improved_stage": {"initial_val_loss": 0.5206459760665894, "final_val_loss": 0.22690433263778687, "initial_val_acc": 0.82, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 13}, "improvement": 0.54, "first_improvement_epoch": 3}}
|
9,435
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.48, "improved_accuracy": 0.72, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6083, "learning_rate": 0.034521102315801556, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "increasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["increasing_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: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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## Activation Signature
### 0
mean: [-0.949819, -0.056565, -1.229289, 1.145754, -1.161449]
std: [0.409240, 1.418131, 0.982657, 1.120125, 0.805916]
pca: [[-0.173785, -0.219131, 0.086251, -0.458211, 0.839276, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.727609, -0.087327, 0.678419, -0.015551, 0.049651, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.434803, -0.446611, 0.415962, 0.653405, 0.107344, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.330130, 0.819733, 0.451747, 0.033704, 0.117645, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.377286, -0.270059, 0.393966, -0.601437, -0.517482, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.350572, 6.829864, 7.601343, 8.986897, 85.483684], [20.234151, 21.110354, 21.993271, 23.123976, 25.434933], [15.136024, 15.726084, 18.976388, 22.675845, 110.636021], [16.515208, 18.521667, 19.244679, 20.424047, 103.117836], [11.427283, 12.595199, 15.125834, 18.896629, 104.530436]]
### 2
mean: [-0.449941, 0.877048, 1.317791, -0.976864, 0.270550]
std: [0.843519, 0.375368, 0.911377, 0.473440, 0.670959]
pca: [[0.601920, -0.086695, -0.145563, 0.778196, -0.058304, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.260045, -0.115703, -0.623453, 0.125376, 0.717340, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.598801, 0.573790, 0.090214, 0.533518, -0.139366, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.238569, -0.525960, 0.674202, 0.279452, 0.365800, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.393181, 0.610924, 0.356975, -0.126324, 0.573404, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.707029, 13.806282, 15.245632, 15.373065, 40.494675], [5.529697, 6.294270, 6.521467, 7.555658, 78.934375], [13.927515, 14.098715, 14.242474, 16.443285, 118.601145], [6.921716, 7.905671, 8.581514, 11.001785, 87.917755], [10.432382, 11.234020, 13.411191, 13.426186, 24.349541]]
### 4
mean: [1.116056, 1.940580, 1.891037, -0.626711, 0.536997]
std: [0.639501, 0.914175, 1.219748, 0.207643, 0.343009]
pca: [[0.378585, 0.267509, 0.804104, -0.145175, 0.342716, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.543543, 0.343077, -0.333348, -0.599974, -0.340248, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.723412, -0.539087, -0.183225, 0.338382, 0.194899, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.043174, 0.598525, -0.432433, 0.272711, 0.615251, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.189857, 0.402355, 0.147399, 0.655806, -0.591825, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.586949, 10.286440, 11.300533, 12.468003, 100.445024], [13.822505, 13.851738, 16.617775, 17.890296, 174.652161], [18.498830, 19.928724, 20.854945, 20.960933, 170.193325], [3.012084, 3.076775, 3.692621, 3.838400, 56.403978], [4.731807, 5.643300, 6.982189, 6.997873, 48.329714]]
### 6
mean: [-1.360675, 3.259244, -0.510430, -0.647023, -2.798761]
std: [0.920936, 1.716162, 0.062591, 0.068110, 1.571474]
pca: [[-0.367811, -0.263113, 0.666832, 0.210190, -0.553753, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.685473, -0.534530, 0.393727, 0.055328, 0.293807, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.010009, 0.648144, 0.516006, 0.336303, 0.447713, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.026379, -0.159765, -0.365799, 0.915851, -0.034474, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.627730, -0.446580, 0.015623, -0.029616, 0.636710, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.841823, 13.903273, 15.669061, 16.849307, 122.460774], [25.907725, 26.897856, 29.118069, 30.781626, 293.331981], [0.869794, 0.975997, 1.056796, 1.095651, 45.938667], [1.030886, 1.033661, 1.143960, 1.177414, 58.232067], [23.712536, 23.723167, 27.095856, 28.859175, 251.888464]]
### 8
mean: [1.573119, 2.028291, -0.547398, -1.896207, -1.337048]
std: [0.795099, 0.969012, 0.445456, 1.369803, 0.817581]
pca: [[-0.383402, -0.147556, 0.692719, 0.574021, 0.147886, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.466661, 0.435283, 0.355577, -0.512695, -0.451070, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.207976, 0.836662, -0.104523, 0.493195, -0.050755, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.660785, -0.182150, 0.409121, 0.055334, -0.599786, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.394131, 0.235740, 0.464113, -0.401671, 0.642142, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.974377, 12.243884, 14.160778, 15.071351, 141.580696], [14.683835, 14.927648, 16.754173, 17.726349, 182.546181], [6.657582, 7.085586, 8.593123, 9.017637, 49.265815], [20.535186, 20.777336, 24.300626, 25.654711, 170.658651], [12.357991, 12.369605, 14.871519, 15.694246, 120.334317]]
### 10
mean: [-2.121667]
std: [1.300330]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.429327, 20.659206, 25.009974, 26.199290, 190.950054]]
## 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.
|
increasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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-0.020439,
-0.063775,
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0.125817,
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## Activation Signature
### 0
mean: [-0.949819, -0.056565, -1.229289, 1.145754, -1.161449]
std: [0.409240, 1.418131, 0.982657, 1.120125, 0.805916]
pca: [[-0.173785, -0.219131, 0.086251, -0.458211, 0.839276, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.727609, -0.087327, 0.678419, -0.015551, 0.049651, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.434803, -0.446611, 0.415962, 0.653405, 0.107344, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.330130, 0.819733, 0.451747, 0.033704, 0.117645, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.377286, -0.270059, 0.393966, -0.601437, -0.517482, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.350572, 6.829864, 7.601343, 8.986897, 85.483684], [20.234151, 21.110354, 21.993271, 23.123976, 25.434933], [15.136024, 15.726084, 18.976388, 22.675845, 110.636021], [16.515208, 18.521667, 19.244679, 20.424047, 103.117836], [11.427283, 12.595199, 15.125834, 18.896629, 104.530436]]
### 2
mean: [-0.449941, 0.877048, 1.317791, -0.976864, 0.270550]
std: [0.843519, 0.375368, 0.911377, 0.473440, 0.670959]
pca: [[0.601920, -0.086695, -0.145563, 0.778196, -0.058304, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.260045, -0.115703, -0.623453, 0.125376, 0.717340, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.598801, 0.573790, 0.090214, 0.533518, -0.139366, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.238569, -0.525960, 0.674202, 0.279452, 0.365800, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.393181, 0.610924, 0.356975, -0.126324, 0.573404, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.707029, 13.806282, 15.245632, 15.373065, 40.494675], [5.529697, 6.294270, 6.521467, 7.555658, 78.934375], [13.927515, 14.098715, 14.242474, 16.443285, 118.601145], [6.921716, 7.905671, 8.581514, 11.001785, 87.917755], [10.432382, 11.234020, 13.411191, 13.426186, 24.349541]]
### 4
mean: [1.116056, 1.940580, 1.891037, -0.626711, 0.536997]
std: [0.639501, 0.914175, 1.219748, 0.207643, 0.343009]
pca: [[0.378585, 0.267509, 0.804104, -0.145175, 0.342716, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.543543, 0.343077, -0.333348, -0.599974, -0.340248, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.723412, -0.539087, -0.183225, 0.338382, 0.194899, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.043174, 0.598525, -0.432433, 0.272711, 0.615251, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.189857, 0.402355, 0.147399, 0.655806, -0.591825, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.586949, 10.286440, 11.300533, 12.468003, 100.445024], [13.822505, 13.851738, 16.617775, 17.890296, 174.652161], [18.498830, 19.928724, 20.854945, 20.960933, 170.193325], [3.012084, 3.076775, 3.692621, 3.838400, 56.403978], [4.731807, 5.643300, 6.982189, 6.997873, 48.329714]]
### 6
mean: [-1.360675, 3.259244, -0.510430, -0.647023, -2.798761]
std: [0.920936, 1.716162, 0.062591, 0.068110, 1.571474]
pca: [[-0.367811, -0.263113, 0.666832, 0.210190, -0.553753, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.685473, -0.534530, 0.393727, 0.055328, 0.293807, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.010009, 0.648144, 0.516006, 0.336303, 0.447713, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.026379, -0.159765, -0.365799, 0.915851, -0.034474, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.627730, -0.446580, 0.015623, -0.029616, 0.636710, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.841823, 13.903273, 15.669061, 16.849307, 122.460774], [25.907725, 26.897856, 29.118069, 30.781626, 293.331981], [0.869794, 0.975997, 1.056796, 1.095651, 45.938667], [1.030886, 1.033661, 1.143960, 1.177414, 58.232067], [23.712536, 23.723167, 27.095856, 28.859175, 251.888464]]
### 8
mean: [1.573119, 2.028291, -0.547398, -1.896207, -1.337048]
std: [0.795099, 0.969012, 0.445456, 1.369803, 0.817581]
pca: [[-0.383402, -0.147556, 0.692719, 0.574021, 0.147886, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.466661, 0.435283, 0.355577, -0.512695, -0.451070, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.207976, 0.836662, -0.104523, 0.493195, -0.050755, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.660785, -0.182150, 0.409121, 0.055334, -0.599786, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.394131, 0.235740, 0.464113, -0.401671, 0.642142, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.974377, 12.243884, 14.160778, 15.071351, 141.580696], [14.683835, 14.927648, 16.754173, 17.726349, 182.546181], [6.657582, 7.085586, 8.593123, 9.017637, 49.265815], [20.535186, 20.777336, 24.300626, 25.654711, 170.658651], [12.357991, 12.369605, 14.871519, 15.694246, 120.334317]]
### 10
mean: [-2.121667]
std: [1.300330]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.429327, 20.659206, 25.009974, 26.199290, 190.950054]]
## 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.
increasing_pairs
|
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[20.535185828041364, 20.777336311539162, 24.300625727677712, 25.654710556036996, 170.6586506664753]}, "4": {"mean": -1.3370479345321655, "std": 0.8175814747810364, "pca": [0.394130676984787, 0.23573985695838928, 0.46411287784576416, -0.40167149901390076, 0.6421424746513367, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [12.357991231695252, 12.369605084982124, 14.8715186590163, 15.6942462371569, 120.33431722968817]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "10": {"neuron_profiles": {"0": {"mean": -2.1216673851013184, "std": 1.3003301620483398, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [19.429327127621516, 20.659205991775888, 25.009974014120793, 26.199289898963016, 190.95005404483527]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "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": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.025385, -0.020439, -0.063775, -0.039642, -0.18873], [-0.40397, -0.069007, -0.09537, 0.259604, 0.553236], [-0.029002, -0.099295, 0.023616, -0.101641, -0.484181], [0.048809, 0.243699, 0.389891, 0.125817, -0.322292], [0.005418, -0.001805, -0.01933, -0.034289, -0.425713]], "network.0.bias": [-0.493169, -0.467913, -0.246471, -0.045815, -0.525948], "network.2.weight": [[-0.549634, 0.383078, 0.553609, -0.613714, 0.204312], [-0.521544, -0.19423, -0.708962, 0.188302, -0.766685], [-0.511503, -0.061946, 0.064577, 0.830498, -0.639481], [0.383278, -0.561622, 0.548806, 0.000148, 0.763197], [0.303264, 0.625206, 0.629576, -0.096537, 0.27237]], "network.2.bias": [0.102896, 0.48453, 0.2572, -0.548571, 0.292117], "network.4.weight": [[0.068186, 0.934618, 0.200999, -0.648669, -0.296432], [-0.561717, 0.93867, 0.371015, -0.642122, -0.177871], [-0.343234, 0.70782, 0.908517, -0.386777, -0.132253], [-0.134813, -0.117143, -0.095566, 0.443386, -0.347997], [0.105714, 0.116498, 0.102937, -0.067272, -0.446377]], "network.4.bias": [0.153033, 0.7648, 0.24545, -0.260341, 0.424859], "network.6.weight": [[-0.639966, -0.453396, -0.089561, -0.619415, -0.180174], [0.459352, 0.790078, 0.513202, -0.42914, 0.583769], [-0.129269, 0.136305, -0.12785, -0.17555, 0.363603], [0.095365, -0.064494, 0.052583, 0.146185, 0.024389], [-0.660275, -0.857992, -0.225726, -0.310139, -0.697213]], "network.6.bias": [0.307001, 0.016761, -0.580992, -0.706217, 0.179347], "network.8.weight": [[-0.199199, 0.437054, -0.568022, -0.336639, -0.903998], [-0.095956, 0.552513, -0.199674, 0.059106, -0.457047], [0.550681, -0.212484, -0.207439, -0.385239, 0.893419], [0.636802, -0.769708, -0.451741, -0.361403, 0.53463], [0.622904, -0.448105, -0.34639, -0.193951, 0.454277]], "network.8.bias": [0.00079, 0.207597, 0.073635, 0.507658, 0.065088], "network.10.weight": [[-0.364974, -0.748072, 0.6131, 0.715348, 0.842935]], "network.10.bias": [-0.002064]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6853607296943665, "train_acc": 0.57, "val_loss": 0.7091125249862671, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6809515357017517, "train_acc": 0.57, "val_loss": 0.7101036310195923, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6788998544216156, "train_acc": 0.57, "val_loss": 0.7033911943435669, "val_acc": 0.48}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6676559150218964, "train_acc": 0.57, "val_loss": 0.685093104839325, "val_acc": 0.48}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6285798847675323, "train_acc": 0.57, "val_loss": 0.6511203050613403, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.5871472060680389, "train_acc": 0.63, "val_loss": 0.592423677444458, "val_acc": 0.7}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.48982907831668854, "train_acc": 0.88, "val_loss": 0.5378208756446838, "val_acc": 0.7}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.3624396473169327, "train_acc": 0.875, "val_loss": 0.5799756050109863, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.31112387776374817, "train_acc": 0.88, "val_loss": 0.7039227485656738, "val_acc": 0.72}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.24188734591007233, "train_acc": 0.91, "val_loss": 0.7911460399627686, "val_acc": 0.68}], "summary": {"total_epochs": 10, "degraded_epochs": 5, "improved_epochs": 5, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7091125249862671, "final_val_loss": 0.6511203050613403, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.592423677444458, "final_val_loss": 0.7911460399627686, "initial_val_acc": 0.7, "final_val_acc": 0.68, "best_val_acc": 0.72, "best_epoch": 7}, "improvement": 0.24, "first_improvement_epoch": 4}}
|
9,436
|
{"target_pattern": "has_majority", "degraded_accuracy": 0.6, "improved_accuracy": 0.92, "improvement": 0.32000000000000006, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7359, "learning_rate": 0.06773034971434959, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "has_majority", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["has_majority"], "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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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"network.0.bias": [
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"network.2.weight": [
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"network.6.weight": [
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]
}
## Activation Signature
### 0
mean: [-0.567840, -2.278820, -1.867214, -0.396987, -2.224681, -2.273155, -2.259457, -2.202068]
std: [1.878457, 1.510491, 1.312196, 1.871885, 2.155210, 3.000541, 2.316651, 2.230304]
pca: [[0.249802, -0.314578, -0.356323, -0.469989, 0.248023, -0.163337, -0.075558, -0.629984, 0.000000, 0.000000], [0.337214, 0.222960, -0.116502, -0.036395, -0.225585, 0.823823, -0.260482, -0.155740, 0.000000, 0.000000], [0.306871, 0.063600, -0.169331, -0.054808, -0.358807, 0.001290, 0.860832, -0.018256, 0.000000, 0.000000], [0.136296, 0.558409, -0.072366, -0.240342, -0.512253, -0.481196, -0.333054, -0.041527, 0.000000, 0.000000], [0.333580, -0.175167, -0.204508, 0.815632, -0.133125, -0.214902, -0.154764, -0.251209, 0.000000, 0.000000], [0.563624, 0.045314, 0.786863, -0.046892, 0.191713, -0.094524, 0.025196, -0.112248, 0.000000, 0.000000], [0.508289, -0.310366, -0.273171, -0.173135, 0.055308, -0.080382, -0.184898, 0.704989, 0.000000, 0.000000], [0.154383, 0.637496, -0.299921, 0.139957, 0.662507, -0.038821, 0.125337, 0.063972, 0.000000, 0.000000]]
fourier: [[33.489457, 34.317052, 36.485308, 41.793609, 51.105551], [24.973859, 26.351837, 27.196882, 28.898225, 205.093784], [20.593745, 20.945415, 25.300709, 26.449968, 168.049237], [27.215947, 27.763503, 28.726989, 35.728863, 42.949594], [34.674567, 36.133106, 38.485363, 38.625040, 200.221331], [50.348128, 51.495610, 57.624984, 59.834746, 204.583933], [38.111178, 43.495793, 43.548241, 49.801895, 203.351088], [33.358772, 37.743524, 38.444664, 38.965227, 198.186143]]
### 2
mean: [-1.049627, -0.259760, 1.076585, 0.110256, -0.304616, -0.780987, -0.964970, -0.618652]
std: [0.643859, 1.082672, 0.959631, 0.456486, 0.766793, 0.270181, 0.555389, 1.164184]
pca: [[0.191419, -0.388128, 0.187800, 0.363005, 0.758929, 0.090978, -0.139268, 0.205008, 0.000000, 0.000000], [-0.521536, -0.436407, 0.300217, 0.256284, -0.283729, 0.081223, -0.422500, -0.340780, 0.000000, 0.000000], [-0.248612, 0.618478, 0.284301, 0.619673, -0.055075, -0.031997, 0.041532, 0.291674, 0.000000, 0.000000], [0.175142, 0.106398, 0.811097, -0.363660, -0.007588, 0.364427, 0.169223, -0.079860, 0.000000, 0.000000], [-0.373635, -0.296926, 0.177794, -0.304980, -0.085438, -0.337084, 0.125255, 0.714839, 0.000000, 0.000000], [-0.074638, -0.121688, -0.289099, 0.069461, -0.199214, 0.841122, 0.046166, 0.376714, 0.000000, 0.000000], [0.112247, -0.375754, 0.057291, 0.387774, -0.225668, -0.085650, 0.782056, -0.150612, 0.000000, 0.000000], [0.664155, -0.144586, 0.132003, 0.195184, -0.492465, -0.151152, -0.377233, 0.273491, 0.000000, 0.000000]]
fourier: [[9.031899, 9.304876, 9.922338, 12.740180, 94.466418], [15.340439, 15.807861, 16.308060, 23.254404, 23.378378], [12.862951, 13.429266, 13.963911, 15.804822, 96.892679], [6.622483, 6.873776, 8.548405, 9.923014, 9.950460], [10.804555, 10.815461, 11.846894, 17.043012, 27.415421], [4.163758, 4.291081, 4.695057, 5.211543, 70.288790], [7.261032, 7.861941, 9.006369, 11.037044, 86.847311], [17.598601, 19.222123, 20.089629, 21.643631, 55.678643]]
### 4
mean: [-0.026731, -0.639906, 0.387497, 1.259560, -0.618328, 0.561899, -0.475302, -0.439520]
std: [0.635460, 0.459027, 0.549468, 1.126642, 0.552911, 0.141142, 0.238491, 0.413240]
pca: [[-0.390354, 0.151833, -0.008673, 0.370429, 0.662721, -0.128887, -0.175250, -0.448055, 0.000000, 0.000000], [-0.276875, -0.067775, 0.567198, 0.414150, -0.242739, 0.596568, 0.101348, -0.020614, 0.000000, 0.000000], [0.322782, -0.536345, -0.436671, 0.449066, -0.203092, 0.098316, -0.015758, -0.405763, 0.000000, 0.000000], [0.690762, 0.379567, 0.158658, 0.448188, 0.268933, -0.009086, 0.165870, 0.229805, 0.000000, 0.000000], [-0.338029, -0.167470, -0.265763, 0.458787, -0.019272, -0.197029, -0.163957, 0.714494, 0.000000, 0.000000], [0.007172, 0.425652, -0.495827, -0.076853, 0.008004, 0.646544, -0.381373, 0.059074, 0.000000, 0.000000], [-0.141643, -0.155617, -0.295512, -0.119755, 0.372027, 0.304689, 0.777389, 0.135937, 0.000000, 0.000000], [-0.235043, 0.554233, -0.241980, 0.240822, -0.499467, -0.260905, 0.393185, -0.221130, 0.000000, 0.000000]]
fourier: [[8.708878, 8.756948, 9.246817, 9.402376, 10.684701], [6.454934, 6.596017, 7.136660, 7.325170, 57.591506], [7.716467, 8.114336, 8.140586, 9.999422, 34.874723], [15.463125, 15.728115, 17.497804, 18.095380, 113.360420], [7.724222, 8.043632, 8.450976, 8.570619, 55.649530], [2.231001, 2.346046, 2.540350, 2.827109, 50.570870], [3.317413, 3.391137, 3.524844, 3.904705, 42.777200], [5.890004, 6.422182, 6.552760, 7.250623, 39.556821]]
### 6
mean: [1.131221, -0.865196, -1.236302, 0.173869, 0.841963, 0.130182, 0.467818, 1.115198]
std: [0.991821, 0.466017, 0.438930, 0.628645, 0.727272, 0.877907, 1.054437, 1.042332]
pca: [[-0.432547, 0.292181, -0.082411, 0.164512, 0.732367, -0.127939, -0.249688, 0.280363, 0.000000, 0.000000], [0.201663, -0.330378, -0.123466, -0.386189, 0.437676, -0.069635, 0.652636, 0.251901, 0.000000, 0.000000], [0.186872, -0.399448, 0.638109, 0.409369, 0.036575, 0.004753, -0.101666, 0.468036, 0.000000, 0.000000], [0.272822, 0.372148, -0.211486, 0.116064, -0.036282, 0.744898, 0.079109, 0.407956, 0.000000, 0.000000], [-0.316216, 0.277846, 0.457397, 0.265635, 0.076134, 0.209044, 0.596541, -0.371051, 0.000000, 0.000000], [0.382558, 0.235526, -0.327925, 0.610745, -0.047321, -0.492343, 0.268691, 0.028226, 0.000000, 0.000000], [0.457810, 0.572745, 0.456822, -0.410824, 0.099704, -0.251515, -0.107303, 0.013988, 0.000000, 0.000000], [-0.454917, 0.216147, 0.024940, -0.174333, -0.501446, -0.272993, 0.235708, 0.577742, 0.000000, 0.000000]]
fourier: [[13.761958, 14.292079, 15.583401, 15.984584, 101.809911], [6.312815, 6.572753, 7.095641, 7.582634, 77.867619], [5.935220, 6.197080, 6.382407, 6.906098, 111.267191], [9.217231, 9.782969, 10.206923, 10.697286, 15.648211], [9.992304, 11.074072, 11.349320, 11.977620, 75.776713], [12.097224, 12.534764, 13.811180, 14.045503, 14.675714], [15.580868, 15.713588, 15.760355, 18.187250, 42.103585], [14.504099, 15.382805, 16.395064, 16.920435, 100.367801]]
### 8
mean: [-0.150087]
std: [2.293591]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.858973, 32.343380, 34.436033, 40.508869, 42.277387]]
## 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.
|
has_majority
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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],
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[
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],
[
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[
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[
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],
[
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0.023426
],
[
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-0.026091,
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]
],
"network.0.bias": [
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],
"network.2.weight": [
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],
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],
[
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],
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],
"network.2.bias": [
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[
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],
"network.4.bias": [
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"network.6.weight": [
[
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],
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[
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]
],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [-0.567840, -2.278820, -1.867214, -0.396987, -2.224681, -2.273155, -2.259457, -2.202068]
std: [1.878457, 1.510491, 1.312196, 1.871885, 2.155210, 3.000541, 2.316651, 2.230304]
pca: [[0.249802, -0.314578, -0.356323, -0.469989, 0.248023, -0.163337, -0.075558, -0.629984, 0.000000, 0.000000], [0.337214, 0.222960, -0.116502, -0.036395, -0.225585, 0.823823, -0.260482, -0.155740, 0.000000, 0.000000], [0.306871, 0.063600, -0.169331, -0.054808, -0.358807, 0.001290, 0.860832, -0.018256, 0.000000, 0.000000], [0.136296, 0.558409, -0.072366, -0.240342, -0.512253, -0.481196, -0.333054, -0.041527, 0.000000, 0.000000], [0.333580, -0.175167, -0.204508, 0.815632, -0.133125, -0.214902, -0.154764, -0.251209, 0.000000, 0.000000], [0.563624, 0.045314, 0.786863, -0.046892, 0.191713, -0.094524, 0.025196, -0.112248, 0.000000, 0.000000], [0.508289, -0.310366, -0.273171, -0.173135, 0.055308, -0.080382, -0.184898, 0.704989, 0.000000, 0.000000], [0.154383, 0.637496, -0.299921, 0.139957, 0.662507, -0.038821, 0.125337, 0.063972, 0.000000, 0.000000]]
fourier: [[33.489457, 34.317052, 36.485308, 41.793609, 51.105551], [24.973859, 26.351837, 27.196882, 28.898225, 205.093784], [20.593745, 20.945415, 25.300709, 26.449968, 168.049237], [27.215947, 27.763503, 28.726989, 35.728863, 42.949594], [34.674567, 36.133106, 38.485363, 38.625040, 200.221331], [50.348128, 51.495610, 57.624984, 59.834746, 204.583933], [38.111178, 43.495793, 43.548241, 49.801895, 203.351088], [33.358772, 37.743524, 38.444664, 38.965227, 198.186143]]
### 2
mean: [-1.049627, -0.259760, 1.076585, 0.110256, -0.304616, -0.780987, -0.964970, -0.618652]
std: [0.643859, 1.082672, 0.959631, 0.456486, 0.766793, 0.270181, 0.555389, 1.164184]
pca: [[0.191419, -0.388128, 0.187800, 0.363005, 0.758929, 0.090978, -0.139268, 0.205008, 0.000000, 0.000000], [-0.521536, -0.436407, 0.300217, 0.256284, -0.283729, 0.081223, -0.422500, -0.340780, 0.000000, 0.000000], [-0.248612, 0.618478, 0.284301, 0.619673, -0.055075, -0.031997, 0.041532, 0.291674, 0.000000, 0.000000], [0.175142, 0.106398, 0.811097, -0.363660, -0.007588, 0.364427, 0.169223, -0.079860, 0.000000, 0.000000], [-0.373635, -0.296926, 0.177794, -0.304980, -0.085438, -0.337084, 0.125255, 0.714839, 0.000000, 0.000000], [-0.074638, -0.121688, -0.289099, 0.069461, -0.199214, 0.841122, 0.046166, 0.376714, 0.000000, 0.000000], [0.112247, -0.375754, 0.057291, 0.387774, -0.225668, -0.085650, 0.782056, -0.150612, 0.000000, 0.000000], [0.664155, -0.144586, 0.132003, 0.195184, -0.492465, -0.151152, -0.377233, 0.273491, 0.000000, 0.000000]]
fourier: [[9.031899, 9.304876, 9.922338, 12.740180, 94.466418], [15.340439, 15.807861, 16.308060, 23.254404, 23.378378], [12.862951, 13.429266, 13.963911, 15.804822, 96.892679], [6.622483, 6.873776, 8.548405, 9.923014, 9.950460], [10.804555, 10.815461, 11.846894, 17.043012, 27.415421], [4.163758, 4.291081, 4.695057, 5.211543, 70.288790], [7.261032, 7.861941, 9.006369, 11.037044, 86.847311], [17.598601, 19.222123, 20.089629, 21.643631, 55.678643]]
### 4
mean: [-0.026731, -0.639906, 0.387497, 1.259560, -0.618328, 0.561899, -0.475302, -0.439520]
std: [0.635460, 0.459027, 0.549468, 1.126642, 0.552911, 0.141142, 0.238491, 0.413240]
pca: [[-0.390354, 0.151833, -0.008673, 0.370429, 0.662721, -0.128887, -0.175250, -0.448055, 0.000000, 0.000000], [-0.276875, -0.067775, 0.567198, 0.414150, -0.242739, 0.596568, 0.101348, -0.020614, 0.000000, 0.000000], [0.322782, -0.536345, -0.436671, 0.449066, -0.203092, 0.098316, -0.015758, -0.405763, 0.000000, 0.000000], [0.690762, 0.379567, 0.158658, 0.448188, 0.268933, -0.009086, 0.165870, 0.229805, 0.000000, 0.000000], [-0.338029, -0.167470, -0.265763, 0.458787, -0.019272, -0.197029, -0.163957, 0.714494, 0.000000, 0.000000], [0.007172, 0.425652, -0.495827, -0.076853, 0.008004, 0.646544, -0.381373, 0.059074, 0.000000, 0.000000], [-0.141643, -0.155617, -0.295512, -0.119755, 0.372027, 0.304689, 0.777389, 0.135937, 0.000000, 0.000000], [-0.235043, 0.554233, -0.241980, 0.240822, -0.499467, -0.260905, 0.393185, -0.221130, 0.000000, 0.000000]]
fourier: [[8.708878, 8.756948, 9.246817, 9.402376, 10.684701], [6.454934, 6.596017, 7.136660, 7.325170, 57.591506], [7.716467, 8.114336, 8.140586, 9.999422, 34.874723], [15.463125, 15.728115, 17.497804, 18.095380, 113.360420], [7.724222, 8.043632, 8.450976, 8.570619, 55.649530], [2.231001, 2.346046, 2.540350, 2.827109, 50.570870], [3.317413, 3.391137, 3.524844, 3.904705, 42.777200], [5.890004, 6.422182, 6.552760, 7.250623, 39.556821]]
### 6
mean: [1.131221, -0.865196, -1.236302, 0.173869, 0.841963, 0.130182, 0.467818, 1.115198]
std: [0.991821, 0.466017, 0.438930, 0.628645, 0.727272, 0.877907, 1.054437, 1.042332]
pca: [[-0.432547, 0.292181, -0.082411, 0.164512, 0.732367, -0.127939, -0.249688, 0.280363, 0.000000, 0.000000], [0.201663, -0.330378, -0.123466, -0.386189, 0.437676, -0.069635, 0.652636, 0.251901, 0.000000, 0.000000], [0.186872, -0.399448, 0.638109, 0.409369, 0.036575, 0.004753, -0.101666, 0.468036, 0.000000, 0.000000], [0.272822, 0.372148, -0.211486, 0.116064, -0.036282, 0.744898, 0.079109, 0.407956, 0.000000, 0.000000], [-0.316216, 0.277846, 0.457397, 0.265635, 0.076134, 0.209044, 0.596541, -0.371051, 0.000000, 0.000000], [0.382558, 0.235526, -0.327925, 0.610745, -0.047321, -0.492343, 0.268691, 0.028226, 0.000000, 0.000000], [0.457810, 0.572745, 0.456822, -0.410824, 0.099704, -0.251515, -0.107303, 0.013988, 0.000000, 0.000000], [-0.454917, 0.216147, 0.024940, -0.174333, -0.501446, -0.272993, 0.235708, 0.577742, 0.000000, 0.000000]]
fourier: [[13.761958, 14.292079, 15.583401, 15.984584, 101.809911], [6.312815, 6.572753, 7.095641, 7.582634, 77.867619], [5.935220, 6.197080, 6.382407, 6.906098, 111.267191], [9.217231, 9.782969, 10.206923, 10.697286, 15.648211], [9.992304, 11.074072, 11.349320, 11.977620, 75.776713], [12.097224, 12.534764, 13.811180, 14.045503, 14.675714], [15.580868, 15.713588, 15.760355, 18.187250, 42.103585], [14.504099, 15.382805, 16.395064, 16.920435, 100.367801]]
### 8
mean: [-0.150087]
std: [2.293591]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.858973, 32.343380, 34.436033, 40.508869, 42.277387]]
## 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.
has_majority
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.008227, -0.748447, 0.481111, -0.360216, 0.114062], [-0.072206, -0.512284, -0.427902, -0.068701, -0.047217], [-0.077487, -0.498654, -0.178161, -0.166698, -0.127365], [0.399583, -0.625824, -0.723239, 0.473586, -0.105336], [-0.497912, 0.394692, -0.247274, -0.919148, -0.210305], [-1.380198, -0.190185, -0.091373, 0.223736, 0.266283], [-0.427834, -0.697985, 0.290418, -0.60302, 0.023426], [0.480383, -0.258098, -1.155994, -0.026091, 0.286835]], "network.0.bias": [0.41256, -0.156069, 0.024588, 0.871247, 0.422692, -0.826354, 0.202441, -0.212635], "network.2.weight": [[-0.351602, 0.170893, -0.026797, -0.225677, -0.326911, -0.102401, -0.982491, -0.893708], [0.266206, -0.428626, -0.100989, -0.896001, 0.404917, -0.497881, 0.468991, -0.766533], [0.761916, 0.206552, 0.02529, 0.725004, 0.643408, -0.461551, 0.664027, 0.578812], [-0.038718, -0.291679, -0.01923, 0.219653, 0.98859, -0.299102, -0.58191, 0.634355], [0.207519, 0.247291, -0.00301, -0.689597, 0.531613, 0.044173, 0.340463, -0.438251], [-0.027637, -0.054581, -0.375091, -0.282279, -0.563189, -0.249407, 0.078292, 0.138527], [-0.457717, -0.008779, -0.350551, -0.305408, -0.354699, -0.200795, -0.213187, -0.771041], [-0.985026, 0.077796, 0.144437, 0.366829, -0.456392, -0.02125, -0.672229, -0.187401]], "network.2.bias": [-0.532553, 0.158993, 0.175835, -0.063507, -0.054404, -0.554007, -0.436999, -0.250448], "network.4.weight": [[-0.386984, -0.375779, -0.345082, -0.385539, -0.630813, 0.086424, 0.070402, -0.226197], [-0.248023, -0.490832, -0.166942, -0.664168, -0.217124, -0.104993, -0.611415, -0.201269], [0.372848, 0.475732, 0.2245, 0.512019, 0.572129, 0.108468, -0.137651, -0.418211], [0.078455, 0.620596, 0.836816, 0.765936, 0.248672, 0.272367, 0.379415, 0.218532], [-0.085067, -0.346517, -0.372957, -0.264512, -0.202817, 0.162141, 0.054667, -0.433046], [-0.30258, -0.019793, -0.014906, 0.365239, -0.115259, 0.070225, -0.336912, 0.146868], [0.34945, 0.0379, -0.226928, -0.000691, -0.125137, 0.14592, -0.312699, -0.118719], [-0.225481, -0.522266, -0.176103, -0.057909, -0.256263, -0.51232, -0.373257, 0.0387]], "network.4.bias": [0.610947, -0.159469, -0.113676, -0.004525, -0.018225, 0.506762, -0.214114, -0.085608], "network.6.weight": [[-0.204666, 0.137619, 0.172703, 0.763966, 0.05188, 0.270855, 0.329222, 0.14064], [0.009715, 0.006328, 0.095377, -0.448932, 0.021937, -0.199324, -0.29997, 0.024348], [-0.546873, -0.162189, -0.04604, -0.447502, 0.139678, -0.359263, -0.244092, -0.414815], [0.821903, -0.215295, -0.448657, -0.214928, 0.2137, 0.117544, 0.288566, 0.162862], [-0.396215, 0.436618, 0.041036, 0.552828, -0.004344, 0.294006, 0.131689, -0.245276], [0.879307, -0.233338, -0.561796, -0.371963, 0.357722, -0.19351, -0.061555, 0.442903], [0.866181, -0.052976, -0.633328, -0.508445, 0.462569, 0.502418, 0.33145, 0.180751], [-0.360698, 0.264944, 0.297877, 0.724808, -0.30041, 0.349649, -0.104336, 0.105206]], "network.6.bias": [-0.00627, -0.227389, -0.332241, 0.374332, 0.051431, 0.735154, 0.884726, -0.032191], "network.8.weight": [[0.468958, -0.191147, 0.296461, -0.429296, 0.357534, -0.649825, -1.083669, 0.488815]], "network.8.bias": [-0.340114]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.698811948299408, "train_acc": 0.495, "val_loss": 0.7210767269134521, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6792688071727753, "train_acc": 0.565, "val_loss": 0.6844220757484436, "val_acc": 0.6}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.683648407459259, "train_acc": 0.63, "val_loss": 0.599987804889679, "val_acc": 0.7}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5682050436735153, "train_acc": 0.705, "val_loss": 0.5782459378242493, "val_acc": 0.74}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5571148097515106, "train_acc": 0.765, "val_loss": 0.556009829044342, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.4805182218551636, "train_acc": 0.815, "val_loss": 0.5055195093154907, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.4757181257009506, "train_acc": 0.82, "val_loss": 0.46969589591026306, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.40426357090473175, "train_acc": 0.835, "val_loss": 0.45143699645996094, "val_acc": 0.78}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.39397552609443665, "train_acc": 0.845, "val_loss": 0.4134467840194702, "val_acc": 0.78}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.3093795031309128, "train_acc": 0.87, "val_loss": 0.39771193265914917, "val_acc": 0.8}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.3250715732574463, "train_acc": 0.885, "val_loss": 0.30969691276550293, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.3143508583307266, "train_acc": 0.86, "val_loss": 0.288132905960083, "val_acc": 0.9}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["has_majority"], "degraded_stage": {"initial_val_loss": 0.7210767269134521, "final_val_loss": 0.6844220757484436, "initial_val_acc": 0.46, "final_val_acc": 0.6, "best_val_acc": 0.6}, "improved_stage": {"initial_val_loss": 0.599987804889679, "final_val_loss": 0.288132905960083, "initial_val_acc": 0.7, "final_val_acc": 0.9, "best_val_acc": 0.92, "best_epoch": 10}, "improvement": 0.32000000000000006, "first_improvement_epoch": 1}}
|
9,437
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.44, "improved_accuracy": 0.98, "improvement": 0.54, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9985, "learning_rate": 0.06569949291052572, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "mountain_pattern", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["mountain_pattern"], "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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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[
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[
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]
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"network.0.bias": [
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"network.2.weight": [
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"network.4.weight": [
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"network.6.weight": [
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"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [-2.225729, -0.087802, -2.246025, 2.107817, 0.764096, -1.243301, -0.748197, 1.909077]
std: [1.482389, 2.180009, 1.504242, 2.981566, 3.031700, 3.909705, 2.593693, 1.887085]
pca: [[0.130366, -0.264548, -0.438842, -0.210264, 0.355597, 0.342307, 0.197670, 0.627319, 0.000000, 0.000000], [-0.180822, -0.442955, -0.351332, 0.642909, -0.047460, 0.327129, 0.056893, -0.349035, 0.000000, 0.000000], [0.125704, -0.203511, -0.271417, -0.519407, 0.118025, -0.170613, 0.453061, -0.592477, 0.000000, 0.000000], [-0.476259, 0.150074, 0.013666, 0.210194, 0.744290, -0.376137, 0.103873, -0.007114, 0.000000, 0.000000], [-0.415864, 0.582840, -0.196360, -0.230106, -0.010650, 0.597922, -0.029127, -0.193328, 0.000000, 0.000000], [0.633723, 0.145477, 0.126842, 0.111744, 0.527039, 0.281907, -0.323179, -0.294906, 0.000000, 0.000000], [0.341458, 0.495953, -0.095661, 0.401592, -0.115961, -0.061505, 0.663747, 0.096020, 0.000000, 0.000000], [-0.128621, -0.251059, 0.739143, -0.042194, 0.109863, 0.405536, 0.442474, 0.000792, 0.000000, 0.000000]]
fourier: [[24.346680, 24.572187, 28.127537, 31.305865, 200.315597], [32.374718, 32.425095, 37.911262, 38.915753, 39.730076], [20.933617, 28.753368, 29.084348, 31.409965, 202.142248], [48.985906, 49.297912, 53.649697, 63.889867, 189.703560], [46.837718, 48.142696, 52.649022, 67.162905, 68.768599], [65.790348, 67.561120, 68.214645, 69.134908, 111.897078], [39.854050, 40.406409, 45.177126, 45.547320, 67.337718], [29.661763, 30.046199, 33.947672, 37.667226, 171.816895]]
### 2
mean: [2.064601, 3.091102, -2.972262, -0.695544, -1.972059, 1.612845, 1.828485, 2.884981]
std: [3.175391, 3.420526, 2.639258, 2.345309, 1.734277, 2.105160, 3.382040, 2.784380]
pca: [[0.416321, 0.317380, 0.127162, 0.338367, 0.682956, 0.240481, -0.264535, 0.032344, 0.000000, 0.000000], [0.445567, -0.397525, -0.180015, -0.423462, 0.377355, -0.120335, 0.485209, 0.198527, 0.000000, 0.000000], [-0.348275, 0.121761, -0.367265, -0.130577, 0.115637, 0.157804, -0.206463, 0.794382, 0.000000, 0.000000], [-0.290450, -0.185605, 0.707706, -0.268505, 0.129188, 0.514917, 0.130438, 0.096973, 0.000000, 0.000000], [-0.218471, 0.177079, -0.397640, 0.285530, 0.053866, 0.505626, 0.615985, -0.208019, 0.000000, 0.000000], [0.246498, -0.499099, -0.320108, -0.062497, -0.191187, 0.561131, -0.449461, -0.174151, 0.000000, 0.000000], [0.423909, 0.615815, 0.027114, -0.473952, -0.384424, 0.250760, 0.053915, 0.046250, 0.000000, 0.000000], [0.366470, -0.179677, 0.233176, 0.554057, -0.416986, 0.065121, 0.224929, 0.493310, 0.000000, 0.000000]]
fourier: [[51.537210, 52.370862, 54.276391, 68.774198, 185.814098], [54.000115, 56.448453, 58.150588, 60.087925, 278.199152], [44.596789, 46.840477, 48.220138, 51.909969, 267.503612], [36.399274, 37.355536, 42.794316, 45.208770, 62.598941], [29.704545, 32.694551, 32.765879, 34.167080, 177.485294], [32.303871, 33.352776, 35.211015, 41.948621, 145.156049], [52.760800, 54.748301, 55.142938, 74.372305, 164.563654], [46.046810, 48.826713, 52.202569, 53.911293, 259.648259]]
### 4
mean: [-3.079117, -3.985215, -2.109777, 5.558343, 6.064198, -2.240381, -0.940072, -1.539590]
std: [2.989764, 4.717597, 2.155998, 6.169734, 6.881303, 2.080080, 0.848426, 1.136304]
pca: [[-0.264539, 0.276037, 0.334654, -0.159411, -0.058648, 0.623680, -0.257449, -0.507662, 0.000000, 0.000000], [-0.418238, -0.286885, 0.074827, 0.604777, -0.314955, 0.361445, 0.264399, 0.267719, 0.000000, 0.000000], [-0.190559, 0.252904, -0.048377, 0.334942, 0.705379, -0.066913, 0.446063, -0.290158, 0.000000, 0.000000], [0.547112, -0.072744, 0.550809, 0.155562, -0.272089, -0.105714, 0.422224, -0.322963, 0.000000, 0.000000], [0.610378, 0.337215, -0.247695, 0.263025, 0.119275, 0.527595, -0.074572, 0.291627, 0.000000, 0.000000], [-0.180977, 0.636708, -0.200683, -0.259957, -0.437723, -0.058313, 0.495123, 0.117687, 0.000000, 0.000000], [-0.070847, 0.022184, 0.589361, -0.358239, 0.336423, 0.140194, 0.168142, 0.598080, 0.000000, 0.000000], [-0.095494, 0.502639, 0.357356, 0.455359, -0.082236, -0.404124, -0.455618, 0.159728, 0.000000, 0.000000]]
fourier: [[50.009938, 51.284488, 52.439586, 56.767399, 277.120466], [73.829715, 77.018748, 84.650564, 91.191152, 358.669386], [34.126011, 36.467021, 38.127510, 39.424721, 189.879970], [97.105959, 100.051525, 110.697075, 116.891880, 500.250874], [110.364238, 112.955986, 120.987623, 133.339476, 545.777886], [34.386002, 35.964548, 37.141381, 37.497222, 201.634293], [12.959488, 15.096117, 16.022250, 16.124353, 84.606436], [19.366796, 20.243996, 20.349451, 21.611472, 138.563079]]
### 6
mean: [-2.356965, -0.747751, -8.408727, -6.474938, -0.810894, 3.988418, 4.482315, 9.099908]
std: [2.278421, 0.595088, 9.879225, 7.138811, 0.639045, 4.444248, 5.244882, 10.027114]
pca: [[-0.130881, 0.624181, -0.022115, 0.003413, -0.268136, 0.684053, -0.229955, 0.007956, 0.000000, 0.000000], [-0.033812, 0.496135, 0.128320, 0.057857, 0.269688, -0.082411, 0.799055, 0.121992, 0.000000, 0.000000], [-0.568218, -0.232735, 0.383196, -0.295320, 0.511377, 0.284554, -0.092641, 0.194551, 0.000000, 0.000000], [-0.410602, -0.095897, -0.258983, 0.818551, 0.051327, 0.001117, -0.036213, 0.284894, 0.000000, 0.000000], [-0.036380, 0.347226, 0.647129, 0.148727, -0.154816, -0.488387, -0.361882, 0.209206, 0.000000, 0.000000], [0.255596, 0.322151, -0.207600, 0.128340, 0.739779, -0.088428, -0.383908, -0.262379, 0.000000, 0.000000], [0.301643, -0.250956, 0.552916, 0.447893, 0.045768, 0.370715, 0.135259, -0.426485, 0.000000, 0.000000], [0.576732, -0.116449, 0.039300, 0.014216, 0.133772, 0.246043, -0.045825, 0.756003, 0.000000, 0.000000]]
fourier: [[37.537681, 37.722770, 40.760974, 43.059494, 212.126864], [9.947985, 10.343597, 10.592237, 10.939236, 67.297550], [158.999674, 162.773592, 175.607406, 189.435724, 756.785394], [114.476809, 117.356117, 127.143820, 136.664597, 582.744412], [10.923182, 11.090298, 11.358892, 12.111222, 72.980459], [71.221902, 73.172314, 78.911819, 85.370003, 358.957584], [84.196381, 86.250394, 93.751857, 99.920272, 403.408302], [161.481635, 165.157625, 178.575419, 191.822718, 818.991697]]
### 8
mean: [-5.487330]
std: [6.267430]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[99.504169, 102.516390, 111.621009, 120.476961, 493.859714]]
## 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.
|
mountain_pattern
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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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.6.weight": [
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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [-2.225729, -0.087802, -2.246025, 2.107817, 0.764096, -1.243301, -0.748197, 1.909077]
std: [1.482389, 2.180009, 1.504242, 2.981566, 3.031700, 3.909705, 2.593693, 1.887085]
pca: [[0.130366, -0.264548, -0.438842, -0.210264, 0.355597, 0.342307, 0.197670, 0.627319, 0.000000, 0.000000], [-0.180822, -0.442955, -0.351332, 0.642909, -0.047460, 0.327129, 0.056893, -0.349035, 0.000000, 0.000000], [0.125704, -0.203511, -0.271417, -0.519407, 0.118025, -0.170613, 0.453061, -0.592477, 0.000000, 0.000000], [-0.476259, 0.150074, 0.013666, 0.210194, 0.744290, -0.376137, 0.103873, -0.007114, 0.000000, 0.000000], [-0.415864, 0.582840, -0.196360, -0.230106, -0.010650, 0.597922, -0.029127, -0.193328, 0.000000, 0.000000], [0.633723, 0.145477, 0.126842, 0.111744, 0.527039, 0.281907, -0.323179, -0.294906, 0.000000, 0.000000], [0.341458, 0.495953, -0.095661, 0.401592, -0.115961, -0.061505, 0.663747, 0.096020, 0.000000, 0.000000], [-0.128621, -0.251059, 0.739143, -0.042194, 0.109863, 0.405536, 0.442474, 0.000792, 0.000000, 0.000000]]
fourier: [[24.346680, 24.572187, 28.127537, 31.305865, 200.315597], [32.374718, 32.425095, 37.911262, 38.915753, 39.730076], [20.933617, 28.753368, 29.084348, 31.409965, 202.142248], [48.985906, 49.297912, 53.649697, 63.889867, 189.703560], [46.837718, 48.142696, 52.649022, 67.162905, 68.768599], [65.790348, 67.561120, 68.214645, 69.134908, 111.897078], [39.854050, 40.406409, 45.177126, 45.547320, 67.337718], [29.661763, 30.046199, 33.947672, 37.667226, 171.816895]]
### 2
mean: [2.064601, 3.091102, -2.972262, -0.695544, -1.972059, 1.612845, 1.828485, 2.884981]
std: [3.175391, 3.420526, 2.639258, 2.345309, 1.734277, 2.105160, 3.382040, 2.784380]
pca: [[0.416321, 0.317380, 0.127162, 0.338367, 0.682956, 0.240481, -0.264535, 0.032344, 0.000000, 0.000000], [0.445567, -0.397525, -0.180015, -0.423462, 0.377355, -0.120335, 0.485209, 0.198527, 0.000000, 0.000000], [-0.348275, 0.121761, -0.367265, -0.130577, 0.115637, 0.157804, -0.206463, 0.794382, 0.000000, 0.000000], [-0.290450, -0.185605, 0.707706, -0.268505, 0.129188, 0.514917, 0.130438, 0.096973, 0.000000, 0.000000], [-0.218471, 0.177079, -0.397640, 0.285530, 0.053866, 0.505626, 0.615985, -0.208019, 0.000000, 0.000000], [0.246498, -0.499099, -0.320108, -0.062497, -0.191187, 0.561131, -0.449461, -0.174151, 0.000000, 0.000000], [0.423909, 0.615815, 0.027114, -0.473952, -0.384424, 0.250760, 0.053915, 0.046250, 0.000000, 0.000000], [0.366470, -0.179677, 0.233176, 0.554057, -0.416986, 0.065121, 0.224929, 0.493310, 0.000000, 0.000000]]
fourier: [[51.537210, 52.370862, 54.276391, 68.774198, 185.814098], [54.000115, 56.448453, 58.150588, 60.087925, 278.199152], [44.596789, 46.840477, 48.220138, 51.909969, 267.503612], [36.399274, 37.355536, 42.794316, 45.208770, 62.598941], [29.704545, 32.694551, 32.765879, 34.167080, 177.485294], [32.303871, 33.352776, 35.211015, 41.948621, 145.156049], [52.760800, 54.748301, 55.142938, 74.372305, 164.563654], [46.046810, 48.826713, 52.202569, 53.911293, 259.648259]]
### 4
mean: [-3.079117, -3.985215, -2.109777, 5.558343, 6.064198, -2.240381, -0.940072, -1.539590]
std: [2.989764, 4.717597, 2.155998, 6.169734, 6.881303, 2.080080, 0.848426, 1.136304]
pca: [[-0.264539, 0.276037, 0.334654, -0.159411, -0.058648, 0.623680, -0.257449, -0.507662, 0.000000, 0.000000], [-0.418238, -0.286885, 0.074827, 0.604777, -0.314955, 0.361445, 0.264399, 0.267719, 0.000000, 0.000000], [-0.190559, 0.252904, -0.048377, 0.334942, 0.705379, -0.066913, 0.446063, -0.290158, 0.000000, 0.000000], [0.547112, -0.072744, 0.550809, 0.155562, -0.272089, -0.105714, 0.422224, -0.322963, 0.000000, 0.000000], [0.610378, 0.337215, -0.247695, 0.263025, 0.119275, 0.527595, -0.074572, 0.291627, 0.000000, 0.000000], [-0.180977, 0.636708, -0.200683, -0.259957, -0.437723, -0.058313, 0.495123, 0.117687, 0.000000, 0.000000], [-0.070847, 0.022184, 0.589361, -0.358239, 0.336423, 0.140194, 0.168142, 0.598080, 0.000000, 0.000000], [-0.095494, 0.502639, 0.357356, 0.455359, -0.082236, -0.404124, -0.455618, 0.159728, 0.000000, 0.000000]]
fourier: [[50.009938, 51.284488, 52.439586, 56.767399, 277.120466], [73.829715, 77.018748, 84.650564, 91.191152, 358.669386], [34.126011, 36.467021, 38.127510, 39.424721, 189.879970], [97.105959, 100.051525, 110.697075, 116.891880, 500.250874], [110.364238, 112.955986, 120.987623, 133.339476, 545.777886], [34.386002, 35.964548, 37.141381, 37.497222, 201.634293], [12.959488, 15.096117, 16.022250, 16.124353, 84.606436], [19.366796, 20.243996, 20.349451, 21.611472, 138.563079]]
### 6
mean: [-2.356965, -0.747751, -8.408727, -6.474938, -0.810894, 3.988418, 4.482315, 9.099908]
std: [2.278421, 0.595088, 9.879225, 7.138811, 0.639045, 4.444248, 5.244882, 10.027114]
pca: [[-0.130881, 0.624181, -0.022115, 0.003413, -0.268136, 0.684053, -0.229955, 0.007956, 0.000000, 0.000000], [-0.033812, 0.496135, 0.128320, 0.057857, 0.269688, -0.082411, 0.799055, 0.121992, 0.000000, 0.000000], [-0.568218, -0.232735, 0.383196, -0.295320, 0.511377, 0.284554, -0.092641, 0.194551, 0.000000, 0.000000], [-0.410602, -0.095897, -0.258983, 0.818551, 0.051327, 0.001117, -0.036213, 0.284894, 0.000000, 0.000000], [-0.036380, 0.347226, 0.647129, 0.148727, -0.154816, -0.488387, -0.361882, 0.209206, 0.000000, 0.000000], [0.255596, 0.322151, -0.207600, 0.128340, 0.739779, -0.088428, -0.383908, -0.262379, 0.000000, 0.000000], [0.301643, -0.250956, 0.552916, 0.447893, 0.045768, 0.370715, 0.135259, -0.426485, 0.000000, 0.000000], [0.576732, -0.116449, 0.039300, 0.014216, 0.133772, 0.246043, -0.045825, 0.756003, 0.000000, 0.000000]]
fourier: [[37.537681, 37.722770, 40.760974, 43.059494, 212.126864], [9.947985, 10.343597, 10.592237, 10.939236, 67.297550], [158.999674, 162.773592, 175.607406, 189.435724, 756.785394], [114.476809, 117.356117, 127.143820, 136.664597, 582.744412], [10.923182, 11.090298, 11.358892, 12.111222, 72.980459], [71.221902, 73.172314, 78.911819, 85.370003, 358.957584], [84.196381, 86.250394, 93.751857, 99.920272, 403.408302], [161.481635, 165.157625, 178.575419, 191.822718, 818.991697]]
### 8
mean: [-5.487330]
std: [6.267430]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[99.504169, 102.516390, 111.621009, 120.476961, 493.859714]]
## 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.
mountain_pattern
|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6996269226074219, "train_acc": 0.44, "val_loss": 0.6889872550964355, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6812492311000824, "train_acc": 0.58, "val_loss": 0.6724889874458313, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6375267207622528, "train_acc": 0.58, "val_loss": 0.6276624202728271, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5886868536472321, "train_acc": 0.56, "val_loss": 0.47806301712989807, "val_acc": 0.9}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5671499967575073, "train_acc": 0.785, "val_loss": 0.30550453066825867, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.42178210616111755, "train_acc": 0.825, "val_loss": 0.29165714979171753, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.37736134231090546, "train_acc": 0.835, "val_loss": 0.3194402754306793, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.46066702902317047, "train_acc": 0.83, "val_loss": 0.24340805411338806, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3635396808385849, "train_acc": 0.845, "val_loss": 0.2876307964324951, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.36803872883319855, "train_acc": 0.83, "val_loss": 0.27549347281455994, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.33517369627952576, "train_acc": 0.865, "val_loss": 0.2362535446882248, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.31471219658851624, "train_acc": 0.87, "val_loss": 0.18442270159721375, "val_acc": 0.98}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.27787303924560547, "train_acc": 0.885, "val_loss": 0.12659645080566406, "val_acc": 0.96}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.6889872550964355, "final_val_loss": 0.6276624202728271, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.47806301712989807, "final_val_loss": 0.12659645080566406, "initial_val_acc": 0.9, "final_val_acc": 0.96, "best_val_acc": 0.98, "best_epoch": 11}, "improvement": 0.54, "first_improvement_epoch": 2}}
|
9,438
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.44, "improved_accuracy": 0.9, "improvement": 0.46, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7861, "learning_rate": 0.07790806301857692, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "increasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["increasing_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: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.237077,
-0.220413,
0.482638
],
[
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0.211524
],
[
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-0.124185,
-0.034552,
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],
[
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],
[
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],
[
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]
],
"network.0.bias": [
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"network.2.weight": [
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[
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[
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[
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[
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],
"network.2.bias": [
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"network.4.weight": [
[
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[
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[
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[
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"network.6.weight": [
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],
"network.6.bias": [
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"network.8.weight": [
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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.10.bias": [
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]
}
## Activation Signature
### 0
mean: [-1.214225, -2.639565, -0.489053, -3.779485, 2.193071, -2.222544]
std: [2.160806, 1.726842, 2.381076, 2.118245, 1.983168, 1.485468]
pca: [[0.500279, -0.226449, 0.529338, -0.380403, 0.423113, 0.307428, 0.000000, 0.000000, 0.000000, 0.000000], [0.354958, 0.338783, -0.475053, -0.161576, -0.268685, 0.659740, 0.000000, 0.000000, 0.000000, 0.000000], [0.517456, -0.419575, -0.068432, 0.734395, -0.107764, 0.023748, 0.000000, 0.000000, 0.000000, 0.000000], [0.223543, 0.720379, 0.540633, 0.276392, -0.217996, -0.121994, 0.000000, 0.000000, 0.000000, 0.000000], [-0.485396, 0.095733, 0.144779, 0.452072, 0.416885, 0.596743, 0.000000, 0.000000, 0.000000, 0.000000], [0.265299, 0.360267, -0.419759, 0.095334, 0.718231, -0.314137, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.498313, 34.711383, 36.028056, 39.816205, 109.280277], [28.427516, 29.000374, 29.143727, 33.333046, 237.560861], [35.821479, 38.228263, 41.049038, 43.911842, 44.014767], [35.226030, 36.994211, 38.207891, 42.832922, 340.153622], [28.612455, 34.265538, 36.290281, 37.120068, 197.376384], [25.061533, 25.240303, 25.872872, 28.464011, 200.028991]]
### 2
mean: [-0.688962, 1.490547, 2.328825, 0.004375, -0.998190, 0.295371]
std: [0.380687, 0.654003, 2.217854, 1.898857, 0.182906, 0.427833]
pca: [[0.012037, -0.364405, 0.544123, -0.472854, 0.032394, 0.588518, 0.000000, 0.000000, 0.000000, 0.000000], [-0.023822, 0.628128, 0.674311, 0.251553, -0.294392, -0.015708, 0.000000, 0.000000, 0.000000, 0.000000], [0.756443, 0.435770, -0.272157, -0.185264, 0.068025, 0.353382, 0.000000, 0.000000, 0.000000, 0.000000], [-0.636658, 0.498626, -0.264109, -0.224041, 0.299307, 0.369468, 0.000000, 0.000000, 0.000000, 0.000000], [0.015605, -0.172121, -0.018799, 0.792555, 0.237152, 0.534222, 0.000000, 0.000000, 0.000000, 0.000000], [0.146644, 0.067200, 0.324127, -0.021681, 0.872829, -0.326528, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.236773, 6.476738, 7.351873, 7.475765, 62.006555], [9.910642, 11.433938, 12.526468, 12.927378, 134.149210], [33.873458, 35.325030, 36.923051, 39.255221, 209.594211], [26.082508, 27.744411, 29.414184, 33.887759, 41.151308], [2.632446, 2.823085, 3.361894, 3.597937, 89.837145], [6.490949, 6.729025, 7.297892, 7.951642, 26.583399]]
### 4
mean: [4.425798, -1.186890, 4.563044, -1.775941, -1.871763, 2.430431]
std: [3.171402, 2.244256, 2.692150, 1.415028, 1.282196, 1.761120]
pca: [[0.592161, -0.018297, 0.017710, 0.517148, -0.209338, 0.580890, 0.000000, 0.000000, 0.000000, 0.000000], [-0.408832, 0.798644, 0.188544, 0.081432, 0.061972, 0.386009, 0.000000, 0.000000, 0.000000, 0.000000], [0.499122, 0.517525, 0.169773, -0.110655, -0.388790, -0.539278, 0.000000, 0.000000, 0.000000, 0.000000], [-0.264074, -0.050411, 0.185937, 0.827734, 0.065538, -0.451346, 0.000000, 0.000000, 0.000000, 0.000000], [-0.235777, -0.301963, 0.723637, -0.138456, -0.539916, 0.137469, 0.000000, 0.000000, 0.000000, 0.000000], [0.328259, -0.016663, 0.614078, -0.096796, 0.710897, -0.011511, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[47.856987, 51.044910, 51.678225, 56.418043, 398.321845], [32.005782, 32.320362, 37.573119, 44.871331, 106.820073], [40.651560, 43.419974, 45.172281, 46.822451, 410.673997], [20.864635, 22.755717, 24.140784, 24.467331, 159.834690], [19.164533, 19.838819, 22.092545, 25.072648, 168.458677], [27.299166, 27.386922, 27.843228, 31.548711, 218.738830]]
### 6
mean: [9.718102, -2.113591, -2.210475, -1.187281, 12.132307, -5.091882]
std: [6.748415, 0.999793, 0.944460, 0.728377, 7.880334, 2.930351]
pca: [[0.621825, 0.114677, -0.184913, -0.355280, -0.428010, 0.506531, 0.000000, 0.000000, 0.000000, 0.000000], [-0.084452, 0.414620, 0.783242, -0.227233, -0.358085, -0.166223, 0.000000, 0.000000, 0.000000, 0.000000], [-0.081690, 0.344502, 0.048459, 0.800807, -0.189130, 0.441854, 0.000000, 0.000000, 0.000000, 0.000000], [0.013085, 0.754732, -0.504120, -0.063743, 0.001108, -0.414737, 0.000000, 0.000000, 0.000000, 0.000000], [0.726163, 0.101274, 0.296683, 0.241932, 0.529234, -0.189187, 0.000000, 0.000000, 0.000000, 0.000000], [-0.268411, 0.341148, 0.088503, -0.343882, 0.610510, 0.559252, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[101.148144, 107.807289, 108.194154, 117.770407, 874.629201], [14.631198, 17.208132, 17.436030, 17.754034, 190.223170], [15.060057, 15.678600, 15.878933, 17.195046, 198.942786], [10.427345, 10.996092, 12.208886, 12.820111, 106.855339], [117.850006, 125.925130, 127.454092, 136.872527, 1091.907575], [46.489880, 46.908079, 47.247984, 48.978870, 458.269380]]
### 8
mean: [10.014960, 17.869350, 12.405778, -10.755086, -0.196044, -5.733487]
std: [6.248302, 11.322437, 7.802960, 7.184215, 0.060403, 3.522221]
pca: [[0.365557, 0.657435, -0.599640, 0.030784, 0.246185, 0.114121, 0.000000, 0.000000, 0.000000, 0.000000], [0.662432, 0.024720, 0.453947, -0.054314, 0.299928, -0.511467, 0.000000, 0.000000, 0.000000, 0.000000], [0.456520, -0.259151, 0.193802, -0.041044, 0.111119, 0.820267, 0.000000, 0.000000, 0.000000, 0.000000], [-0.420320, 0.003998, 0.104929, -0.248594, 0.862511, 0.081121, 0.000000, 0.000000, 0.000000, 0.000000], [0.003431, -0.255763, -0.122978, 0.914147, 0.285679, -0.046616, 0.000000, 0.000000, 0.000000, 0.000000], [-0.206060, 0.659225, 0.608828, 0.311375, -0.107475, 0.209249, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[95.632952, 100.320491, 101.607624, 104.360483, 901.346353], [173.696035, 182.217343, 184.606134, 188.581459, 1608.241398], [119.802396, 125.681493, 127.342049, 129.831227, 1116.520038], [110.221636, 115.629142, 117.146231, 119.644333, 967.957565], [0.874697, 0.993111, 1.041222, 1.076499, 17.643968], [54.264151, 56.930183, 57.708087, 58.351157, 516.013836]]
### 10
mean: [-27.940836]
std: [17.759823]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[271.717403, 285.140350, 288.739774, 296.736379, 2514.675449]]
## 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.
|
increasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.237077,
-0.220413,
0.482638
],
[
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-0.503871,
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0.211524
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[
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],
[
-0.214801,
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],
[
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[
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],
"network.0.bias": [
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],
"network.2.bias": [
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],
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[
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],
[
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[
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[
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[
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[
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"network.4.bias": [
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"network.6.weight": [
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"network.6.bias": [
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"network.8.weight": [
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],
"network.8.bias": [
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"network.10.weight": [
[
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"network.10.bias": [
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}
## Activation Signature
### 0
mean: [-1.214225, -2.639565, -0.489053, -3.779485, 2.193071, -2.222544]
std: [2.160806, 1.726842, 2.381076, 2.118245, 1.983168, 1.485468]
pca: [[0.500279, -0.226449, 0.529338, -0.380403, 0.423113, 0.307428, 0.000000, 0.000000, 0.000000, 0.000000], [0.354958, 0.338783, -0.475053, -0.161576, -0.268685, 0.659740, 0.000000, 0.000000, 0.000000, 0.000000], [0.517456, -0.419575, -0.068432, 0.734395, -0.107764, 0.023748, 0.000000, 0.000000, 0.000000, 0.000000], [0.223543, 0.720379, 0.540633, 0.276392, -0.217996, -0.121994, 0.000000, 0.000000, 0.000000, 0.000000], [-0.485396, 0.095733, 0.144779, 0.452072, 0.416885, 0.596743, 0.000000, 0.000000, 0.000000, 0.000000], [0.265299, 0.360267, -0.419759, 0.095334, 0.718231, -0.314137, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.498313, 34.711383, 36.028056, 39.816205, 109.280277], [28.427516, 29.000374, 29.143727, 33.333046, 237.560861], [35.821479, 38.228263, 41.049038, 43.911842, 44.014767], [35.226030, 36.994211, 38.207891, 42.832922, 340.153622], [28.612455, 34.265538, 36.290281, 37.120068, 197.376384], [25.061533, 25.240303, 25.872872, 28.464011, 200.028991]]
### 2
mean: [-0.688962, 1.490547, 2.328825, 0.004375, -0.998190, 0.295371]
std: [0.380687, 0.654003, 2.217854, 1.898857, 0.182906, 0.427833]
pca: [[0.012037, -0.364405, 0.544123, -0.472854, 0.032394, 0.588518, 0.000000, 0.000000, 0.000000, 0.000000], [-0.023822, 0.628128, 0.674311, 0.251553, -0.294392, -0.015708, 0.000000, 0.000000, 0.000000, 0.000000], [0.756443, 0.435770, -0.272157, -0.185264, 0.068025, 0.353382, 0.000000, 0.000000, 0.000000, 0.000000], [-0.636658, 0.498626, -0.264109, -0.224041, 0.299307, 0.369468, 0.000000, 0.000000, 0.000000, 0.000000], [0.015605, -0.172121, -0.018799, 0.792555, 0.237152, 0.534222, 0.000000, 0.000000, 0.000000, 0.000000], [0.146644, 0.067200, 0.324127, -0.021681, 0.872829, -0.326528, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.236773, 6.476738, 7.351873, 7.475765, 62.006555], [9.910642, 11.433938, 12.526468, 12.927378, 134.149210], [33.873458, 35.325030, 36.923051, 39.255221, 209.594211], [26.082508, 27.744411, 29.414184, 33.887759, 41.151308], [2.632446, 2.823085, 3.361894, 3.597937, 89.837145], [6.490949, 6.729025, 7.297892, 7.951642, 26.583399]]
### 4
mean: [4.425798, -1.186890, 4.563044, -1.775941, -1.871763, 2.430431]
std: [3.171402, 2.244256, 2.692150, 1.415028, 1.282196, 1.761120]
pca: [[0.592161, -0.018297, 0.017710, 0.517148, -0.209338, 0.580890, 0.000000, 0.000000, 0.000000, 0.000000], [-0.408832, 0.798644, 0.188544, 0.081432, 0.061972, 0.386009, 0.000000, 0.000000, 0.000000, 0.000000], [0.499122, 0.517525, 0.169773, -0.110655, -0.388790, -0.539278, 0.000000, 0.000000, 0.000000, 0.000000], [-0.264074, -0.050411, 0.185937, 0.827734, 0.065538, -0.451346, 0.000000, 0.000000, 0.000000, 0.000000], [-0.235777, -0.301963, 0.723637, -0.138456, -0.539916, 0.137469, 0.000000, 0.000000, 0.000000, 0.000000], [0.328259, -0.016663, 0.614078, -0.096796, 0.710897, -0.011511, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[47.856987, 51.044910, 51.678225, 56.418043, 398.321845], [32.005782, 32.320362, 37.573119, 44.871331, 106.820073], [40.651560, 43.419974, 45.172281, 46.822451, 410.673997], [20.864635, 22.755717, 24.140784, 24.467331, 159.834690], [19.164533, 19.838819, 22.092545, 25.072648, 168.458677], [27.299166, 27.386922, 27.843228, 31.548711, 218.738830]]
### 6
mean: [9.718102, -2.113591, -2.210475, -1.187281, 12.132307, -5.091882]
std: [6.748415, 0.999793, 0.944460, 0.728377, 7.880334, 2.930351]
pca: [[0.621825, 0.114677, -0.184913, -0.355280, -0.428010, 0.506531, 0.000000, 0.000000, 0.000000, 0.000000], [-0.084452, 0.414620, 0.783242, -0.227233, -0.358085, -0.166223, 0.000000, 0.000000, 0.000000, 0.000000], [-0.081690, 0.344502, 0.048459, 0.800807, -0.189130, 0.441854, 0.000000, 0.000000, 0.000000, 0.000000], [0.013085, 0.754732, -0.504120, -0.063743, 0.001108, -0.414737, 0.000000, 0.000000, 0.000000, 0.000000], [0.726163, 0.101274, 0.296683, 0.241932, 0.529234, -0.189187, 0.000000, 0.000000, 0.000000, 0.000000], [-0.268411, 0.341148, 0.088503, -0.343882, 0.610510, 0.559252, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[101.148144, 107.807289, 108.194154, 117.770407, 874.629201], [14.631198, 17.208132, 17.436030, 17.754034, 190.223170], [15.060057, 15.678600, 15.878933, 17.195046, 198.942786], [10.427345, 10.996092, 12.208886, 12.820111, 106.855339], [117.850006, 125.925130, 127.454092, 136.872527, 1091.907575], [46.489880, 46.908079, 47.247984, 48.978870, 458.269380]]
### 8
mean: [10.014960, 17.869350, 12.405778, -10.755086, -0.196044, -5.733487]
std: [6.248302, 11.322437, 7.802960, 7.184215, 0.060403, 3.522221]
pca: [[0.365557, 0.657435, -0.599640, 0.030784, 0.246185, 0.114121, 0.000000, 0.000000, 0.000000, 0.000000], [0.662432, 0.024720, 0.453947, -0.054314, 0.299928, -0.511467, 0.000000, 0.000000, 0.000000, 0.000000], [0.456520, -0.259151, 0.193802, -0.041044, 0.111119, 0.820267, 0.000000, 0.000000, 0.000000, 0.000000], [-0.420320, 0.003998, 0.104929, -0.248594, 0.862511, 0.081121, 0.000000, 0.000000, 0.000000, 0.000000], [0.003431, -0.255763, -0.122978, 0.914147, 0.285679, -0.046616, 0.000000, 0.000000, 0.000000, 0.000000], [-0.206060, 0.659225, 0.608828, 0.311375, -0.107475, 0.209249, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[95.632952, 100.320491, 101.607624, 104.360483, 901.346353], [173.696035, 182.217343, 184.606134, 188.581459, 1608.241398], [119.802396, 125.681493, 127.342049, 129.831227, 1116.520038], [110.221636, 115.629142, 117.146231, 119.644333, 967.957565], [0.874697, 0.993111, 1.041222, 1.076499, 17.643968], [54.264151, 56.930183, 57.708087, 58.351157, 516.013836]]
### 10
mean: [-27.940836]
std: [17.759823]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[271.717403, 285.140350, 288.739774, 296.736379, 2514.675449]]
## 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.
increasing_pairs
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -1.2142252922058105, "std": 2.1608059406280518, "pca": [0.5002791285514832, -0.22644945979118347, 0.5293377637863159, -0.38040316104888916, 0.42311257123947144, 0.30742818117141724, 0.0, 0.0, 0.0, 0.0], "fourier": [34.498312759788945, 34.711382762326195, 36.02805640348051, 39.81620466443678, 109.28027728199959]}, "1": {"mean": -2.6395652294158936, "std": 1.7268415689468384, "pca": [0.3549576997756958, 0.33878281712532043, -0.47505345940589905, -0.1615762710571289, -0.26868465542793274, 0.6597402095794678, 0.0, 0.0, 0.0, 0.0], "fourier": [28.427515835786252, 29.00037447615106, 29.143727178544403, 33.3330458440329, 237.5608607530594]}, "2": {"mean": -0.489052951335907, "std": 2.381075620651245, "pca": [0.5174561142921448, -0.4195753335952759, -0.06843184679746628, 0.734394907951355, -0.10776367783546448, 0.023747887462377548, 0.0, 0.0, 0.0, 0.0], "fourier": [35.82147948012786, 38.22826277032486, 41.04903843447433, 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"sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.945486, -0.280974, 0.237077, -0.220413, 0.482638], [-0.15794, -0.420275, -0.503871, -0.312174, 0.211524], [-0.958734, -0.011294, -0.124185, -0.034552, 0.927045], [-0.214801, -0.197337, -0.524196, -0.312406, -0.583716], [0.638354, 0.309913, 0.085182, 0.361844, -0.631024], [-0.03342, -0.493122, -0.470202, -0.065248, 0.014625]], "network.0.bias": [-0.14344, -0.216091, -0.085234, -0.667744, 0.658318, -0.178292], "network.2.weight": [[-0.167819, 0.130428, -0.2414, 0.493876, -0.1949, 0.166778], [0.738528, -0.033517, 0.24968, -0.063225, 0.333031, 0.548216], [0.333246, 0.306262, -0.757895, -0.174537, 0.924125, -0.563932], [0.341786, 0.257046, 1.089353, -0.030981, -0.289391, 0.524969], [-0.1558, -0.457231, -0.097814, 0.242727, -0.083136, -0.08877], [0.154483, 0.183489, -0.194741, -0.476939, 0.169363, -0.100069]], "network.2.bias": [-0.061258, 0.386213, 0.561639, -0.049493, -0.710195, -0.022451], "network.4.weight": [[-0.031325, 0.640879, 1.189614, -0.794563, 0.40581, 0.264087], [0.612799, -0.156324, -0.748779, 0.774707, -0.660612, 0.1275], [0.161459, 0.765739, 1.142648, -0.51818, 0.057634, -0.131264], [0.175107, -0.541018, -0.579065, 0.433757, -0.10474, 0.543584], [0.217832, -1.059826, -0.282206, 0.558112, -0.081975, -0.13214], [-0.242697, -0.135205, 0.877228, -0.200752, 0.379732, -0.140253]], "network.4.bias": [0.86307, 0.403422, 0.8996, 0.024485, 0.113745, 0.583176], "network.6.weight": [[1.225918, -0.554167, 0.630864, -0.31812, 0.051544, 0.613605], [-0.66501, -0.196885, 0.497743, -0.390004, -0.597206, -0.34548], [-0.308905, -0.110625, -0.04063, -0.633027, -0.344721, -0.047223], [-0.23344, -0.618223, 0.205379, -0.454394, -0.563547, -0.200385], [1.274525, -0.569925, 0.863066, -0.397036, -0.412808, 0.81368], [-0.707863, -0.081704, -0.024455, -0.000481, -0.437202, -0.539398]], "network.6.bias": [-0.009629, -0.334978, -0.378978, -0.201409, 0.646064, -0.340067], "network.8.weight": [[0.187336, -0.051037, -0.193522, 0.1676, 0.666057, -0.400465], [0.74117, -0.125632, 0.468815, -0.079699, 0.87074, -0.261823], [0.609901, 0.35869, 0.307554, -0.012331, 0.517113, -0.187709], [-0.479891, -0.213866, 0.270774, -0.229688, -0.544451, -0.382871], [0.09385, -0.330986, -0.076261, 0.001393, -0.070832, -0.281278], [-0.46499, -0.62615, 0.018945, -0.346903, -0.074628, -0.015295]], "network.8.bias": [-0.041587, -0.216609, -0.024335, 0.717366, -0.258871, -0.187896], "network.10.weight": [[-0.79065, -0.657712, -0.680136, 0.72025, 0.142584, -0.193907]], "network.10.bias": [0.126957]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7029929459095001, "train_acc": 0.47, "val_loss": 0.70723557472229, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.677506148815155, "train_acc": 0.59, "val_loss": 0.7245030403137207, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6750399768352509, "train_acc": 0.59, "val_loss": 0.7337921261787415, "val_acc": 0.44}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.672082394361496, "train_acc": 0.59, "val_loss": 0.6950942873954773, "val_acc": 0.44}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6014440655708313, "train_acc": 0.59, "val_loss": 0.6418964862823486, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.5956031680107117, "train_acc": 0.515, "val_loss": 0.5905940532684326, "val_acc": 0.44}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5350605547428131, "train_acc": 0.515, "val_loss": 0.48774051666259766, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.47221001982688904, "train_acc": 0.795, "val_loss": 0.43450114130973816, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.41369013488292694, "train_acc": 0.815, "val_loss": 0.3430509865283966, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.4338699281215668, "train_acc": 0.85, "val_loss": 0.30558863282203674, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.3880801945924759, "train_acc": 0.855, "val_loss": 0.34986820816993713, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.44870880246162415, "train_acc": 0.795, "val_loss": 0.42185303568840027, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.4702615737915039, "train_acc": 0.78, "val_loss": 0.42092159390449524, "val_acc": 0.82}], "summary": {"total_epochs": 13, "degraded_epochs": 5, "improved_epochs": 8, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.70723557472229, "final_val_loss": 0.6418964862823486, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.5905940532684326, "final_val_loss": 0.42092159390449524, "initial_val_acc": 0.44, "final_val_acc": 0.82, "best_val_acc": 0.9, "best_epoch": 8}, "improvement": 0.46, "first_improvement_epoch": 4}}
|
9,439
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.68, "improved_accuracy": 0.86, "improvement": 0.17999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3229, "learning_rate": 0.04692428511133132, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "starts_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["starts_with"], "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: 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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[
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[
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],
[
1.265099,
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[
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]
],
"network.0.bias": [
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}
## Activation Signature
### 0
mean: [0.904398, -2.124454, 2.059156, -0.294155, 1.355461, 0.726717]
std: [2.706891, 1.853746, 2.456474, 1.301602, 2.394617, 2.006738]
pca: [[0.490079, 0.685046, 0.335642, -0.009394, 0.303571, 0.292636, 0.000000, 0.000000, 0.000000, 0.000000], [-0.224048, -0.136186, 0.700143, 0.657975, -0.089975, 0.005440, 0.000000, 0.000000, 0.000000, 0.000000], [0.547920, -0.058314, -0.389964, 0.521310, -0.486994, 0.188108, 0.000000, 0.000000, 0.000000, 0.000000], [0.042070, -0.518867, -0.006245, -0.042714, 0.366200, 0.770092, 0.000000, 0.000000, 0.000000, 0.000000], [0.527585, -0.400752, 0.055819, 0.111420, 0.509667, -0.534566, 0.000000, 0.000000, 0.000000, 0.000000], [-0.359574, 0.280963, -0.491851, 0.530074, 0.518385, -0.012146, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.295730, 42.832160, 45.302072, 53.607533, 81.395799], [26.819492, 29.854366, 34.305690, 37.448096, 191.200864], [39.685081, 43.531144, 43.939364, 48.241366, 185.324053], [18.952181, 24.477909, 25.450213, 25.473273, 26.473930], [42.550595, 43.853000, 45.976759, 54.400988, 121.991471], [34.980208, 35.270365, 36.698680, 41.377763, 65.404506]]
### 2
mean: [0.598345, 1.167322, -1.331593, 2.740022, -1.474679, -0.055200]
std: [1.109289, 3.021741, 1.025043, 3.664167, 1.309537, 1.204176]
pca: [[-0.129045, 0.242756, -0.553827, 0.608662, 0.493938, -0.056988, 0.000000, 0.000000, 0.000000, 0.000000], [0.548464, 0.732703, -0.188865, -0.314576, -0.021898, 0.165002, 0.000000, 0.000000, 0.000000, 0.000000], [0.095262, 0.183636, 0.744232, 0.122744, 0.622042, 0.036325, 0.000000, 0.000000, 0.000000, 0.000000], [0.756121, -0.488816, -0.042808, 0.343789, -0.003484, 0.263259, 0.000000, 0.000000, 0.000000, 0.000000], [-0.225647, 0.293945, 0.239384, 0.488773, -0.469430, 0.588312, 0.000000, 0.000000, 0.000000, 0.000000], [-0.225443, -0.212482, -0.211158, -0.398015, 0.385010, 0.743499, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.263736, 17.079651, 17.950066, 27.137466, 53.851047], [49.644253, 53.421062, 60.003814, 71.510024, 105.059010], [16.992099, 17.899931, 17.937433, 18.716968, 119.843340], [64.023705, 65.316772, 67.451239, 68.229896, 246.601985], [21.002233, 21.495803, 21.934580, 24.579761, 132.721148], [18.532909, 18.829137, 22.429233, 25.957437, 26.186710]]
### 4
mean: [2.364379, 4.564859, -0.719595, 1.914347, -1.336534, 0.930001]
std: [3.093270, 5.450937, 1.653582, 2.432260, 3.022380, 1.531777]
pca: [[0.408110, -0.168216, -0.066241, -0.577234, 0.668445, -0.144029, 0.000000, 0.000000, 0.000000, 0.000000], [0.721700, -0.173149, -0.426046, 0.064871, -0.401501, 0.319754, 0.000000, 0.000000, 0.000000, 0.000000], [0.161450, 0.732412, -0.073972, 0.298457, 0.423335, 0.404655, 0.000000, 0.000000, 0.000000, 0.000000], [0.311461, -0.381675, 0.332150, 0.708341, 0.310899, -0.220425, 0.000000, 0.000000, 0.000000, 0.000000], [-0.387237, -0.509308, -0.212356, 0.074537, 0.296456, 0.672395, 0.000000, 0.000000, 0.000000, 0.000000], [0.198920, -0.014990, 0.808212, -0.257319, -0.167995, 0.461047, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[52.344372, 55.764907, 59.065793, 67.807849, 212.794127], [92.915746, 100.211828, 105.978106, 118.235905, 410.837315], [28.026613, 30.276816, 33.421757, 37.359206, 64.763598], [41.752471, 43.529566, 44.000678, 47.704737, 172.291237], [57.325671, 59.560054, 59.715726, 65.517834, 120.288093], [25.574243, 27.398103, 28.009482, 32.149876, 83.700068]]
### 6
mean: [-1.923636, -3.777002, 5.801902, 5.193795, 6.543357, 5.438508]
std: [1.904043, 5.342002, 7.236548, 6.160873, 8.351067, 7.030065]
pca: [[-0.119787, -0.435711, 0.699211, 0.275263, 0.444540, 0.183099, 0.000000, 0.000000, 0.000000, 0.000000], [-0.342630, 0.753712, 0.310289, -0.158487, 0.078400, 0.432411, 0.000000, 0.000000, 0.000000, 0.000000], [0.465983, 0.127791, -0.397866, 0.058536, 0.706357, 0.325370, 0.000000, 0.000000, 0.000000, 0.000000], [0.396378, 0.331118, 0.152920, 0.791645, -0.286738, -0.030665, 0.000000, 0.000000, 0.000000, 0.000000], [0.537658, 0.235619, 0.458733, -0.430464, 0.124371, -0.494169, 0.000000, 0.000000, 0.000000, 0.000000], [0.452685, -0.246148, 0.150687, -0.289282, -0.446778, 0.654588, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.514314, 37.015326, 37.284012, 42.515870, 173.127221], [94.572217, 94.739256, 103.369832, 113.199933, 339.930201], [125.136100, 134.295450, 140.667422, 155.815736, 522.171238], [108.434950, 115.059439, 119.817590, 130.086893, 467.441603], [145.715235, 152.821980, 159.159264, 177.158517, 588.902190], [123.420756, 126.693769, 134.493644, 149.026480, 489.465720]]
### 8
mean: [-14.859676]
std: [19.282026]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[334.799101, 355.503853, 371.792461, 410.558456, 1337.370699]]
## 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.
|
starts_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.0.bias": [
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[
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],
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"network.8.weight": [
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-1.079233,
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],
"network.8.bias": [
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}
## Activation Signature
### 0
mean: [0.904398, -2.124454, 2.059156, -0.294155, 1.355461, 0.726717]
std: [2.706891, 1.853746, 2.456474, 1.301602, 2.394617, 2.006738]
pca: [[0.490079, 0.685046, 0.335642, -0.009394, 0.303571, 0.292636, 0.000000, 0.000000, 0.000000, 0.000000], [-0.224048, -0.136186, 0.700143, 0.657975, -0.089975, 0.005440, 0.000000, 0.000000, 0.000000, 0.000000], [0.547920, -0.058314, -0.389964, 0.521310, -0.486994, 0.188108, 0.000000, 0.000000, 0.000000, 0.000000], [0.042070, -0.518867, -0.006245, -0.042714, 0.366200, 0.770092, 0.000000, 0.000000, 0.000000, 0.000000], [0.527585, -0.400752, 0.055819, 0.111420, 0.509667, -0.534566, 0.000000, 0.000000, 0.000000, 0.000000], [-0.359574, 0.280963, -0.491851, 0.530074, 0.518385, -0.012146, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.295730, 42.832160, 45.302072, 53.607533, 81.395799], [26.819492, 29.854366, 34.305690, 37.448096, 191.200864], [39.685081, 43.531144, 43.939364, 48.241366, 185.324053], [18.952181, 24.477909, 25.450213, 25.473273, 26.473930], [42.550595, 43.853000, 45.976759, 54.400988, 121.991471], [34.980208, 35.270365, 36.698680, 41.377763, 65.404506]]
### 2
mean: [0.598345, 1.167322, -1.331593, 2.740022, -1.474679, -0.055200]
std: [1.109289, 3.021741, 1.025043, 3.664167, 1.309537, 1.204176]
pca: [[-0.129045, 0.242756, -0.553827, 0.608662, 0.493938, -0.056988, 0.000000, 0.000000, 0.000000, 0.000000], [0.548464, 0.732703, -0.188865, -0.314576, -0.021898, 0.165002, 0.000000, 0.000000, 0.000000, 0.000000], [0.095262, 0.183636, 0.744232, 0.122744, 0.622042, 0.036325, 0.000000, 0.000000, 0.000000, 0.000000], [0.756121, -0.488816, -0.042808, 0.343789, -0.003484, 0.263259, 0.000000, 0.000000, 0.000000, 0.000000], [-0.225647, 0.293945, 0.239384, 0.488773, -0.469430, 0.588312, 0.000000, 0.000000, 0.000000, 0.000000], [-0.225443, -0.212482, -0.211158, -0.398015, 0.385010, 0.743499, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.263736, 17.079651, 17.950066, 27.137466, 53.851047], [49.644253, 53.421062, 60.003814, 71.510024, 105.059010], [16.992099, 17.899931, 17.937433, 18.716968, 119.843340], [64.023705, 65.316772, 67.451239, 68.229896, 246.601985], [21.002233, 21.495803, 21.934580, 24.579761, 132.721148], [18.532909, 18.829137, 22.429233, 25.957437, 26.186710]]
### 4
mean: [2.364379, 4.564859, -0.719595, 1.914347, -1.336534, 0.930001]
std: [3.093270, 5.450937, 1.653582, 2.432260, 3.022380, 1.531777]
pca: [[0.408110, -0.168216, -0.066241, -0.577234, 0.668445, -0.144029, 0.000000, 0.000000, 0.000000, 0.000000], [0.721700, -0.173149, -0.426046, 0.064871, -0.401501, 0.319754, 0.000000, 0.000000, 0.000000, 0.000000], [0.161450, 0.732412, -0.073972, 0.298457, 0.423335, 0.404655, 0.000000, 0.000000, 0.000000, 0.000000], [0.311461, -0.381675, 0.332150, 0.708341, 0.310899, -0.220425, 0.000000, 0.000000, 0.000000, 0.000000], [-0.387237, -0.509308, -0.212356, 0.074537, 0.296456, 0.672395, 0.000000, 0.000000, 0.000000, 0.000000], [0.198920, -0.014990, 0.808212, -0.257319, -0.167995, 0.461047, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[52.344372, 55.764907, 59.065793, 67.807849, 212.794127], [92.915746, 100.211828, 105.978106, 118.235905, 410.837315], [28.026613, 30.276816, 33.421757, 37.359206, 64.763598], [41.752471, 43.529566, 44.000678, 47.704737, 172.291237], [57.325671, 59.560054, 59.715726, 65.517834, 120.288093], [25.574243, 27.398103, 28.009482, 32.149876, 83.700068]]
### 6
mean: [-1.923636, -3.777002, 5.801902, 5.193795, 6.543357, 5.438508]
std: [1.904043, 5.342002, 7.236548, 6.160873, 8.351067, 7.030065]
pca: [[-0.119787, -0.435711, 0.699211, 0.275263, 0.444540, 0.183099, 0.000000, 0.000000, 0.000000, 0.000000], [-0.342630, 0.753712, 0.310289, -0.158487, 0.078400, 0.432411, 0.000000, 0.000000, 0.000000, 0.000000], [0.465983, 0.127791, -0.397866, 0.058536, 0.706357, 0.325370, 0.000000, 0.000000, 0.000000, 0.000000], [0.396378, 0.331118, 0.152920, 0.791645, -0.286738, -0.030665, 0.000000, 0.000000, 0.000000, 0.000000], [0.537658, 0.235619, 0.458733, -0.430464, 0.124371, -0.494169, 0.000000, 0.000000, 0.000000, 0.000000], [0.452685, -0.246148, 0.150687, -0.289282, -0.446778, 0.654588, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.514314, 37.015326, 37.284012, 42.515870, 173.127221], [94.572217, 94.739256, 103.369832, 113.199933, 339.930201], [125.136100, 134.295450, 140.667422, 155.815736, 522.171238], [108.434950, 115.059439, 119.817590, 130.086893, 467.441603], [145.715235, 152.821980, 159.159264, 177.158517, 588.902190], [123.420756, 126.693769, 134.493644, 149.026480, 489.465720]]
### 8
mean: [-14.859676]
std: [19.282026]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[334.799101, 355.503853, 371.792461, 410.558456, 1337.370699]]
## 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.
starts_with
|
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"precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.539694, 0.962765, -0.057119, -0.183326, -0.847834], [-0.030786, -0.067874, -0.942775, 0.106813, 0.204124], [0.850145, 0.306698, 0.351404, -0.436345, 0.057705], [0.45023, -0.662541, -0.022323, 0.242992, 0.195755], [1.265099, -0.331167, 0.045379, 0.096948, -0.17322], [-0.97772, 0.483828, 0.231372, 0.01263, 0.593241]], "network.0.bias": [0.036516, -0.473919, 0.57283, -0.363029, 0.295522, -0.180268], "network.2.weight": [[-0.566868, 0.786074, 0.391661, -0.670163, -0.110856, 0.391894], [-0.805668, -0.414265, 0.184053, 0.681104, 1.122091, -0.323487], [-0.087168, -0.159035, -0.085993, -0.175867, 0.092951, -0.704166], [0.584054, -0.760921, 0.268314, 0.043411, 0.899746, -0.297387], [-0.408942, 1.035352, 0.197923, -0.473169, -0.463614, -0.273528], [0.255415, -0.24006, -0.268449, 0.140858, -0.200256, 0.456443]], "network.2.bias": [0.480817, 0.460558, -0.33265, 0.370842, -0.187847, -0.119989], "network.4.weight": [[0.081652, 0.638658, -0.381092, 0.491731, 0.477291, 0.284668], [-0.213543, 1.085155, -0.814227, 0.848728, -0.395944, 0.145589], [-0.664401, 0.710898, -0.530345, -0.258388, -0.127021, -0.645465], [-0.204265, 0.266092, -0.325333, 0.5233, 0.173136, 0.505107], [0.592844, -1.019505, 0.282107, -0.065778, -0.506476, 0.236125], [-0.204411, 0.437752, 0.254704, 0.139468, 1.213665, 0.463033]], "network.4.bias": [-0.170221, 0.449149, -0.550947, -0.002645, -0.010263, -0.038928], "network.6.weight": [[-0.081262, -0.72676, 0.156809, 0.514818, -0.286229, 0.663427], [-0.018955, -0.382216, -0.330497, -0.661584, 0.562805, -0.850324], [0.686785, 0.894125, -0.319605, 0.141532, -0.388716, -0.037136], [0.026074, 1.022298, -0.598715, 0.243768, -0.453893, 0.085139], [0.491453, 0.97955, -0.681371, 0.595141, -0.159734, 0.260241], [0.125731, 0.766527, -0.161907, 0.723534, -0.257991, 0.498825]], "network.6.bias": [0.006685, -0.057461, 0.167701, 0.291039, -0.125268, -0.004741], "network.8.weight": [[-0.604325, 0.402087, -0.784211, -1.079233, -0.537719, -0.346638]], "network.8.bias": [0.613117]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7038625478744507, "train_acc": 0.43, "val_loss": 0.6741409301757812, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6438354849815369, "train_acc": 0.615, "val_loss": 0.6871426105499268, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6396420001983643, "train_acc": 0.62, "val_loss": 0.6105564832687378, "val_acc": 0.68}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5606690645217896, "train_acc": 0.695, "val_loss": 0.5514456629753113, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5130559504032135, "train_acc": 0.755, "val_loss": 0.5265528559684753, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5166414827108383, "train_acc": 0.76, "val_loss": 0.46244385838508606, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4622037410736084, "train_acc": 0.775, "val_loss": 0.46485406160354614, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.4597356468439102, "train_acc": 0.775, "val_loss": 0.4455615282058716, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.4314929395914078, "train_acc": 0.785, "val_loss": 0.5139545202255249, "val_acc": 0.74}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.41869813203811646, "train_acc": 0.795, "val_loss": 0.4267343282699585, "val_acc": 0.8}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.394362211227417, "train_acc": 0.815, "val_loss": 0.40145981311798096, "val_acc": 0.8}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.3811417520046234, "train_acc": 0.825, "val_loss": 0.37292832136154175, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.3484336584806442, "train_acc": 0.855, "val_loss": 0.3463941216468811, "val_acc": 0.86}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.6741409301757812, "final_val_loss": 0.6105564832687378, "initial_val_acc": 0.54, "final_val_acc": 0.68, "best_val_acc": 0.68}, "improved_stage": {"initial_val_loss": 0.5514456629753113, "final_val_loss": 0.3463941216468811, "initial_val_acc": 0.72, "final_val_acc": 0.86, "best_val_acc": 0.86, "best_epoch": 12}, "improvement": 0.17999999999999994, "first_improvement_epoch": 2}}
|
9,440
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.6, "improved_accuracy": 0.82, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5229, "learning_rate": 0.060888651935799405, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "starts_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["starts_with"], "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: 5
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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],
[
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],
[
-1.415712,
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],
[
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]
],
"network.0.bias": [
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],
"network.2.weight": [
[
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],
[
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[
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],
[
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]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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],
[
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[
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[
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[
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"network.4.bias": [
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"network.6.weight": [
[
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0.128055,
0.451191,
0.629719,
0.31631
],
[
0.787846,
-0.72261,
0.039272,
-0.373908,
0.03389
],
[
-0.267106,
0.520317,
0.263238,
0.47475,
-0.145852
],
[
0.840451,
-0.252611,
-0.385818,
-0.492239,
0.131062
],
[
0.472917,
-0.289503,
-0.600914,
-0.45088,
0.393752
]
],
"network.6.bias": [
-0.312603,
0.2456,
0.257512,
0.268424,
0.387962
],
"network.8.weight": [
[
0.466597,
-0.586491,
0.543795,
-0.866264,
-0.450692
]
],
"network.8.bias": [
0.191144
]
}
## Activation Signature
### 0
mean: [-0.081566, -0.187514, 0.441217, -1.246374, 1.988365]
std: [2.118374, 0.855487, 2.448386, 2.791360, 3.634117]
pca: [[0.141253, 0.885286, -0.166047, 0.342756, 0.226415, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.048854, -0.189142, -0.366414, -0.247176, 0.875490, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.448198, -0.419830, -0.126607, 0.772619, 0.099455, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.516646, -0.017712, 0.690924, 0.357298, 0.357388, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.714042, 0.062639, 0.587166, -0.311159, 0.211272, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.268584, 32.738277, 32.885514, 42.806608, 47.036622], [13.076702, 13.254570, 13.877899, 16.876250, 20.470212], [38.680580, 38.788176, 39.709510, 42.588808, 47.514535], [46.814939, 46.823375, 49.366288, 50.026805, 112.173625], [58.281155, 60.928244, 66.698469, 72.998684, 178.952840]]
### 2
mean: [3.287593, 3.155521, 0.015858, -2.580358, -1.991699]
std: [5.410552, 4.981102, 1.182285, 2.426491, 3.864964]
pca: [[0.627106, 0.320920, 0.627612, 0.329785, 0.033074, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.579147, -0.299752, -0.330295, -0.244885, 0.636925, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.123346, -0.190454, -0.465092, 0.847642, -0.117074, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.244465, 0.772702, -0.251960, 0.141329, 0.509618, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.443113, -0.416915, 0.466062, 0.304637, 0.565522, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[87.144641, 91.718988, 93.649470, 106.429758, 295.883391], [86.594518, 86.749594, 88.285895, 89.895065, 283.996917], [18.383755, 18.540028, 20.208524, 20.334739, 21.245604], [42.536487, 42.703320, 45.678044, 51.352634, 232.232267], [65.600862, 66.033126, 66.039480, 68.040015, 179.252869]]
### 4
mean: [6.914374, -2.286215, -2.737833, -1.948196, -3.241716]
std: [10.657299, 4.642015, 5.219158, 3.839839, 4.465372]
pca: [[0.761073, -0.236991, 0.599609, -0.004872, 0.071048, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.329154, -0.552746, 0.226702, -0.676566, -0.277479, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.372458, -0.224649, 0.284538, 0.112770, 0.846834, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.272522, -0.425324, 0.231932, 0.724762, -0.407136, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.315328, 0.637918, 0.674033, -0.065105, -0.187268, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[179.457693, 183.205462, 190.061762, 197.899752, 622.293714], [79.923475, 80.849449, 81.033564, 83.371887, 205.759345], [89.248780, 91.059948, 91.703927, 94.201400, 246.404968], [66.055399, 67.076890, 67.577511, 67.886878, 175.337608], [71.679680, 72.951462, 76.900916, 87.153143, 291.754427]]
### 6
mean: [-1.255965, 5.414930, -1.286162, 5.806058, 3.324583]
std: [1.981285, 8.577766, 3.064557, 9.135328, 5.265614]
pca: [[-0.139704, 0.619480, 0.032015, 0.751845, -0.174446, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.609703, 0.198639, 0.648866, 0.016951, 0.409256, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.217145, 0.603601, -0.330743, -0.391088, 0.571116, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.649295, 0.332552, -0.388068, -0.253527, -0.502945, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.374179, -0.319158, -0.563880, 0.466065, 0.472177, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.594322, 33.121277, 33.849169, 38.074787, 113.036833], [142.728391, 148.284206, 150.317754, 160.510628, 487.343790], [50.899254, 51.695948, 52.854965, 58.374554, 115.754616], [151.780763, 157.769525, 160.501046, 171.257780, 522.545303], [86.940565, 90.931361, 91.150759, 99.830429, 299.212406]]
### 8
mean: [-9.438888]
std: [15.366150]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[254.046145, 266.593342, 268.020531, 287.378625, 849.499836]]
## 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.
|
starts_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.706092,
-0.823162,
0.142511,
-0.108012,
0.439465
],
[
-0.032481,
-0.090789,
-0.302412,
0.233616,
-0.138052
],
[
0.925122,
0.674368,
-0.547053,
-0.088108,
-0.268988
],
[
-1.415712,
0.073247,
0.524407,
-0.488714,
0.089312
],
[
1.56565,
0.333588,
0.303181,
-0.100399,
-0.587251
]
],
"network.0.bias": [
-0.068346,
0.319337,
-0.275469,
0.224368,
-0.261607
],
"network.2.weight": [
[
-0.346263,
0.199483,
1.372989,
0.262528,
0.9406
],
[
0.368747,
-0.535735,
0.934861,
-0.602175,
0.882274
],
[
0.366379,
-1.186422,
0.390727,
-0.436308,
-0.013891
],
[
-0.490236,
-0.014076,
0.352358,
-0.146296,
-0.778987
],
[
0.25235,
0.684344,
-1.227146,
0.792544,
-0.431287
]
],
"network.2.bias": [
-0.186979,
0.258882,
-0.25706,
-0.829739,
-0.281015
],
"network.4.weight": [
[
1.005908,
0.996575,
0.457401,
0.505609,
0.003756
],
[
-0.11516,
-0.633755,
-0.961035,
-0.212098,
0.64543
],
[
-0.300613,
-0.664729,
-0.353799,
0.034763,
0.471313
],
[
-0.043048,
-0.643583,
-0.407325,
-0.581087,
0.458564
],
[
-0.776398,
-0.159129,
0.647296,
-0.029459,
0.330333
]
],
"network.4.bias": [
0.25188,
0.340381,
0.439179,
0.267943,
-0.432739
],
"network.6.weight": [
[
-0.169239,
0.128055,
0.451191,
0.629719,
0.31631
],
[
0.787846,
-0.72261,
0.039272,
-0.373908,
0.03389
],
[
-0.267106,
0.520317,
0.263238,
0.47475,
-0.145852
],
[
0.840451,
-0.252611,
-0.385818,
-0.492239,
0.131062
],
[
0.472917,
-0.289503,
-0.600914,
-0.45088,
0.393752
]
],
"network.6.bias": [
-0.312603,
0.2456,
0.257512,
0.268424,
0.387962
],
"network.8.weight": [
[
0.466597,
-0.586491,
0.543795,
-0.866264,
-0.450692
]
],
"network.8.bias": [
0.191144
]
}
## Activation Signature
### 0
mean: [-0.081566, -0.187514, 0.441217, -1.246374, 1.988365]
std: [2.118374, 0.855487, 2.448386, 2.791360, 3.634117]
pca: [[0.141253, 0.885286, -0.166047, 0.342756, 0.226415, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.048854, -0.189142, -0.366414, -0.247176, 0.875490, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.448198, -0.419830, -0.126607, 0.772619, 0.099455, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.516646, -0.017712, 0.690924, 0.357298, 0.357388, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.714042, 0.062639, 0.587166, -0.311159, 0.211272, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.268584, 32.738277, 32.885514, 42.806608, 47.036622], [13.076702, 13.254570, 13.877899, 16.876250, 20.470212], [38.680580, 38.788176, 39.709510, 42.588808, 47.514535], [46.814939, 46.823375, 49.366288, 50.026805, 112.173625], [58.281155, 60.928244, 66.698469, 72.998684, 178.952840]]
### 2
mean: [3.287593, 3.155521, 0.015858, -2.580358, -1.991699]
std: [5.410552, 4.981102, 1.182285, 2.426491, 3.864964]
pca: [[0.627106, 0.320920, 0.627612, 0.329785, 0.033074, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.579147, -0.299752, -0.330295, -0.244885, 0.636925, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.123346, -0.190454, -0.465092, 0.847642, -0.117074, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.244465, 0.772702, -0.251960, 0.141329, 0.509618, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.443113, -0.416915, 0.466062, 0.304637, 0.565522, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[87.144641, 91.718988, 93.649470, 106.429758, 295.883391], [86.594518, 86.749594, 88.285895, 89.895065, 283.996917], [18.383755, 18.540028, 20.208524, 20.334739, 21.245604], [42.536487, 42.703320, 45.678044, 51.352634, 232.232267], [65.600862, 66.033126, 66.039480, 68.040015, 179.252869]]
### 4
mean: [6.914374, -2.286215, -2.737833, -1.948196, -3.241716]
std: [10.657299, 4.642015, 5.219158, 3.839839, 4.465372]
pca: [[0.761073, -0.236991, 0.599609, -0.004872, 0.071048, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.329154, -0.552746, 0.226702, -0.676566, -0.277479, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.372458, -0.224649, 0.284538, 0.112770, 0.846834, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.272522, -0.425324, 0.231932, 0.724762, -0.407136, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.315328, 0.637918, 0.674033, -0.065105, -0.187268, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[179.457693, 183.205462, 190.061762, 197.899752, 622.293714], [79.923475, 80.849449, 81.033564, 83.371887, 205.759345], [89.248780, 91.059948, 91.703927, 94.201400, 246.404968], [66.055399, 67.076890, 67.577511, 67.886878, 175.337608], [71.679680, 72.951462, 76.900916, 87.153143, 291.754427]]
### 6
mean: [-1.255965, 5.414930, -1.286162, 5.806058, 3.324583]
std: [1.981285, 8.577766, 3.064557, 9.135328, 5.265614]
pca: [[-0.139704, 0.619480, 0.032015, 0.751845, -0.174446, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.609703, 0.198639, 0.648866, 0.016951, 0.409256, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.217145, 0.603601, -0.330743, -0.391088, 0.571116, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.649295, 0.332552, -0.388068, -0.253527, -0.502945, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.374179, -0.319158, -0.563880, 0.466065, 0.472177, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.594322, 33.121277, 33.849169, 38.074787, 113.036833], [142.728391, 148.284206, 150.317754, 160.510628, 487.343790], [50.899254, 51.695948, 52.854965, 58.374554, 115.754616], [151.780763, 157.769525, 160.501046, 171.257780, 522.545303], [86.940565, 90.931361, 91.150759, 99.830429, 299.212406]]
### 8
mean: [-9.438888]
std: [15.366150]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[254.046145, 266.593342, 268.020531, 287.378625, 849.499836]]
## 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.
starts_with
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.08156648278236389, "std": 2.1183736324310303, "pca": [0.1412532776594162, 0.8852856159210205, -0.16604742407798767, 0.34275558590888977, 0.22641493380069733, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [29.268583723055233, 32.738276865134345, 32.88551393139142, 42.80660821921804, 47.03662156578785]}, "1": {"mean": -0.18751390278339386, "std": 0.8554868102073669, "pca": [-0.04885416850447655, -0.1891416311264038, -0.36641445755958557, -0.24717628955841064, 0.8754901885986328, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [13.076702465347877, 13.254570453456571, 13.877898521269836, 16.87624989449978, 20.4702118075179]}, "2": {"mean": 0.4412168264389038, "std": 2.4483859539031982, "pca": [0.4481980800628662, -0.419830322265625, -0.12660682201385498, 0.7726192474365234, 0.0994546115398407, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [38.68058033766474, 38.788176005575, 39.70950996875763, 42.588808268512885, 47.51453484762017]}, "3": {"mean": 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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.706092, -0.823162, 0.142511, -0.108012, 0.439465], [-0.032481, -0.090789, -0.302412, 0.233616, -0.138052], [0.925122, 0.674368, -0.547053, -0.088108, -0.268988], [-1.415712, 0.073247, 0.524407, -0.488714, 0.089312], [1.56565, 0.333588, 0.303181, -0.100399, -0.587251]], "network.0.bias": [-0.068346, 0.319337, -0.275469, 0.224368, -0.261607], "network.2.weight": [[-0.346263, 0.199483, 1.372989, 0.262528, 0.9406], [0.368747, -0.535735, 0.934861, -0.602175, 0.882274], [0.366379, -1.186422, 0.390727, -0.436308, -0.013891], [-0.490236, -0.014076, 0.352358, -0.146296, -0.778987], [0.25235, 0.684344, -1.227146, 0.792544, -0.431287]], "network.2.bias": [-0.186979, 0.258882, -0.25706, -0.829739, -0.281015], "network.4.weight": [[1.005908, 0.996575, 0.457401, 0.505609, 0.003756], [-0.11516, -0.633755, -0.961035, -0.212098, 0.64543], [-0.300613, -0.664729, -0.353799, 0.034763, 0.471313], [-0.043048, -0.643583, -0.407325, -0.581087, 0.458564], [-0.776398, -0.159129, 0.647296, -0.029459, 0.330333]], "network.4.bias": [0.25188, 0.340381, 0.439179, 0.267943, -0.432739], "network.6.weight": [[-0.169239, 0.128055, 0.451191, 0.629719, 0.31631], [0.787846, -0.72261, 0.039272, -0.373908, 0.03389], [-0.267106, 0.520317, 0.263238, 0.47475, -0.145852], [0.840451, -0.252611, -0.385818, -0.492239, 0.131062], [0.472917, -0.289503, -0.600914, -0.45088, 0.393752]], "network.6.bias": [-0.312603, 0.2456, 0.257512, 0.268424, 0.387962], "network.8.weight": [[0.466597, -0.586491, 0.543795, -0.866264, -0.450692]], "network.8.bias": [0.191144]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6873745322227478, "train_acc": 0.495, "val_loss": 0.7242549657821655, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6596913933753967, "train_acc": 0.58, "val_loss": 0.6475234031677246, "val_acc": 0.6}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5490024983882904, "train_acc": 0.715, "val_loss": 0.5160245299339294, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.537934273481369, "train_acc": 0.71, "val_loss": 0.5506144165992737, "val_acc": 0.68}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.47485294938087463, "train_acc": 0.74, "val_loss": 0.45057594776153564, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.4488179683685303, "train_acc": 0.73, "val_loss": 0.4460197389125824, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.4114464819431305, "train_acc": 0.785, "val_loss": 0.4333418905735016, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3952237516641617, "train_acc": 0.805, "val_loss": 0.4515010118484497, "val_acc": 0.72}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.3923836648464203, "train_acc": 0.82, "val_loss": 0.41048455238342285, "val_acc": 0.76}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.3734488785266876, "train_acc": 0.84, "val_loss": 0.38940131664276123, "val_acc": 0.8}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.3412496745586395, "train_acc": 0.83, "val_loss": 0.3938790261745453, "val_acc": 0.76}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.362374022603035, "train_acc": 0.84, "val_loss": 0.40013766288757324, "val_acc": 0.82}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.7242549657821655, "final_val_loss": 0.6475234031677246, "initial_val_acc": 0.42, "final_val_acc": 0.6, "best_val_acc": 0.6}, "improved_stage": {"initial_val_loss": 0.5160245299339294, "final_val_loss": 0.40013766288757324, "initial_val_acc": 0.72, "final_val_acc": 0.82, "best_val_acc": 0.82, "best_epoch": 11}, "improvement": 0.21999999999999997, "first_improvement_epoch": 1}}
|
9,441
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.62, "improved_accuracy": 0.82, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7895, "learning_rate": 0.08511147050104871, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "increasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["increasing_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: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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0.899719,
-0.250326,
-0.839281,
0.382691,
-0.569294,
-0.5673
],
[
-0.349962,
0.150475,
0.649875,
-0.260707,
-0.457507,
0.374141,
-0.629471,
-0.831169
],
[
-0.072265,
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0.794453,
-0.426127,
-0.517738,
0.377728,
-0.459105,
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]
],
"network.8.bias": [
-0.06854,
0.096069,
0.252438,
0.025312,
-0.027227,
0.15705,
0.186956,
-0.136896
],
"network.10.weight": [
[
0.366521,
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-0.65916,
-0.829448,
0.159184,
-0.58133,
-0.582059,
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]
],
"network.10.bias": [
-0.142234
]
}
## Activation Signature
### 0
mean: [1.536087, 1.852349, 0.382032, 0.392843, -1.610041, -1.816726, -0.682527, 2.432171]
std: [1.389902, 1.505292, 1.979363, 1.637830, 2.736377, 2.571620, 1.667713, 3.174572]
pca: [[-0.078273, -0.187198, 0.691175, 0.395055, -0.033139, 0.454797, -0.305698, 0.153785, 0.000000, 0.000000], [-0.141552, -0.238616, 0.580813, -0.577365, 0.009061, -0.244776, 0.429326, 0.089518, 0.000000, 0.000000], [0.377513, 0.088649, -0.136161, -0.064205, -0.419491, 0.455578, 0.435084, 0.504124, 0.000000, 0.000000], [0.293329, 0.181047, 0.058264, -0.229787, 0.617466, 0.523633, 0.172918, -0.373666, 0.000000, 0.000000], [-0.525280, 0.009295, -0.223878, -0.025131, 0.520265, 0.124442, 0.031465, 0.621361, 0.000000, 0.000000], [-0.083016, 0.927310, 0.305625, 0.011965, -0.052089, -0.160596, -0.021376, 0.103409, 0.000000, 0.000000], [-0.301076, 0.002428, 0.019446, 0.583599, 0.016542, -0.022110, 0.703743, -0.269006, 0.000000, 0.000000], [0.609770, -0.085944, 0.138176, 0.335104, 0.409781, -0.457969, 0.079547, 0.324688, 0.000000, 0.000000]]
fourier: [[21.931276, 23.157787, 25.744527, 25.848607, 138.247843], [20.114378, 24.638191, 26.067586, 28.237118, 166.711379], [32.577832, 33.422648, 33.743077, 34.382904, 39.163821], [24.767348, 26.707197, 27.179904, 33.451295, 35.355849], [43.424305, 47.441714, 51.070761, 55.821638, 144.903659], [37.533627, 38.226194, 49.310763, 50.106110, 163.505346], [24.357544, 26.915702, 29.851679, 30.550326, 61.427461], [47.256482, 51.394826, 54.407405, 63.092486, 218.895378]]
### 2
mean: [2.110600, -3.810438, -0.769857, -1.678194, -4.133236, 1.828090, -1.363337, -3.519881]
std: [1.756052, 2.179453, 1.656448, 1.693174, 3.613890, 1.818830, 2.362165, 4.139645]
pca: [[0.103238, 0.605400, 0.493315, 0.046005, 0.412783, 0.303168, -0.339188, -0.002795, 0.000000, 0.000000], [0.268081, -0.476444, -0.286207, -0.168458, 0.369685, 0.385116, -0.416774, 0.363537, 0.000000, 0.000000], [0.235230, 0.161850, -0.247282, -0.177515, 0.600938, -0.031773, 0.679975, -0.036177, 0.000000, 0.000000], [0.122748, -0.495805, 0.743780, 0.025493, 0.171423, -0.274651, 0.199104, 0.201965, 0.000000, 0.000000], [0.535553, -0.130950, -0.110020, 0.620741, 0.108325, -0.168468, -0.161316, -0.482154, 0.000000, 0.000000], [-0.259351, -0.133593, 0.058479, 0.573419, -0.048523, 0.655955, 0.371795, 0.108614, 0.000000, 0.000000], [0.331575, 0.313837, -0.121893, 0.324768, -0.199717, -0.249096, 0.055946, 0.752440, 0.000000, 0.000000], [0.618912, 0.031402, 0.173164, -0.343133, -0.498452, 0.403267, 0.204592, -0.123688, 0.000000, 0.000000]]
fourier: [[26.438450, 26.571992, 28.530816, 30.478265, 189.953997], [36.531119, 40.064601, 40.544968, 45.875072, 342.939393], [26.160137, 26.431468, 31.335204, 34.640755, 69.287175], [29.097370, 31.306039, 32.995451, 37.403236, 151.037433], [57.878525, 60.451016, 61.922285, 68.738158, 371.991286], [29.540241, 29.759157, 34.976984, 36.625123, 164.528116], [36.058749, 36.161871, 42.961944, 43.301682, 122.700287], [67.274204, 72.937709, 74.667506, 79.762180, 316.789327]]
### 4
mean: [-1.595819, -2.426528, -2.263098, -1.083071, 1.163758, -0.164970, 2.209343, -1.415600]
std: [1.354572, 1.071627, 1.170482, 0.941713, 1.248245, 1.311070, 1.378507, 0.911274]
pca: [[0.462746, 0.207251, -0.337909, -0.277097, 0.563956, 0.260273, 0.128182, -0.386947, 0.000000, 0.000000], [-0.039618, 0.541539, 0.666196, 0.201716, 0.405471, -0.122372, -0.199022, -0.040835, 0.000000, 0.000000], [0.283073, 0.477438, -0.353135, -0.020564, -0.058382, -0.069741, -0.184789, 0.724138, 0.000000, 0.000000], [0.298372, 0.224378, 0.306837, -0.002546, -0.336187, 0.132879, 0.793991, 0.073294, 0.000000, 0.000000], [0.438517, -0.154379, 0.143090, 0.461698, -0.214802, 0.608266, -0.364180, -0.038415, 0.000000, 0.000000], [-0.441083, 0.214547, -0.387810, 0.659374, 0.190160, 0.211116, 0.304693, -0.026010, 0.000000, 0.000000], [0.394563, -0.484134, 0.045034, 0.395055, 0.399339, -0.445536, 0.194179, 0.236978, 0.000000, 0.000000], [0.269460, 0.285028, -0.224157, 0.279447, -0.399179, -0.530757, -0.127360, -0.510437, 0.000000, 0.000000]]
fourier: [[20.389027, 21.512048, 22.181640, 23.001459, 143.623717], [19.873601, 20.786741, 21.029433, 22.688321, 218.387550], [18.710441, 19.090221, 20.330252, 20.388846, 203.678848], [14.124749, 15.146579, 16.747914, 16.936424, 97.476384], [17.600721, 18.622191, 19.158945, 27.525278, 104.738211], [18.559087, 20.344456, 20.715673, 20.779224, 30.309101], [21.930616, 23.073768, 26.131465, 29.063068, 198.840850], [14.187736, 14.611868, 15.178981, 15.898062, 127.403995]]
### 6
mean: [-1.933392, 1.969594, 2.775631, -1.483254, -1.582741, 2.430176, -1.567972, -1.523971]
std: [0.671593, 1.750244, 2.189717, 0.667241, 1.392785, 1.951331, 1.023378, 1.449887]
pca: [[-0.111739, 0.739188, 0.022282, -0.226980, 0.357699, -0.233595, -0.149398, -0.429259, 0.000000, 0.000000], [0.420573, 0.234793, 0.194270, 0.144117, -0.383939, 0.045359, 0.663177, -0.346712, 0.000000, 0.000000], [0.527706, 0.017766, 0.534083, -0.017505, 0.553756, 0.207928, -0.035222, 0.290756, 0.000000, 0.000000], [-0.146131, 0.425426, -0.029662, 0.090036, -0.237991, 0.822402, -0.188939, 0.141383, 0.000000, 0.000000], [-0.334916, 0.098491, 0.437510, 0.793221, -0.011231, -0.211458, -0.112480, 0.004922, 0.000000, 0.000000], [0.469011, 0.262181, -0.005396, -0.007374, -0.498171, -0.360287, -0.500249, 0.288055, 0.000000, 0.000000], [-0.240187, 0.360069, -0.097115, -0.085838, 0.047621, -0.219868, 0.487152, 0.712695, 0.000000, 0.000000], [-0.347815, -0.095296, 0.689030, -0.531672, -0.332849, -0.030543, -0.026817, -0.008069, 0.000000, 0.000000]]
fourier: [[11.850590, 12.153046, 13.108187, 14.433483, 174.005316], [26.605627, 26.786398, 28.307468, 40.098174, 177.263423], [33.325617, 34.741275, 37.474724, 48.545064, 249.806788], [11.209810, 11.247246, 12.675199, 12.722758, 133.492871], [21.294630, 23.486901, 24.036969, 30.598259, 142.446673], [29.842774, 30.221829, 31.394234, 44.875484, 218.715882], [16.514202, 18.589668, 18.906967, 19.961918, 141.117510], [22.897858, 22.943106, 24.331764, 33.384560, 137.157426]]
### 8
mean: [-3.837965, 4.990526, 5.898511, 4.364592, -3.553866, 4.733739, 3.371601, 4.563614]
std: [2.800281, 3.562040, 4.091341, 3.145552, 2.603688, 3.337175, 2.338216, 3.431633]
pca: [[-0.308321, 0.452254, -0.169727, 0.614782, -0.371381, 0.256421, 0.133452, -0.268617, 0.000000, 0.000000], [0.392798, 0.246453, 0.569741, -0.149757, -0.031400, 0.645533, -0.079039, -0.118292, 0.000000, 0.000000], [0.451319, 0.054735, 0.355197, 0.360471, -0.424216, -0.469019, 0.091613, 0.358999, 0.000000, 0.000000], [0.346936, 0.151375, -0.019426, 0.458418, 0.661618, -0.202985, -0.257037, -0.318101, 0.000000, 0.000000], [-0.286253, 0.560686, 0.059075, -0.023564, 0.318439, 0.025190, -0.154646, 0.688253, 0.000000, 0.000000], [0.367987, 0.243377, -0.530955, -0.214735, -0.338344, 0.014314, -0.602046, 0.013749, 0.000000, 0.000000], [0.257011, 0.519065, -0.189556, -0.382982, 0.077428, -0.233703, 0.617027, -0.201433, 0.000000, 0.000000], [0.378397, -0.256489, -0.445771, 0.257271, 0.146692, 0.448216, 0.366586, 0.411494, 0.000000, 0.000000]]
fourier: [[42.386955, 46.681381, 50.571893, 60.658445, 345.416896], [53.198900, 56.216137, 61.997684, 79.605596, 449.147309], [61.244418, 65.371684, 71.890100, 90.806505, 530.865978], [47.021923, 49.863659, 54.828118, 70.066312, 392.813273], [39.459746, 43.857380, 47.344569, 55.939620, 319.847911], [49.961729, 52.373579, 58.031756, 74.394208, 426.036460], [35.012356, 35.345486, 39.498655, 52.923975, 303.444049], [51.674648, 55.922305, 61.085919, 75.180410, 410.725292]]
### 10
mean: [-16.172482]
std: [10.845108]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[162.000126, 176.725527, 197.739205, 236.683380, 1455.523236]]
## 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.
|
increasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.42881,
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[
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[
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"network.2.weight": [
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]
],
"network.2.bias": [
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"network.6.weight": [
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"network.8.weight": [
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[
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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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-0.582059,
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]
],
"network.10.bias": [
-0.142234
]
}
## Activation Signature
### 0
mean: [1.536087, 1.852349, 0.382032, 0.392843, -1.610041, -1.816726, -0.682527, 2.432171]
std: [1.389902, 1.505292, 1.979363, 1.637830, 2.736377, 2.571620, 1.667713, 3.174572]
pca: [[-0.078273, -0.187198, 0.691175, 0.395055, -0.033139, 0.454797, -0.305698, 0.153785, 0.000000, 0.000000], [-0.141552, -0.238616, 0.580813, -0.577365, 0.009061, -0.244776, 0.429326, 0.089518, 0.000000, 0.000000], [0.377513, 0.088649, -0.136161, -0.064205, -0.419491, 0.455578, 0.435084, 0.504124, 0.000000, 0.000000], [0.293329, 0.181047, 0.058264, -0.229787, 0.617466, 0.523633, 0.172918, -0.373666, 0.000000, 0.000000], [-0.525280, 0.009295, -0.223878, -0.025131, 0.520265, 0.124442, 0.031465, 0.621361, 0.000000, 0.000000], [-0.083016, 0.927310, 0.305625, 0.011965, -0.052089, -0.160596, -0.021376, 0.103409, 0.000000, 0.000000], [-0.301076, 0.002428, 0.019446, 0.583599, 0.016542, -0.022110, 0.703743, -0.269006, 0.000000, 0.000000], [0.609770, -0.085944, 0.138176, 0.335104, 0.409781, -0.457969, 0.079547, 0.324688, 0.000000, 0.000000]]
fourier: [[21.931276, 23.157787, 25.744527, 25.848607, 138.247843], [20.114378, 24.638191, 26.067586, 28.237118, 166.711379], [32.577832, 33.422648, 33.743077, 34.382904, 39.163821], [24.767348, 26.707197, 27.179904, 33.451295, 35.355849], [43.424305, 47.441714, 51.070761, 55.821638, 144.903659], [37.533627, 38.226194, 49.310763, 50.106110, 163.505346], [24.357544, 26.915702, 29.851679, 30.550326, 61.427461], [47.256482, 51.394826, 54.407405, 63.092486, 218.895378]]
### 2
mean: [2.110600, -3.810438, -0.769857, -1.678194, -4.133236, 1.828090, -1.363337, -3.519881]
std: [1.756052, 2.179453, 1.656448, 1.693174, 3.613890, 1.818830, 2.362165, 4.139645]
pca: [[0.103238, 0.605400, 0.493315, 0.046005, 0.412783, 0.303168, -0.339188, -0.002795, 0.000000, 0.000000], [0.268081, -0.476444, -0.286207, -0.168458, 0.369685, 0.385116, -0.416774, 0.363537, 0.000000, 0.000000], [0.235230, 0.161850, -0.247282, -0.177515, 0.600938, -0.031773, 0.679975, -0.036177, 0.000000, 0.000000], [0.122748, -0.495805, 0.743780, 0.025493, 0.171423, -0.274651, 0.199104, 0.201965, 0.000000, 0.000000], [0.535553, -0.130950, -0.110020, 0.620741, 0.108325, -0.168468, -0.161316, -0.482154, 0.000000, 0.000000], [-0.259351, -0.133593, 0.058479, 0.573419, -0.048523, 0.655955, 0.371795, 0.108614, 0.000000, 0.000000], [0.331575, 0.313837, -0.121893, 0.324768, -0.199717, -0.249096, 0.055946, 0.752440, 0.000000, 0.000000], [0.618912, 0.031402, 0.173164, -0.343133, -0.498452, 0.403267, 0.204592, -0.123688, 0.000000, 0.000000]]
fourier: [[26.438450, 26.571992, 28.530816, 30.478265, 189.953997], [36.531119, 40.064601, 40.544968, 45.875072, 342.939393], [26.160137, 26.431468, 31.335204, 34.640755, 69.287175], [29.097370, 31.306039, 32.995451, 37.403236, 151.037433], [57.878525, 60.451016, 61.922285, 68.738158, 371.991286], [29.540241, 29.759157, 34.976984, 36.625123, 164.528116], [36.058749, 36.161871, 42.961944, 43.301682, 122.700287], [67.274204, 72.937709, 74.667506, 79.762180, 316.789327]]
### 4
mean: [-1.595819, -2.426528, -2.263098, -1.083071, 1.163758, -0.164970, 2.209343, -1.415600]
std: [1.354572, 1.071627, 1.170482, 0.941713, 1.248245, 1.311070, 1.378507, 0.911274]
pca: [[0.462746, 0.207251, -0.337909, -0.277097, 0.563956, 0.260273, 0.128182, -0.386947, 0.000000, 0.000000], [-0.039618, 0.541539, 0.666196, 0.201716, 0.405471, -0.122372, -0.199022, -0.040835, 0.000000, 0.000000], [0.283073, 0.477438, -0.353135, -0.020564, -0.058382, -0.069741, -0.184789, 0.724138, 0.000000, 0.000000], [0.298372, 0.224378, 0.306837, -0.002546, -0.336187, 0.132879, 0.793991, 0.073294, 0.000000, 0.000000], [0.438517, -0.154379, 0.143090, 0.461698, -0.214802, 0.608266, -0.364180, -0.038415, 0.000000, 0.000000], [-0.441083, 0.214547, -0.387810, 0.659374, 0.190160, 0.211116, 0.304693, -0.026010, 0.000000, 0.000000], [0.394563, -0.484134, 0.045034, 0.395055, 0.399339, -0.445536, 0.194179, 0.236978, 0.000000, 0.000000], [0.269460, 0.285028, -0.224157, 0.279447, -0.399179, -0.530757, -0.127360, -0.510437, 0.000000, 0.000000]]
fourier: [[20.389027, 21.512048, 22.181640, 23.001459, 143.623717], [19.873601, 20.786741, 21.029433, 22.688321, 218.387550], [18.710441, 19.090221, 20.330252, 20.388846, 203.678848], [14.124749, 15.146579, 16.747914, 16.936424, 97.476384], [17.600721, 18.622191, 19.158945, 27.525278, 104.738211], [18.559087, 20.344456, 20.715673, 20.779224, 30.309101], [21.930616, 23.073768, 26.131465, 29.063068, 198.840850], [14.187736, 14.611868, 15.178981, 15.898062, 127.403995]]
### 6
mean: [-1.933392, 1.969594, 2.775631, -1.483254, -1.582741, 2.430176, -1.567972, -1.523971]
std: [0.671593, 1.750244, 2.189717, 0.667241, 1.392785, 1.951331, 1.023378, 1.449887]
pca: [[-0.111739, 0.739188, 0.022282, -0.226980, 0.357699, -0.233595, -0.149398, -0.429259, 0.000000, 0.000000], [0.420573, 0.234793, 0.194270, 0.144117, -0.383939, 0.045359, 0.663177, -0.346712, 0.000000, 0.000000], [0.527706, 0.017766, 0.534083, -0.017505, 0.553756, 0.207928, -0.035222, 0.290756, 0.000000, 0.000000], [-0.146131, 0.425426, -0.029662, 0.090036, -0.237991, 0.822402, -0.188939, 0.141383, 0.000000, 0.000000], [-0.334916, 0.098491, 0.437510, 0.793221, -0.011231, -0.211458, -0.112480, 0.004922, 0.000000, 0.000000], [0.469011, 0.262181, -0.005396, -0.007374, -0.498171, -0.360287, -0.500249, 0.288055, 0.000000, 0.000000], [-0.240187, 0.360069, -0.097115, -0.085838, 0.047621, -0.219868, 0.487152, 0.712695, 0.000000, 0.000000], [-0.347815, -0.095296, 0.689030, -0.531672, -0.332849, -0.030543, -0.026817, -0.008069, 0.000000, 0.000000]]
fourier: [[11.850590, 12.153046, 13.108187, 14.433483, 174.005316], [26.605627, 26.786398, 28.307468, 40.098174, 177.263423], [33.325617, 34.741275, 37.474724, 48.545064, 249.806788], [11.209810, 11.247246, 12.675199, 12.722758, 133.492871], [21.294630, 23.486901, 24.036969, 30.598259, 142.446673], [29.842774, 30.221829, 31.394234, 44.875484, 218.715882], [16.514202, 18.589668, 18.906967, 19.961918, 141.117510], [22.897858, 22.943106, 24.331764, 33.384560, 137.157426]]
### 8
mean: [-3.837965, 4.990526, 5.898511, 4.364592, -3.553866, 4.733739, 3.371601, 4.563614]
std: [2.800281, 3.562040, 4.091341, 3.145552, 2.603688, 3.337175, 2.338216, 3.431633]
pca: [[-0.308321, 0.452254, -0.169727, 0.614782, -0.371381, 0.256421, 0.133452, -0.268617, 0.000000, 0.000000], [0.392798, 0.246453, 0.569741, -0.149757, -0.031400, 0.645533, -0.079039, -0.118292, 0.000000, 0.000000], [0.451319, 0.054735, 0.355197, 0.360471, -0.424216, -0.469019, 0.091613, 0.358999, 0.000000, 0.000000], [0.346936, 0.151375, -0.019426, 0.458418, 0.661618, -0.202985, -0.257037, -0.318101, 0.000000, 0.000000], [-0.286253, 0.560686, 0.059075, -0.023564, 0.318439, 0.025190, -0.154646, 0.688253, 0.000000, 0.000000], [0.367987, 0.243377, -0.530955, -0.214735, -0.338344, 0.014314, -0.602046, 0.013749, 0.000000, 0.000000], [0.257011, 0.519065, -0.189556, -0.382982, 0.077428, -0.233703, 0.617027, -0.201433, 0.000000, 0.000000], [0.378397, -0.256489, -0.445771, 0.257271, 0.146692, 0.448216, 0.366586, 0.411494, 0.000000, 0.000000]]
fourier: [[42.386955, 46.681381, 50.571893, 60.658445, 345.416896], [53.198900, 56.216137, 61.997684, 79.605596, 449.147309], [61.244418, 65.371684, 71.890100, 90.806505, 530.865978], [47.021923, 49.863659, 54.828118, 70.066312, 392.813273], [39.459746, 43.857380, 47.344569, 55.939620, 319.847911], [49.961729, 52.373579, 58.031756, 74.394208, 426.036460], [35.012356, 35.345486, 39.498655, 52.923975, 303.444049], [51.674648, 55.922305, 61.085919, 75.180410, 410.725292]]
### 10
mean: [-16.172482]
std: [10.845108]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[162.000126, 176.725527, 197.739205, 236.683380, 1455.523236]]
## 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.
increasing_pairs
|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6805441975593567, "train_acc": 0.575, "val_loss": 0.65068519115448, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.5964644253253937, "train_acc": 0.635, "val_loss": 0.5956060886383057, "val_acc": 0.62}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.938417375087738, "train_acc": 0.625, "val_loss": 0.5521507859230042, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5376676023006439, "train_acc": 0.745, "val_loss": 0.5567421913146973, "val_acc": 0.58}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4957140237092972, "train_acc": 0.64, "val_loss": 0.4595803916454315, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.4356648027896881, "train_acc": 0.83, "val_loss": 0.4432418942451477, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.4039957523345947, "train_acc": 0.855, "val_loss": 1.342169165611267, "val_acc": 0.54}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.9835541248321533, "train_acc": 0.7, "val_loss": 0.5048757791519165, "val_acc": 0.76}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.4713611900806427, "train_acc": 0.785, "val_loss": 0.5089470744132996, "val_acc": 0.72}], "summary": {"total_epochs": 9, "degraded_epochs": 2, "improved_epochs": 7, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.65068519115448, "final_val_loss": 0.5956060886383057, "initial_val_acc": 0.5, "final_val_acc": 0.62, "best_val_acc": 0.62}, "improved_stage": {"initial_val_loss": 0.5521507859230042, "final_val_loss": 0.5089470744132996, "initial_val_acc": 0.8, "final_val_acc": 0.72, "best_val_acc": 0.82, "best_epoch": 5}, "improvement": 0.19999999999999996, "first_improvement_epoch": 1}}
|
9,442
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.44, "improved_accuracy": 0.84, "improvement": 0.39999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2940, "learning_rate": 0.05334329479707623, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "increasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["increasing_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: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
1.112251,
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0.034598,
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[
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-0.168268,
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[
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0.005344,
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],
"network.0.bias": [
0.413715,
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"network.2.weight": [
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-0.323093
],
[
0.226713,
0.318606,
0.282486,
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1.00628,
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],
[
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0.446756,
0.135709,
0.07015
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[
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[
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[
0.445591,
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],
"network.2.bias": [
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"network.4.weight": [
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[
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[
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[
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[
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],
"network.4.bias": [
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"network.8.weight": [
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"network.8.bias": [
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"network.10.weight": [
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[
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[
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],
"network.10.bias": [
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"network.12.weight": [
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"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [1.346257, 1.401342, -2.521287, 1.589539, 1.002735, 0.618574]
std: [2.879139, 2.157317, 1.324561, 2.265626, 1.271592, 2.024178]
pca: [[0.585971, 0.775986, 0.121400, -0.198492, 0.017399, 0.006695, 0.000000, 0.000000, 0.000000, 0.000000], [0.441644, -0.411241, -0.326842, -0.475335, 0.448100, -0.319796, 0.000000, 0.000000, 0.000000, 0.000000], [-0.094879, -0.120581, 0.652691, -0.293516, 0.487397, 0.476178, 0.000000, 0.000000, 0.000000, 0.000000], [0.539037, -0.351727, -0.136941, 0.122893, -0.359715, 0.649982, 0.000000, 0.000000, 0.000000, 0.000000], [0.126967, 0.102781, -0.220795, 0.702360, 0.644200, 0.127523, 0.000000, 0.000000, 0.000000, 0.000000], [-0.381976, 0.282687, -0.620426, -0.374291, 0.130229, 0.481873, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[46.926349, 48.719930, 51.664611, 60.145837, 121.163102], [35.469430, 35.932712, 40.266693, 46.019917, 126.120779], [21.331993, 22.115010, 22.226067, 25.273591, 226.915876], [38.482533, 41.713663, 42.903172, 43.429499, 143.058528], [20.331049, 21.631556, 22.761300, 23.441956, 90.246173], [29.168453, 31.591056, 34.569084, 35.291318, 55.671667]]
### 2
mean: [1.928461, 1.508576, 3.075424, -2.900349, 3.022292, 1.267436]
std: [2.321446, 1.537941, 2.777230, 2.604480, 3.132725, 1.378038]
pca: [[0.409025, -0.173168, -0.592493, 0.194404, 0.503661, -0.400246, 0.000000, 0.000000, 0.000000, 0.000000], [0.230936, -0.324699, 0.637384, -0.441527, 0.418151, -0.255313, 0.000000, 0.000000, 0.000000, 0.000000], [0.495023, 0.269408, 0.418290, 0.573731, -0.285743, -0.310787, 0.000000, 0.000000, 0.000000, 0.000000], [-0.458335, -0.362863, 0.239679, 0.658083, 0.385442, 0.138474, 0.000000, 0.000000, 0.000000, 0.000000], [0.569367, -0.281370, -0.005099, 0.070468, 0.018754, 0.768966, 0.000000, 0.000000, 0.000000, 0.000000], [0.008318, 0.762341, 0.101270, -0.007405, 0.583875, 0.259897, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.007828, 42.081210, 44.402773, 46.540090, 173.561490], [23.646545, 26.195907, 26.847011, 29.209613, 135.771867], [45.125331, 47.043602, 54.737050, 58.689862, 276.788205], [45.745530, 48.601788, 49.347713, 58.959971, 261.031459], [53.611482, 53.875190, 56.011713, 65.542392, 272.006267], [21.368286, 24.033497, 25.325086, 25.443643, 114.069253]]
### 4
mean: [-3.415915, -2.632601, 6.749643, 3.580551, 7.292978, 6.034179]
std: [1.948655, 3.598505, 6.708525, 3.520844, 7.016207, 5.670876]
pca: [[-0.121393, 0.876220, 0.140913, 0.397189, 0.111174, 0.165912, 0.000000, 0.000000, 0.000000, 0.000000], [-0.285715, -0.445023, 0.580068, 0.521282, 0.154810, 0.296887, 0.000000, 0.000000, 0.000000, 0.000000], [0.541416, -0.078362, -0.106293, 0.586843, -0.575182, -0.119211, 0.000000, 0.000000, 0.000000, 0.000000], [0.283895, -0.091723, -0.446617, 0.043244, 0.238955, 0.807808, 0.000000, 0.000000, 0.000000, 0.000000], [0.566024, 0.128835, 0.657853, -0.416675, -0.078043, 0.224808, 0.000000, 0.000000, 0.000000, 0.000000], [0.457734, -0.055142, -0.011317, 0.225019, 0.754752, -0.408690, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.992993, 35.618574, 35.881788, 48.316272, 307.432335], [57.275552, 60.608026, 63.798240, 78.630353, 236.934056], [117.726454, 118.368130, 125.781084, 135.252056, 607.467923], [61.184184, 62.451451, 67.722630, 71.595591, 322.249619], [122.617789, 123.051550, 125.179947, 143.379715, 656.368027], [99.342105, 99.955266, 105.934966, 114.648974, 543.076169]]
### 6
mean: [-3.423916, -0.683159, 9.140913, 14.387283, 9.882946, -0.157658]
std: [2.781252, 0.197454, 8.760121, 13.847314, 9.669309, 0.514696]
pca: [[-0.143901, -0.583163, -0.225070, -0.272599, 0.644701, 0.314018, 0.000000, 0.000000, 0.000000, 0.000000], [-0.005275, 0.001344, 0.943208, -0.092863, 0.314831, -0.050869, 0.000000, 0.000000, 0.000000, 0.000000], [0.455539, -0.181758, -0.023099, 0.812669, 0.306234, -0.068589, 0.000000, 0.000000, 0.000000, 0.000000], [0.720104, -0.171070, 0.111712, -0.274867, -0.320329, 0.511413, 0.000000, 0.000000, 0.000000, 0.000000], [0.502796, 0.271427, -0.197090, -0.418586, 0.384015, -0.558568, 0.000000, 0.000000, 0.000000, 0.000000], [-0.019890, 0.723840, -0.088572, 0.076618, 0.376012, 0.566179, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[48.859742, 49.307209, 53.652135, 54.428528, 308.152463], [3.049711, 3.093167, 3.778101, 3.916655, 61.484295], [152.746561, 153.780275, 159.340449, 181.784334, 822.682067], [241.625057, 243.246564, 252.710832, 286.711663, 1294.855397], [169.227851, 170.177494, 177.950342, 197.481921, 889.465137], [6.742908, 7.396226, 10.231484, 12.488784, 14.189226]]
### 8
mean: [19.781538, 17.073128, -3.203105, 23.076975, 12.176732, -6.944385]
std: [19.073320, 16.412918, 2.648167, 22.165529, 11.947354, 6.411204]
pca: [[0.525905, -0.326279, 0.189312, 0.107387, 0.222397, 0.721203, 0.000000, 0.000000, 0.000000, 0.000000], [0.452549, 0.636066, 0.564866, 0.167310, -0.027906, -0.206820, 0.000000, 0.000000, 0.000000, 0.000000], [-0.073011, 0.499078, -0.488302, 0.266278, 0.638022, 0.170809, 0.000000, 0.000000, 0.000000, 0.000000], [0.611166, -0.068114, -0.361425, -0.578264, 0.182088, -0.351657, 0.000000, 0.000000, 0.000000, 0.000000], [0.329422, -0.314207, -0.276021, 0.744644, -0.137224, -0.378474, 0.000000, 0.000000, 0.000000, 0.000000], [-0.176774, -0.369483, 0.447027, 0.026229, 0.700501, -0.375514, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[334.047495, 335.671115, 350.653078, 392.903447, 1780.338560], [287.734831, 288.868011, 302.722672, 337.562850, 1536.581543], [46.270901, 46.547555, 48.259709, 54.941986, 288.279387], [388.292534, 390.111277, 407.826441, 456.371311, 2076.927917], [209.216677, 210.264945, 219.565950, 246.163138, 1095.905888], [112.416962, 112.863799, 118.359687, 131.707214, 624.994596]]
### 10
mean: [35.432487, -21.470133, -4.209571, -4.821382, -16.774839, -20.120029]
std: [33.907204, 20.439325, 3.823655, 4.473809, 16.106483, 19.150820]
pca: [[0.718303, 0.246187, 0.234012, -0.057154, 0.300645, 0.524420, 0.000000, 0.000000, 0.000000, 0.000000], [-0.432994, 0.502456, -0.496945, -0.080532, 0.030122, 0.552907, 0.000000, 0.000000, 0.000000, 0.000000], [-0.081002, -0.452967, -0.265719, -0.508707, 0.677398, -0.001622, 0.000000, 0.000000, 0.000000, 0.000000], [-0.094775, -0.183599, -0.109602, 0.850518, 0.461842, 0.092835, 0.000000, 0.000000, 0.000000, 0.000000], [-0.341206, -0.495676, 0.467670, -0.035246, -0.213810, 0.610091, 0.000000, 0.000000, 0.000000, 0.000000], [-0.405698, 0.449831, 0.630039, -0.082720, 0.436835, -0.196074, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[594.751580, 596.937515, 626.488180, 696.328405, 3188.923782], [358.493566, 359.820399, 377.549482, 419.821549, 1932.311936], [67.095128, 67.335190, 70.767691, 78.428680, 378.861373], [78.475860, 78.766242, 82.710141, 91.860615, 433.924370], [282.543229, 283.576940, 297.629524, 330.649855, 1509.735539], [335.867898, 337.116522, 353.597083, 393.447756, 1810.802684]]
### 12
mean: [-3.967200]
std: [4.160939]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[72.985237, 73.253484, 76.879811, 85.450291, 357.047990]]
## 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.
|
increasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.613441,
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[
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[
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[
1.112251,
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0.034598,
0.084101,
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[
-0.064659,
0.643908,
0.239087,
-0.168268,
-0.100745
],
[
-0.698599,
0.018412,
0.005344,
0.308034,
0.779042
]
],
"network.0.bias": [
0.413715,
0.484631,
-0.429027,
0.423222,
-0.104477,
-0.178152
],
"network.2.weight": [
[
0.095453,
0.524335,
-0.222587,
0.421557,
0.230938,
-0.323093
],
[
0.226713,
0.318606,
0.282486,
-0.223872,
1.00628,
-0.295352
],
[
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0.122015,
0.270177,
0.446756,
0.135709,
0.07015
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[
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[
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],
[
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]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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[
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[
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[
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0.553828,
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[
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0.220291,
0.803258,
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],
[
0.539195,
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0.631078,
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]
],
"network.4.bias": [
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"network.6.weight": [
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[
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0.256177
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"network.6.bias": [
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0.180997,
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"network.8.weight": [
[
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[
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0.880792,
0.063219,
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[
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[
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[
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],
[
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],
"network.8.bias": [
0.072687,
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-0.511075,
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-0.237801
],
"network.10.weight": [
[
0.416506,
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0.151169,
0.314507,
0.356019,
0.377202
],
[
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-0.526793,
-0.052755,
-0.370917,
-0.099193,
0.036992
],
[
0.130924,
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0.068685,
-0.081823,
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0.237932
],
[
0.292571,
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[
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[
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],
"network.10.bias": [
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],
"network.12.weight": [
[
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0.111563,
-0.203699,
0.016844
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],
"network.12.bias": [
0.380915
]
}
## Activation Signature
### 0
mean: [1.346257, 1.401342, -2.521287, 1.589539, 1.002735, 0.618574]
std: [2.879139, 2.157317, 1.324561, 2.265626, 1.271592, 2.024178]
pca: [[0.585971, 0.775986, 0.121400, -0.198492, 0.017399, 0.006695, 0.000000, 0.000000, 0.000000, 0.000000], [0.441644, -0.411241, -0.326842, -0.475335, 0.448100, -0.319796, 0.000000, 0.000000, 0.000000, 0.000000], [-0.094879, -0.120581, 0.652691, -0.293516, 0.487397, 0.476178, 0.000000, 0.000000, 0.000000, 0.000000], [0.539037, -0.351727, -0.136941, 0.122893, -0.359715, 0.649982, 0.000000, 0.000000, 0.000000, 0.000000], [0.126967, 0.102781, -0.220795, 0.702360, 0.644200, 0.127523, 0.000000, 0.000000, 0.000000, 0.000000], [-0.381976, 0.282687, -0.620426, -0.374291, 0.130229, 0.481873, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[46.926349, 48.719930, 51.664611, 60.145837, 121.163102], [35.469430, 35.932712, 40.266693, 46.019917, 126.120779], [21.331993, 22.115010, 22.226067, 25.273591, 226.915876], [38.482533, 41.713663, 42.903172, 43.429499, 143.058528], [20.331049, 21.631556, 22.761300, 23.441956, 90.246173], [29.168453, 31.591056, 34.569084, 35.291318, 55.671667]]
### 2
mean: [1.928461, 1.508576, 3.075424, -2.900349, 3.022292, 1.267436]
std: [2.321446, 1.537941, 2.777230, 2.604480, 3.132725, 1.378038]
pca: [[0.409025, -0.173168, -0.592493, 0.194404, 0.503661, -0.400246, 0.000000, 0.000000, 0.000000, 0.000000], [0.230936, -0.324699, 0.637384, -0.441527, 0.418151, -0.255313, 0.000000, 0.000000, 0.000000, 0.000000], [0.495023, 0.269408, 0.418290, 0.573731, -0.285743, -0.310787, 0.000000, 0.000000, 0.000000, 0.000000], [-0.458335, -0.362863, 0.239679, 0.658083, 0.385442, 0.138474, 0.000000, 0.000000, 0.000000, 0.000000], [0.569367, -0.281370, -0.005099, 0.070468, 0.018754, 0.768966, 0.000000, 0.000000, 0.000000, 0.000000], [0.008318, 0.762341, 0.101270, -0.007405, 0.583875, 0.259897, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.007828, 42.081210, 44.402773, 46.540090, 173.561490], [23.646545, 26.195907, 26.847011, 29.209613, 135.771867], [45.125331, 47.043602, 54.737050, 58.689862, 276.788205], [45.745530, 48.601788, 49.347713, 58.959971, 261.031459], [53.611482, 53.875190, 56.011713, 65.542392, 272.006267], [21.368286, 24.033497, 25.325086, 25.443643, 114.069253]]
### 4
mean: [-3.415915, -2.632601, 6.749643, 3.580551, 7.292978, 6.034179]
std: [1.948655, 3.598505, 6.708525, 3.520844, 7.016207, 5.670876]
pca: [[-0.121393, 0.876220, 0.140913, 0.397189, 0.111174, 0.165912, 0.000000, 0.000000, 0.000000, 0.000000], [-0.285715, -0.445023, 0.580068, 0.521282, 0.154810, 0.296887, 0.000000, 0.000000, 0.000000, 0.000000], [0.541416, -0.078362, -0.106293, 0.586843, -0.575182, -0.119211, 0.000000, 0.000000, 0.000000, 0.000000], [0.283895, -0.091723, -0.446617, 0.043244, 0.238955, 0.807808, 0.000000, 0.000000, 0.000000, 0.000000], [0.566024, 0.128835, 0.657853, -0.416675, -0.078043, 0.224808, 0.000000, 0.000000, 0.000000, 0.000000], [0.457734, -0.055142, -0.011317, 0.225019, 0.754752, -0.408690, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.992993, 35.618574, 35.881788, 48.316272, 307.432335], [57.275552, 60.608026, 63.798240, 78.630353, 236.934056], [117.726454, 118.368130, 125.781084, 135.252056, 607.467923], [61.184184, 62.451451, 67.722630, 71.595591, 322.249619], [122.617789, 123.051550, 125.179947, 143.379715, 656.368027], [99.342105, 99.955266, 105.934966, 114.648974, 543.076169]]
### 6
mean: [-3.423916, -0.683159, 9.140913, 14.387283, 9.882946, -0.157658]
std: [2.781252, 0.197454, 8.760121, 13.847314, 9.669309, 0.514696]
pca: [[-0.143901, -0.583163, -0.225070, -0.272599, 0.644701, 0.314018, 0.000000, 0.000000, 0.000000, 0.000000], [-0.005275, 0.001344, 0.943208, -0.092863, 0.314831, -0.050869, 0.000000, 0.000000, 0.000000, 0.000000], [0.455539, -0.181758, -0.023099, 0.812669, 0.306234, -0.068589, 0.000000, 0.000000, 0.000000, 0.000000], [0.720104, -0.171070, 0.111712, -0.274867, -0.320329, 0.511413, 0.000000, 0.000000, 0.000000, 0.000000], [0.502796, 0.271427, -0.197090, -0.418586, 0.384015, -0.558568, 0.000000, 0.000000, 0.000000, 0.000000], [-0.019890, 0.723840, -0.088572, 0.076618, 0.376012, 0.566179, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[48.859742, 49.307209, 53.652135, 54.428528, 308.152463], [3.049711, 3.093167, 3.778101, 3.916655, 61.484295], [152.746561, 153.780275, 159.340449, 181.784334, 822.682067], [241.625057, 243.246564, 252.710832, 286.711663, 1294.855397], [169.227851, 170.177494, 177.950342, 197.481921, 889.465137], [6.742908, 7.396226, 10.231484, 12.488784, 14.189226]]
### 8
mean: [19.781538, 17.073128, -3.203105, 23.076975, 12.176732, -6.944385]
std: [19.073320, 16.412918, 2.648167, 22.165529, 11.947354, 6.411204]
pca: [[0.525905, -0.326279, 0.189312, 0.107387, 0.222397, 0.721203, 0.000000, 0.000000, 0.000000, 0.000000], [0.452549, 0.636066, 0.564866, 0.167310, -0.027906, -0.206820, 0.000000, 0.000000, 0.000000, 0.000000], [-0.073011, 0.499078, -0.488302, 0.266278, 0.638022, 0.170809, 0.000000, 0.000000, 0.000000, 0.000000], [0.611166, -0.068114, -0.361425, -0.578264, 0.182088, -0.351657, 0.000000, 0.000000, 0.000000, 0.000000], [0.329422, -0.314207, -0.276021, 0.744644, -0.137224, -0.378474, 0.000000, 0.000000, 0.000000, 0.000000], [-0.176774, -0.369483, 0.447027, 0.026229, 0.700501, -0.375514, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[334.047495, 335.671115, 350.653078, 392.903447, 1780.338560], [287.734831, 288.868011, 302.722672, 337.562850, 1536.581543], [46.270901, 46.547555, 48.259709, 54.941986, 288.279387], [388.292534, 390.111277, 407.826441, 456.371311, 2076.927917], [209.216677, 210.264945, 219.565950, 246.163138, 1095.905888], [112.416962, 112.863799, 118.359687, 131.707214, 624.994596]]
### 10
mean: [35.432487, -21.470133, -4.209571, -4.821382, -16.774839, -20.120029]
std: [33.907204, 20.439325, 3.823655, 4.473809, 16.106483, 19.150820]
pca: [[0.718303, 0.246187, 0.234012, -0.057154, 0.300645, 0.524420, 0.000000, 0.000000, 0.000000, 0.000000], [-0.432994, 0.502456, -0.496945, -0.080532, 0.030122, 0.552907, 0.000000, 0.000000, 0.000000, 0.000000], [-0.081002, -0.452967, -0.265719, -0.508707, 0.677398, -0.001622, 0.000000, 0.000000, 0.000000, 0.000000], [-0.094775, -0.183599, -0.109602, 0.850518, 0.461842, 0.092835, 0.000000, 0.000000, 0.000000, 0.000000], [-0.341206, -0.495676, 0.467670, -0.035246, -0.213810, 0.610091, 0.000000, 0.000000, 0.000000, 0.000000], [-0.405698, 0.449831, 0.630039, -0.082720, 0.436835, -0.196074, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[594.751580, 596.937515, 626.488180, 696.328405, 3188.923782], [358.493566, 359.820399, 377.549482, 419.821549, 1932.311936], [67.095128, 67.335190, 70.767691, 78.428680, 378.861373], [78.475860, 78.766242, 82.710141, 91.860615, 433.924370], [282.543229, 283.576940, 297.629524, 330.649855, 1509.735539], [335.867898, 337.116522, 353.597083, 393.447756, 1810.802684]]
### 12
mean: [-3.967200]
std: [4.160939]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[72.985237, 73.253484, 76.879811, 85.450291, 357.047990]]
## 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.
increasing_pairs
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.613441, -0.090153, 0.770335, -0.768554, 0.301949], [1.141248, -0.136447, -0.338275, 0.177758, 0.057206], [-0.036127, -0.305472, -0.354678, -0.25127, -0.171039], [1.112251, 0.017606, 0.034598, 0.084101, -0.407449], [-0.064659, 0.643908, 0.239087, -0.168268, -0.100745], [-0.698599, 0.018412, 0.005344, 0.308034, 0.779042]], "network.0.bias": [0.413715, 0.484631, -0.429027, 0.423222, -0.104477, -0.178152], "network.2.weight": [[0.095453, 0.524335, -0.222587, 0.421557, 0.230938, -0.323093], [0.226713, 0.318606, 0.282486, -0.223872, 1.00628, -0.295352], [0.826692, 0.122015, 0.270177, 0.446756, 0.135709, 0.07015], [-0.462927, -0.367518, 0.350016, -0.584891, -0.109775, -0.43169], [0.391838, 0.468259, -0.159176, 0.465025, 0.744748, -0.395852], [0.445591, 0.076669, 0.090745, -0.100677, -0.638589, 0.697412]], "network.2.bias": [0.293839, 0.185454, 0.336718, 0.134528, 0.357511, 0.442728], "network.4.weight": [[-0.229901, 0.169235, -0.361343, -0.202182, -0.093773, -0.772554], [-0.229327, -0.372201, -0.684218, -0.141316, -0.241342, 0.734831], [0.809637, 0.751178, 0.824491, 0.122138, 0.601003, -0.061727], [0.354848, 0.221558, 0.553828, 0.176845, 0.328589, -0.089003], [0.508239, 0.955006, 0.850741, 0.220291, 0.803258, -0.223361], [0.539195, 0.581383, 0.698175, -0.138582, 0.631078, -0.067016]], "network.4.bias": [-0.780545, 0.265521, -0.348162, -0.070771, -0.010759, 0.044361], "network.6.weight": [[0.258132, -0.246669, -0.26693, -0.172189, 0.136006, -0.243957], [0.124658, -0.147489, 0.365321, 0.232861, -0.401177, -0.104855], [0.02895, -0.447592, 0.060596, 0.323115, 0.469188, 0.6751], [-0.009885, -0.661127, 0.511718, 0.4968, 0.667186, 0.677864], [0.25827, -0.169109, 0.371349, 0.141521, 0.412585, 0.66198], [0.105681, 0.50444, 0.039494, -0.09672, -0.234275, 0.256177]], "network.6.bias": [-0.468574, -0.386369, 0.180997, 0.348515, -0.097274, -0.031917], "network.8.weight": [[0.444861, -0.096133, 0.372387, 0.611059, 0.76045, -0.447448], [-0.027616, -0.343483, 0.41833, 0.880792, 0.063219, -0.054186], [0.313929, 0.003518, -0.272494, 0.138932, -0.224296, 0.177039], [-0.187062, 0.27385, 0.388146, 0.845963, 0.731311, -0.418651], [0.284616, 0.389166, 0.140213, 0.402196, 0.53215, -0.316978], [0.080021, 0.040316, -0.034655, -0.419767, -0.033116, -0.001092]], "network.8.bias": [0.072687, -0.101874, -0.511075, 0.116624, -0.143177, -0.237801], "network.10.weight": [[0.416506, 0.900313, 0.151169, 0.314507, 0.356019, 0.377202], [-0.126194, -0.526793, -0.052755, -0.370917, -0.099193, 0.036992], [0.130924, -0.080977, 0.068685, -0.081823, -0.266581, 0.237932], [0.292571, -0.235725, 0.399739, -0.188688, -0.167904, 0.137919], [-0.165204, 0.058445, -0.475694, -0.429802, -0.369455, 0.098728], [-0.477267, -0.371981, 0.078422, -0.277007, 0.182374, -0.154469]], "network.10.bias": [0.192656, -0.192865, -0.276094, -0.182374, -0.06265, -0.138575], "network.12.weight": [[-0.122716, -0.02686, -0.105783, 0.111563, -0.203699, 0.016844]], "network.12.bias": [0.380915]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7124317288398743, "train_acc": 0.42, "val_loss": 0.6931764483451843, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6829770505428314, "train_acc": 0.58, "val_loss": 0.7121883630752563, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6573940515518188, "train_acc": 0.58, "val_loss": 0.7326818704605103, "val_acc": 0.44}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6275781393051147, "train_acc": 0.58, "val_loss": 0.6838856339454651, "val_acc": 0.44}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.5626710653305054, "train_acc": 0.58, "val_loss": 0.6454353332519531, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.5178474187850952, "train_acc": 0.515, "val_loss": 0.5985696315765381, "val_acc": 0.44}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.596566379070282, "train_acc": 0.515, "val_loss": 0.5385341644287109, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.4204469919204712, "train_acc": 0.88, "val_loss": 0.5080847144126892, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.3970133662223816, "train_acc": 0.885, "val_loss": 0.4636358320713043, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.4090362936258316, "train_acc": 0.8, "val_loss": 0.45784422755241394, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.3856974393129349, "train_acc": 0.865, "val_loss": 0.4430848956108093, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.36358314752578735, "train_acc": 0.865, "val_loss": 0.44247108697891235, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.3435804694890976, "train_acc": 0.86, "val_loss": 0.4358059763908386, "val_acc": 0.8}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.3328571915626526, "train_acc": 0.87, "val_loss": 0.4326891601085663, "val_acc": 0.8}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.3425734043121338, "train_acc": 0.87, "val_loss": 0.41529205441474915, "val_acc": 0.82}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6931764483451843, "final_val_loss": 0.6454353332519531, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.5985696315765381, "final_val_loss": 0.41529205441474915, "initial_val_acc": 0.44, "final_val_acc": 0.82, "best_val_acc": 0.84, "best_epoch": 8}, "improvement": 0.39999999999999997, "first_improvement_epoch": 4}}
|
9,443
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.6, "improved_accuracy": 0.82, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9373, "learning_rate": 0.07352610406337226, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "starts_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["starts_with"], "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: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
mean: [-4.237320, -1.491002, -0.602378, -0.074394, 0.427028]
std: [2.546669, 2.686313, 3.027510, 1.831556, 2.262893]
pca: [[0.161770, 0.957537, -0.142427, -0.077345, 0.175175, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.488730, 0.028295, 0.830939, -0.260427, -0.045387, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.652668, -0.019291, -0.312615, 0.330786, -0.605397, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.287013, 0.192344, 0.420047, 0.835726, -0.075820, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.476048, -0.212024, -0.122827, 0.344002, 0.771363, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[37.991341, 41.084104, 49.637224, 51.675080, 381.358798], [43.244953, 44.447662, 46.628107, 49.310670, 134.190151], [49.224235, 54.214017, 55.136645, 55.195817, 60.920302], [25.712830, 26.876971, 28.982179, 30.344628, 32.414124], [38.672253, 38.758158, 40.350016, 41.123469, 42.494703]]
### 2
mean: [-0.741430, 0.849298, 1.510653, 0.270819, 1.073880]
std: [0.795118, 1.849392, 2.271185, 1.660709, 1.840529]
pca: [[-0.191799, -0.099211, 0.678772, -0.612741, -0.342326, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.454492, 0.715434, -0.321242, -0.401936, 0.129774, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.588570, 0.498851, -0.037169, 0.047639, -0.633310, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.427034, 0.343683, 0.485026, 0.673399, -0.103962, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.477365, 0.333678, 0.446587, -0.085208, 0.673856, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.784529, 12.210453, 15.446971, 17.827802, 66.728670], [28.156185, 29.759554, 30.890682, 31.391449, 76.436784], [32.869581, 33.408074, 44.569070, 46.414803, 135.958820], [24.269662, 24.373700, 27.549702, 28.630946, 32.081588], [27.862119, 32.068280, 33.586342, 36.368401, 96.649201]]
### 4
mean: [0.963703, 1.272800, 1.889837, -1.654108, -1.563696]
std: [2.891080, 2.503531, 3.646751, 0.737317, 0.768933]
pca: [[-0.535208, 0.553430, -0.093621, 0.337774, 0.533303, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.477964, 0.182977, 0.630741, -0.220351, 0.540075, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.693099, 0.369463, -0.507838, 0.353852, -0.001099, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.059290, -0.483168, 0.297493, 0.815603, 0.096558, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.034678, -0.538777, -0.496991, -0.216645, 0.643880, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[46.022210, 51.666693, 51.951718, 54.093272, 86.733275], [37.525691, 38.578491, 41.245016, 50.554255, 114.552011], [55.615549, 56.055844, 60.097078, 71.071034, 170.085307], [11.396084, 12.570380, 14.752585, 14.813937, 148.869698], [12.537933, 12.634459, 14.235020, 15.456696, 140.732620]]
### 6
mean: [-0.487868, 2.541029, 2.461583, 0.655552, -0.982391]
std: [0.326581, 4.415545, 4.815063, 1.946278, 1.555776]
pca: [[-0.031054, -0.295217, 0.239917, 0.899876, 0.211059, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.634588, 0.250862, 0.707132, -0.117863, 0.142963, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.692752, 0.049002, -0.660201, 0.160455, 0.236816, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.258114, 0.909122, -0.078615, 0.271951, 0.163515, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.223170, -0.144956, 0.018925, -0.276819, 0.923145, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.254502, 5.320771, 5.576974, 7.083138, 43.908147], [66.973229, 69.464144, 75.572304, 88.930852, 228.692605], [71.980675, 76.367156, 82.770556, 96.486334, 221.542459], [32.008755, 32.592506, 35.934752, 35.982389, 58.999654], [23.816833, 24.340676, 26.525152, 31.538407, 88.415165]]
### 8
mean: [-2.665293, -1.547107, 7.205526, -2.383410, -1.251115]
std: [4.530679, 1.049587, 8.884771, 2.126312, 0.939856]
pca: [[-0.439522, -0.575484, -0.194116, 0.634003, 0.189729, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.099460, 0.374564, 0.737322, 0.536869, -0.133930, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.864718, -0.064145, -0.159948, 0.455373, 0.123286, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.203114, 0.641160, -0.626870, 0.318356, -0.230957, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.089082, 0.336628, 0.011228, -0.033093, 0.936763, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[69.203267, 71.972411, 78.596826, 92.896389, 239.876413], [16.557721, 16.961944, 17.335323, 21.746066, 139.239581], [137.941873, 138.813908, 151.721417, 183.640362, 648.497352], [33.541626, 33.622732, 34.934336, 44.280903, 214.506901], [14.828429, 15.342675, 15.529626, 19.389189, 112.600374]]
### 10
mean: [-7.940984]
std: [8.793427]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[137.452714, 139.622616, 147.006137, 181.690151, 714.688473]]
## 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.
|
starts_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.526851
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[
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0.060307,
0.813387
],
[
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],
[
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],
"network.0.bias": [
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0.264965,
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[
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0.647424,
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"network.10.bias": [
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}
## Activation Signature
### 0
mean: [-4.237320, -1.491002, -0.602378, -0.074394, 0.427028]
std: [2.546669, 2.686313, 3.027510, 1.831556, 2.262893]
pca: [[0.161770, 0.957537, -0.142427, -0.077345, 0.175175, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.488730, 0.028295, 0.830939, -0.260427, -0.045387, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.652668, -0.019291, -0.312615, 0.330786, -0.605397, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.287013, 0.192344, 0.420047, 0.835726, -0.075820, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.476048, -0.212024, -0.122827, 0.344002, 0.771363, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[37.991341, 41.084104, 49.637224, 51.675080, 381.358798], [43.244953, 44.447662, 46.628107, 49.310670, 134.190151], [49.224235, 54.214017, 55.136645, 55.195817, 60.920302], [25.712830, 26.876971, 28.982179, 30.344628, 32.414124], [38.672253, 38.758158, 40.350016, 41.123469, 42.494703]]
### 2
mean: [-0.741430, 0.849298, 1.510653, 0.270819, 1.073880]
std: [0.795118, 1.849392, 2.271185, 1.660709, 1.840529]
pca: [[-0.191799, -0.099211, 0.678772, -0.612741, -0.342326, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.454492, 0.715434, -0.321242, -0.401936, 0.129774, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.588570, 0.498851, -0.037169, 0.047639, -0.633310, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.427034, 0.343683, 0.485026, 0.673399, -0.103962, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.477365, 0.333678, 0.446587, -0.085208, 0.673856, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.784529, 12.210453, 15.446971, 17.827802, 66.728670], [28.156185, 29.759554, 30.890682, 31.391449, 76.436784], [32.869581, 33.408074, 44.569070, 46.414803, 135.958820], [24.269662, 24.373700, 27.549702, 28.630946, 32.081588], [27.862119, 32.068280, 33.586342, 36.368401, 96.649201]]
### 4
mean: [0.963703, 1.272800, 1.889837, -1.654108, -1.563696]
std: [2.891080, 2.503531, 3.646751, 0.737317, 0.768933]
pca: [[-0.535208, 0.553430, -0.093621, 0.337774, 0.533303, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.477964, 0.182977, 0.630741, -0.220351, 0.540075, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.693099, 0.369463, -0.507838, 0.353852, -0.001099, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.059290, -0.483168, 0.297493, 0.815603, 0.096558, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.034678, -0.538777, -0.496991, -0.216645, 0.643880, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[46.022210, 51.666693, 51.951718, 54.093272, 86.733275], [37.525691, 38.578491, 41.245016, 50.554255, 114.552011], [55.615549, 56.055844, 60.097078, 71.071034, 170.085307], [11.396084, 12.570380, 14.752585, 14.813937, 148.869698], [12.537933, 12.634459, 14.235020, 15.456696, 140.732620]]
### 6
mean: [-0.487868, 2.541029, 2.461583, 0.655552, -0.982391]
std: [0.326581, 4.415545, 4.815063, 1.946278, 1.555776]
pca: [[-0.031054, -0.295217, 0.239917, 0.899876, 0.211059, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.634588, 0.250862, 0.707132, -0.117863, 0.142963, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.692752, 0.049002, -0.660201, 0.160455, 0.236816, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.258114, 0.909122, -0.078615, 0.271951, 0.163515, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.223170, -0.144956, 0.018925, -0.276819, 0.923145, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.254502, 5.320771, 5.576974, 7.083138, 43.908147], [66.973229, 69.464144, 75.572304, 88.930852, 228.692605], [71.980675, 76.367156, 82.770556, 96.486334, 221.542459], [32.008755, 32.592506, 35.934752, 35.982389, 58.999654], [23.816833, 24.340676, 26.525152, 31.538407, 88.415165]]
### 8
mean: [-2.665293, -1.547107, 7.205526, -2.383410, -1.251115]
std: [4.530679, 1.049587, 8.884771, 2.126312, 0.939856]
pca: [[-0.439522, -0.575484, -0.194116, 0.634003, 0.189729, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.099460, 0.374564, 0.737322, 0.536869, -0.133930, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.864718, -0.064145, -0.159948, 0.455373, 0.123286, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.203114, 0.641160, -0.626870, 0.318356, -0.230957, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.089082, 0.336628, 0.011228, -0.033093, 0.936763, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[69.203267, 71.972411, 78.596826, 92.896389, 239.876413], [16.557721, 16.961944, 17.335323, 21.746066, 139.239581], [137.941873, 138.813908, 151.721417, 183.640362, 648.497352], [33.541626, 33.622732, 34.934336, 44.280903, 214.506901], [14.828429, 15.342675, 15.529626, 19.389189, 112.600374]]
### 10
mean: [-7.940984]
std: [8.793427]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[137.452714, 139.622616, 147.006137, 181.690151, 714.688473]]
## 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.
starts_with
|
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34.934335988098844, 44.280903200714896, 214.50690069794655]}, "4": {"mean": -1.2511152029037476, "std": 0.9398558139801025, "pca": [-0.08908206224441528, 0.33662769198417664, 0.011228139512240887, -0.03309343382716179, 0.9367629885673523, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [14.828428749389289, 15.342675050664814, 15.529625682238029, 19.389188816081955, 112.60037371516228]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "10": {"neuron_profiles": {"0": {"mean": -7.940983772277832, "std": 8.793426513671875, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [137.45271388827447, 139.62261582707674, 147.00613667037382, 181.6901511312346, 714.688473328948]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.251246, -0.355021, -0.810465, -0.14653, -0.5353], [-1.130637, -0.063427, 0.3815, -0.771334, 0.526851], [-1.409143, 0.084528, -0.161693, 0.060307, 0.813387], [0.258964, 0.328862, 0.254086, -0.143698, -0.850989], [-1.091362, 0.233721, 0.06489, -0.018733, 0.73759]], "network.0.bias": [-0.61033, 0.238979, 0.202449, -0.168972, 0.354206], "network.2.weight": [[-0.488711, -0.029734, -0.274101, -0.042173, -0.33416], [0.339491, -0.322423, -0.915064, 1.18687, 0.114176], [-0.200752, 1.112475, 0.423872, -0.345841, 0.812551], [0.264965, -0.05639, -0.332495, 0.717078, -0.66912], [-0.417328, 1.083831, 0.384068, -0.464396, 0.468666]], "network.2.bias": [-0.146326, 0.796273, 0.077713, 0.80147, 0.121561], "network.4.weight": [[0.01657, -0.786701, 0.576233, 0.0492, 0.611623], [-0.066592, 1.116421, -0.235859, 0.465265, -0.327432], [-0.138651, 1.390864, -0.559621, 1.203598, -0.107715], [0.050935, 0.018183, -0.293682, -0.61565, -0.132877], [-0.301021, -0.285136, -0.236441, -0.336713, -0.212087]], "network.4.bias": [0.207519, 0.327714, 0.292501, -0.563097, -0.310987], "network.6.weight": [[-0.069777, 0.027931, -0.151199, 0.261828, -0.268906], [-0.687831, 0.713736, 0.694528, 0.180006, 0.238105], [-0.830263, 0.99234, 0.557176, 0.249451, -0.286577], [0.647424, -0.631121, 0.213159, -0.256122, 0.386692], [0.220791, -0.259476, -0.253825, -0.000184, 0.409609]], "network.6.bias": [-0.046896, 0.561021, 0.559395, 0.24132, -0.215249], "network.8.weight": [[-0.102618, -0.186232, -0.857727, 0.53804, 0.60043], [0.187345, 0.159532, -0.446785, 0.019876, -0.269764], [0.339813, 1.177822, 1.054253, -0.820506, -0.157765], [-0.139863, -0.133218, -0.469943, -0.146459, 0.245786], [0.287442, -0.127333, -0.14475, -0.033993, -0.079695]], "network.8.bias": [0.15743, -0.521748, 0.663071, -0.270735, -0.29442], "network.10.weight": [[0.149975, -0.049503, -1.05313, -0.082249, -0.162658]], "network.10.bias": [0.170614]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7259691953659058, "train_acc": 0.405, "val_loss": 0.6879071593284607, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6805737316608429, "train_acc": 0.615, "val_loss": 0.7089277505874634, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6805610954761505, "train_acc": 0.595, "val_loss": 0.7269412279129028, "val_acc": 0.44}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6422121822834015, "train_acc": 0.595, "val_loss": 0.6196310520172119, "val_acc": 0.6}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6003894209861755, "train_acc": 0.7, "val_loss": 0.45569518208503723, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5354966521263123, "train_acc": 0.73, "val_loss": 0.4810737371444702, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.49657055735588074, "train_acc": 0.73, "val_loss": 0.46379104256629944, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.4747116267681122, "train_acc": 0.75, "val_loss": 0.4382774233818054, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.4533027112483978, "train_acc": 0.76, "val_loss": 0.47331658005714417, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.44998110830783844, "train_acc": 0.765, "val_loss": 0.42474403977394104, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.444033145904541, "train_acc": 0.77, "val_loss": 0.3986258804798126, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.451251819729805, "train_acc": 0.765, "val_loss": 0.4202606976032257, "val_acc": 0.82}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.46610647439956665, "train_acc": 0.76, "val_loss": 0.4391922652721405, "val_acc": 0.8}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.48337867856025696, "train_acc": 0.735, "val_loss": 0.4449320137500763, "val_acc": 0.78}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.6879071593284607, "final_val_loss": 0.6196310520172119, "initial_val_acc": 0.56, "final_val_acc": 0.6, "best_val_acc": 0.6}, "improved_stage": {"initial_val_loss": 0.45569518208503723, "final_val_loss": 0.4449320137500763, "initial_val_acc": 0.8, "final_val_acc": 0.78, "best_val_acc": 0.82, "best_epoch": 10}, "improvement": 0.21999999999999997, "first_improvement_epoch": 3}}
|
9,444
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.46, "improved_accuracy": 0.78, "improvement": 0.32, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7831, "learning_rate": 0.0156384045459699, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "starts_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["starts_with"], "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: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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0.146606,
0.358453,
0.50092,
0.135857
],
[
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[
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0.266055,
-0.173725
],
[
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],
[
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],
[
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],
[
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"network.0.bias": [
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"network.2.weight": [
[
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[
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0.097269,
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[
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[
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[
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[
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[
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"network.2.bias": [
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"network.4.weight": [
[
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[
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[
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[
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[
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"network.6.weight": [
[
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[
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[
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[
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[
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"network.6.bias": [
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"network.8.weight": [
[
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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [2.669324, 1.286825, 1.548710, 1.091024, -1.465918, 0.539000, 1.187553]
std: [1.782154, 1.811138, 1.203206, 1.220505, 1.051171, 1.149788, 1.429337]
pca: [[0.529490, 0.432630, 0.343191, -0.064803, -0.470868, -0.348290, 0.259747, 0.000000, 0.000000, 0.000000], [0.541461, -0.289368, -0.333819, 0.694291, 0.100955, -0.029269, 0.136245, 0.000000, 0.000000, 0.000000], [0.376062, -0.021296, -0.072385, -0.509481, 0.571535, 0.161771, 0.490399, 0.000000, 0.000000, 0.000000], [-0.036409, 0.650930, 0.051172, 0.325097, 0.091823, 0.673035, 0.072454, 0.000000, 0.000000, 0.000000], [-0.189545, -0.463379, 0.247201, 0.039738, -0.437066, 0.396953, 0.581435, 0.000000, 0.000000, 0.000000], [0.195353, -0.242495, 0.817091, 0.153921, 0.334522, 0.095407, -0.301160, 0.000000, 0.000000, 0.000000], [0.457845, -0.177228, -0.184882, -0.351043, -0.360659, 0.481681, -0.489351, 0.000000, 0.000000, 0.000000]]
fourier: [[26.631727, 29.757175, 31.739384, 36.125739, 240.239139], [29.939204, 30.163996, 30.286211, 33.034983, 115.814257], [18.785242, 20.648342, 22.194890, 24.808726, 139.383922], [17.256722, 21.408456, 21.822027, 22.618685, 98.192186], [16.733120, 17.453990, 17.578038, 18.289698, 131.932578], [19.508010, 20.022897, 21.452777, 28.171698, 48.510006], [22.367425, 23.174291, 25.384395, 27.735301, 106.879735]]
### 2
mean: [-1.638328, 1.410517, -0.085643, -0.645809, 2.087637, 0.943427, 0.830090]
std: [1.333998, 1.356200, 0.563687, 0.337036, 2.145334, 0.835811, 1.093650]
pca: [[-0.438284, -0.042915, -0.082762, 0.294569, 0.493933, 0.670801, -0.136020, 0.000000, 0.000000, 0.000000], [0.446009, 0.093660, 0.067800, -0.128147, -0.163673, 0.606920, 0.613307, 0.000000, 0.000000, 0.000000], [0.000208, -0.429960, 0.707890, -0.457811, 0.320235, 0.017119, -0.039884, 0.000000, 0.000000, 0.000000], [-0.086564, -0.069138, 0.202605, 0.538216, 0.328238, -0.385699, 0.632849, 0.000000, 0.000000, 0.000000], [0.706369, 0.075233, -0.213468, 0.049566, 0.617781, -0.085648, -0.241596, 0.000000, 0.000000, 0.000000], [0.238662, 0.260938, 0.601818, 0.536700, -0.265958, 0.132107, -0.369505, 0.000000, 0.000000, 0.000000], [-0.213480, 0.852051, 0.196576, -0.327164, 0.258001, -0.088481, 0.091450, 0.000000, 0.000000, 0.000000]]
fourier: [[21.289745, 22.535869, 23.600313, 24.741086, 147.449490], [21.955054, 22.682085, 24.230494, 24.940650, 126.946492], [7.652480, 7.707826, 8.789922, 8.884003, 9.421415], [5.422457, 5.523189, 5.763838, 5.813736, 58.122774], [35.997599, 36.159478, 36.686943, 39.962599, 187.887301], [12.929386, 15.217831, 15.877615, 16.198171, 84.908426], [16.181448, 16.523711, 16.594154, 17.363513, 74.708063]]
### 4
mean: [0.248881, 1.280572, 1.092180, 1.408504, -0.771798, 0.521101, -0.540578]
std: [0.589176, 1.602671, 1.492882, 1.551372, 0.595266, 0.429985, 0.274762]
pca: [[-0.167543, 0.558178, 0.503840, 0.440311, -0.238989, 0.114939, 0.377242, 0.000000, 0.000000, 0.000000], [0.575608, 0.038236, 0.326791, -0.130818, 0.219987, 0.686337, -0.154452, 0.000000, 0.000000, 0.000000], [0.535782, 0.088811, 0.272448, -0.409447, -0.457785, -0.496883, 0.081947, 0.000000, 0.000000, 0.000000], [0.556879, -0.046796, -0.326890, 0.501305, 0.311414, -0.216025, 0.431145, 0.000000, 0.000000, 0.000000], [-0.193221, -0.403367, 0.228314, -0.384655, 0.190690, 0.108528, 0.742787, 0.000000, 0.000000, 0.000000], [-0.067414, 0.622496, -0.023198, -0.382564, 0.634128, -0.242772, 0.002202, 0.000000, 0.000000, 0.000000], [-0.039367, -0.355938, 0.636869, 0.275216, 0.386605, -0.389172, -0.299156, 0.000000, 0.000000, 0.000000]]
fourier: [[9.105245, 9.106612, 9.702389, 12.285400, 22.399331], [24.686757, 26.204764, 29.382787, 29.909519, 115.251479], [23.526359, 24.126005, 27.492121, 27.552699, 98.296181], [22.771209, 26.417094, 27.535047, 30.263454, 126.765347], [9.786558, 9.893211, 10.462935, 11.401568, 69.461845], [6.681165, 6.707894, 6.708871, 7.194552, 46.899061], [4.246010, 4.452382, 5.081293, 5.566508, 48.652064]]
### 6
mean: [-0.728589, 0.356590, 1.491621, 0.904077, 0.427019, 1.229957, 0.860006]
std: [0.643629, 0.976251, 2.107079, 1.595129, 0.829258, 1.727319, 1.545404]
pca: [[-0.162996, 0.691083, -0.242446, 0.097662, 0.589550, 0.274005, -0.069788, 0.000000, 0.000000, 0.000000], [0.256799, 0.309201, -0.534121, 0.196355, -0.285746, -0.614675, -0.234805, 0.000000, 0.000000, 0.000000], [0.556435, -0.052831, 0.251170, 0.517564, 0.369789, -0.183736, 0.431424, 0.000000, 0.000000, 0.000000], [0.421128, 0.111933, -0.391464, -0.505789, -0.152692, 0.271116, 0.551576, 0.000000, 0.000000, 0.000000], [0.214908, 0.588431, 0.661611, -0.279274, -0.263937, -0.124320, -0.081986, 0.000000, 0.000000, 0.000000], [0.455816, -0.255064, -0.004062, -0.451301, 0.481629, -0.099704, -0.530639, 0.000000, 0.000000, 0.000000], [0.408122, 0.012996, -0.043108, 0.382812, -0.330292, 0.643768, -0.401664, 0.000000, 0.000000, 0.000000]]
fourier: [[10.532210, 10.814031, 11.487376, 11.597126, 65.572983], [13.668785, 17.115366, 17.190219, 19.180520, 32.093092], [31.830188, 37.068785, 37.271251, 39.620401, 134.245899], [23.512826, 28.145949, 28.204868, 30.252022, 81.366912], [12.681155, 13.522714, 14.885938, 17.699318, 38.431699], [26.598286, 30.502469, 30.540322, 31.645178, 110.696166], [23.268691, 26.991638, 27.537776, 29.255255, 77.400522]]
### 8
mean: [-2.608645]
std: [3.655640]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[57.807021, 61.167009, 63.387019, 65.580351, 234.778021]]
## 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.
|
starts_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.369753,
0.146606,
0.358453,
0.50092,
0.135857
],
[
0.433514,
0.538638,
0.327289,
-0.208291,
-0.19267
],
[
0.369177,
0.273294,
-0.037632,
0.266055,
-0.173725
],
[
-0.360401,
0.077714,
0.177258,
0.156893,
0.507595
],
[
0.145098,
-0.34928,
-0.114223,
-0.215795,
-0.238299
],
[
0.604414,
-0.306788,
-0.009496,
0.054014,
0.010485
],
[
0.433997,
0.286972,
0.14005,
0.208108,
-0.370067
]
],
"network.0.bias": [
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0.313618,
0.065158,
-0.014758,
0.236952,
-0.157869
],
"network.2.weight": [
[
-0.084619,
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[
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0.303223,
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0.097269,
0.304339,
0.273067
],
[
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0.20992,
0.217299,
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0.437708,
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],
[
0.037182,
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0.210787,
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0.022896,
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],
[
0.354585,
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0.350351,
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0.233122,
0.116481
],
[
0.234791,
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0.165409,
-0.009287,
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0.430254,
0.050627
],
[
0.444317,
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0.299244,
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]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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],
[
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0.246021,
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],
[
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0.313993,
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],
[
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0.401876,
0.110156,
0.425095,
0.204177,
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],
[
0.081007,
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0.01757,
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],
[
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0.413136
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[
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]
],
"network.4.bias": [
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"network.6.weight": [
[
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],
[
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[
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[
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[
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[
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[
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]
],
"network.6.bias": [
0.021517,
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"network.8.weight": [
[
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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [2.669324, 1.286825, 1.548710, 1.091024, -1.465918, 0.539000, 1.187553]
std: [1.782154, 1.811138, 1.203206, 1.220505, 1.051171, 1.149788, 1.429337]
pca: [[0.529490, 0.432630, 0.343191, -0.064803, -0.470868, -0.348290, 0.259747, 0.000000, 0.000000, 0.000000], [0.541461, -0.289368, -0.333819, 0.694291, 0.100955, -0.029269, 0.136245, 0.000000, 0.000000, 0.000000], [0.376062, -0.021296, -0.072385, -0.509481, 0.571535, 0.161771, 0.490399, 0.000000, 0.000000, 0.000000], [-0.036409, 0.650930, 0.051172, 0.325097, 0.091823, 0.673035, 0.072454, 0.000000, 0.000000, 0.000000], [-0.189545, -0.463379, 0.247201, 0.039738, -0.437066, 0.396953, 0.581435, 0.000000, 0.000000, 0.000000], [0.195353, -0.242495, 0.817091, 0.153921, 0.334522, 0.095407, -0.301160, 0.000000, 0.000000, 0.000000], [0.457845, -0.177228, -0.184882, -0.351043, -0.360659, 0.481681, -0.489351, 0.000000, 0.000000, 0.000000]]
fourier: [[26.631727, 29.757175, 31.739384, 36.125739, 240.239139], [29.939204, 30.163996, 30.286211, 33.034983, 115.814257], [18.785242, 20.648342, 22.194890, 24.808726, 139.383922], [17.256722, 21.408456, 21.822027, 22.618685, 98.192186], [16.733120, 17.453990, 17.578038, 18.289698, 131.932578], [19.508010, 20.022897, 21.452777, 28.171698, 48.510006], [22.367425, 23.174291, 25.384395, 27.735301, 106.879735]]
### 2
mean: [-1.638328, 1.410517, -0.085643, -0.645809, 2.087637, 0.943427, 0.830090]
std: [1.333998, 1.356200, 0.563687, 0.337036, 2.145334, 0.835811, 1.093650]
pca: [[-0.438284, -0.042915, -0.082762, 0.294569, 0.493933, 0.670801, -0.136020, 0.000000, 0.000000, 0.000000], [0.446009, 0.093660, 0.067800, -0.128147, -0.163673, 0.606920, 0.613307, 0.000000, 0.000000, 0.000000], [0.000208, -0.429960, 0.707890, -0.457811, 0.320235, 0.017119, -0.039884, 0.000000, 0.000000, 0.000000], [-0.086564, -0.069138, 0.202605, 0.538216, 0.328238, -0.385699, 0.632849, 0.000000, 0.000000, 0.000000], [0.706369, 0.075233, -0.213468, 0.049566, 0.617781, -0.085648, -0.241596, 0.000000, 0.000000, 0.000000], [0.238662, 0.260938, 0.601818, 0.536700, -0.265958, 0.132107, -0.369505, 0.000000, 0.000000, 0.000000], [-0.213480, 0.852051, 0.196576, -0.327164, 0.258001, -0.088481, 0.091450, 0.000000, 0.000000, 0.000000]]
fourier: [[21.289745, 22.535869, 23.600313, 24.741086, 147.449490], [21.955054, 22.682085, 24.230494, 24.940650, 126.946492], [7.652480, 7.707826, 8.789922, 8.884003, 9.421415], [5.422457, 5.523189, 5.763838, 5.813736, 58.122774], [35.997599, 36.159478, 36.686943, 39.962599, 187.887301], [12.929386, 15.217831, 15.877615, 16.198171, 84.908426], [16.181448, 16.523711, 16.594154, 17.363513, 74.708063]]
### 4
mean: [0.248881, 1.280572, 1.092180, 1.408504, -0.771798, 0.521101, -0.540578]
std: [0.589176, 1.602671, 1.492882, 1.551372, 0.595266, 0.429985, 0.274762]
pca: [[-0.167543, 0.558178, 0.503840, 0.440311, -0.238989, 0.114939, 0.377242, 0.000000, 0.000000, 0.000000], [0.575608, 0.038236, 0.326791, -0.130818, 0.219987, 0.686337, -0.154452, 0.000000, 0.000000, 0.000000], [0.535782, 0.088811, 0.272448, -0.409447, -0.457785, -0.496883, 0.081947, 0.000000, 0.000000, 0.000000], [0.556879, -0.046796, -0.326890, 0.501305, 0.311414, -0.216025, 0.431145, 0.000000, 0.000000, 0.000000], [-0.193221, -0.403367, 0.228314, -0.384655, 0.190690, 0.108528, 0.742787, 0.000000, 0.000000, 0.000000], [-0.067414, 0.622496, -0.023198, -0.382564, 0.634128, -0.242772, 0.002202, 0.000000, 0.000000, 0.000000], [-0.039367, -0.355938, 0.636869, 0.275216, 0.386605, -0.389172, -0.299156, 0.000000, 0.000000, 0.000000]]
fourier: [[9.105245, 9.106612, 9.702389, 12.285400, 22.399331], [24.686757, 26.204764, 29.382787, 29.909519, 115.251479], [23.526359, 24.126005, 27.492121, 27.552699, 98.296181], [22.771209, 26.417094, 27.535047, 30.263454, 126.765347], [9.786558, 9.893211, 10.462935, 11.401568, 69.461845], [6.681165, 6.707894, 6.708871, 7.194552, 46.899061], [4.246010, 4.452382, 5.081293, 5.566508, 48.652064]]
### 6
mean: [-0.728589, 0.356590, 1.491621, 0.904077, 0.427019, 1.229957, 0.860006]
std: [0.643629, 0.976251, 2.107079, 1.595129, 0.829258, 1.727319, 1.545404]
pca: [[-0.162996, 0.691083, -0.242446, 0.097662, 0.589550, 0.274005, -0.069788, 0.000000, 0.000000, 0.000000], [0.256799, 0.309201, -0.534121, 0.196355, -0.285746, -0.614675, -0.234805, 0.000000, 0.000000, 0.000000], [0.556435, -0.052831, 0.251170, 0.517564, 0.369789, -0.183736, 0.431424, 0.000000, 0.000000, 0.000000], [0.421128, 0.111933, -0.391464, -0.505789, -0.152692, 0.271116, 0.551576, 0.000000, 0.000000, 0.000000], [0.214908, 0.588431, 0.661611, -0.279274, -0.263937, -0.124320, -0.081986, 0.000000, 0.000000, 0.000000], [0.455816, -0.255064, -0.004062, -0.451301, 0.481629, -0.099704, -0.530639, 0.000000, 0.000000, 0.000000], [0.408122, 0.012996, -0.043108, 0.382812, -0.330292, 0.643768, -0.401664, 0.000000, 0.000000, 0.000000]]
fourier: [[10.532210, 10.814031, 11.487376, 11.597126, 65.572983], [13.668785, 17.115366, 17.190219, 19.180520, 32.093092], [31.830188, 37.068785, 37.271251, 39.620401, 134.245899], [23.512826, 28.145949, 28.204868, 30.252022, 81.366912], [12.681155, 13.522714, 14.885938, 17.699318, 38.431699], [26.598286, 30.502469, 30.540322, 31.645178, 110.696166], [23.268691, 26.991638, 27.537776, 29.255255, 77.400522]]
### 8
mean: [-2.608645]
std: [3.655640]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[57.807021, 61.167009, 63.387019, 65.580351, 234.778021]]
## 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.
starts_with
|
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|
9,445
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.46, "improved_accuracy": 0.8, "improvement": 0.34, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4017, "learning_rate": 0.06291781907387113, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "mountain_pattern", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["mountain_pattern"], "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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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## Activation Signature
### 0
mean: [-0.054642, -2.063772, -1.353954, 2.055763, 1.387887, 2.920133]
std: [2.758168, 1.836382, 1.062576, 2.356688, 2.192523, 2.436165]
pca: [[0.586983, -0.413649, -0.146715, -0.035330, 0.421237, 0.533040, 0.000000, 0.000000, 0.000000, 0.000000], [-0.159224, 0.758570, -0.119235, -0.262977, 0.310036, 0.468746, 0.000000, 0.000000, 0.000000, 0.000000], [0.192332, 0.261346, -0.013433, 0.542945, 0.618771, -0.465682, 0.000000, 0.000000, 0.000000, 0.000000], [-0.518960, -0.170812, -0.126637, 0.684600, -0.019914, 0.465180, 0.000000, 0.000000, 0.000000, 0.000000], [-0.336507, -0.226160, 0.780992, -0.193512, 0.430036, 0.057354, 0.000000, 0.000000, 0.000000, 0.000000], [-0.458859, -0.323788, -0.581457, -0.358721, 0.397785, -0.244139, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[43.781964, 44.147827, 44.654631, 47.055511, 47.335118], [28.304359, 28.833452, 29.932882, 31.662021, 185.739527], [16.173243, 17.186368, 19.091815, 20.838865, 121.855851], [36.434419, 37.898911, 38.241065, 40.008316, 185.018676], [33.553202, 35.499619, 36.305959, 42.529597, 124.909815], [42.522408, 42.580719, 42.614762, 46.269920, 262.811944]]
### 2
mean: [-0.440241, 3.461089, 2.214007, 3.284594, -1.538307, -1.488806]
std: [1.759758, 3.207059, 2.518184, 3.159996, 0.696028, 0.694968]
pca: [[-0.288909, 0.719930, -0.196860, 0.527877, -0.028102, 0.282905, 0.000000, 0.000000, 0.000000, 0.000000], [0.590958, -0.155840, -0.566222, 0.230252, 0.451541, 0.221292, 0.000000, 0.000000, 0.000000, 0.000000], [0.461623, 0.278839, 0.377118, -0.342920, -0.177011, 0.646535, 0.000000, 0.000000, 0.000000, 0.000000], [0.583191, 0.222256, 0.300744, 0.405055, -0.250617, -0.541447, 0.000000, 0.000000, 0.000000, 0.000000], [-0.050965, -0.561475, 0.072593, 0.533142, -0.495738, 0.383252, 0.000000, 0.000000, 0.000000, 0.000000], [-0.107218, -0.122525, 0.634589, 0.320039, 0.674850, 0.113756, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.286599, 28.005627, 29.320246, 29.356273, 39.621676], [49.301085, 51.678921, 51.820438, 52.987465, 311.497997], [38.717213, 39.460255, 41.950708, 43.177285, 199.260589], [47.772726, 48.368665, 53.662681, 53.803229, 295.613426], [12.483286, 13.090012, 13.300242, 14.438691, 138.447596], [12.182242, 12.525795, 12.745266, 13.147779, 133.992568]]
### 4
mean: [4.515912, 5.936765, -3.135289, -2.798639, -2.377876, -1.472863]
std: [3.814274, 5.636558, 2.729111, 2.521198, 1.690860, 1.100157]
pca: [[0.475984, 0.446118, 0.606172, 0.078840, -0.096922, -0.437450, 0.000000, 0.000000, 0.000000, 0.000000], [0.705034, 0.298605, -0.564750, -0.108802, 0.171436, 0.231498, 0.000000, 0.000000, 0.000000, 0.000000], [-0.339458, 0.528440, -0.372619, -0.279198, -0.560579, -0.272900, 0.000000, 0.000000, 0.000000, 0.000000], [-0.314795, 0.337460, -0.022504, -0.293510, 0.795863, -0.258792, 0.000000, 0.000000, 0.000000, 0.000000], [-0.209861, 0.398336, -0.137841, 0.867819, 0.103382, 0.120374, 0.000000, 0.000000, 0.000000, 0.000000], [-0.134152, 0.400018, 0.394032, -0.254435, -0.053680, 0.774021, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[57.437637, 57.609688, 64.523517, 64.692404, 406.431998], [88.200710, 88.245626, 95.443267, 96.056859, 534.308871], [43.694353, 44.379856, 44.948913, 48.100205, 282.175968], [39.685680, 40.547412, 42.056365, 43.458885, 251.877502], [27.190985, 27.510538, 27.717807, 30.443290, 214.008805], [16.903826, 17.843852, 18.952985, 21.192229, 132.557633]]
### 6
mean: [-0.688562, -4.108685, 9.594230, 4.234493, -2.127605, -1.912634]
std: [0.375613, 4.410761, 8.614251, 3.944470, 2.093203, 1.636802]
pca: [[-0.034750, -0.339718, -0.033962, -0.133152, 0.926753, 0.075034, 0.000000, 0.000000, 0.000000, 0.000000], [-0.408789, 0.400206, -0.017826, 0.185331, 0.093116, 0.793342, 0.000000, 0.000000, 0.000000, 0.000000], [0.798382, 0.060498, -0.462993, 0.204604, 0.038786, 0.318115, 0.000000, 0.000000, 0.000000, 0.000000], [0.365576, 0.269104, 0.806492, 0.325968, 0.190994, -0.027824, 0.000000, 0.000000, 0.000000, 0.000000], [-0.193976, -0.512146, -0.059985, 0.830649, -0.075587, -0.028117, 0.000000, 0.000000, 0.000000, 0.000000], [-0.151653, 0.621334, -0.360747, 0.331402, 0.297929, -0.512072, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.606596, 5.655361, 6.324348, 6.382209, 61.970568], [68.083546, 68.327523, 74.352599, 75.316790, 369.781644], [132.548225, 132.956306, 145.222593, 147.049747, 863.480746], [60.573408, 60.740442, 66.499323, 67.320058, 381.104320], [31.958892, 32.016629, 35.288580, 35.699945, 191.484485], [25.495975, 25.623345, 27.578625, 27.967879, 172.137041]]
### 8
mean: [-4.163712, -4.568434, -3.465244, 5.279951, 9.716735, -5.619322]
std: [3.487199, 3.781842, 2.761021, 4.560523, 8.900311, 4.922655]
pca: [[-0.277070, 0.516833, -0.509847, -0.037900, -0.456548, -0.431623, 0.000000, 0.000000, 0.000000, 0.000000], [-0.300558, 0.255157, 0.828523, -0.241955, -0.237527, -0.207724, 0.000000, 0.000000, 0.000000, 0.000000], [-0.219384, 0.374594, 0.117641, 0.746715, -0.091326, 0.481443, 0.000000, 0.000000, 0.000000, 0.000000], [0.362386, 0.563653, 0.087093, 0.112432, 0.640226, -0.347644, 0.000000, 0.000000, 0.000000, 0.000000], [0.707380, 0.319661, 0.048711, -0.250201, -0.446248, 0.365130, 0.000000, 0.000000, 0.000000, 0.000000], [-0.391225, 0.327979, -0.172651, -0.554254, 0.343188, 0.533469, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[54.622364, 54.903783, 58.066357, 59.672858, 374.734068], [58.470437, 58.793044, 63.305235, 64.703110, 411.159000], [43.119556, 43.366797, 45.981902, 47.263971, 311.871953], [68.913047, 69.005138, 77.667233, 77.703138, 475.195567], [136.044941, 136.422115, 150.533455, 151.863231, 874.506162], [76.257306, 76.592509, 82.523310, 84.151405, 505.739010]]
### 10
mean: [-1.210603, -0.315694, 5.597584, 8.161938, 6.457263, 11.306509]
std: [1.020942, 0.177800, 5.125750, 7.533298, 5.839087, 10.210265]
pca: [[-0.068452, -0.176921, 0.047090, 0.383641, 0.861261, -0.269899, 0.000000, 0.000000, 0.000000, 0.000000], [-0.011876, 0.499400, -0.027905, -0.333300, 0.457056, 0.655508, 0.000000, 0.000000, 0.000000, 0.000000], [0.343676, -0.102668, -0.435257, 0.661245, -0.113667, 0.481386, 0.000000, 0.000000, 0.000000, 0.000000], [0.505098, 0.688298, -0.175197, 0.081570, 0.003265, -0.483491, 0.000000, 0.000000, 0.000000, 0.000000], [0.391504, -0.433198, -0.565980, -0.543563, 0.186035, -0.093062, 0.000000, 0.000000, 0.000000, 0.000000], [0.684588, -0.217583, 0.675668, -0.048708, 0.042310, 0.152665, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.669691, 15.755876, 17.168184, 17.462509, 108.954237], [2.558808, 2.563311, 3.003221, 3.114748, 28.412502], [78.314670, 78.706898, 86.452932, 87.616725, 503.782590], [115.407980, 116.019457, 126.836807, 128.818630, 734.574409], [89.103266, 89.537608, 98.563168, 99.792563, 581.153680], [155.995810, 156.776693, 172.212949, 174.528061, 1017.585787]]
### 12
mean: [-12.798571]
std: [11.865179]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[181.662546, 182.744624, 199.614031, 202.988866, 1151.871217]]
## 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.
|
mountain_pattern
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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[
-0.120517,
-0.244987,
-0.469006,
-0.22744,
-0.178714,
0.030469
]
],
"network.8.bias": [
-0.230648,
-0.43278,
-0.392864,
0.287039,
-0.033068,
-0.142768
],
"network.10.weight": [
[
0.148981,
0.25803,
0.164881,
0.001195,
-0.115558,
-0.406399
],
[
0.278164,
-0.218381,
-0.035275,
-0.248576,
0.107386,
0.371795
],
[
0.462859,
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-0.157774,
0.463254,
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0.070659
],
[
-0.169009,
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0.707384,
-0.272295
],
[
-0.103367,
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0.05273,
0.67205,
0.313177,
-0.505683
],
[
-0.120206,
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]
],
"network.10.bias": [
-0.092175,
-0.046176,
-0.160057,
-0.176839,
-0.145429,
-0.163868
],
"network.12.weight": [
[
-0.114112,
0.006551,
-0.214992,
-0.354726,
-0.233935,
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]
],
"network.12.bias": [
0.27691
]
}
## Activation Signature
### 0
mean: [-0.054642, -2.063772, -1.353954, 2.055763, 1.387887, 2.920133]
std: [2.758168, 1.836382, 1.062576, 2.356688, 2.192523, 2.436165]
pca: [[0.586983, -0.413649, -0.146715, -0.035330, 0.421237, 0.533040, 0.000000, 0.000000, 0.000000, 0.000000], [-0.159224, 0.758570, -0.119235, -0.262977, 0.310036, 0.468746, 0.000000, 0.000000, 0.000000, 0.000000], [0.192332, 0.261346, -0.013433, 0.542945, 0.618771, -0.465682, 0.000000, 0.000000, 0.000000, 0.000000], [-0.518960, -0.170812, -0.126637, 0.684600, -0.019914, 0.465180, 0.000000, 0.000000, 0.000000, 0.000000], [-0.336507, -0.226160, 0.780992, -0.193512, 0.430036, 0.057354, 0.000000, 0.000000, 0.000000, 0.000000], [-0.458859, -0.323788, -0.581457, -0.358721, 0.397785, -0.244139, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[43.781964, 44.147827, 44.654631, 47.055511, 47.335118], [28.304359, 28.833452, 29.932882, 31.662021, 185.739527], [16.173243, 17.186368, 19.091815, 20.838865, 121.855851], [36.434419, 37.898911, 38.241065, 40.008316, 185.018676], [33.553202, 35.499619, 36.305959, 42.529597, 124.909815], [42.522408, 42.580719, 42.614762, 46.269920, 262.811944]]
### 2
mean: [-0.440241, 3.461089, 2.214007, 3.284594, -1.538307, -1.488806]
std: [1.759758, 3.207059, 2.518184, 3.159996, 0.696028, 0.694968]
pca: [[-0.288909, 0.719930, -0.196860, 0.527877, -0.028102, 0.282905, 0.000000, 0.000000, 0.000000, 0.000000], [0.590958, -0.155840, -0.566222, 0.230252, 0.451541, 0.221292, 0.000000, 0.000000, 0.000000, 0.000000], [0.461623, 0.278839, 0.377118, -0.342920, -0.177011, 0.646535, 0.000000, 0.000000, 0.000000, 0.000000], [0.583191, 0.222256, 0.300744, 0.405055, -0.250617, -0.541447, 0.000000, 0.000000, 0.000000, 0.000000], [-0.050965, -0.561475, 0.072593, 0.533142, -0.495738, 0.383252, 0.000000, 0.000000, 0.000000, 0.000000], [-0.107218, -0.122525, 0.634589, 0.320039, 0.674850, 0.113756, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.286599, 28.005627, 29.320246, 29.356273, 39.621676], [49.301085, 51.678921, 51.820438, 52.987465, 311.497997], [38.717213, 39.460255, 41.950708, 43.177285, 199.260589], [47.772726, 48.368665, 53.662681, 53.803229, 295.613426], [12.483286, 13.090012, 13.300242, 14.438691, 138.447596], [12.182242, 12.525795, 12.745266, 13.147779, 133.992568]]
### 4
mean: [4.515912, 5.936765, -3.135289, -2.798639, -2.377876, -1.472863]
std: [3.814274, 5.636558, 2.729111, 2.521198, 1.690860, 1.100157]
pca: [[0.475984, 0.446118, 0.606172, 0.078840, -0.096922, -0.437450, 0.000000, 0.000000, 0.000000, 0.000000], [0.705034, 0.298605, -0.564750, -0.108802, 0.171436, 0.231498, 0.000000, 0.000000, 0.000000, 0.000000], [-0.339458, 0.528440, -0.372619, -0.279198, -0.560579, -0.272900, 0.000000, 0.000000, 0.000000, 0.000000], [-0.314795, 0.337460, -0.022504, -0.293510, 0.795863, -0.258792, 0.000000, 0.000000, 0.000000, 0.000000], [-0.209861, 0.398336, -0.137841, 0.867819, 0.103382, 0.120374, 0.000000, 0.000000, 0.000000, 0.000000], [-0.134152, 0.400018, 0.394032, -0.254435, -0.053680, 0.774021, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[57.437637, 57.609688, 64.523517, 64.692404, 406.431998], [88.200710, 88.245626, 95.443267, 96.056859, 534.308871], [43.694353, 44.379856, 44.948913, 48.100205, 282.175968], [39.685680, 40.547412, 42.056365, 43.458885, 251.877502], [27.190985, 27.510538, 27.717807, 30.443290, 214.008805], [16.903826, 17.843852, 18.952985, 21.192229, 132.557633]]
### 6
mean: [-0.688562, -4.108685, 9.594230, 4.234493, -2.127605, -1.912634]
std: [0.375613, 4.410761, 8.614251, 3.944470, 2.093203, 1.636802]
pca: [[-0.034750, -0.339718, -0.033962, -0.133152, 0.926753, 0.075034, 0.000000, 0.000000, 0.000000, 0.000000], [-0.408789, 0.400206, -0.017826, 0.185331, 0.093116, 0.793342, 0.000000, 0.000000, 0.000000, 0.000000], [0.798382, 0.060498, -0.462993, 0.204604, 0.038786, 0.318115, 0.000000, 0.000000, 0.000000, 0.000000], [0.365576, 0.269104, 0.806492, 0.325968, 0.190994, -0.027824, 0.000000, 0.000000, 0.000000, 0.000000], [-0.193976, -0.512146, -0.059985, 0.830649, -0.075587, -0.028117, 0.000000, 0.000000, 0.000000, 0.000000], [-0.151653, 0.621334, -0.360747, 0.331402, 0.297929, -0.512072, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.606596, 5.655361, 6.324348, 6.382209, 61.970568], [68.083546, 68.327523, 74.352599, 75.316790, 369.781644], [132.548225, 132.956306, 145.222593, 147.049747, 863.480746], [60.573408, 60.740442, 66.499323, 67.320058, 381.104320], [31.958892, 32.016629, 35.288580, 35.699945, 191.484485], [25.495975, 25.623345, 27.578625, 27.967879, 172.137041]]
### 8
mean: [-4.163712, -4.568434, -3.465244, 5.279951, 9.716735, -5.619322]
std: [3.487199, 3.781842, 2.761021, 4.560523, 8.900311, 4.922655]
pca: [[-0.277070, 0.516833, -0.509847, -0.037900, -0.456548, -0.431623, 0.000000, 0.000000, 0.000000, 0.000000], [-0.300558, 0.255157, 0.828523, -0.241955, -0.237527, -0.207724, 0.000000, 0.000000, 0.000000, 0.000000], [-0.219384, 0.374594, 0.117641, 0.746715, -0.091326, 0.481443, 0.000000, 0.000000, 0.000000, 0.000000], [0.362386, 0.563653, 0.087093, 0.112432, 0.640226, -0.347644, 0.000000, 0.000000, 0.000000, 0.000000], [0.707380, 0.319661, 0.048711, -0.250201, -0.446248, 0.365130, 0.000000, 0.000000, 0.000000, 0.000000], [-0.391225, 0.327979, -0.172651, -0.554254, 0.343188, 0.533469, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[54.622364, 54.903783, 58.066357, 59.672858, 374.734068], [58.470437, 58.793044, 63.305235, 64.703110, 411.159000], [43.119556, 43.366797, 45.981902, 47.263971, 311.871953], [68.913047, 69.005138, 77.667233, 77.703138, 475.195567], [136.044941, 136.422115, 150.533455, 151.863231, 874.506162], [76.257306, 76.592509, 82.523310, 84.151405, 505.739010]]
### 10
mean: [-1.210603, -0.315694, 5.597584, 8.161938, 6.457263, 11.306509]
std: [1.020942, 0.177800, 5.125750, 7.533298, 5.839087, 10.210265]
pca: [[-0.068452, -0.176921, 0.047090, 0.383641, 0.861261, -0.269899, 0.000000, 0.000000, 0.000000, 0.000000], [-0.011876, 0.499400, -0.027905, -0.333300, 0.457056, 0.655508, 0.000000, 0.000000, 0.000000, 0.000000], [0.343676, -0.102668, -0.435257, 0.661245, -0.113667, 0.481386, 0.000000, 0.000000, 0.000000, 0.000000], [0.505098, 0.688298, -0.175197, 0.081570, 0.003265, -0.483491, 0.000000, 0.000000, 0.000000, 0.000000], [0.391504, -0.433198, -0.565980, -0.543563, 0.186035, -0.093062, 0.000000, 0.000000, 0.000000, 0.000000], [0.684588, -0.217583, 0.675668, -0.048708, 0.042310, 0.152665, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.669691, 15.755876, 17.168184, 17.462509, 108.954237], [2.558808, 2.563311, 3.003221, 3.114748, 28.412502], [78.314670, 78.706898, 86.452932, 87.616725, 503.782590], [115.407980, 116.019457, 126.836807, 128.818630, 734.574409], [89.103266, 89.537608, 98.563168, 99.792563, 581.153680], [155.995810, 156.776693, 172.212949, 174.528061, 1017.585787]]
### 12
mean: [-12.798571]
std: [11.865179]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[181.662546, 182.744624, 199.614031, 202.988866, 1151.871217]]
## 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.
mountain_pattern
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-1.069573, -0.513066, 0.493622, 0.673601, 0.036513], [0.400076, -0.10619, -0.601778, -0.621704, 0.225407], [-0.350178, -0.222735, -0.070739, -0.121778, -0.043743], [0.651332, 0.770283, 0.088193, -0.459774, 0.124732], [0.818294, 0.29893, -0.093626, 0.23163, -0.753889], [0.534103, 0.638725, 0.203291, -0.312324, 0.656504]], "network.0.bias": [-0.309353, -0.055888, -0.049443, 0.489487, 0.453503, 0.526992], "network.2.weight": [[0.638191, 0.195753, -0.188497, -0.147572, -0.692039, 0.156213], [-0.272319, 0.564544, -0.081043, 0.717458, 0.835433, 0.059141], [-0.455674, 0.244174, 0.288293, 0.276884, 0.461003, 0.428053], [-0.456259, 0.672741, 0.309107, 0.665613, 0.508007, 0.276436], [-0.146933, 0.187313, -0.00069, 0.146604, 0.050432, -0.420288], [-0.144226, -0.401865, 0.199088, 0.071708, -0.276117, -0.204558]], "network.2.bias": [-0.102617, 0.589442, 0.044922, 0.614358, -0.563525, -0.407874], "network.4.weight": [[-0.301632, 0.731928, 0.10492, 0.362217, 0.080947, -0.268618], [-0.176581, 0.490637, 0.704891, 0.74052, -0.06974, 0.345033], [-0.492288, -0.597394, -0.111073, -0.22664, 0.138768, 0.393017], [-0.320262, -0.396803, -0.230898, -0.256422, 0.371026, 0.345918], [-0.370874, -0.325121, -0.030597, -0.221545, 0.06757, -0.249894], [-0.34048, -0.026061, -0.264403, -0.146695, 0.01131, -0.005856]], "network.4.bias": [0.667742, 0.248325, 0.160278, 0.096892, -0.281913, -0.142774], "network.6.weight": [[-0.111011, 0.00833, 0.389448, 0.247601, -0.071087, -0.042218], [-0.413041, -0.505342, -0.191805, 0.071723, 0.10371, 0.328455], [0.978446, 0.870892, 0.082821, 0.373646, -0.233888, -0.279417], [0.497079, 0.365632, 0.152961, 0.266945, -0.086768, -0.228921], [-0.338618, -0.143416, 0.107897, 0.033569, -0.400057, 0.303118], [-0.057422, -0.252215, 0.246799, -0.081618, 0.159284, -0.015671]], "network.6.bias": [-0.235866, 0.764791, -0.010817, -0.188447, 0.257115, -0.153155], "network.8.weight": [[0.192133, -0.572283, -0.399498, -0.017951, 0.001554, 0.168787], [-0.267781, -0.01083, -0.158405, -0.61548, -0.498599, -0.105882], [0.36881, -0.325689, -0.208986, -0.24805, -0.160388, 0.196707], [-0.06895, -0.747712, 0.469636, 0.122103, 0.04563, 0.276292], [-0.20059, -0.484893, 0.681684, 0.762455, -0.34771, -0.318927], [-0.120517, -0.244987, -0.469006, -0.22744, -0.178714, 0.030469]], "network.8.bias": [-0.230648, -0.43278, -0.392864, 0.287039, -0.033068, -0.142768], "network.10.weight": [[0.148981, 0.25803, 0.164881, 0.001195, -0.115558, -0.406399], [0.278164, -0.218381, -0.035275, -0.248576, 0.107386, 0.371795], [0.462859, 0.247496, -0.157774, 0.463254, 0.339815, 0.070659], [-0.169009, 0.04156, 0.445128, 0.274852, 0.707384, -0.272295], [-0.103367, 0.577964, 0.05273, 0.67205, 0.313177, -0.505683], [-0.120206, -0.108387, -0.003975, 0.92743, 0.674516, -0.12744]], "network.10.bias": [-0.092175, -0.046176, -0.160057, -0.176839, -0.145429, -0.163868], "network.12.weight": [[-0.114112, 0.006551, -0.214992, -0.354726, -0.233935, -0.659585]], "network.12.bias": [0.27691]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6785824298858643, "train_acc": 0.585, "val_loss": 0.743622899055481, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6749285161495209, "train_acc": 0.585, "val_loss": 0.7195786833763123, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6342926323413849, "train_acc": 0.585, "val_loss": 0.6473891735076904, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5781817138195038, "train_acc": 0.51, "val_loss": 0.6040289998054504, "val_acc": 0.46}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5306335091590881, "train_acc": 0.51, "val_loss": 0.584794282913208, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5030611157417297, "train_acc": 0.8, "val_loss": 0.6175365447998047, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.43045663833618164, "train_acc": 0.85, "val_loss": 1.043210744857788, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.4132295250892639, "train_acc": 0.895, "val_loss": 1.1258372068405151, "val_acc": 0.78}], "summary": {"total_epochs": 8, "degraded_epochs": 3, "improved_epochs": 5, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.743622899055481, "final_val_loss": 0.6473891735076904, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.6040289998054504, "final_val_loss": 1.1258372068405151, "initial_val_acc": 0.46, "final_val_acc": 0.78, "best_val_acc": 0.8, "best_epoch": 6}, "improvement": 0.34, "first_improvement_epoch": 2}}
|
9,446
|
{"target_pattern": "alternating", "degraded_accuracy": 0.8, "improved_accuracy": 0.96, "improvement": 0.15999999999999992, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9008, "learning_rate": 0.051188749968593274, "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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.4.bias": [
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"network.12.bias": [
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}
## Activation Signature
### 0
mean: [-0.338852, 1.099314, -2.624133, 3.041212, -1.636939, -2.862907, -1.086051]
std: [1.929200, 1.405644, 3.471022, 2.449786, 3.156188, 1.762137, 1.887828]
pca: [[0.045748, -0.194248, 0.862073, 0.158627, 0.222491, 0.179706, 0.331732, 0.000000, 0.000000, 0.000000], [-0.168295, 0.249285, 0.024673, 0.643969, -0.172507, 0.558933, -0.389955, 0.000000, 0.000000, 0.000000], [0.686542, -0.285427, -0.332496, 0.337887, -0.117358, 0.207228, 0.407129, 0.000000, 0.000000, 0.000000], [0.140581, 0.659785, -0.073450, -0.381842, 0.252519, 0.484482, 0.308601, 0.000000, 0.000000, 0.000000], [-0.596721, -0.388709, -0.201911, -0.171332, -0.274412, 0.410439, 0.423019, 0.000000, 0.000000, 0.000000], [0.077061, -0.465939, -0.151200, -0.199382, 0.633317, 0.369685, -0.420225, 0.000000, 0.000000, 0.000000], [0.341272, -0.123071, 0.276845, -0.480691, -0.605646, 0.269270, -0.348376, 0.000000, 0.000000, 0.000000]]
fourier: [[29.411362, 29.820488, 30.496662, 32.271941, 33.786446], [21.300472, 23.665509, 24.600740, 28.715159, 98.938272], [54.395009, 55.632117, 60.938275, 63.069540, 236.171935], [37.010181, 45.472980, 45.786118, 48.873092, 273.709117], [54.902775, 58.256750, 61.406461, 67.871737, 147.324492], [29.520382, 30.859694, 31.115287, 34.379972, 257.661652], [31.063975, 31.097215, 31.896306, 32.663012, 97.744578]]
### 2
mean: [-0.440092, -1.988142, -1.401046, 2.334071, -1.033626, -1.051062, -0.086917]
std: [1.628377, 0.968671, 0.811164, 1.684824, 1.379012, 0.626974, 1.725789]
pca: [[-0.197346, 0.770431, -0.516454, 0.225297, -0.127149, 0.182898, -0.019717, 0.000000, 0.000000, 0.000000], [-0.198181, -0.353596, -0.360331, 0.216358, 0.593191, 0.358463, -0.422698, 0.000000, 0.000000, 0.000000], [-0.247801, -0.141542, -0.288561, 0.132890, 0.351401, -0.322560, 0.768183, 0.000000, 0.000000, 0.000000], [0.601831, 0.210136, 0.285611, 0.325151, 0.338936, 0.439578, 0.313430, 0.000000, 0.000000, 0.000000], [-0.449041, -0.203151, 0.329819, 0.662686, -0.381890, 0.231409, 0.098832, 0.000000, 0.000000, 0.000000], [-0.071054, -0.235202, -0.227190, -0.466156, -0.294076, 0.679979, 0.349089, 0.000000, 0.000000, 0.000000], [-0.539895, 0.347309, 0.527447, -0.350132, 0.401592, 0.157662, 0.031031, 0.000000, 0.000000, 0.000000]]
fourier: [[27.190294, 28.734735, 30.744998, 32.994097, 39.608303], [15.417180, 16.743014, 18.195068, 18.325968, 178.932737], [11.589659, 14.171810, 15.316227, 16.311711, 126.094108], [27.222318, 28.225322, 30.102593, 30.197430, 210.066358], [18.466194, 21.256612, 22.817014, 24.393674, 93.026383], [9.549798, 10.324926, 11.487813, 12.660728, 94.595601], [25.010691, 26.527593, 26.644460, 27.343649, 33.868944]]
### 4
mean: [0.578347, -0.248090, -0.427974, -1.301036, 1.501963, -1.044960, -0.502228]
std: [0.846308, 0.317607, 1.362213, 1.370556, 1.129125, 0.544190, 1.517426]
pca: [[-0.303364, 0.101232, 0.308612, -0.497812, -0.305084, 0.231798, 0.638637, 0.000000, 0.000000, 0.000000], [-0.086572, -0.237691, 0.132823, 0.583795, 0.207458, -0.380133, 0.624508, 0.000000, 0.000000, 0.000000], [0.488695, 0.237060, 0.164621, -0.150708, 0.710542, 0.318187, 0.221482, 0.000000, 0.000000, 0.000000], [0.488521, -0.104412, 0.755652, 0.023937, -0.322402, -0.209845, -0.175742, 0.000000, 0.000000, 0.000000], [-0.356378, 0.639324, 0.336732, 0.494028, -0.018698, 0.284168, -0.160330, 0.000000, 0.000000, 0.000000], [-0.042582, -0.619862, 0.105425, 0.262378, -0.042122, 0.727639, -0.052619, 0.000000, 0.000000, 0.000000], [0.542385, 0.270539, -0.405592, 0.274181, -0.502939, 0.215130, 0.306134, 0.000000, 0.000000, 0.000000]]
fourier: [[11.541101, 11.778442, 13.114184, 15.969640, 52.051188], [5.137881, 5.252221, 5.387637, 5.631242, 22.328080], [20.360375, 20.688164, 22.414208, 27.143216, 38.517628], [17.858002, 22.461056, 26.944015, 27.044467, 117.093204], [18.335114, 18.371149, 18.909243, 19.213154, 135.176694], [8.135525, 8.337263, 8.510910, 9.930380, 94.046367], [21.227738, 22.017944, 23.589542, 29.724658, 45.200502]]
### 6
mean: [-0.358269, 1.362883, -0.510982, -0.668346, 0.349233, -0.938390, -0.217464]
std: [0.402713, 1.213514, 0.487961, 1.786869, 0.861677, 0.331988, 1.805056]
pca: [[-0.118810, -0.298531, -0.517149, 0.333451, -0.538225, 0.258491, 0.402028, 0.000000, 0.000000, 0.000000], [-0.394978, 0.510764, 0.354402, 0.600367, -0.238937, -0.197996, 0.027898, 0.000000, 0.000000, 0.000000], [-0.150139, -0.311377, -0.368296, 0.533980, 0.565247, -0.263451, -0.266112, 0.000000, 0.000000, 0.000000], [0.602778, -0.102566, 0.266887, 0.284042, 0.178335, -0.256821, 0.613571, 0.000000, 0.000000, 0.000000], [0.267328, 0.544059, -0.247648, 0.203255, 0.328560, 0.649315, 0.018233, 0.000000, 0.000000, 0.000000], [-0.034851, -0.495569, 0.575893, 0.260972, 0.019457, 0.563024, -0.189903, 0.000000, 0.000000, 0.000000], [0.609356, 0.030578, -0.084281, 0.230514, -0.439984, -0.141459, -0.594906, 0.000000, 0.000000, 0.000000]]
fourier: [[5.998287, 6.192764, 6.247013, 6.990715, 32.244236], [16.506262, 17.347077, 20.288968, 23.582454, 122.659437], [7.265389, 7.297179, 7.736581, 8.869926, 45.988380], [26.875413, 26.915617, 29.093294, 35.561369, 60.151133], [11.993209, 13.935086, 13.973657, 15.446263, 31.431001], [4.725819, 4.985698, 5.031038, 5.807653, 84.455080], [24.205436, 26.959085, 27.781543, 28.261978, 35.803343]]
### 8
mean: [-0.591179, -0.503766, 0.221825, -0.623179, 0.368440, -0.784843, 0.317194]
std: [0.300569, 2.019641, 1.978618, 0.258782, 1.294926, 0.418420, 1.194814]
pca: [[-0.039476, 0.372548, 0.517112, -0.068756, 0.205531, 0.622522, 0.397165, 0.000000, 0.000000, 0.000000], [0.602497, 0.479607, 0.258077, 0.225678, -0.479913, -0.230582, -0.077174, 0.000000, 0.000000, 0.000000], [0.596507, -0.259037, 0.239849, -0.324444, 0.510985, 0.037616, -0.389573, 0.000000, 0.000000, 0.000000], [-0.030609, 0.327822, -0.303244, 0.596127, 0.331116, 0.318414, -0.482956, 0.000000, 0.000000, 0.000000], [0.384134, -0.359217, -0.131212, 0.536109, 0.233667, -0.053123, 0.601126, 0.000000, 0.000000, 0.000000], [-0.032215, 0.557795, -0.206832, -0.214799, 0.513569, -0.519861, 0.254757, 0.000000, 0.000000, 0.000000], [-0.360673, -0.128244, 0.675656, 0.387503, 0.195816, -0.428273, -0.158231, 0.000000, 0.000000, 0.000000]]
fourier: [[4.885029, 4.903825, 5.127228, 5.203167, 53.206112], [29.306592, 30.618771, 31.942294, 38.872704, 45.338963], [26.825207, 29.450824, 31.409543, 32.138718, 35.451894], [4.211599, 4.240776, 4.463311, 4.693365, 56.086081], [18.703350, 20.851624, 21.119083, 22.159225, 33.159595], [7.223212, 7.373364, 7.428597, 7.807602, 70.635871], [17.437389, 18.089464, 19.108687, 22.703501, 28.547491]]
### 10
mean: [0.634381, 0.287235, -0.467669, 0.464663, 0.678004, -0.645363, 0.561887]
std: [1.771855, 1.610098, 0.460518, 1.945723, 2.559364, 0.967563, 2.394492]
pca: [[0.370021, -0.280594, 0.632349, 0.347876, -0.492060, -0.040813, -0.140284, 0.000000, 0.000000, 0.000000], [-0.336341, 0.186688, 0.450980, -0.255251, -0.140085, -0.257165, 0.705499, 0.000000, 0.000000, 0.000000], [-0.087804, 0.850015, -0.041755, 0.393059, -0.299243, 0.094043, -0.123027, 0.000000, 0.000000, 0.000000], [-0.406586, 0.042391, 0.315861, 0.075846, 0.328418, -0.584340, -0.527312, 0.000000, 0.000000, 0.000000], [0.534774, 0.160451, 0.058536, 0.395070, 0.588856, -0.255141, 0.341931, 0.000000, 0.000000, 0.000000], [-0.202163, 0.050615, 0.492704, 0.041437, 0.439381, 0.717871, -0.060816, 0.000000, 0.000000, 0.000000], [-0.500084, -0.365768, -0.221487, 0.704119, -0.032262, 0.038295, 0.262264, 0.000000, 0.000000, 0.000000]]
fourier: [[25.302607, 28.299272, 29.137196, 29.969061, 57.094305], [23.150862, 25.810022, 25.851152, 26.250606, 27.506589], [6.585549, 6.749771, 7.001044, 7.522803, 42.090253], [28.111695, 31.293430, 31.632669, 33.565673, 41.819664], [37.131114, 41.245424, 41.511923, 44.491808, 61.020316], [13.983172, 15.560554, 15.692702, 16.679918, 58.082664], [34.879019, 38.689048, 38.694864, 41.993336, 50.569788]]
### 12
mean: [-2.303225]
std: [3.512230]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[53.783659, 54.266320, 57.359639, 62.341108, 207.290230]]
## 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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.136402,
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"network.12.bias": [
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}
## Activation Signature
### 0
mean: [-0.338852, 1.099314, -2.624133, 3.041212, -1.636939, -2.862907, -1.086051]
std: [1.929200, 1.405644, 3.471022, 2.449786, 3.156188, 1.762137, 1.887828]
pca: [[0.045748, -0.194248, 0.862073, 0.158627, 0.222491, 0.179706, 0.331732, 0.000000, 0.000000, 0.000000], [-0.168295, 0.249285, 0.024673, 0.643969, -0.172507, 0.558933, -0.389955, 0.000000, 0.000000, 0.000000], [0.686542, -0.285427, -0.332496, 0.337887, -0.117358, 0.207228, 0.407129, 0.000000, 0.000000, 0.000000], [0.140581, 0.659785, -0.073450, -0.381842, 0.252519, 0.484482, 0.308601, 0.000000, 0.000000, 0.000000], [-0.596721, -0.388709, -0.201911, -0.171332, -0.274412, 0.410439, 0.423019, 0.000000, 0.000000, 0.000000], [0.077061, -0.465939, -0.151200, -0.199382, 0.633317, 0.369685, -0.420225, 0.000000, 0.000000, 0.000000], [0.341272, -0.123071, 0.276845, -0.480691, -0.605646, 0.269270, -0.348376, 0.000000, 0.000000, 0.000000]]
fourier: [[29.411362, 29.820488, 30.496662, 32.271941, 33.786446], [21.300472, 23.665509, 24.600740, 28.715159, 98.938272], [54.395009, 55.632117, 60.938275, 63.069540, 236.171935], [37.010181, 45.472980, 45.786118, 48.873092, 273.709117], [54.902775, 58.256750, 61.406461, 67.871737, 147.324492], [29.520382, 30.859694, 31.115287, 34.379972, 257.661652], [31.063975, 31.097215, 31.896306, 32.663012, 97.744578]]
### 2
mean: [-0.440092, -1.988142, -1.401046, 2.334071, -1.033626, -1.051062, -0.086917]
std: [1.628377, 0.968671, 0.811164, 1.684824, 1.379012, 0.626974, 1.725789]
pca: [[-0.197346, 0.770431, -0.516454, 0.225297, -0.127149, 0.182898, -0.019717, 0.000000, 0.000000, 0.000000], [-0.198181, -0.353596, -0.360331, 0.216358, 0.593191, 0.358463, -0.422698, 0.000000, 0.000000, 0.000000], [-0.247801, -0.141542, -0.288561, 0.132890, 0.351401, -0.322560, 0.768183, 0.000000, 0.000000, 0.000000], [0.601831, 0.210136, 0.285611, 0.325151, 0.338936, 0.439578, 0.313430, 0.000000, 0.000000, 0.000000], [-0.449041, -0.203151, 0.329819, 0.662686, -0.381890, 0.231409, 0.098832, 0.000000, 0.000000, 0.000000], [-0.071054, -0.235202, -0.227190, -0.466156, -0.294076, 0.679979, 0.349089, 0.000000, 0.000000, 0.000000], [-0.539895, 0.347309, 0.527447, -0.350132, 0.401592, 0.157662, 0.031031, 0.000000, 0.000000, 0.000000]]
fourier: [[27.190294, 28.734735, 30.744998, 32.994097, 39.608303], [15.417180, 16.743014, 18.195068, 18.325968, 178.932737], [11.589659, 14.171810, 15.316227, 16.311711, 126.094108], [27.222318, 28.225322, 30.102593, 30.197430, 210.066358], [18.466194, 21.256612, 22.817014, 24.393674, 93.026383], [9.549798, 10.324926, 11.487813, 12.660728, 94.595601], [25.010691, 26.527593, 26.644460, 27.343649, 33.868944]]
### 4
mean: [0.578347, -0.248090, -0.427974, -1.301036, 1.501963, -1.044960, -0.502228]
std: [0.846308, 0.317607, 1.362213, 1.370556, 1.129125, 0.544190, 1.517426]
pca: [[-0.303364, 0.101232, 0.308612, -0.497812, -0.305084, 0.231798, 0.638637, 0.000000, 0.000000, 0.000000], [-0.086572, -0.237691, 0.132823, 0.583795, 0.207458, -0.380133, 0.624508, 0.000000, 0.000000, 0.000000], [0.488695, 0.237060, 0.164621, -0.150708, 0.710542, 0.318187, 0.221482, 0.000000, 0.000000, 0.000000], [0.488521, -0.104412, 0.755652, 0.023937, -0.322402, -0.209845, -0.175742, 0.000000, 0.000000, 0.000000], [-0.356378, 0.639324, 0.336732, 0.494028, -0.018698, 0.284168, -0.160330, 0.000000, 0.000000, 0.000000], [-0.042582, -0.619862, 0.105425, 0.262378, -0.042122, 0.727639, -0.052619, 0.000000, 0.000000, 0.000000], [0.542385, 0.270539, -0.405592, 0.274181, -0.502939, 0.215130, 0.306134, 0.000000, 0.000000, 0.000000]]
fourier: [[11.541101, 11.778442, 13.114184, 15.969640, 52.051188], [5.137881, 5.252221, 5.387637, 5.631242, 22.328080], [20.360375, 20.688164, 22.414208, 27.143216, 38.517628], [17.858002, 22.461056, 26.944015, 27.044467, 117.093204], [18.335114, 18.371149, 18.909243, 19.213154, 135.176694], [8.135525, 8.337263, 8.510910, 9.930380, 94.046367], [21.227738, 22.017944, 23.589542, 29.724658, 45.200502]]
### 6
mean: [-0.358269, 1.362883, -0.510982, -0.668346, 0.349233, -0.938390, -0.217464]
std: [0.402713, 1.213514, 0.487961, 1.786869, 0.861677, 0.331988, 1.805056]
pca: [[-0.118810, -0.298531, -0.517149, 0.333451, -0.538225, 0.258491, 0.402028, 0.000000, 0.000000, 0.000000], [-0.394978, 0.510764, 0.354402, 0.600367, -0.238937, -0.197996, 0.027898, 0.000000, 0.000000, 0.000000], [-0.150139, -0.311377, -0.368296, 0.533980, 0.565247, -0.263451, -0.266112, 0.000000, 0.000000, 0.000000], [0.602778, -0.102566, 0.266887, 0.284042, 0.178335, -0.256821, 0.613571, 0.000000, 0.000000, 0.000000], [0.267328, 0.544059, -0.247648, 0.203255, 0.328560, 0.649315, 0.018233, 0.000000, 0.000000, 0.000000], [-0.034851, -0.495569, 0.575893, 0.260972, 0.019457, 0.563024, -0.189903, 0.000000, 0.000000, 0.000000], [0.609356, 0.030578, -0.084281, 0.230514, -0.439984, -0.141459, -0.594906, 0.000000, 0.000000, 0.000000]]
fourier: [[5.998287, 6.192764, 6.247013, 6.990715, 32.244236], [16.506262, 17.347077, 20.288968, 23.582454, 122.659437], [7.265389, 7.297179, 7.736581, 8.869926, 45.988380], [26.875413, 26.915617, 29.093294, 35.561369, 60.151133], [11.993209, 13.935086, 13.973657, 15.446263, 31.431001], [4.725819, 4.985698, 5.031038, 5.807653, 84.455080], [24.205436, 26.959085, 27.781543, 28.261978, 35.803343]]
### 8
mean: [-0.591179, -0.503766, 0.221825, -0.623179, 0.368440, -0.784843, 0.317194]
std: [0.300569, 2.019641, 1.978618, 0.258782, 1.294926, 0.418420, 1.194814]
pca: [[-0.039476, 0.372548, 0.517112, -0.068756, 0.205531, 0.622522, 0.397165, 0.000000, 0.000000, 0.000000], [0.602497, 0.479607, 0.258077, 0.225678, -0.479913, -0.230582, -0.077174, 0.000000, 0.000000, 0.000000], [0.596507, -0.259037, 0.239849, -0.324444, 0.510985, 0.037616, -0.389573, 0.000000, 0.000000, 0.000000], [-0.030609, 0.327822, -0.303244, 0.596127, 0.331116, 0.318414, -0.482956, 0.000000, 0.000000, 0.000000], [0.384134, -0.359217, -0.131212, 0.536109, 0.233667, -0.053123, 0.601126, 0.000000, 0.000000, 0.000000], [-0.032215, 0.557795, -0.206832, -0.214799, 0.513569, -0.519861, 0.254757, 0.000000, 0.000000, 0.000000], [-0.360673, -0.128244, 0.675656, 0.387503, 0.195816, -0.428273, -0.158231, 0.000000, 0.000000, 0.000000]]
fourier: [[4.885029, 4.903825, 5.127228, 5.203167, 53.206112], [29.306592, 30.618771, 31.942294, 38.872704, 45.338963], [26.825207, 29.450824, 31.409543, 32.138718, 35.451894], [4.211599, 4.240776, 4.463311, 4.693365, 56.086081], [18.703350, 20.851624, 21.119083, 22.159225, 33.159595], [7.223212, 7.373364, 7.428597, 7.807602, 70.635871], [17.437389, 18.089464, 19.108687, 22.703501, 28.547491]]
### 10
mean: [0.634381, 0.287235, -0.467669, 0.464663, 0.678004, -0.645363, 0.561887]
std: [1.771855, 1.610098, 0.460518, 1.945723, 2.559364, 0.967563, 2.394492]
pca: [[0.370021, -0.280594, 0.632349, 0.347876, -0.492060, -0.040813, -0.140284, 0.000000, 0.000000, 0.000000], [-0.336341, 0.186688, 0.450980, -0.255251, -0.140085, -0.257165, 0.705499, 0.000000, 0.000000, 0.000000], [-0.087804, 0.850015, -0.041755, 0.393059, -0.299243, 0.094043, -0.123027, 0.000000, 0.000000, 0.000000], [-0.406586, 0.042391, 0.315861, 0.075846, 0.328418, -0.584340, -0.527312, 0.000000, 0.000000, 0.000000], [0.534774, 0.160451, 0.058536, 0.395070, 0.588856, -0.255141, 0.341931, 0.000000, 0.000000, 0.000000], [-0.202163, 0.050615, 0.492704, 0.041437, 0.439381, 0.717871, -0.060816, 0.000000, 0.000000, 0.000000], [-0.500084, -0.365768, -0.221487, 0.704119, -0.032262, 0.038295, 0.262264, 0.000000, 0.000000, 0.000000]]
fourier: [[25.302607, 28.299272, 29.137196, 29.969061, 57.094305], [23.150862, 25.810022, 25.851152, 26.250606, 27.506589], [6.585549, 6.749771, 7.001044, 7.522803, 42.090253], [28.111695, 31.293430, 31.632669, 33.565673, 41.819664], [37.131114, 41.245424, 41.511923, 44.491808, 61.020316], [13.983172, 15.560554, 15.692702, 16.679918, 58.082664], [34.879019, 38.689048, 38.694864, 41.993336, 50.569788]]
### 12
mean: [-2.303225]
std: [3.512230]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[53.783659, 54.266320, 57.359639, 62.341108, 207.290230]]
## 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
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.33885180950164795, "std": 1.9292004108428955, "pca": [0.0457480326294899, -0.19424763321876526, 0.8620728850364685, 0.15862701833248138, 0.22249114513397217, 0.1797058880329132, 0.33173227310180664, 0.0, 0.0, 0.0], "fourier": [29.41136222129826, 29.82048775901502, 30.49666204303503, 32.27194082525632, 33.78644559653917]}, "1": {"mean": 1.0993142127990723, "std": 1.4056442975997925, "pca": [-0.16829536855220795, 0.24928465485572815, 0.024672625586390495, 0.6439685821533203, -0.17250703275203705, 0.5589331388473511, -0.38995471596717834, 0.0, 0.0, 0.0], "fourier": [21.300472321644286, 23.665509272787407, 24.60073995393668, 28.71515946240602, 98.93827222287655]}, "2": {"mean": -2.6241328716278076, "std": 3.4710216522216797, "pca": [0.6865418553352356, -0.28542712330818176, -0.33249640464782715, 0.3378867208957672, -0.11735842376947403, 0.20722751319408417, 0.4071291387081146, 0.0, 0.0, 0.0], "fourier": [54.395009128976085, 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"fourier": [29.520382315152258, 30.859693837769566, 31.1152866188031, 34.37997207775066, 257.66165190935135]}, "6": {"mean": -1.0860507488250732, "std": 1.8878275156021118, "pca": [0.34127211570739746, -0.12307097762823105, 0.27684539556503296, -0.4806906580924988, -0.6056461930274963, 0.2692703604698181, -0.34837645292282104, 0.0, 0.0, 0.0], "fourier": [31.063974615938516, 31.09721535578322, 31.896306307093045, 32.66301184913998, 97.74457834661007]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "2": {"neuron_profiles": {"0": {"mean": -0.44009220600128174, "std": 1.6283774375915527, "pca": [-0.19734573364257812, 0.7704311609268188, -0.5164536833763123, 0.22529719769954681, -0.1271493285894394, 0.18289758265018463, -0.01971692219376564, 0.0, 0.0, 0.0], "fourier": [27.190294212550793, 28.734735431099992, 30.74499800156413, 32.99409655149978, 39.608302626758814]}, "1": {"mean": -1.9881415367126465, "std": 0.9686709046363831, 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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.139246, 0.60782, 0.183137, -0.596834, -0.548436], [0.247525, 0.346623, -0.362489, 0.383597, 0.140015], [0.75964, -1.324138, 0.190281, -0.802632, 0.26536], [0.223763, -0.066815, 0.613981, 0.450176, 0.762964], [-0.917555, 0.554454, -0.720222, 0.361966, -0.627076], [-0.136111, -0.530481, 0.03013, -0.267261, -0.547988], [-0.008474, -0.102712, 0.435513, -0.775012, 0.206577]], "network.0.bias": [-0.045989, -0.07843, -0.16014, -0.304402, -0.003791, -0.540829, -0.390888], "network.2.weight": [[-0.673491, -0.297764, 0.546191, 0.157825, -0.884103, -0.545672, -0.025212], [0.071849, -0.376629, -0.142729, -0.276865, -0.031986, 0.199842, 0.05979], [-0.161548, -0.358662, 0.112992, -0.213603, -0.053552, 0.273524, -0.030305], [0.81046, 0.401118, -0.575098, 0.518678, -0.038031, 0.046865, 0.234067], [-0.175078, 0.033575, 0.738637, -0.462633, 0.505874, -0.312906, 0.45529], [-0.170009, -0.066325, -0.173391, -0.169061, -0.124878, -0.280225, -0.231176], [-1.166006, 0.146995, 1.012508, -0.246917, 0.505987, -0.09047, 0.335151]], "network.2.bias": [0.029807, -0.66442, -0.212541, -0.076513, -0.164115, -0.16903, 0.477591], "network.4.weight": [[0.074155, -0.227828, 0.015722, 0.360164, -0.102565, 0.131709, -0.392213], [-0.057433, 0.003388, 0.204047, 0.00895, -0.370428, 0.015942, -0.101975], [0.421718, 0.177478, 0.291899, -0.465885, 0.259302, 0.131637, 0.489604], [0.680046, -0.019766, 0.351282, -0.618899, -0.220692, 0.113698, 0.273478], [0.133226, -0.061578, -0.114266, 0.643516, -0.254156, -0.249059, -0.097246], [-0.122472, -0.020099, 0.057186, -0.193038, -0.374023, -0.262063, -0.24326], [0.09649, 0.020941, 0.319042, -0.483998, 0.45802, 0.164982, 0.736228]], "network.4.bias": [-0.061668, -0.138335, 0.231177, -0.170718, 0.045883, -0.365805, 0.135194], "network.6.weight": [[0.209978, 0.006158, -0.233328, -0.357013, -0.087247, -0.156401, 0.029783], [0.605334, 0.127938, -0.308191, -0.133504, 0.464896, -0.333426, -0.18813], [0.313095, -0.054849, -0.146549, -0.397086, -0.108302, -0.087144, -0.098033], [-0.12477, -0.276591, 0.539566, 0.508609, -0.829221, 0.22977, 0.415337], [0.075446, -0.079931, 0.161218, 0.153362, -0.124922, -0.01437, 0.621779], [0.087895, 0.059012, 0.096636, 0.094291, -0.272495, -0.050693, -0.487782], [-0.123553, -0.346737, 0.421798, 0.430506, -0.761235, 0.315197, 0.659599]], "network.6.bias": [-0.267582, 0.421101, -0.436741, 0.278131, 0.18462, -0.453789, 0.583153], "network.8.weight": [[-0.306165, -0.242808, 0.367874, -0.301381, 0.013574, -0.165986, 0.022275], [0.148563, -0.850482, -0.123966, 0.414293, 0.671853, 0.023407, 0.285593], [-0.28261, -0.267214, -0.019966, 0.581921, 0.451221, 0.312867, 0.575706], [-0.342979, -0.242632, -0.361367, -0.000478, 0.12526, -0.18305, -0.285041], [0.136402, -0.030244, -0.119876, 0.521785, 0.377403, 0.173632, 0.264084], [0.326692, -0.419309, -0.300098, -0.094635, 0.03475, -0.0407, -0.24398], [0.108177, 0.413837, 0.363529, -0.5603, -0.298334, -0.041631, -0.01921]], "network.8.bias": [-0.13752, 0.163661, -0.094781, -0.165809, -0.073844, -0.023205, 0.059844], "network.10.weight": [[0.113679, 0.547481, 0.435953, -0.051055, 0.120859, -0.216473, -0.100278], [-0.186234, -0.064662, -0.66442, -0.223475, -0.222645, -0.113233, 0.143964], [-0.030389, -0.055372, -0.247905, -0.137531, 0.01206, -0.065815, -0.384374], [-0.167764, -0.215456, -0.59536, 0.166771, -0.388287, 0.258364, 0.264395], [0.186667, 0.470011, 0.70358, -0.096174, 0.385624, 0.341766, -0.45419], [0.288941, 0.038994, -0.399045, 0.344223, -0.218533, 0.118464, 0.121709], [-0.220024, -0.593603, -0.307056, -0.141075, -0.661566, 0.035336, 0.530855]], "network.10.bias": [0.069759, 0.759463, -0.049771, 0.974152, 0.080534, -0.386661, 1.048834], "network.12.weight": [[0.423545, -0.785711, 0.04667, -1.183118, 0.582797, 0.124995, -1.226043]], "network.12.bias": [-0.180572]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6931609511375427, "train_acc": 0.545, "val_loss": 0.6781154870986938, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6893307268619537, "train_acc": 0.545, "val_loss": 0.6764123439788818, "val_acc": 0.6}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6881699860095978, "train_acc": 0.545, "val_loss": 0.685093104839325, "val_acc": 0.5}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6808166801929474, "train_acc": 0.595, "val_loss": 0.652588427066803, "val_acc": 0.72}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6470220685005188, "train_acc": 0.715, "val_loss": 0.5808148384094238, "val_acc": 0.8}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6571711599826813, "train_acc": 0.69, "val_loss": 0.5559031963348389, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.4861934185028076, "train_acc": 0.82, "val_loss": 0.4887774586677551, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.4386308193206787, "train_acc": 0.835, "val_loss": 0.39322271943092346, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.3378894329071045, "train_acc": 0.905, "val_loss": 0.3703969717025757, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.277557373046875, "train_acc": 0.93, "val_loss": 0.3489587903022766, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.2518674284219742, "train_acc": 0.94, "val_loss": 0.3331378996372223, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.2142510712146759, "train_acc": 0.95, "val_loss": 0.38378316164016724, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.25794441252946854, "train_acc": 0.95, "val_loss": 0.3301674723625183, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.25307153165340424, "train_acc": 0.955, "val_loss": 0.2721307873725891, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.219449944794178, "train_acc": 0.96, "val_loss": 0.25175464153289795, "val_acc": 0.94}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.6781154870986938, "final_val_loss": 0.5808148384094238, "initial_val_acc": 0.6, "final_val_acc": 0.8, "best_val_acc": 0.8}, "improved_stage": {"initial_val_loss": 0.5559031963348389, "final_val_loss": 0.25175464153289795, "initial_val_acc": 0.76, "final_val_acc": 0.94, "best_val_acc": 0.96, "best_epoch": 12}, "improvement": 0.15999999999999992, "first_improvement_epoch": 4}}
|
9,447
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.5, "improved_accuracy": 0.96, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7622, "learning_rate": 0.0626997003781063, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "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: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.430026,
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0.169991,
0.937224
],
[
1.100324,
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-0.024501,
0.024664,
0.945899
],
[
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-0.027234,
-0.332189,
-0.482907,
-0.568276
],
[
-0.719432,
0.078037,
0.008532,
0.350177,
0.73633
],
[
-1.151704,
0.5879,
0.511754,
0.565173,
0.125033
],
[
0.132839,
-0.0511,
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-0.192926
]
],
"network.0.bias": [
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-0.183352,
0.226245,
1.256863,
1.027275
],
"network.2.weight": [
[
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0.0069,
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],
[
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0.128538,
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0.307257
],
[
0.541481,
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0.076001,
0.570325,
0.223601,
-0.658825
],
[
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0.350451,
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],
[
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0.472892,
-0.291166,
0.700434,
0.432635
],
[
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0.023927,
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0.39641,
0.592938
]
],
"network.2.bias": [
0.340874,
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0.1408,
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0.266762
],
"network.4.weight": [
[
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0.366035,
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],
[
0.034836,
0.184232,
-0.48568,
0.234628,
0.602934,
0.611881
],
[
0.051136,
0.285966,
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0.166003,
0.700626
],
[
0.420626,
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0.385669,
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],
[
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0.197556,
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0.123787
],
[
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0.09573,
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]
],
"network.4.bias": [
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0.061061
],
"network.6.weight": [
[
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],
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],
[
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],
[
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0.153927
],
[
0.123404,
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[
0.153095,
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]
],
"network.6.bias": [
-0.653796,
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0.039967,
0.272724,
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],
"network.8.weight": [
[
0.235504,
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]
],
"network.8.bias": [
0.343689
]
}
## Activation Signature
### 0
mean: [1.503174, 2.698880, -2.707851, 1.150051, 3.330102, 0.186486]
std: [2.069168, 3.067189, 1.805995, 2.034764, 2.742270, 1.191881]
pca: [[0.478454, 0.215600, 0.332766, 0.096302, -0.046842, 0.776143, 0.000000, 0.000000, 0.000000, 0.000000], [0.773880, 0.033798, -0.282869, 0.024707, 0.450593, -0.341041, 0.000000, 0.000000, 0.000000, 0.000000], [-0.261606, -0.398837, 0.291754, 0.029693, 0.806010, 0.191931, 0.000000, 0.000000, 0.000000, 0.000000], [-0.039307, 0.524234, 0.664085, 0.287750, 0.099445, -0.435816, 0.000000, 0.000000, 0.000000, 0.000000], [-0.319700, 0.665585, -0.507566, 0.146975, 0.348509, 0.232603, 0.000000, 0.000000, 0.000000, 0.000000], [0.000925, -0.274732, -0.159688, 0.940655, -0.117356, 0.020413, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.117156, 36.045777, 44.277344, 45.645915, 135.285643], [55.145972, 55.757688, 58.016566, 70.231123, 242.899214], [30.113326, 32.071962, 32.336195, 32.941449, 243.706612], [29.467717, 32.060758, 35.731570, 36.290987, 103.504605], [39.222981, 39.748165, 46.122057, 57.358449, 299.709233], [16.778381, 16.783763, 17.650690, 18.426862, 20.524881]]
### 2
mean: [2.880540, -2.316381, 2.231935, -1.591904, 2.858034, -2.079426]
std: [3.442320, 1.222784, 2.729442, 1.200288, 1.508255, 4.230882]
pca: [[-0.560702, -0.027598, -0.305831, 0.611061, 0.374647, 0.278503, 0.000000, 0.000000, 0.000000, 0.000000], [0.125601, -0.452455, 0.189428, -0.383564, 0.492829, 0.594663, 0.000000, 0.000000, 0.000000, 0.000000], [-0.388751, 0.618121, 0.501250, -0.265984, 0.370676, -0.086020, 0.000000, 0.000000, 0.000000, 0.000000], [0.170319, 0.068520, 0.643737, 0.501956, -0.347768, 0.423081, 0.000000, 0.000000, 0.000000, 0.000000], [0.139289, 0.575443, -0.447312, -0.208311, -0.219262, 0.598253, 0.000000, 0.000000, 0.000000, 0.000000], [0.685784, 0.276802, -0.069623, 0.336724, 0.557082, -0.156554, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[56.080168, 65.718297, 70.471035, 71.916020, 259.248636], [20.127344, 20.374992, 20.465930, 21.157826, 208.474281], [42.773040, 43.440522, 51.324314, 59.266943, 200.874112], [20.515641, 21.011434, 21.480568, 26.784786, 143.271373], [25.199334, 25.844048, 29.243323, 30.680265, 257.223084], [73.380665, 77.440066, 86.423914, 93.234090, 187.148312]]
### 4
mean: [-3.374733, 1.290069, 1.086545, -1.206207, -2.044017, 3.857304]
std: [1.418476, 1.952916, 1.008970, 3.138034, 1.261283, 4.115581]
pca: [[-0.177650, 0.581022, -0.017993, -0.292670, -0.580251, 0.456272, 0.000000, 0.000000, 0.000000, 0.000000], [-0.330812, -0.257313, 0.615929, -0.653366, 0.131405, -0.028829, 0.000000, 0.000000, 0.000000, 0.000000], [-0.162271, -0.126487, 0.633479, 0.657405, -0.329107, 0.126022, 0.000000, 0.000000, 0.000000, 0.000000], [0.520536, 0.618051, 0.453301, -0.022868, 0.214646, -0.308185, 0.000000, 0.000000, 0.000000, 0.000000], [-0.212419, 0.223903, 0.045281, 0.173757, 0.692826, 0.626496, 0.000000, 0.000000, 0.000000, 0.000000], [0.718744, -0.384818, 0.107150, -0.156722, -0.107935, 0.536311, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.088246, 22.089855, 24.108170, 28.417586, 303.726006], [31.288893, 36.798055, 37.722093, 38.142626, 116.106171], [15.838375, 16.418420, 17.593242, 18.911357, 97.789090], [52.753362, 54.830334, 61.285832, 67.276953, 108.558674], [18.083439, 22.550162, 24.570021, 27.419297, 183.961532], [62.942202, 74.536508, 83.003996, 88.970328, 347.157353]]
### 6
mean: [-2.383954, 2.685376, 0.302725, 2.104389, -0.673760, -2.084078]
std: [1.242374, 5.259596, 4.005239, 0.679949, 0.617602, 1.981051]
pca: [[-0.170599, -0.316733, 0.778552, -0.047933, 0.226234, 0.459297, 0.000000, 0.000000, 0.000000, 0.000000], [0.750232, 0.131025, -0.068866, -0.009519, -0.234350, 0.600192, 0.000000, 0.000000, 0.000000, 0.000000], [0.568432, -0.447001, 0.143693, 0.367856, 0.326521, -0.463134, 0.000000, 0.000000, 0.000000, 0.000000], [-0.020665, 0.721368, 0.216772, 0.575293, 0.317118, 0.026170, 0.000000, 0.000000, 0.000000, 0.000000], [-0.084321, -0.150567, -0.518976, -0.048503, 0.749183, 0.370479, 0.000000, 0.000000, 0.000000, 0.000000], [-0.278201, -0.373711, -0.228342, 0.727310, -0.354178, 0.276374, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.308117, 22.266123, 24.552574, 27.049377, 214.555827], [85.910439, 96.415144, 107.311419, 111.831259, 241.683860], [63.240124, 69.440161, 71.336963, 81.903289, 81.939974], [10.263673, 10.514466, 10.753701, 11.047009, 189.394968], [10.361240, 11.896033, 11.955356, 13.317532, 60.638373], [31.443304, 37.227102, 39.606125, 43.231537, 187.567073]]
### 8
mean: [-2.948897]
std: [5.925104]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[99.096038, 104.136932, 116.993346, 132.213153, 265.400728]]
## 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.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.430026,
-0.116036,
-0.081511,
0.169991,
0.937224
],
[
1.100324,
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-0.024501,
0.024664,
0.945899
],
[
-0.035779,
-0.027234,
-0.332189,
-0.482907,
-0.568276
],
[
-0.719432,
0.078037,
0.008532,
0.350177,
0.73633
],
[
-1.151704,
0.5879,
0.511754,
0.565173,
0.125033
],
[
0.132839,
-0.0511,
0.164095,
-0.47463,
-0.192926
]
],
"network.0.bias": [
-0.170703,
0.127035,
-0.183352,
0.226245,
1.256863,
1.027275
],
"network.2.weight": [
[
0.456707,
0.827511,
0.047087,
0.081184,
0.0069,
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],
[
0.095366,
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0.128538,
-0.066772,
-0.407448,
0.307257
],
[
0.541481,
0.323446,
0.076001,
0.570325,
0.223601,
-0.658825
],
[
-0.332039,
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-0.046526,
0.350451,
-0.230133,
-0.350077
],
[
-0.150019,
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0.472892,
-0.291166,
0.700434,
0.432635
],
[
-0.593719,
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0.023927,
-0.587938,
0.39641,
0.592938
]
],
"network.2.bias": [
0.340874,
-0.18763,
-0.725853,
0.1408,
0.887714,
0.266762
],
"network.4.weight": [
[
-0.351667,
0.270777,
-0.208348,
0.366035,
-0.538731,
-0.235933
],
[
0.034836,
0.184232,
-0.48568,
0.234628,
0.602934,
0.611881
],
[
0.051136,
0.285966,
-0.235897,
-0.394278,
0.166003,
0.700626
],
[
0.420626,
-0.004162,
0.179817,
0.385669,
-0.968561,
-0.528453
],
[
-0.27451,
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-0.170789,
0.197556,
-0.1717,
0.123787
],
[
0.851417,
0.250431,
0.509417,
-0.337439,
0.09573,
-0.379298
]
],
"network.4.bias": [
-0.135981,
0.228899,
0.57561,
0.209042,
-0.402856,
0.061061
],
"network.6.weight": [
[
-0.327113,
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0.063277,
0.430909,
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],
[
0.021096,
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0.797463,
0.332291,
0.809911
],
[
-0.357051,
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0.674683,
0.184665,
0.418321
],
[
0.107552,
0.637689,
0.116771,
0.062587,
0.052693,
0.153927
],
[
0.123404,
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0.114372,
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],
[
0.153095,
0.174016,
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-0.370775,
-0.373787
]
],
"network.6.bias": [
-0.653796,
0.098814,
0.039967,
0.272724,
-0.227845,
-0.206413
],
"network.8.weight": [
[
0.235504,
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-0.797654,
0.344062,
-0.008181,
0.125675
]
],
"network.8.bias": [
0.343689
]
}
## Activation Signature
### 0
mean: [1.503174, 2.698880, -2.707851, 1.150051, 3.330102, 0.186486]
std: [2.069168, 3.067189, 1.805995, 2.034764, 2.742270, 1.191881]
pca: [[0.478454, 0.215600, 0.332766, 0.096302, -0.046842, 0.776143, 0.000000, 0.000000, 0.000000, 0.000000], [0.773880, 0.033798, -0.282869, 0.024707, 0.450593, -0.341041, 0.000000, 0.000000, 0.000000, 0.000000], [-0.261606, -0.398837, 0.291754, 0.029693, 0.806010, 0.191931, 0.000000, 0.000000, 0.000000, 0.000000], [-0.039307, 0.524234, 0.664085, 0.287750, 0.099445, -0.435816, 0.000000, 0.000000, 0.000000, 0.000000], [-0.319700, 0.665585, -0.507566, 0.146975, 0.348509, 0.232603, 0.000000, 0.000000, 0.000000, 0.000000], [0.000925, -0.274732, -0.159688, 0.940655, -0.117356, 0.020413, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.117156, 36.045777, 44.277344, 45.645915, 135.285643], [55.145972, 55.757688, 58.016566, 70.231123, 242.899214], [30.113326, 32.071962, 32.336195, 32.941449, 243.706612], [29.467717, 32.060758, 35.731570, 36.290987, 103.504605], [39.222981, 39.748165, 46.122057, 57.358449, 299.709233], [16.778381, 16.783763, 17.650690, 18.426862, 20.524881]]
### 2
mean: [2.880540, -2.316381, 2.231935, -1.591904, 2.858034, -2.079426]
std: [3.442320, 1.222784, 2.729442, 1.200288, 1.508255, 4.230882]
pca: [[-0.560702, -0.027598, -0.305831, 0.611061, 0.374647, 0.278503, 0.000000, 0.000000, 0.000000, 0.000000], [0.125601, -0.452455, 0.189428, -0.383564, 0.492829, 0.594663, 0.000000, 0.000000, 0.000000, 0.000000], [-0.388751, 0.618121, 0.501250, -0.265984, 0.370676, -0.086020, 0.000000, 0.000000, 0.000000, 0.000000], [0.170319, 0.068520, 0.643737, 0.501956, -0.347768, 0.423081, 0.000000, 0.000000, 0.000000, 0.000000], [0.139289, 0.575443, -0.447312, -0.208311, -0.219262, 0.598253, 0.000000, 0.000000, 0.000000, 0.000000], [0.685784, 0.276802, -0.069623, 0.336724, 0.557082, -0.156554, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[56.080168, 65.718297, 70.471035, 71.916020, 259.248636], [20.127344, 20.374992, 20.465930, 21.157826, 208.474281], [42.773040, 43.440522, 51.324314, 59.266943, 200.874112], [20.515641, 21.011434, 21.480568, 26.784786, 143.271373], [25.199334, 25.844048, 29.243323, 30.680265, 257.223084], [73.380665, 77.440066, 86.423914, 93.234090, 187.148312]]
### 4
mean: [-3.374733, 1.290069, 1.086545, -1.206207, -2.044017, 3.857304]
std: [1.418476, 1.952916, 1.008970, 3.138034, 1.261283, 4.115581]
pca: [[-0.177650, 0.581022, -0.017993, -0.292670, -0.580251, 0.456272, 0.000000, 0.000000, 0.000000, 0.000000], [-0.330812, -0.257313, 0.615929, -0.653366, 0.131405, -0.028829, 0.000000, 0.000000, 0.000000, 0.000000], [-0.162271, -0.126487, 0.633479, 0.657405, -0.329107, 0.126022, 0.000000, 0.000000, 0.000000, 0.000000], [0.520536, 0.618051, 0.453301, -0.022868, 0.214646, -0.308185, 0.000000, 0.000000, 0.000000, 0.000000], [-0.212419, 0.223903, 0.045281, 0.173757, 0.692826, 0.626496, 0.000000, 0.000000, 0.000000, 0.000000], [0.718744, -0.384818, 0.107150, -0.156722, -0.107935, 0.536311, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.088246, 22.089855, 24.108170, 28.417586, 303.726006], [31.288893, 36.798055, 37.722093, 38.142626, 116.106171], [15.838375, 16.418420, 17.593242, 18.911357, 97.789090], [52.753362, 54.830334, 61.285832, 67.276953, 108.558674], [18.083439, 22.550162, 24.570021, 27.419297, 183.961532], [62.942202, 74.536508, 83.003996, 88.970328, 347.157353]]
### 6
mean: [-2.383954, 2.685376, 0.302725, 2.104389, -0.673760, -2.084078]
std: [1.242374, 5.259596, 4.005239, 0.679949, 0.617602, 1.981051]
pca: [[-0.170599, -0.316733, 0.778552, -0.047933, 0.226234, 0.459297, 0.000000, 0.000000, 0.000000, 0.000000], [0.750232, 0.131025, -0.068866, -0.009519, -0.234350, 0.600192, 0.000000, 0.000000, 0.000000, 0.000000], [0.568432, -0.447001, 0.143693, 0.367856, 0.326521, -0.463134, 0.000000, 0.000000, 0.000000, 0.000000], [-0.020665, 0.721368, 0.216772, 0.575293, 0.317118, 0.026170, 0.000000, 0.000000, 0.000000, 0.000000], [-0.084321, -0.150567, -0.518976, -0.048503, 0.749183, 0.370479, 0.000000, 0.000000, 0.000000, 0.000000], [-0.278201, -0.373711, -0.228342, 0.727310, -0.354178, 0.276374, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.308117, 22.266123, 24.552574, 27.049377, 214.555827], [85.910439, 96.415144, 107.311419, 111.831259, 241.683860], [63.240124, 69.440161, 71.336963, 81.903289, 81.939974], [10.263673, 10.514466, 10.753701, 11.047009, 189.394968], [10.361240, 11.896033, 11.955356, 13.317532, 60.638373], [31.443304, 37.227102, 39.606125, 43.231537, 187.567073]]
### 8
mean: [-2.948897]
std: [5.925104]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[99.096038, 104.136932, 116.993346, 132.213153, 265.400728]]
## 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.
palindrome
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.503173828125, "std": 2.0691676139831543, "pca": [0.4784540832042694, 0.21559962630271912, 0.33276551961898804, 0.09630221873521805, -0.046842172741889954, 0.7761425971984863, 0.0, 0.0, 0.0, 0.0], "fourier": [31.117155666108406, 36.04577688521097, 44.27734350839625, 45.64591457173275, 135.2856427282095]}, "1": {"mean": 2.6988799571990967, "std": 3.0671892166137695, "pca": [0.7738796472549438, 0.033798035234212875, -0.28286856412887573, 0.024707036092877388, 0.45059290528297424, -0.3410409688949585, 0.0, 0.0, 0.0, 0.0], "fourier": [55.145972241471505, 55.75768777082038, 58.016566158690665, 70.2311231198498, 242.89921403676271]}, "2": {"mean": -2.7078514099121094, "std": 1.8059945106506348, "pca": [-0.2616059482097626, -0.3988374173641205, 0.29175442457199097, 0.029692750424146652, 0.8060095310211182, 0.19193068146705627, 0.0, 0.0, 0.0, 0.0], "fourier": [30.113326006388043, 32.07196191912298, 32.336194792686285, 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0.10715049505233765, -0.1567222774028778, -0.10793472826480865, 0.5363106727600098, 0.0, 0.0, 0.0, 0.0], "fourier": [62.94220177662347, 74.53650781939248, 83.00399581707006, 88.97032824466245, 347.1573527753353]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "6": {"neuron_profiles": {"0": {"mean": -2.38395357131958, "std": 1.2423737049102783, "pca": [-0.17059947550296783, -0.31673309206962585, 0.7785518169403076, -0.047932982444763184, 0.22623373568058014, 0.4592970609664917, 0.0, 0.0, 0.0, 0.0], "fourier": [19.308116742579077, 22.26612323257891, 24.55257353016698, 27.0493773176313, 214.55582749843597]}, "1": {"mean": 2.6853764057159424, "std": 5.25959587097168, "pca": [0.7502321004867554, 0.131025493144989, -0.06886576861143112, -0.009518858045339584, -0.23435048758983612, 0.6001923680305481, 0.0, 0.0, 0.0, 0.0], "fourier": [85.91043870070007, 96.41514445285623, 107.31141902924931, 111.83125936088202, 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60.638372614979744]}, "5": {"mean": -2.084078311920166, "std": 1.981050968170166, "pca": [-0.27820104360580444, -0.3737112879753113, -0.22834207117557526, 0.7273095846176147, -0.3541783094406128, 0.2763737142086029, 0.0, 0.0, 0.0, 0.0], "fourier": [31.443304107374377, 37.22710235923616, 39.60612545144518, 43.23153672243359, 187.56707310676575]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -2.948896884918213, "std": 5.925103664398193, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [99.09603799127835, 104.13693175644849, 116.99334623350845, 132.21315346639102, 265.4007281810045]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.430026, -0.116036, -0.081511, 0.169991, 0.937224], [1.100324, 0.018787, -0.024501, 0.024664, 0.945899], [-0.035779, -0.027234, -0.332189, -0.482907, -0.568276], [-0.719432, 0.078037, 0.008532, 0.350177, 0.73633], [-1.151704, 0.5879, 0.511754, 0.565173, 0.125033], [0.132839, -0.0511, 0.164095, -0.47463, -0.192926]], "network.0.bias": [-0.170703, 0.127035, -0.183352, 0.226245, 1.256863, 1.027275], "network.2.weight": [[0.456707, 0.827511, 0.047087, 0.081184, 0.0069, -0.923849], [0.095366, -0.347745, 0.128538, -0.066772, -0.407448, 0.307257], [0.541481, 0.323446, 0.076001, 0.570325, 0.223601, -0.658825], [-0.332039, -0.257351, -0.046526, 0.350451, -0.230133, -0.350077], [-0.150019, -0.033255, 0.472892, -0.291166, 0.700434, 0.432635], [-0.593719, -0.848917, 0.023927, -0.587938, 0.39641, 0.592938]], "network.2.bias": [0.340874, -0.18763, -0.725853, 0.1408, 0.887714, 0.266762], "network.4.weight": [[-0.351667, 0.270777, -0.208348, 0.366035, -0.538731, -0.235933], [0.034836, 0.184232, -0.48568, 0.234628, 0.602934, 0.611881], [0.051136, 0.285966, -0.235897, -0.394278, 0.166003, 0.700626], [0.420626, -0.004162, 0.179817, 0.385669, -0.968561, -0.528453], [-0.27451, -0.355328, -0.170789, 0.197556, -0.1717, 0.123787], [0.851417, 0.250431, 0.509417, -0.337439, 0.09573, -0.379298]], "network.4.bias": [-0.135981, 0.228899, 0.57561, 0.209042, -0.402856, 0.061061], "network.6.weight": [[-0.327113, 0.015559, -0.302305, 0.063277, 0.430909, -0.373653], [0.021096, -0.597443, -0.232077, 0.797463, 0.332291, 0.809911], [-0.357051, -0.684212, -0.708471, 0.674683, 0.184665, 0.418321], [0.107552, 0.637689, 0.116771, 0.062587, 0.052693, 0.153927], [0.123404, -0.081089, 0.114372, -0.261308, -0.403881, -0.057998], [0.153095, 0.174016, -0.346406, -0.361921, -0.370775, -0.373787]], "network.6.bias": [-0.653796, 0.098814, 0.039967, 0.272724, -0.227845, -0.206413], "network.8.weight": [[0.235504, -0.777513, -0.797654, 0.344062, -0.008181, 0.125675]], "network.8.bias": [0.343689]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6905917227268219, "train_acc": 0.57, "val_loss": 0.7019519209861755, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6799552738666534, "train_acc": 0.575, "val_loss": 0.7043261528015137, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6844799220561981, "train_acc": 0.575, "val_loss": 0.7014248371124268, "val_acc": 0.5}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6897468864917755, "train_acc": 0.575, "val_loss": 0.6838725209236145, "val_acc": 0.5}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6580972373485565, "train_acc": 0.575, "val_loss": 0.6460337042808533, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6289414465427399, "train_acc": 0.5, "val_loss": 0.49552130699157715, "val_acc": 0.64}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.4954044222831726, "train_acc": 0.665, "val_loss": 0.35805732011795044, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.3993101269006729, "train_acc": 0.84, "val_loss": 0.27648210525512695, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.45436739921569824, "train_acc": 0.82, "val_loss": 0.282474160194397, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.37944696843624115, "train_acc": 0.85, "val_loss": 0.23304618895053864, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.33245566487312317, "train_acc": 0.84, "val_loss": 0.18887896835803986, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.29546236246824265, "train_acc": 0.88, "val_loss": 0.22451373934745789, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.33278709650039673, "train_acc": 0.86, "val_loss": 0.19779355823993683, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.3238927125930786, "train_acc": 0.865, "val_loss": 0.17903080582618713, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.3115130364894867, "train_acc": 0.87, "val_loss": 0.17918795347213745, "val_acc": 0.96}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.7019519209861755, "final_val_loss": 0.6460337042808533, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.49552130699157715, "final_val_loss": 0.17918795347213745, "initial_val_acc": 0.64, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 10}, "improvement": 0.45999999999999996, "first_improvement_epoch": 4}}
|
9,448
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.52, "improved_accuracy": 0.7, "improvement": 0.17999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9720, "learning_rate": 0.045467735844152125, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "starts_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["starts_with"], "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: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.094858,
-0.226135,
0.265147,
-0.489434,
0.43871
],
[
0.477392,
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0.059667,
0.359531,
-0.730362
],
[
0.039615,
-0.152265,
-0.326789,
-0.32497,
-0.333907
],
[
-0.016304,
0.6197,
0.151524,
0.446132,
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],
[
-0.476657,
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0.205835,
-0.740625
],
[
-0.5408,
0.01574,
-0.380481,
0.516716,
0.077087
],
[
-0.151394,
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]
],
"network.0.bias": [
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],
"network.2.weight": [
[
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[
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],
[
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0.182013,
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],
[
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],
[
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],
[
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0.026211,
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],
[
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]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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[
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[
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[
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[
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[
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[
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"network.4.bias": [
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"network.6.weight": [
[
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[
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[
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[
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[
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[
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[
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],
"network.6.bias": [
0.122269,
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"network.8.weight": [
[
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]
],
"network.8.bias": [
0.011473
]
}
## Activation Signature
### 0
mean: [-0.503601, 0.759341, -2.174093, 2.047109, -0.822548, 0.138315, 0.024171]
std: [1.483058, 1.489933, 1.332340, 1.909474, 1.973167, 1.865574, 0.731175]
pca: [[-0.452680, 0.093117, 0.073336, -0.314027, 0.638241, 0.187017, 0.489992, 0.000000, 0.000000, 0.000000], [0.291501, -0.452221, 0.333945, 0.489820, 0.330245, 0.500015, -0.001825, 0.000000, 0.000000, 0.000000], [0.013709, 0.220732, 0.719390, -0.020163, -0.475939, 0.046928, 0.452151, 0.000000, 0.000000, 0.000000], [0.503193, -0.430488, -0.305855, -0.448305, -0.159313, 0.067740, 0.486810, 0.000000, 0.000000, 0.000000], [0.548752, 0.327980, 0.344541, -0.458487, 0.364048, -0.046002, -0.357400, 0.000000, 0.000000, 0.000000], [0.349112, 0.656713, -0.373891, 0.381731, 0.065993, 0.223785, 0.326958, 0.000000, 0.000000, 0.000000], [-0.183601, 0.118070, -0.116318, -0.322724, -0.307899, 0.809953, -0.289558, 0.000000, 0.000000, 0.000000]]
fourier: [[22.913579, 23.414801, 26.779174, 32.756468, 45.324136], [23.689072, 24.382424, 26.417555, 26.768541, 68.340709], [21.547694, 21.908587, 23.279556, 23.688149, 195.668359], [30.994907, 31.790541, 35.531045, 36.837955, 184.239828], [33.084242, 36.281652, 36.331073, 43.032150, 74.029322], [25.540507, 28.048447, 32.590622, 33.367798, 37.512376], [11.080927, 11.120306, 12.430988, 12.750291, 13.308289]]
### 2
mean: [0.426000, -0.587371, 1.292262, -0.432295, 0.856444, -0.689102, 0.935890]
std: [0.541659, 0.592771, 1.609404, 0.890786, 1.089701, 0.420850, 0.653994]
pca: [[-0.060383, 0.533170, 0.111333, 0.018467, 0.407671, 0.536279, 0.495536, 0.000000, 0.000000, 0.000000], [0.088651, 0.041674, 0.913292, 0.119553, -0.315380, 0.147658, -0.144021, 0.000000, 0.000000, 0.000000], [0.760575, 0.171237, -0.117746, 0.459712, 0.240101, 0.044300, -0.327710, 0.000000, 0.000000, 0.000000], [-0.374230, -0.369561, -0.149708, 0.705707, -0.100286, 0.438008, -0.032156, 0.000000, 0.000000, 0.000000], [0.495039, -0.330132, -0.091969, -0.035433, -0.429849, 0.120183, 0.661076, 0.000000, 0.000000, 0.000000], [-0.030174, -0.349965, 0.316493, 0.273998, 0.565823, -0.497993, 0.364992, 0.000000, 0.000000, 0.000000], [-0.154914, 0.562702, -0.092737, 0.446855, -0.402130, -0.484094, 0.234592, 0.000000, 0.000000, 0.000000]]
fourier: [[8.383225, 8.798646, 8.927895, 10.475119, 38.340037], [9.296379, 9.753054, 10.995307, 12.224444, 52.863438], [21.762501, 22.716898, 26.105776, 33.672212, 116.303590], [13.471092, 14.396884, 15.724983, 18.884556, 38.906571], [15.342069, 16.783606, 17.760940, 18.096898, 77.079918], [6.163973, 7.085662, 7.100823, 7.393290, 62.019190], [10.452133, 10.668062, 11.286496, 11.441352, 84.230081]]
### 4
mean: [0.708621, 0.711782, 0.101944, 0.378919, 0.440387, 0.925295, 0.965091]
std: [1.083774, 1.126349, 0.337845, 0.718552, 0.243314, 1.176467, 1.511884]
pca: [[0.417626, -0.306714, 0.283075, -0.582827, -0.377578, 0.377762, 0.162561, 0.000000, 0.000000, 0.000000], [0.434162, 0.314824, 0.521022, 0.191431, 0.264224, -0.274417, 0.509078, 0.000000, 0.000000, 0.000000], [0.095064, 0.594567, 0.188989, 0.317639, -0.287263, 0.570278, -0.305129, 0.000000, 0.000000, 0.000000], [-0.270610, -0.375537, 0.743963, 0.168708, -0.025885, -0.145203, -0.426667, 0.000000, 0.000000, 0.000000], [-0.069632, -0.388341, -0.090051, 0.619363, -0.473597, 0.111410, 0.464668, 0.000000, 0.000000, 0.000000], [0.452846, -0.401303, -0.127100, 0.301853, 0.572725, 0.395402, -0.205573, 0.000000, 0.000000, 0.000000], [0.587288, -0.020520, -0.186932, 0.139940, -0.390029, -0.516657, -0.425544, 0.000000, 0.000000, 0.000000]]
fourier: [[15.118662, 15.196926, 18.311910, 20.784169, 63.775886], [15.335710, 16.657666, 18.121659, 18.637529, 64.060415], [4.875063, 5.184026, 5.807349, 6.008691, 9.174951], [9.847582, 10.714567, 11.198721, 11.526699, 34.102746], [3.635656, 3.845870, 3.928104, 3.942021, 39.634785], [16.226265, 16.925156, 20.182123, 22.981507, 83.276506], [20.595021, 20.807523, 25.277335, 26.993083, 86.858225]]
### 6
mean: [-0.472533, 1.082765, 1.444376, 0.544364, 0.755817, 0.665972, 1.020295]
std: [0.993705, 1.332902, 1.969172, 1.294387, 1.486561, 1.313216, 1.560454]
pca: [[-0.259282, -0.070314, -0.012982, 0.939531, 0.102457, -0.182724, -0.032499, 0.000000, 0.000000, 0.000000], [0.347573, -0.475812, 0.445725, 0.186023, -0.580210, 0.273287, 0.090509, 0.000000, 0.000000, 0.000000], [0.513961, -0.476545, -0.459881, 0.000999, 0.107791, -0.381017, -0.374785, 0.000000, 0.000000, 0.000000], [0.338046, -0.096741, -0.080673, 0.153642, 0.610332, 0.661963, 0.188554, 0.000000, 0.000000, 0.000000], [0.388000, 0.328011, -0.375723, 0.142361, -0.259600, -0.186656, 0.691519, 0.000000, 0.000000, 0.000000], [0.342485, 0.104154, 0.662129, -0.024274, 0.410817, -0.493220, 0.144277, 0.000000, 0.000000, 0.000000], [0.407056, 0.643246, 0.059833, 0.195485, -0.180478, 0.174503, -0.561891, 0.000000, 0.000000, 0.000000]]
fourier: [[13.926251, 14.183553, 17.915141, 18.782938, 42.528003], [19.411226, 20.389355, 24.000262, 26.425248, 97.448860], [28.845941, 29.173100, 35.009343, 37.760398, 129.993847], [18.752204, 19.042141, 23.037626, 25.298101, 48.992720], [21.075825, 21.339579, 26.191995, 28.288822, 68.023529], [18.256937, 19.274628, 23.699757, 26.338562, 59.937456], [21.923623, 21.948132, 27.622938, 30.209085, 91.826535]]
### 8
mean: [-2.430633]
std: [3.152033]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[48.003426, 49.492443, 59.372970, 63.045468, 218.756989]]
## 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.
|
starts_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.094858,
-0.226135,
0.265147,
-0.489434,
0.43871
],
[
0.477392,
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0.059667,
0.359531,
-0.730362
],
[
0.039615,
-0.152265,
-0.326789,
-0.32497,
-0.333907
],
[
-0.016304,
0.6197,
0.151524,
0.446132,
-0.521979
],
[
-0.476657,
0.257199,
-0.193784,
0.205835,
-0.740625
],
[
-0.5408,
0.01574,
-0.380481,
0.516716,
0.077087
],
[
-0.151394,
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0.002323,
-0.258501,
0.349222
]
],
"network.0.bias": [
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0.30872,
0.178779,
0.37427,
0.10761
],
"network.2.weight": [
[
0.328551,
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[
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],
[
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0.182013,
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],
[
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],
[
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0.057836,
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0.160332,
-0.551253,
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],
[
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0.026211,
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],
[
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0.620169,
0.411792
]
],
"network.2.bias": [
0.055941,
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0.057488,
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],
"network.4.weight": [
[
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[
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0.374365
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[
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[
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0.517678,
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[
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],
"network.4.bias": [
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"network.6.weight": [
[
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],
[
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[
0.319569,
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[
0.387786,
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0.606575
],
[
0.476503,
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[
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],
"network.6.bias": [
0.122269,
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"network.8.weight": [
[
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-0.428332,
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]
],
"network.8.bias": [
0.011473
]
}
## Activation Signature
### 0
mean: [-0.503601, 0.759341, -2.174093, 2.047109, -0.822548, 0.138315, 0.024171]
std: [1.483058, 1.489933, 1.332340, 1.909474, 1.973167, 1.865574, 0.731175]
pca: [[-0.452680, 0.093117, 0.073336, -0.314027, 0.638241, 0.187017, 0.489992, 0.000000, 0.000000, 0.000000], [0.291501, -0.452221, 0.333945, 0.489820, 0.330245, 0.500015, -0.001825, 0.000000, 0.000000, 0.000000], [0.013709, 0.220732, 0.719390, -0.020163, -0.475939, 0.046928, 0.452151, 0.000000, 0.000000, 0.000000], [0.503193, -0.430488, -0.305855, -0.448305, -0.159313, 0.067740, 0.486810, 0.000000, 0.000000, 0.000000], [0.548752, 0.327980, 0.344541, -0.458487, 0.364048, -0.046002, -0.357400, 0.000000, 0.000000, 0.000000], [0.349112, 0.656713, -0.373891, 0.381731, 0.065993, 0.223785, 0.326958, 0.000000, 0.000000, 0.000000], [-0.183601, 0.118070, -0.116318, -0.322724, -0.307899, 0.809953, -0.289558, 0.000000, 0.000000, 0.000000]]
fourier: [[22.913579, 23.414801, 26.779174, 32.756468, 45.324136], [23.689072, 24.382424, 26.417555, 26.768541, 68.340709], [21.547694, 21.908587, 23.279556, 23.688149, 195.668359], [30.994907, 31.790541, 35.531045, 36.837955, 184.239828], [33.084242, 36.281652, 36.331073, 43.032150, 74.029322], [25.540507, 28.048447, 32.590622, 33.367798, 37.512376], [11.080927, 11.120306, 12.430988, 12.750291, 13.308289]]
### 2
mean: [0.426000, -0.587371, 1.292262, -0.432295, 0.856444, -0.689102, 0.935890]
std: [0.541659, 0.592771, 1.609404, 0.890786, 1.089701, 0.420850, 0.653994]
pca: [[-0.060383, 0.533170, 0.111333, 0.018467, 0.407671, 0.536279, 0.495536, 0.000000, 0.000000, 0.000000], [0.088651, 0.041674, 0.913292, 0.119553, -0.315380, 0.147658, -0.144021, 0.000000, 0.000000, 0.000000], [0.760575, 0.171237, -0.117746, 0.459712, 0.240101, 0.044300, -0.327710, 0.000000, 0.000000, 0.000000], [-0.374230, -0.369561, -0.149708, 0.705707, -0.100286, 0.438008, -0.032156, 0.000000, 0.000000, 0.000000], [0.495039, -0.330132, -0.091969, -0.035433, -0.429849, 0.120183, 0.661076, 0.000000, 0.000000, 0.000000], [-0.030174, -0.349965, 0.316493, 0.273998, 0.565823, -0.497993, 0.364992, 0.000000, 0.000000, 0.000000], [-0.154914, 0.562702, -0.092737, 0.446855, -0.402130, -0.484094, 0.234592, 0.000000, 0.000000, 0.000000]]
fourier: [[8.383225, 8.798646, 8.927895, 10.475119, 38.340037], [9.296379, 9.753054, 10.995307, 12.224444, 52.863438], [21.762501, 22.716898, 26.105776, 33.672212, 116.303590], [13.471092, 14.396884, 15.724983, 18.884556, 38.906571], [15.342069, 16.783606, 17.760940, 18.096898, 77.079918], [6.163973, 7.085662, 7.100823, 7.393290, 62.019190], [10.452133, 10.668062, 11.286496, 11.441352, 84.230081]]
### 4
mean: [0.708621, 0.711782, 0.101944, 0.378919, 0.440387, 0.925295, 0.965091]
std: [1.083774, 1.126349, 0.337845, 0.718552, 0.243314, 1.176467, 1.511884]
pca: [[0.417626, -0.306714, 0.283075, -0.582827, -0.377578, 0.377762, 0.162561, 0.000000, 0.000000, 0.000000], [0.434162, 0.314824, 0.521022, 0.191431, 0.264224, -0.274417, 0.509078, 0.000000, 0.000000, 0.000000], [0.095064, 0.594567, 0.188989, 0.317639, -0.287263, 0.570278, -0.305129, 0.000000, 0.000000, 0.000000], [-0.270610, -0.375537, 0.743963, 0.168708, -0.025885, -0.145203, -0.426667, 0.000000, 0.000000, 0.000000], [-0.069632, -0.388341, -0.090051, 0.619363, -0.473597, 0.111410, 0.464668, 0.000000, 0.000000, 0.000000], [0.452846, -0.401303, -0.127100, 0.301853, 0.572725, 0.395402, -0.205573, 0.000000, 0.000000, 0.000000], [0.587288, -0.020520, -0.186932, 0.139940, -0.390029, -0.516657, -0.425544, 0.000000, 0.000000, 0.000000]]
fourier: [[15.118662, 15.196926, 18.311910, 20.784169, 63.775886], [15.335710, 16.657666, 18.121659, 18.637529, 64.060415], [4.875063, 5.184026, 5.807349, 6.008691, 9.174951], [9.847582, 10.714567, 11.198721, 11.526699, 34.102746], [3.635656, 3.845870, 3.928104, 3.942021, 39.634785], [16.226265, 16.925156, 20.182123, 22.981507, 83.276506], [20.595021, 20.807523, 25.277335, 26.993083, 86.858225]]
### 6
mean: [-0.472533, 1.082765, 1.444376, 0.544364, 0.755817, 0.665972, 1.020295]
std: [0.993705, 1.332902, 1.969172, 1.294387, 1.486561, 1.313216, 1.560454]
pca: [[-0.259282, -0.070314, -0.012982, 0.939531, 0.102457, -0.182724, -0.032499, 0.000000, 0.000000, 0.000000], [0.347573, -0.475812, 0.445725, 0.186023, -0.580210, 0.273287, 0.090509, 0.000000, 0.000000, 0.000000], [0.513961, -0.476545, -0.459881, 0.000999, 0.107791, -0.381017, -0.374785, 0.000000, 0.000000, 0.000000], [0.338046, -0.096741, -0.080673, 0.153642, 0.610332, 0.661963, 0.188554, 0.000000, 0.000000, 0.000000], [0.388000, 0.328011, -0.375723, 0.142361, -0.259600, -0.186656, 0.691519, 0.000000, 0.000000, 0.000000], [0.342485, 0.104154, 0.662129, -0.024274, 0.410817, -0.493220, 0.144277, 0.000000, 0.000000, 0.000000], [0.407056, 0.643246, 0.059833, 0.195485, -0.180478, 0.174503, -0.561891, 0.000000, 0.000000, 0.000000]]
fourier: [[13.926251, 14.183553, 17.915141, 18.782938, 42.528003], [19.411226, 20.389355, 24.000262, 26.425248, 97.448860], [28.845941, 29.173100, 35.009343, 37.760398, 129.993847], [18.752204, 19.042141, 23.037626, 25.298101, 48.992720], [21.075825, 21.339579, 26.191995, 28.288822, 68.023529], [18.256937, 19.274628, 23.699757, 26.338562, 59.937456], [21.923623, 21.948132, 27.622938, 30.209085, 91.826535]]
### 8
mean: [-2.430633]
std: [3.152033]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[48.003426, 49.492443, 59.372970, 63.045468, 218.756989]]
## 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.
starts_with
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.094858, -0.226135, 0.265147, -0.489434, 0.43871], [0.477392, -0.167363, 0.059667, 0.359531, -0.730362], [0.039615, -0.152265, -0.326789, -0.32497, -0.333907], [-0.016304, 0.6197, 0.151524, 0.446132, -0.521979], [-0.476657, 0.257199, -0.193784, 0.205835, -0.740625], [-0.5408, 0.01574, -0.380481, 0.516716, 0.077087], [-0.151394, 0.122786, 0.002323, -0.258501, 0.349222]], "network.0.bias": [-0.018861, 0.475375, -0.154604, 0.30872, 0.178779, 0.37427, 0.10761], "network.2.weight": [[0.328551, -0.082268, -0.114032, 0.002789, -0.071392, 0.541567, -0.225787], [-0.711841, -0.369624, -0.226618, 0.075085, -0.392731, 0.183603, -0.172384], [-0.535128, 0.391897, -0.369813, 0.471745, 0.182013, -0.147407, -0.615819], [0.400617, -0.005554, -0.050214, -0.254942, -0.523308, -0.04807, -0.006279], [-0.62649, 0.180398, 0.057836, 0.331053, 0.160332, -0.551253, -0.11188], [-0.288233, -0.094302, 0.026211, -0.162521, -0.018721, -0.211816, -0.400296], [0.365822, 0.132126, 0.334912, -0.038021, -0.29464, 0.620169, 0.411792]], "network.2.bias": [0.055941, -0.205373, 0.24077, 0.166278, 0.563883, 0.057488, 0.340641], "network.4.weight": [[-0.384019, -0.373035, 0.618254, -0.062014, 0.174463, 0.36824, -0.168665], [-0.346127, -0.385957, 0.353339, -0.16053, 0.458406, -0.061201, -0.407973], [-0.224984, -0.084727, -0.040296, -0.255447, 0.114544, 0.345708, -0.223203], [0.104642, -0.242142, -0.179712, 0.566252, -0.234129, -0.365134, 0.374365], [-0.188407, 0.275841, -0.029669, 0.072247, 0.030304, -0.056101, 0.426398], [-0.258299, -0.133385, 0.430383, -0.158635, 0.635157, 0.517678, -0.030472], [-0.521213, -0.226789, 0.576342, -0.500562, 0.566161, -0.018119, -0.262054]], "network.4.bias": [-0.040132, 0.212285, 0.367678, 0.4074, 0.191992, -0.082871, 0.030806], "network.6.weight": [[0.243379, -0.005934, 0.245164, 0.006185, 0.673427, -0.503681, -0.479409], [0.417334, 0.114898, -0.062824, -0.139081, -0.037174, 0.097619, 0.540861], [0.319569, 0.529304, 0.351195, -0.357874, 0.148443, 0.171146, 0.658409], [0.387786, 0.652263, -0.258553, -0.321749, 0.012181, 0.073699, 0.121589], [0.211704, 0.182942, 0.117254, -0.475965, 0.003551, 0.121641, 0.606575], [0.476503, 0.149963, -0.155379, -0.182976, -0.301184, 0.512649, 0.066817], [0.248951, 0.20203, -0.321136, -0.531182, -0.212774, 0.3521, 0.423251]], "network.6.bias": [0.122269, 0.046604, -0.059422, -0.328275, -0.171611, -0.199216, 0.167522], "network.8.weight": [[0.094775, -0.211633, -0.621028, -0.287469, -0.428332, -0.355112, -0.332054]], "network.8.bias": [0.011473]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6855820715427399, "train_acc": 0.565, "val_loss": 0.6795517206192017, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6416929066181183, "train_acc": 0.565, "val_loss": 0.6757051944732666, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6462324857711792, "train_acc": 0.565, "val_loss": 0.6330129504203796, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6036555469036102, "train_acc": 0.54, "val_loss": 0.5531001091003418, "val_acc": 0.66}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5266889333724976, "train_acc": 0.725, "val_loss": 0.5294409394264221, "val_acc": 0.7}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.49697476625442505, "train_acc": 0.765, "val_loss": 0.5541471242904663, "val_acc": 0.7}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5177468955516815, "train_acc": 0.76, "val_loss": 0.5524415373802185, "val_acc": 0.7}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.5103165656328201, "train_acc": 0.74, "val_loss": 0.5378215312957764, "val_acc": 0.7}], "summary": {"total_epochs": 8, "degraded_epochs": 3, "improved_epochs": 5, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.6795517206192017, "final_val_loss": 0.6330129504203796, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.5531001091003418, "final_val_loss": 0.5378215312957764, "initial_val_acc": 0.66, "final_val_acc": 0.7, "best_val_acc": 0.7, "best_epoch": 4}, "improvement": 0.17999999999999994, "first_improvement_epoch": 2}}
|
9,449
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.66, "improved_accuracy": 0.84, "improvement": 0.17999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9157, "learning_rate": 0.07743819415924892, "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: 5
Neurons per Layer: 5
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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-0.150711
],
[
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],
[
1.061213,
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]
],
"network.0.bias": [
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],
"network.2.weight": [
[
-0.163032,
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-0.316705,
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],
[
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],
[
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],
[
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0.539779,
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],
[
-0.191759,
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],
"network.2.bias": [
0.664267,
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0.120234,
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],
"network.4.weight": [
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],
[
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[
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[
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[
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"network.4.bias": [
0.538365,
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"network.6.weight": [
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[
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[
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[
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]
],
"network.6.bias": [
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],
"network.8.weight": [
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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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1.016229,
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],
"network.10.bias": [
0.247908
]
}
## Activation Signature
### 0
mean: [0.844645, -2.589774, 1.878581, -0.649431, 1.542928]
std: [1.590599, 2.403302, 2.650729, 1.709281, 2.511237]
pca: [[0.205032, -0.411566, 0.538541, 0.703024, -0.065616, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.248915, 0.839594, -0.076868, 0.470914, -0.073847, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.661459, -0.094863, -0.026407, -0.292032, -0.683734, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.259812, 0.339022, 0.809734, -0.362364, -0.174887, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.625278, 0.041944, 0.218400, -0.259628, 0.701543, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.338484, 26.366066, 31.497324, 33.765255, 76.018080], [35.004820, 36.562292, 37.993309, 41.466130, 233.079665], [45.426958, 50.214970, 51.576076, 52.002465, 169.072322], [26.177467, 28.591046, 30.295555, 31.294927, 58.448750], [40.711356, 43.381288, 50.317010, 51.853316, 138.863540]]
### 2
mean: [-0.366387, 1.457316, 2.218505, -1.389436, -0.751560]
std: [1.591727, 3.077265, 2.629564, 2.463442, 2.228698]
pca: [[-0.294006, 0.156806, 0.343101, -0.434962, 0.762930, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.554532, 0.779163, 0.282417, 0.066011, -0.035818, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.475849, -0.575023, 0.662173, -0.059455, -0.030125, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.457208, 0.090746, 0.475121, 0.746124, 0.016868, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.413017, 0.171554, 0.371899, -0.496201, -0.644564, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.024990, 28.934018, 31.734764, 32.974825, 33.842105], [47.772406, 57.664270, 58.429851, 67.200823, 131.158405], [46.374867, 46.996684, 50.656927, 59.223680, 199.665476], [39.933616, 46.667709, 49.453007, 52.231869, 125.049284], [37.725250, 41.385457, 44.200067, 47.337472, 67.640431]]
### 4
mean: [3.023826, -0.406895, -0.861728, 0.469920, 0.127613]
std: [4.529695, 0.891538, 1.357340, 0.583999, 1.271197]
pca: [[0.913320, 0.178821, -0.113560, 0.314030, 0.149531, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.175042, 0.075204, 0.909255, -0.315340, 0.193701, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.273101, -0.134129, 0.074023, 0.518578, 0.795627, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.069587, 0.668416, -0.311242, -0.502959, 0.445576, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.236181, 0.705405, 0.240848, 0.529202, -0.329484, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[79.122196, 81.060913, 90.867342, 97.974754, 272.144390], [14.446664, 17.056256, 17.106249, 17.671678, 36.620570], [23.992792, 24.285129, 26.620455, 29.496112, 77.555549], [8.851702, 10.313288, 11.058081, 11.791857, 42.292812], [18.855234, 19.451502, 24.453441, 24.964756, 27.987085]]
### 6
mean: [0.943152, 2.508216, -0.489921, 2.194158, -0.846061]
std: [2.369955, 3.984764, 2.827544, 4.068161, 0.268483]
pca: [[0.349489, 0.018750, 0.676653, 0.404384, -0.506083, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.587362, -0.359945, -0.071377, 0.388861, 0.607567, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.415788, -0.587697, -0.322057, 0.524964, -0.320040, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.599965, -0.059705, -0.550535, -0.247439, -0.521693, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.005085, 0.721897, -0.360883, 0.590295, 0.012392, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[40.205744, 42.402838, 47.461806, 51.143540, 84.883676], [68.308358, 72.570159, 78.847201, 86.796876, 225.739417], [47.106630, 48.260135, 49.778844, 58.407597, 60.721935], [68.958139, 73.795009, 81.571901, 88.745629, 197.474215], [3.873065, 4.210175, 4.473088, 4.683402, 76.145475]]
### 8
mean: [1.390199, 3.029302, 3.813764, -4.744648, 0.626694]
std: [4.073763, 5.719326, 6.808894, 9.218892, 2.792025]
pca: [[-0.295850, 0.608359, -0.400653, -0.437013, 0.436886, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.416986, -0.126032, 0.159244, 0.606473, 0.645810, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.496402, -0.179968, 0.659402, -0.534913, -0.015903, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.672088, 0.270173, 0.511954, -0.096921, 0.451458, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.201192, 0.713185, 0.342360, 0.381687, -0.433582, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[68.475827, 72.960842, 82.365993, 89.274464, 125.117871], [98.746912, 106.932311, 112.043230, 124.635294, 272.637219], [117.853264, 127.291528, 133.120070, 148.507779, 343.238801], [158.977690, 172.581791, 180.497071, 200.515949, 427.018256], [47.029330, 48.430791, 56.402476, 56.991676, 61.407788]]
### 10
mean: [-4.655892]
std: [9.571709]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[166.027482, 179.135800, 187.311549, 208.726076, 419.030349]]
## 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: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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],
[
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],
[
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],
[
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],
[
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],
"network.0.bias": [
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],
"network.2.weight": [
[
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],
[
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],
[
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],
[
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],
[
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]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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],
[
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-0.310931,
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],
[
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-0.238188,
0.23076,
0.227954
],
[
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0.24352,
0.228647,
0.68139
],
[
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0.513805,
0.841642
]
],
"network.4.bias": [
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-0.961468,
-0.004727,
-0.061418,
0.024923
],
"network.6.weight": [
[
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-0.517767,
-0.142934,
-0.266002
],
[
0.845725,
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],
[
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0.23367,
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0.55709
],
[
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],
[
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]
],
"network.6.bias": [
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],
"network.8.weight": [
[
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0.25641,
-0.886618,
0.401152,
-0.459549
],
[
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0.47744,
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0.703213,
0.117544
],
[
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-0.29303
],
[
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0.795528,
-1.062223,
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],
[
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0.307906,
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]
],
"network.8.bias": [
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-0.261272,
-0.336536,
0.438456,
-0.384719
],
"network.10.weight": [
[
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-0.46953,
-0.603112,
1.016229,
-0.437221
]
],
"network.10.bias": [
0.247908
]
}
## Activation Signature
### 0
mean: [0.844645, -2.589774, 1.878581, -0.649431, 1.542928]
std: [1.590599, 2.403302, 2.650729, 1.709281, 2.511237]
pca: [[0.205032, -0.411566, 0.538541, 0.703024, -0.065616, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.248915, 0.839594, -0.076868, 0.470914, -0.073847, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.661459, -0.094863, -0.026407, -0.292032, -0.683734, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.259812, 0.339022, 0.809734, -0.362364, -0.174887, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.625278, 0.041944, 0.218400, -0.259628, 0.701543, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.338484, 26.366066, 31.497324, 33.765255, 76.018080], [35.004820, 36.562292, 37.993309, 41.466130, 233.079665], [45.426958, 50.214970, 51.576076, 52.002465, 169.072322], [26.177467, 28.591046, 30.295555, 31.294927, 58.448750], [40.711356, 43.381288, 50.317010, 51.853316, 138.863540]]
### 2
mean: [-0.366387, 1.457316, 2.218505, -1.389436, -0.751560]
std: [1.591727, 3.077265, 2.629564, 2.463442, 2.228698]
pca: [[-0.294006, 0.156806, 0.343101, -0.434962, 0.762930, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.554532, 0.779163, 0.282417, 0.066011, -0.035818, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.475849, -0.575023, 0.662173, -0.059455, -0.030125, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.457208, 0.090746, 0.475121, 0.746124, 0.016868, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.413017, 0.171554, 0.371899, -0.496201, -0.644564, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.024990, 28.934018, 31.734764, 32.974825, 33.842105], [47.772406, 57.664270, 58.429851, 67.200823, 131.158405], [46.374867, 46.996684, 50.656927, 59.223680, 199.665476], [39.933616, 46.667709, 49.453007, 52.231869, 125.049284], [37.725250, 41.385457, 44.200067, 47.337472, 67.640431]]
### 4
mean: [3.023826, -0.406895, -0.861728, 0.469920, 0.127613]
std: [4.529695, 0.891538, 1.357340, 0.583999, 1.271197]
pca: [[0.913320, 0.178821, -0.113560, 0.314030, 0.149531, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.175042, 0.075204, 0.909255, -0.315340, 0.193701, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.273101, -0.134129, 0.074023, 0.518578, 0.795627, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.069587, 0.668416, -0.311242, -0.502959, 0.445576, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.236181, 0.705405, 0.240848, 0.529202, -0.329484, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[79.122196, 81.060913, 90.867342, 97.974754, 272.144390], [14.446664, 17.056256, 17.106249, 17.671678, 36.620570], [23.992792, 24.285129, 26.620455, 29.496112, 77.555549], [8.851702, 10.313288, 11.058081, 11.791857, 42.292812], [18.855234, 19.451502, 24.453441, 24.964756, 27.987085]]
### 6
mean: [0.943152, 2.508216, -0.489921, 2.194158, -0.846061]
std: [2.369955, 3.984764, 2.827544, 4.068161, 0.268483]
pca: [[0.349489, 0.018750, 0.676653, 0.404384, -0.506083, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.587362, -0.359945, -0.071377, 0.388861, 0.607567, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.415788, -0.587697, -0.322057, 0.524964, -0.320040, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.599965, -0.059705, -0.550535, -0.247439, -0.521693, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.005085, 0.721897, -0.360883, 0.590295, 0.012392, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[40.205744, 42.402838, 47.461806, 51.143540, 84.883676], [68.308358, 72.570159, 78.847201, 86.796876, 225.739417], [47.106630, 48.260135, 49.778844, 58.407597, 60.721935], [68.958139, 73.795009, 81.571901, 88.745629, 197.474215], [3.873065, 4.210175, 4.473088, 4.683402, 76.145475]]
### 8
mean: [1.390199, 3.029302, 3.813764, -4.744648, 0.626694]
std: [4.073763, 5.719326, 6.808894, 9.218892, 2.792025]
pca: [[-0.295850, 0.608359, -0.400653, -0.437013, 0.436886, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.416986, -0.126032, 0.159244, 0.606473, 0.645810, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.496402, -0.179968, 0.659402, -0.534913, -0.015903, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.672088, 0.270173, 0.511954, -0.096921, 0.451458, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.201192, 0.713185, 0.342360, 0.381687, -0.433582, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[68.475827, 72.960842, 82.365993, 89.274464, 125.117871], [98.746912, 106.932311, 112.043230, 124.635294, 272.637219], [117.853264, 127.291528, 133.120070, 148.507779, 343.238801], [158.977690, 172.581791, 180.497071, 200.515949, 427.018256], [47.029330, 48.430791, 56.402476, 56.991676, 61.407788]]
### 10
mean: [-4.655892]
std: [9.571709]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[166.027482, 179.135800, 187.311549, 208.726076, 419.030349]]
## 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
|
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"precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.513225, -0.38053, 0.032188, 0.417777, 0.425428], [0.482957, -0.322215, 0.152852, -0.772769, -0.611352], [1.129784, 0.006463, 0.448858, 0.051386, -0.150711], [-0.656156, -0.010866, 0.068054, -0.569774, 0.382086], [1.061213, -0.010657, 0.381267, -0.172977, -0.033018]], "network.0.bias": [-0.588455, -0.511769, -0.401083, 0.795372, -0.143036], "network.2.weight": [[-0.163032, -0.364961, -0.316705, 0.333381, -0.223858], [-0.57861, 0.211478, 0.547459, -0.187584, 0.826777], [0.593616, 0.193436, 0.190714, 0.154798, 0.665626], [-0.131121, -0.65957, -0.343344, 0.539779, -0.544948], [-0.191759, -0.432499, -0.399752, 0.428454, -0.381496]], "network.2.bias": [0.664267, -0.315156, 0.134028, 0.120234, 0.694539], "network.4.weight": [[-0.481026, 0.870584, 0.658275, -0.389959, -0.971263], [0.472338, 0.354344, -0.039677, -0.310931, -0.291874], [-0.037419, -0.240396, -0.238188, 0.23076, 0.227954], [0.570417, -0.219199, 0.24352, 0.228647, 0.68139], [0.756359, -0.273545, 0.029558, 0.513805, 0.841642]], "network.4.bias": [0.538365, -0.961468, -0.004727, -0.061418, 0.024923], "network.6.weight": [[0.456012, 0.392542, -0.517767, -0.142934, -0.266002], [0.845725, 0.208352, -0.677218, -0.058578, -0.324141], [-0.497716, -0.509102, 0.23367, 0.410635, 0.55709], [0.829789, 0.268262, -0.13361, -0.033643, -0.634025], [-0.089583, 0.267362, -0.055445, -0.102246, -0.379582]], "network.6.bias": [-0.372834, -0.046424, 0.715423, -0.169258, -0.354992], "network.8.weight": [[0.485711, 0.25641, -0.886618, 0.401152, -0.459549], [0.461733, 0.47744, -0.484929, 0.703213, 0.117544], [0.386641, 0.904647, -0.486721, 0.600667, -0.29303], [-1.101713, -0.641632, 0.795528, -1.062223, -0.397548], [0.049328, 0.307906, -0.77404, 0.263751, -0.29876]], "network.8.bias": [-0.325512, -0.261272, -0.336536, 0.438456, -0.384719], "network.10.weight": [[-0.448078, -0.46953, -0.603112, 1.016229, -0.437221]], "network.10.bias": [0.247908]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6924740076065063, "train_acc": 0.54, "val_loss": 0.6790474057197571, "val_acc": 0.66}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6904934942722321, "train_acc": 0.54, "val_loss": 0.6751192212104797, "val_acc": 0.66}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6871064603328705, "train_acc": 0.54, "val_loss": 0.662875235080719, "val_acc": 0.66}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6805806457996368, "train_acc": 0.54, "val_loss": 0.6322453618049622, "val_acc": 0.66}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6524454653263092, "train_acc": 0.535, "val_loss": 0.507775068283081, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.48224470019340515, "train_acc": 0.745, "val_loss": 0.4259203374385834, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.35548341274261475, "train_acc": 0.86, "val_loss": 0.624792754650116, "val_acc": 0.76}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.4041118323802948, "train_acc": 0.87, "val_loss": 0.4815758466720581, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.23210379481315613, "train_acc": 0.92, "val_loss": 0.6222017407417297, "val_acc": 0.8}], "summary": {"total_epochs": 9, "degraded_epochs": 4, "improved_epochs": 5, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6790474057197571, "final_val_loss": 0.6322453618049622, "initial_val_acc": 0.66, "final_val_acc": 0.66, "best_val_acc": 0.66}, "improved_stage": {"initial_val_loss": 0.507775068283081, "final_val_loss": 0.6222017407417297, "initial_val_acc": 0.72, "final_val_acc": 0.8, "best_val_acc": 0.84, "best_epoch": 7}, "improvement": 0.17999999999999994, "first_improvement_epoch": 3}}
|
9,450
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.62, "improved_accuracy": 0.78, "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": 2905, "learning_rate": 0.04960531599142533, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "starts_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["starts_with"], "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
mean: [0.774532, -2.059570, -0.020343, 1.992416, 0.010525, 1.826401, -0.022241, -1.222366]
std: [1.384128, 2.625283, 1.650195, 1.841264, 1.179200, 1.939920, 1.325386, 1.793801]
pca: [[-0.341313, -0.046853, -0.012461, 0.309647, 0.658203, 0.243841, -0.540815, 0.010172, 0.000000, 0.000000], [0.377705, 0.817860, 0.055659, 0.245390, -0.094480, 0.269348, -0.161051, 0.133110, 0.000000, 0.000000], [-0.363641, 0.092705, 0.517588, -0.310374, -0.234552, 0.511574, -0.030891, -0.421028, 0.000000, 0.000000], [0.479721, -0.261967, 0.186449, -0.459881, 0.311348, 0.417382, 0.027499, 0.427885, 0.000000, 0.000000], [-0.122054, 0.307329, -0.041010, -0.049198, 0.571525, 0.018334, 0.723447, -0.190254, 0.000000, 0.000000], [0.299602, -0.120952, 0.771625, 0.331427, 0.161157, -0.381733, 0.014848, -0.135825, 0.000000, 0.000000], [-0.304575, -0.169875, 0.165977, 0.511639, -0.225251, 0.321553, 0.377069, 0.541053, 0.000000, 0.000000], [-0.425503, 0.337271, 0.263537, -0.402542, 0.050401, -0.427346, -0.118717, 0.523874, 0.000000, 0.000000]]
fourier: [[20.890124, 23.023333, 23.189532, 24.563332, 69.707840], [37.152541, 37.376431, 40.649695, 44.277265, 185.361320], [22.106500, 28.901119, 28.925272, 30.404876, 32.108319], [30.061601, 31.206621, 32.023936, 36.040661, 179.317395], [18.566849, 19.040107, 20.567090, 20.795649, 29.781639], [29.907268, 30.064292, 30.781218, 40.659813, 164.376090], [21.477918, 21.689063, 22.712189, 22.870666, 24.580975], [28.610306, 29.892185, 29.988724, 31.457888, 110.012936]]
### 2
mean: [0.087422, -0.201444, 1.034421, 1.142106, -0.456721, -3.965781, -0.047289, -0.763137]
std: [0.837170, 0.809507, 1.391681, 2.309561, 0.710229, 1.963329, 0.842187, 1.045186]
pca: [[-0.119323, 0.051683, 0.201176, 0.669830, -0.464877, -0.037929, 0.371447, -0.372055, 0.000000, 0.000000], [0.007748, -0.303838, 0.336029, 0.130969, -0.392307, 0.028581, -0.074512, 0.785672, 0.000000, 0.000000], [0.188786, -0.544366, 0.459401, 0.008223, 0.100051, -0.339086, -0.425604, -0.388306, 0.000000, 0.000000], [0.687545, 0.595672, 0.380263, -0.022929, -0.088409, 0.063520, -0.124243, 0.006526, 0.000000, 0.000000], [-0.232749, 0.019483, 0.137752, 0.222981, 0.088672, 0.791309, -0.478773, -0.116172, 0.000000, 0.000000], [-0.610052, 0.397562, 0.371419, -0.396334, -0.276569, -0.237121, -0.188603, -0.080383, 0.000000, 0.000000], [0.005065, -0.214878, 0.486101, -0.387963, 0.170123, 0.375221, 0.622930, -0.096005, 0.000000, 0.000000], [-0.225793, 0.221911, 0.312635, 0.419840, 0.706303, -0.235677, 0.084044, 0.253566, 0.000000, 0.000000]]
fourier: [[11.687909, 13.026120, 14.567929, 15.859115, 18.378614], [14.860564, 15.374792, 15.933329, 16.162723, 18.129972], [21.837909, 24.890239, 25.054281, 32.015403, 93.097908], [34.153528, 36.299612, 39.658419, 46.260080, 102.789514], [10.958383, 12.118463, 12.218693, 14.595224, 41.104895], [29.281168, 30.796578, 38.496740, 40.625420, 356.920259], [13.049228, 14.401448, 15.186384, 15.315885, 15.906677], [17.392299, 17.486496, 18.887851, 20.948592, 68.682343]]
### 4
mean: [-1.229296, 1.669171, -0.220498, -0.398406, 0.492846, -0.346318, -1.075477, -0.119360]
std: [0.844497, 1.771009, 1.148635, 0.794060, 0.855628, 1.064476, 0.720281, 1.187436]
pca: [[-0.076531, 0.695943, -0.087450, -0.336717, 0.206385, 0.549807, 0.198706, -0.066432, 0.000000, 0.000000], [0.623937, -0.041949, 0.072209, 0.399002, 0.576586, 0.159329, -0.042011, -0.291417, 0.000000, 0.000000], [-0.403291, -0.053263, 0.014451, 0.482782, -0.127750, 0.086550, 0.587940, -0.481402, 0.000000, 0.000000], [-0.222408, 0.300209, 0.842111, 0.035160, 0.088400, -0.214505, -0.261149, -0.167323, 0.000000, 0.000000], [0.286824, -0.178198, 0.404969, 0.133585, -0.517909, 0.617456, 0.045311, 0.229342, 0.000000, 0.000000], [-0.367279, -0.179926, 0.130458, 0.225649, 0.516870, 0.158089, 0.176384, 0.664483, 0.000000, 0.000000], [-0.201956, 0.344135, -0.309724, 0.599618, -0.166958, 0.135640, -0.575417, 0.089082, 0.000000, 0.000000], [-0.367135, -0.488246, -0.028826, -0.254558, 0.193803, 0.440660, -0.424982, -0.385807, 0.000000, 0.000000]]
fourier: [[13.771896, 15.160054, 16.015008, 18.625849, 110.636672], [27.739834, 28.127185, 31.654875, 36.445032, 150.225352], [18.505571, 19.844843, 19.943272, 21.107096, 22.385148], [12.843043, 13.585496, 13.653144, 15.580678, 35.856568], [13.904612, 14.053311, 14.479044, 18.543017, 44.356107], [17.935337, 19.062349, 19.326731, 19.730794, 31.168596], [11.836459, 12.139265, 12.178331, 15.082023, 96.792899], [19.489705, 19.967423, 20.292002, 21.461630, 21.560712]]
### 6
mean: [-1.297478, -0.679695, -0.373622, 2.023577, 1.690700, 1.331065, -0.210497, -0.690664]
std: [0.773145, 0.966726, 1.056591, 2.536319, 2.076876, 1.669498, 0.269798, 0.920442]
pca: [[-0.077491, 0.849865, -0.054851, -0.216382, 0.322009, 0.067278, 0.279036, -0.189254, 0.000000, 0.000000], [-0.229274, 0.324210, -0.092612, 0.343103, -0.447215, -0.135459, 0.203595, 0.675443, 0.000000, 0.000000], [-0.254103, -0.288885, 0.079547, 0.351272, 0.657007, -0.206257, 0.479708, 0.133931, 0.000000, 0.000000], [0.626550, -0.145099, -0.067329, -0.160430, -0.116001, 0.339891, 0.635018, 0.154536, 0.000000, 0.000000], [0.512363, 0.165779, 0.224156, -0.007824, 0.427827, -0.106514, -0.437965, 0.522972, 0.000000, 0.000000], [0.410247, 0.197487, 0.097886, 0.753065, -0.119530, -0.133131, -0.005217, -0.428917, 0.000000, 0.000000], [-0.055701, -0.009495, -0.663656, 0.305038, 0.231132, 0.590271, -0.234108, 0.081684, 0.000000, 0.000000], [-0.224443, 0.039168, 0.690860, 0.161598, -0.021185, 0.664506, -0.025951, 0.044715, 0.000000, 0.000000]]
fourier: [[12.605232, 13.024385, 14.629061, 15.812498, 116.773057], [14.472253, 15.211613, 16.780866, 19.577758, 61.172537], [18.313465, 18.436813, 19.851301, 20.614112, 33.625953], [41.495100, 43.852713, 46.532744, 49.425054, 182.121910], [34.682382, 38.257217, 38.344466, 38.626148, 152.163019], [27.594039, 30.382149, 30.772689, 32.227725, 119.795868], [4.550022, 4.597291, 5.169008, 5.371736, 18.944748], [15.413187, 15.969295, 16.634119, 17.125225, 62.159781]]
### 8
mean: [-3.993230]
std: [4.325010]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[62.722610, 74.042354, 76.433995, 88.594593, 359.390689]]
## 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.
|
starts_with
|
## 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
mean: [0.774532, -2.059570, -0.020343, 1.992416, 0.010525, 1.826401, -0.022241, -1.222366]
std: [1.384128, 2.625283, 1.650195, 1.841264, 1.179200, 1.939920, 1.325386, 1.793801]
pca: [[-0.341313, -0.046853, -0.012461, 0.309647, 0.658203, 0.243841, -0.540815, 0.010172, 0.000000, 0.000000], [0.377705, 0.817860, 0.055659, 0.245390, -0.094480, 0.269348, -0.161051, 0.133110, 0.000000, 0.000000], [-0.363641, 0.092705, 0.517588, -0.310374, -0.234552, 0.511574, -0.030891, -0.421028, 0.000000, 0.000000], [0.479721, -0.261967, 0.186449, -0.459881, 0.311348, 0.417382, 0.027499, 0.427885, 0.000000, 0.000000], [-0.122054, 0.307329, -0.041010, -0.049198, 0.571525, 0.018334, 0.723447, -0.190254, 0.000000, 0.000000], [0.299602, -0.120952, 0.771625, 0.331427, 0.161157, -0.381733, 0.014848, -0.135825, 0.000000, 0.000000], [-0.304575, -0.169875, 0.165977, 0.511639, -0.225251, 0.321553, 0.377069, 0.541053, 0.000000, 0.000000], [-0.425503, 0.337271, 0.263537, -0.402542, 0.050401, -0.427346, -0.118717, 0.523874, 0.000000, 0.000000]]
fourier: [[20.890124, 23.023333, 23.189532, 24.563332, 69.707840], [37.152541, 37.376431, 40.649695, 44.277265, 185.361320], [22.106500, 28.901119, 28.925272, 30.404876, 32.108319], [30.061601, 31.206621, 32.023936, 36.040661, 179.317395], [18.566849, 19.040107, 20.567090, 20.795649, 29.781639], [29.907268, 30.064292, 30.781218, 40.659813, 164.376090], [21.477918, 21.689063, 22.712189, 22.870666, 24.580975], [28.610306, 29.892185, 29.988724, 31.457888, 110.012936]]
### 2
mean: [0.087422, -0.201444, 1.034421, 1.142106, -0.456721, -3.965781, -0.047289, -0.763137]
std: [0.837170, 0.809507, 1.391681, 2.309561, 0.710229, 1.963329, 0.842187, 1.045186]
pca: [[-0.119323, 0.051683, 0.201176, 0.669830, -0.464877, -0.037929, 0.371447, -0.372055, 0.000000, 0.000000], [0.007748, -0.303838, 0.336029, 0.130969, -0.392307, 0.028581, -0.074512, 0.785672, 0.000000, 0.000000], [0.188786, -0.544366, 0.459401, 0.008223, 0.100051, -0.339086, -0.425604, -0.388306, 0.000000, 0.000000], [0.687545, 0.595672, 0.380263, -0.022929, -0.088409, 0.063520, -0.124243, 0.006526, 0.000000, 0.000000], [-0.232749, 0.019483, 0.137752, 0.222981, 0.088672, 0.791309, -0.478773, -0.116172, 0.000000, 0.000000], [-0.610052, 0.397562, 0.371419, -0.396334, -0.276569, -0.237121, -0.188603, -0.080383, 0.000000, 0.000000], [0.005065, -0.214878, 0.486101, -0.387963, 0.170123, 0.375221, 0.622930, -0.096005, 0.000000, 0.000000], [-0.225793, 0.221911, 0.312635, 0.419840, 0.706303, -0.235677, 0.084044, 0.253566, 0.000000, 0.000000]]
fourier: [[11.687909, 13.026120, 14.567929, 15.859115, 18.378614], [14.860564, 15.374792, 15.933329, 16.162723, 18.129972], [21.837909, 24.890239, 25.054281, 32.015403, 93.097908], [34.153528, 36.299612, 39.658419, 46.260080, 102.789514], [10.958383, 12.118463, 12.218693, 14.595224, 41.104895], [29.281168, 30.796578, 38.496740, 40.625420, 356.920259], [13.049228, 14.401448, 15.186384, 15.315885, 15.906677], [17.392299, 17.486496, 18.887851, 20.948592, 68.682343]]
### 4
mean: [-1.229296, 1.669171, -0.220498, -0.398406, 0.492846, -0.346318, -1.075477, -0.119360]
std: [0.844497, 1.771009, 1.148635, 0.794060, 0.855628, 1.064476, 0.720281, 1.187436]
pca: [[-0.076531, 0.695943, -0.087450, -0.336717, 0.206385, 0.549807, 0.198706, -0.066432, 0.000000, 0.000000], [0.623937, -0.041949, 0.072209, 0.399002, 0.576586, 0.159329, -0.042011, -0.291417, 0.000000, 0.000000], [-0.403291, -0.053263, 0.014451, 0.482782, -0.127750, 0.086550, 0.587940, -0.481402, 0.000000, 0.000000], [-0.222408, 0.300209, 0.842111, 0.035160, 0.088400, -0.214505, -0.261149, -0.167323, 0.000000, 0.000000], [0.286824, -0.178198, 0.404969, 0.133585, -0.517909, 0.617456, 0.045311, 0.229342, 0.000000, 0.000000], [-0.367279, -0.179926, 0.130458, 0.225649, 0.516870, 0.158089, 0.176384, 0.664483, 0.000000, 0.000000], [-0.201956, 0.344135, -0.309724, 0.599618, -0.166958, 0.135640, -0.575417, 0.089082, 0.000000, 0.000000], [-0.367135, -0.488246, -0.028826, -0.254558, 0.193803, 0.440660, -0.424982, -0.385807, 0.000000, 0.000000]]
fourier: [[13.771896, 15.160054, 16.015008, 18.625849, 110.636672], [27.739834, 28.127185, 31.654875, 36.445032, 150.225352], [18.505571, 19.844843, 19.943272, 21.107096, 22.385148], [12.843043, 13.585496, 13.653144, 15.580678, 35.856568], [13.904612, 14.053311, 14.479044, 18.543017, 44.356107], [17.935337, 19.062349, 19.326731, 19.730794, 31.168596], [11.836459, 12.139265, 12.178331, 15.082023, 96.792899], [19.489705, 19.967423, 20.292002, 21.461630, 21.560712]]
### 6
mean: [-1.297478, -0.679695, -0.373622, 2.023577, 1.690700, 1.331065, -0.210497, -0.690664]
std: [0.773145, 0.966726, 1.056591, 2.536319, 2.076876, 1.669498, 0.269798, 0.920442]
pca: [[-0.077491, 0.849865, -0.054851, -0.216382, 0.322009, 0.067278, 0.279036, -0.189254, 0.000000, 0.000000], [-0.229274, 0.324210, -0.092612, 0.343103, -0.447215, -0.135459, 0.203595, 0.675443, 0.000000, 0.000000], [-0.254103, -0.288885, 0.079547, 0.351272, 0.657007, -0.206257, 0.479708, 0.133931, 0.000000, 0.000000], [0.626550, -0.145099, -0.067329, -0.160430, -0.116001, 0.339891, 0.635018, 0.154536, 0.000000, 0.000000], [0.512363, 0.165779, 0.224156, -0.007824, 0.427827, -0.106514, -0.437965, 0.522972, 0.000000, 0.000000], [0.410247, 0.197487, 0.097886, 0.753065, -0.119530, -0.133131, -0.005217, -0.428917, 0.000000, 0.000000], [-0.055701, -0.009495, -0.663656, 0.305038, 0.231132, 0.590271, -0.234108, 0.081684, 0.000000, 0.000000], [-0.224443, 0.039168, 0.690860, 0.161598, -0.021185, 0.664506, -0.025951, 0.044715, 0.000000, 0.000000]]
fourier: [[12.605232, 13.024385, 14.629061, 15.812498, 116.773057], [14.472253, 15.211613, 16.780866, 19.577758, 61.172537], [18.313465, 18.436813, 19.851301, 20.614112, 33.625953], [41.495100, 43.852713, 46.532744, 49.425054, 182.121910], [34.682382, 38.257217, 38.344466, 38.626148, 152.163019], [27.594039, 30.382149, 30.772689, 32.227725, 119.795868], [4.550022, 4.597291, 5.169008, 5.371736, 18.944748], [15.413187, 15.969295, 16.634119, 17.125225, 62.159781]]
### 8
mean: [-3.993230]
std: [4.325010]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[62.722610, 74.042354, 76.433995, 88.594593, 359.390689]]
## 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.
starts_with
|
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90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "2": {"neuron_profiles": {"0": {"mean": 0.08742167800664902, "std": 0.8371698260307312, "pca": [-0.1193230077624321, 0.051682572811841965, 0.20117618143558502, 0.6698299646377563, -0.46487677097320557, -0.037928506731987, 0.3714468479156494, -0.3720553517341614, 0.0, 0.0], "fourier": [11.687908921844153, 13.02612012910311, 14.567928714215697, 15.85911516530976, 18.378613638298443]}, "1": {"mean": -0.2014441192150116, "std": 0.8095065951347351, "pca": [0.007747852709144354, -0.3038376271724701, 0.3360290229320526, 0.1309690624475479, -0.3923068344593048, 0.028581418097019196, -0.0745118036866188, 0.785672128200531, 0.0, 0.0], "fourier": [14.860563901622427, 15.374791818632392, 15.933328939184435, 16.162722652798955, 18.129971772432327]}, "2": {"mean": 1.0344213247299194, "std": 1.391681432723999, "pca": [0.18878553807735443, -0.5443657636642456, 0.4594009220600128, 0.008223460987210274, 0.10005057603120804, 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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.398592, 0.024049, 0.032642, 0.168354, 0.626143], [0.544165, -0.537673, 0.124012, -0.933997, 0.08517], [-0.865796, 0.45087, 0.341968, -0.370412, 0.091095], [0.589901, -0.018387, 0.464819, 0.338803, -0.599419], [-0.135989, -0.421609, 0.248621, -0.114403, 0.337997], [0.157078, 0.775254, 0.439542, -0.347481, 0.025479], [-0.462645, 0.602381, -0.286173, -0.096548, 0.41006], [-0.83901, -0.060726, 0.362848, -0.372293, 0.234848]], "network.0.bias": [0.025278, -0.118179, 0.20315, 0.333605, 0.257149, 0.013816, -0.245094, -0.316842], "network.2.weight": [[0.046347, -0.246109, 0.015665, 0.095088, -0.538755, -0.210638, 0.310968, -0.700686], [0.166721, -0.260238, 0.31485, -0.225645, -0.359581, 0.121589, 0.28449, -0.006191], [0.319362, -0.753762, 0.307115, -0.252574, -0.039064, 0.417445, 0.296353, 0.597468], [-0.88141, -0.169338, 0.059673, 0.467447, -0.057039, 0.634303, -0.157208, -0.382221], [0.056851, -0.145133, 0.09658, 0.014231, -0.258131, -0.369117, -0.027455, -0.025413], [-0.586901, 0.262075, -0.313355, -0.70004, -0.405871, -0.394482, -0.734379, -0.087028], [-0.206116, -0.489468, 0.267974, -0.349467, 0.204907, 0.176974, -0.06067, 0.488382], [-0.188651, -0.854253, -0.477144, 0.090387, 0.067664, -0.292008, -0.198653, 0.156905]], "network.2.bias": [0.425534, -0.227126, 0.28805, -0.102565, 0.230467, -0.721086, 0.348215, 0.216982], "network.4.weight": [[-0.206475, -0.352711, -0.484307, -0.203522, -0.377792, -0.410518, -0.131224, -0.031975], [-0.387985, -0.215953, -0.046625, 0.925259, -0.500572, 0.003168, -0.48341, 0.193283], [0.805724, 0.093903, 0.069816, -0.529055, 0.331445, -0.074913, 0.600504, 0.223717], [0.719089, 0.076939, -0.055252, -0.329424, 0.165745, 0.015121, -0.405039, 0.121617], [-0.140691, 0.371152, 0.039165, 0.445192, -0.237832, 0.036508, -0.438973, 0.078125], [0.879926, -0.045466, 0.247526, -0.495006, -0.117267, -0.143443, 0.398582, 0.134165], [0.322062, -0.140622, -0.334347, -0.274258, 0.43328, 0.608949, 0.625025, 0.223019], [0.484962, 0.156464, 0.448594, -0.515884, -0.39496, 0.025397, 0.351575, 0.0388]], "network.4.bias": [-0.306767, 0.563871, 0.164526, 0.044471, -0.130037, -0.180984, -0.462395, -0.061546], "network.6.weight": [[-0.042012, -0.349798, -0.064275, -0.326024, -0.208587, -0.149215, 0.156426, -0.835292], [-0.322564, -0.262838, 0.27191, 0.203076, -0.556437, 0.030795, 0.268335, -0.050568], [0.014962, -0.338185, 0.418495, -0.079818, -0.04507, 0.546134, -0.667844, 0.340868], [0.24012, 0.938377, -0.557431, -0.310253, 0.579629, -0.502258, -0.162901, -0.465881], [0.271873, 0.70123, -0.329559, -0.756038, 0.394014, -0.668731, -0.520159, -0.640493], [-0.367596, 0.785008, -0.03723, -0.624237, -0.17349, -0.50457, -0.024464, -0.580157], [-0.441607, -0.073876, 0.370437, 0.30766, 0.037069, 0.371376, 0.022941, -0.266171], [-0.554211, -0.3105, 0.020573, -0.300469, -0.288182, -0.092105, -0.338642, 0.485175]], "network.6.bias": [-0.359054, -0.039423, -0.113141, 0.531642, 0.666032, 0.33694, -0.209985, -0.260102], "network.8.weight": [[-0.06202, 0.130934, 0.533975, -0.684087, -0.847162, -0.635621, -0.006163, 0.518358]], "network.8.bias": [-0.203574]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6938350796699524, "train_acc": 0.385, "val_loss": 0.6899343729019165, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6712167263031006, "train_acc": 0.59, "val_loss": 0.6538851857185364, "val_acc": 0.62}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6234762668609619, "train_acc": 0.71, "val_loss": 0.6361750960350037, "val_acc": 0.68}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.581598162651062, "train_acc": 0.675, "val_loss": 0.6131041646003723, "val_acc": 0.62}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5282703936100006, "train_acc": 0.73, "val_loss": 0.6511731147766113, "val_acc": 0.66}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.4750955104827881, "train_acc": 0.76, "val_loss": 0.5764751434326172, "val_acc": 0.66}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.4442215710878372, "train_acc": 0.79, "val_loss": 0.5375238656997681, "val_acc": 0.72}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.41843967139720917, "train_acc": 0.805, "val_loss": 0.6004247069358826, "val_acc": 0.78}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.35026681423187256, "train_acc": 0.855, "val_loss": 0.7272487878799438, "val_acc": 0.68}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.34670358896255493, "train_acc": 0.86, "val_loss": 0.630031406879425, "val_acc": 0.74}], "summary": {"total_epochs": 10, "degraded_epochs": 2, "improved_epochs": 8, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.6899343729019165, "final_val_loss": 0.6538851857185364, "initial_val_acc": 0.5, "final_val_acc": 0.62, "best_val_acc": 0.62}, "improved_stage": {"initial_val_loss": 0.6361750960350037, "final_val_loss": 0.630031406879425, "initial_val_acc": 0.68, "final_val_acc": 0.74, "best_val_acc": 0.78, "best_epoch": 7}, "improvement": 0.16000000000000003, "first_improvement_epoch": 1}}
|
9,451
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.58, "improved_accuracy": 0.94, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9986, "learning_rate": 0.01637347790764947, "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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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-0.118582
],
[
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0.100382,
-0.470681,
0.496444,
-0.128582
],
[
-0.534682,
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0.08158
],
[
-0.461555,
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0.313346,
0.718229,
0.269785
],
[
-0.26351,
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0.022194
]
],
"network.0.bias": [
-0.067016,
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],
"network.2.weight": [
[
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],
[
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0.020226,
-0.386932
],
[
0.511809,
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0.010558,
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0.337258
],
[
-0.099039,
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0.04261,
0.038328
],
[
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]
],
"network.2.bias": [
-0.315625,
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],
"network.4.weight": [
[
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],
[
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],
[
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[
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[
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],
"network.4.bias": [
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],
"network.6.weight": [
[
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],
[
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],
[
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],
[
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[
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],
"network.6.bias": [
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"network.8.weight": [
[
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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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[
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[
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[
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[
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],
"network.10.bias": [
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],
"network.12.weight": [
[
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]
],
"network.12.bias": [
0.527278
]
}
## Activation Signature
### 0
mean: [-1.571756, 0.225640, 0.461727, 1.873353, -1.442515]
std: [1.655587, 1.713561, 1.357297, 1.968474, 0.886163]
pca: [[0.459673, 0.643701, -0.108132, -0.077534, 0.597198, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.609032, -0.135136, -0.512303, -0.365609, -0.463350, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.041722, 0.465207, 0.635186, -0.396778, -0.470051, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.621781, -0.473105, 0.561808, 0.218762, 0.161477, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.171548, 0.356567, -0.082242, 0.809338, -0.426191, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.324275, 28.413186, 30.246440, 34.108832, 141.458078], [25.176080, 27.584744, 28.582814, 30.767465, 34.804160], [19.677939, 20.163126, 20.873654, 23.087765, 41.555447], [28.499259, 30.827669, 32.189219, 32.733712, 168.601730], [13.373450, 14.321705, 16.277873, 16.366042, 129.826376]]
### 2
mean: [-1.213234, -0.220933, -0.845636, -0.114417, 1.905489]
std: [0.848293, 0.429331, 0.161305, 0.534874, 1.625102]
pca: [[-0.343657, 0.790799, -0.501073, 0.073880, 0.001811, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.185503, 0.257841, 0.508531, -0.192815, 0.776740, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.079162, -0.097581, 0.043431, 0.965321, 0.224680, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.219652, 0.333918, 0.693388, 0.121212, -0.587173, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.890491, 0.432587, 0.087456, 0.104058, 0.037645, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.490117, 14.271467, 14.793591, 14.915349, 109.191080], [6.900151, 8.143202, 8.345198, 8.926846, 19.884004], [2.535001, 2.538170, 2.567203, 2.611090, 76.107224], [8.614576, 10.213555, 10.251906, 10.297513, 10.888349], [24.036215, 24.297831, 26.008714, 28.636306, 171.493963]]
### 4
mean: [1.206090, 0.158085, -0.237057, 1.499980, 0.094825]
std: [1.283805, 0.489336, 0.154695, 1.214840, 0.306504]
pca: [[0.688935, 0.412305, -0.158090, -0.557451, -0.140107, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.259613, 0.653355, -0.564436, 0.376160, -0.213645, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.073295, 0.622325, 0.740117, 0.104361, 0.220626, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.652347, -0.081264, -0.056380, 0.683773, 0.311634, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.164445, 0.096121, -0.324759, -0.263279, 0.888220, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.826266, 19.422951, 21.034361, 23.285447, 108.548135], [7.933045, 8.415624, 8.454190, 9.515819, 14.227657], [2.609605, 2.790116, 3.056184, 3.090188, 21.335119], [18.604814, 18.766088, 20.257034, 22.523882, 134.998256], [4.763353, 4.832101, 5.142353, 5.762987, 8.534249]]
### 6
mean: [-0.290257, 0.244240, 0.160789, 1.874722, 1.418888]
std: [0.462373, 0.716044, 0.675668, 1.610219, 1.399579]
pca: [[0.192241, -0.385720, -0.359021, 0.809539, 0.173248, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.298877, 0.340723, 0.477245, 0.296908, 0.691855, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.280649, 0.610440, -0.055068, 0.457224, -0.580097, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.672619, 0.595211, -0.339003, -0.083650, 0.267183, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.585265, -0.090635, 0.724835, 0.201100, -0.288829, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.406083, 7.450382, 7.914186, 8.691208, 26.123128], [11.180338, 11.204854, 12.060267, 13.338243, 21.981589], [10.871840, 10.968588, 11.653077, 12.737719, 14.470996], [23.244265, 23.464806, 25.943056, 29.156491, 168.724936], [21.157015, 21.183114, 23.225132, 25.795527, 127.699954]]
### 8
mean: [1.076620, 0.978452, -0.345006, 2.322780, 0.251323]
std: [1.564045, 1.241203, 0.328977, 2.366771, 0.561158]
pca: [[0.494766, -0.324654, 0.063222, 0.803492, -0.014492, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.392671, -0.240731, 0.525820, -0.391234, -0.598587, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.104049, -0.061537, 0.763957, -0.009475, 0.633771, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.748668, 0.506907, -0.132206, -0.239873, 0.327909, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.172294, 0.758885, 0.344103, 0.379089, -0.363720, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.811166, 24.527398, 26.570046, 28.718470, 96.895817], [18.761872, 19.409233, 21.046495, 22.711734, 88.060698], [4.855445, 4.947242, 5.391048, 6.023170, 31.050569], [34.916367, 34.954316, 38.814934, 42.930723, 209.050240], [9.023744, 9.865579, 10.149804, 10.362501, 22.619051]]
### 10
mean: [-1.302791, 2.142679, 1.173395, 2.662709, 1.808013]
std: [1.664199, 2.848878, 1.230448, 2.783373, 1.874806]
pca: [[-0.342068, 0.534626, 0.179672, 0.694098, -0.288290, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.585703, 0.413164, -0.275591, 0.280858, 0.575688, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.252962, -0.048629, 0.940275, 0.011046, 0.222273, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.572225, -0.465430, -0.065337, 0.450144, -0.499034, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.385370, 0.569632, 0.058146, -0.486411, -0.535754, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.516305, 24.015159, 26.357490, 29.387476, 117.251151], [41.019123, 41.068274, 46.171697, 50.781320, 192.841173], [17.549803, 17.688709, 19.604717, 21.828074, 105.605521], [39.561452, 39.871209, 44.404934, 49.261066, 239.643808], [27.219510, 27.326116, 30.572630, 33.552888, 162.721192]]
### 12
mean: [-2.052677]
std: [2.589522]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[36.944672, 38.082173, 39.644248, 44.538708, 184.740930]]
## 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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.733958,
-0.096987,
-0.048833,
-0.077587,
-0.118582
],
[
-0.331642,
0.100382,
-0.470681,
0.496444,
-0.128582
],
[
-0.534682,
0.072255,
0.538383,
-0.319942,
0.08158
],
[
-0.461555,
0.098405,
0.313346,
0.718229,
0.269785
],
[
-0.26351,
-0.264392,
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0.022194
]
],
"network.0.bias": [
-0.067016,
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0.456304,
-0.259066,
-0.463733
],
"network.2.weight": [
[
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],
[
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-0.415164,
0.020226,
-0.386932
],
[
0.511809,
-0.064125,
0.010558,
-0.047316,
0.337258
],
[
-0.099039,
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0.04261,
0.038328
],
[
-0.606696,
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]
],
"network.2.bias": [
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-0.628892,
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],
"network.4.weight": [
[
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0.020685,
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],
[
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-0.223192
],
[
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0.073125,
-0.140315,
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-0.033846
],
[
0.212695,
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-0.31228,
0.658756
],
[
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]
],
"network.4.bias": [
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0.442278,
-0.286365,
0.26016,
0.325704
],
"network.6.weight": [
[
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-0.646998,
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],
[
-0.380236,
0.78476,
0.065607,
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0.101102
],
[
-0.252072,
0.818898,
0.142068,
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],
[
0.481106,
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],
[
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0.785209,
-0.706616
]
],
"network.6.bias": [
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0.14146
],
"network.8.weight": [
[
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0.462002,
0.232472
],
[
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0.469406,
0.052213
],
[
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],
[
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0.81042
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[
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]
],
"network.8.bias": [
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0.317127,
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0.250747,
-0.002881
],
"network.10.weight": [
[
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-0.245405,
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0.150084
],
[
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0.23503,
-0.218181,
0.780221,
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],
[
0.302382,
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0.356783,
0.032741,
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],
[
0.728402,
0.227521,
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0.609944,
-0.344651
],
[
0.058918,
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-0.557735
]
],
"network.10.bias": [
0.224361,
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0.224145,
0.145835,
0.299926
],
"network.12.weight": [
[
-0.082327,
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-0.048794,
-0.410923,
-0.399435
]
],
"network.12.bias": [
0.527278
]
}
## Activation Signature
### 0
mean: [-1.571756, 0.225640, 0.461727, 1.873353, -1.442515]
std: [1.655587, 1.713561, 1.357297, 1.968474, 0.886163]
pca: [[0.459673, 0.643701, -0.108132, -0.077534, 0.597198, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.609032, -0.135136, -0.512303, -0.365609, -0.463350, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.041722, 0.465207, 0.635186, -0.396778, -0.470051, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.621781, -0.473105, 0.561808, 0.218762, 0.161477, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.171548, 0.356567, -0.082242, 0.809338, -0.426191, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.324275, 28.413186, 30.246440, 34.108832, 141.458078], [25.176080, 27.584744, 28.582814, 30.767465, 34.804160], [19.677939, 20.163126, 20.873654, 23.087765, 41.555447], [28.499259, 30.827669, 32.189219, 32.733712, 168.601730], [13.373450, 14.321705, 16.277873, 16.366042, 129.826376]]
### 2
mean: [-1.213234, -0.220933, -0.845636, -0.114417, 1.905489]
std: [0.848293, 0.429331, 0.161305, 0.534874, 1.625102]
pca: [[-0.343657, 0.790799, -0.501073, 0.073880, 0.001811, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.185503, 0.257841, 0.508531, -0.192815, 0.776740, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.079162, -0.097581, 0.043431, 0.965321, 0.224680, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.219652, 0.333918, 0.693388, 0.121212, -0.587173, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.890491, 0.432587, 0.087456, 0.104058, 0.037645, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.490117, 14.271467, 14.793591, 14.915349, 109.191080], [6.900151, 8.143202, 8.345198, 8.926846, 19.884004], [2.535001, 2.538170, 2.567203, 2.611090, 76.107224], [8.614576, 10.213555, 10.251906, 10.297513, 10.888349], [24.036215, 24.297831, 26.008714, 28.636306, 171.493963]]
### 4
mean: [1.206090, 0.158085, -0.237057, 1.499980, 0.094825]
std: [1.283805, 0.489336, 0.154695, 1.214840, 0.306504]
pca: [[0.688935, 0.412305, -0.158090, -0.557451, -0.140107, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.259613, 0.653355, -0.564436, 0.376160, -0.213645, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.073295, 0.622325, 0.740117, 0.104361, 0.220626, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.652347, -0.081264, -0.056380, 0.683773, 0.311634, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.164445, 0.096121, -0.324759, -0.263279, 0.888220, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.826266, 19.422951, 21.034361, 23.285447, 108.548135], [7.933045, 8.415624, 8.454190, 9.515819, 14.227657], [2.609605, 2.790116, 3.056184, 3.090188, 21.335119], [18.604814, 18.766088, 20.257034, 22.523882, 134.998256], [4.763353, 4.832101, 5.142353, 5.762987, 8.534249]]
### 6
mean: [-0.290257, 0.244240, 0.160789, 1.874722, 1.418888]
std: [0.462373, 0.716044, 0.675668, 1.610219, 1.399579]
pca: [[0.192241, -0.385720, -0.359021, 0.809539, 0.173248, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.298877, 0.340723, 0.477245, 0.296908, 0.691855, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.280649, 0.610440, -0.055068, 0.457224, -0.580097, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.672619, 0.595211, -0.339003, -0.083650, 0.267183, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.585265, -0.090635, 0.724835, 0.201100, -0.288829, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.406083, 7.450382, 7.914186, 8.691208, 26.123128], [11.180338, 11.204854, 12.060267, 13.338243, 21.981589], [10.871840, 10.968588, 11.653077, 12.737719, 14.470996], [23.244265, 23.464806, 25.943056, 29.156491, 168.724936], [21.157015, 21.183114, 23.225132, 25.795527, 127.699954]]
### 8
mean: [1.076620, 0.978452, -0.345006, 2.322780, 0.251323]
std: [1.564045, 1.241203, 0.328977, 2.366771, 0.561158]
pca: [[0.494766, -0.324654, 0.063222, 0.803492, -0.014492, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.392671, -0.240731, 0.525820, -0.391234, -0.598587, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.104049, -0.061537, 0.763957, -0.009475, 0.633771, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.748668, 0.506907, -0.132206, -0.239873, 0.327909, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.172294, 0.758885, 0.344103, 0.379089, -0.363720, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.811166, 24.527398, 26.570046, 28.718470, 96.895817], [18.761872, 19.409233, 21.046495, 22.711734, 88.060698], [4.855445, 4.947242, 5.391048, 6.023170, 31.050569], [34.916367, 34.954316, 38.814934, 42.930723, 209.050240], [9.023744, 9.865579, 10.149804, 10.362501, 22.619051]]
### 10
mean: [-1.302791, 2.142679, 1.173395, 2.662709, 1.808013]
std: [1.664199, 2.848878, 1.230448, 2.783373, 1.874806]
pca: [[-0.342068, 0.534626, 0.179672, 0.694098, -0.288290, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.585703, 0.413164, -0.275591, 0.280858, 0.575688, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.252962, -0.048629, 0.940275, 0.011046, 0.222273, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.572225, -0.465430, -0.065337, 0.450144, -0.499034, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.385370, 0.569632, 0.058146, -0.486411, -0.535754, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.516305, 24.015159, 26.357490, 29.387476, 117.251151], [41.019123, 41.068274, 46.171697, 50.781320, 192.841173], [17.549803, 17.688709, 19.604717, 21.828074, 105.605521], [39.561452, 39.871209, 44.404934, 49.261066, 239.643808], [27.219510, 27.326116, 30.572630, 33.552888, 162.721192]]
### 12
mean: [-2.052677]
std: [2.589522]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[36.944672, 38.082173, 39.644248, 44.538708, 184.740930]]
## 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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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7095824778079987, "train_acc": 0.445, "val_loss": 0.7038159966468811, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6986571848392487, "train_acc": 0.445, "val_loss": 0.6912635564804077, "val_acc": 0.58}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.688465416431427, "train_acc": 0.555, "val_loss": 0.6805545687675476, "val_acc": 0.58}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6879061460494995, "train_acc": 0.555, "val_loss": 0.6713794469833374, "val_acc": 0.58}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6904514729976654, "train_acc": 0.555, "val_loss": 0.6611236333847046, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.7058724164962769, "train_acc": 0.48, "val_loss": 0.6462236046791077, "val_acc": 0.58}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.6711499989032745, "train_acc": 0.48, "val_loss": 0.6283616423606873, "val_acc": 0.58}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.6479791402816772, "train_acc": 0.48, "val_loss": 0.5839502215385437, "val_acc": 0.7}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.6150028705596924, "train_acc": 0.64, "val_loss": 0.522112250328064, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.5541025102138519, "train_acc": 0.72, "val_loss": 0.45691969990730286, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.5058461725711823, "train_acc": 0.77, "val_loss": 0.39238715171813965, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.4446137398481369, "train_acc": 0.835, "val_loss": 0.33401569724082947, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.40140196681022644, "train_acc": 0.88, "val_loss": 0.28546902537345886, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.36086031794548035, "train_acc": 0.89, "val_loss": 0.24718248844146729, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.33494268357753754, "train_acc": 0.905, "val_loss": 0.2296706736087799, "val_acc": 0.94}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.7038159966468811, "final_val_loss": 0.6611236333847046, "initial_val_acc": 0.42, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.6462236046791077, "final_val_loss": 0.2296706736087799, "initial_val_acc": 0.58, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 13}, "improvement": 0.36, "first_improvement_epoch": 4}}
|
9,452
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.44, "improved_accuracy": 0.92, "improvement": 0.48000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5096, "learning_rate": 0.06599977905529737, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
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## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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## Activation Signature
### 0
mean: [0.015533, 1.800542, -0.732916, -3.183192, -3.580559]
std: [1.934163, 2.383670, 2.471477, 1.809949, 2.654232]
pca: [[0.281476, -0.477113, 0.405644, 0.016485, 0.726853, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.554911, 0.462891, -0.025020, 0.451912, 0.522452, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.189202, 0.593155, 0.743378, -0.225801, -0.093662, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.250163, 0.373282, -0.490725, -0.606120, 0.435761, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.717263, 0.258694, -0.203483, 0.614115, -0.008320, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.465199, 29.277233, 34.912389, 35.501115, 37.236515], [36.902166, 39.735970, 47.614092, 53.588275, 162.048742], [35.735770, 36.963536, 40.353384, 46.030934, 65.962465], [26.176687, 29.066905, 30.389400, 30.567509, 286.487272], [39.954699, 42.918092, 49.764489, 55.026110, 322.250284]]
### 2
mean: [-1.301694, 0.856257, -0.194383, -1.170255, 1.331025]
std: [0.841852, 1.335993, 1.027867, 0.828996, 2.214101]
pca: [[-0.204219, 0.777612, -0.049635, -0.531043, -0.262952, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.435429, 0.315817, 0.798040, 0.259765, -0.079471, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.349945, -0.048015, 0.401400, -0.353352, 0.767629, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.248848, 0.513193, -0.254675, 0.688404, 0.368711, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.764401, 0.172935, -0.366998, -0.227504, 0.446473, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.354532, 14.282802, 15.119252, 15.972231, 117.152485], [21.332250, 22.390543, 27.715994, 28.205785, 77.063151], [16.599903, 16.800016, 17.494466, 20.735402, 22.209216], [12.950057, 13.989455, 15.894067, 18.018145, 105.322968], [35.068858, 35.867078, 45.900718, 48.745607, 119.792241]]
### 4
mean: [1.885371, -0.876090, -1.362106, 1.093926, 1.839298]
std: [2.401026, 0.627168, 0.912909, 1.480841, 2.305942]
pca: [[0.633802, 0.133451, -0.657646, -0.223897, 0.312822, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.164342, 0.198741, 0.035017, 0.603465, 0.753723, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.220539, 0.926013, -0.145434, -0.020801, -0.268846, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.389472, 0.283689, 0.715058, -0.406393, 0.302274, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.609066, 0.068651, 0.183893, 0.648161, -0.412791, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[36.238184, 36.502739, 50.231116, 56.695517, 169.683431], [8.865893, 10.037846, 12.701435, 15.041392, 78.848123], [13.498350, 15.758543, 16.203292, 21.031800, 122.589566], [22.389682, 22.527635, 30.736734, 35.472358, 98.453305], [34.536570, 34.925804, 47.906756, 55.153231, 165.536865]]
### 6
mean: [1.979024, 2.607843, 3.072711, -0.142386, 1.822937]
std: [2.518830, 3.095228, 3.791736, 0.504855, 1.996013]
pca: [[0.428524, 0.673478, -0.241184, -0.541247, -0.108053, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.526681, -0.318312, 0.688217, -0.326277, 0.202943, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.645199, -0.391273, -0.588567, 0.260845, 0.127171, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.085827, 0.284855, -0.029683, 0.110498, 0.947840, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.339597, 0.459203, 0.347700, 0.721350, -0.180460, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[37.352301, 38.258157, 52.080864, 60.909605, 178.112175], [46.012767, 47.312217, 64.236325, 74.659975, 234.705883], [56.274765, 57.982787, 78.605435, 91.488014, 276.544000], [7.501235, 7.773766, 10.501670, 12.130981, 12.814759], [29.640419, 30.329019, 41.317577, 48.246643, 164.064294]]
### 8
mean: [-1.776657, -0.821260, 0.257655, -0.401128, 5.707518]
std: [1.658732, 0.246023, 0.397294, 0.383608, 7.136733]
pca: [[-0.225546, 0.559775, 0.193056, -0.470037, 0.614473, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.033121, -0.292597, 0.940412, 0.152370, 0.075488, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.053343, 0.758141, 0.204651, 0.409654, -0.461171, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.052177, 0.004775, -0.173947, 0.765771, 0.616921, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.970806, 0.161984, 0.078833, -0.040337, 0.153152, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.633284, 25.503044, 34.656677, 39.832930, 159.899137], [3.713251, 3.715412, 4.594558, 6.150983, 73.913381], [5.976771, 6.172436, 8.671985, 9.135073, 23.188970], [5.670363, 5.905911, 8.003062, 9.226830, 36.101535], [105.786558, 109.374271, 147.547658, 172.502311, 513.676620]]
### 10
mean: [-2.281552]
std: [3.631230]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[53.701375, 55.883332, 75.273096, 87.599744, 205.339650]]
## 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.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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"network.10.bias": [
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}
## Activation Signature
### 0
mean: [0.015533, 1.800542, -0.732916, -3.183192, -3.580559]
std: [1.934163, 2.383670, 2.471477, 1.809949, 2.654232]
pca: [[0.281476, -0.477113, 0.405644, 0.016485, 0.726853, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.554911, 0.462891, -0.025020, 0.451912, 0.522452, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.189202, 0.593155, 0.743378, -0.225801, -0.093662, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.250163, 0.373282, -0.490725, -0.606120, 0.435761, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.717263, 0.258694, -0.203483, 0.614115, -0.008320, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.465199, 29.277233, 34.912389, 35.501115, 37.236515], [36.902166, 39.735970, 47.614092, 53.588275, 162.048742], [35.735770, 36.963536, 40.353384, 46.030934, 65.962465], [26.176687, 29.066905, 30.389400, 30.567509, 286.487272], [39.954699, 42.918092, 49.764489, 55.026110, 322.250284]]
### 2
mean: [-1.301694, 0.856257, -0.194383, -1.170255, 1.331025]
std: [0.841852, 1.335993, 1.027867, 0.828996, 2.214101]
pca: [[-0.204219, 0.777612, -0.049635, -0.531043, -0.262952, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.435429, 0.315817, 0.798040, 0.259765, -0.079471, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.349945, -0.048015, 0.401400, -0.353352, 0.767629, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.248848, 0.513193, -0.254675, 0.688404, 0.368711, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.764401, 0.172935, -0.366998, -0.227504, 0.446473, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.354532, 14.282802, 15.119252, 15.972231, 117.152485], [21.332250, 22.390543, 27.715994, 28.205785, 77.063151], [16.599903, 16.800016, 17.494466, 20.735402, 22.209216], [12.950057, 13.989455, 15.894067, 18.018145, 105.322968], [35.068858, 35.867078, 45.900718, 48.745607, 119.792241]]
### 4
mean: [1.885371, -0.876090, -1.362106, 1.093926, 1.839298]
std: [2.401026, 0.627168, 0.912909, 1.480841, 2.305942]
pca: [[0.633802, 0.133451, -0.657646, -0.223897, 0.312822, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.164342, 0.198741, 0.035017, 0.603465, 0.753723, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.220539, 0.926013, -0.145434, -0.020801, -0.268846, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.389472, 0.283689, 0.715058, -0.406393, 0.302274, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.609066, 0.068651, 0.183893, 0.648161, -0.412791, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[36.238184, 36.502739, 50.231116, 56.695517, 169.683431], [8.865893, 10.037846, 12.701435, 15.041392, 78.848123], [13.498350, 15.758543, 16.203292, 21.031800, 122.589566], [22.389682, 22.527635, 30.736734, 35.472358, 98.453305], [34.536570, 34.925804, 47.906756, 55.153231, 165.536865]]
### 6
mean: [1.979024, 2.607843, 3.072711, -0.142386, 1.822937]
std: [2.518830, 3.095228, 3.791736, 0.504855, 1.996013]
pca: [[0.428524, 0.673478, -0.241184, -0.541247, -0.108053, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.526681, -0.318312, 0.688217, -0.326277, 0.202943, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.645199, -0.391273, -0.588567, 0.260845, 0.127171, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.085827, 0.284855, -0.029683, 0.110498, 0.947840, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.339597, 0.459203, 0.347700, 0.721350, -0.180460, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[37.352301, 38.258157, 52.080864, 60.909605, 178.112175], [46.012767, 47.312217, 64.236325, 74.659975, 234.705883], [56.274765, 57.982787, 78.605435, 91.488014, 276.544000], [7.501235, 7.773766, 10.501670, 12.130981, 12.814759], [29.640419, 30.329019, 41.317577, 48.246643, 164.064294]]
### 8
mean: [-1.776657, -0.821260, 0.257655, -0.401128, 5.707518]
std: [1.658732, 0.246023, 0.397294, 0.383608, 7.136733]
pca: [[-0.225546, 0.559775, 0.193056, -0.470037, 0.614473, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.033121, -0.292597, 0.940412, 0.152370, 0.075488, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.053343, 0.758141, 0.204651, 0.409654, -0.461171, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.052177, 0.004775, -0.173947, 0.765771, 0.616921, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.970806, 0.161984, 0.078833, -0.040337, 0.153152, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.633284, 25.503044, 34.656677, 39.832930, 159.899137], [3.713251, 3.715412, 4.594558, 6.150983, 73.913381], [5.976771, 6.172436, 8.671985, 9.135073, 23.188970], [5.670363, 5.905911, 8.003062, 9.226830, 36.101535], [105.786558, 109.374271, 147.547658, 172.502311, 513.676620]]
### 10
mean: [-2.281552]
std: [3.631230]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[53.701375, 55.883332, 75.273096, 87.599744, 205.339650]]
## 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.
ends_with
|
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"fourier": [5.670363376447585, 5.905910806436507, 8.003062262233192, 9.2268297455973, 36.10153465718031]}, "4": {"mean": 5.707518100738525, "std": 7.136732578277588, "pca": [0.9708059430122375, 0.16198359429836273, 0.07883253693580627, -0.04033729061484337, 0.15315188467502594, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [105.78655813875488, 109.37427141890412, 147.54765833603906, 172.5023109223627, 513.6766198575497]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "10": {"neuron_profiles": {"0": {"mean": -2.2815515995025635, "std": 3.6312296390533447, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [53.7013751451081, 55.88333224012242, 75.27309566825542, 87.5997441549543, 205.33964985609055]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.343608, 0.151031, 0.213938, 0.419115, -0.869802], [0.23912, -0.025314, 0.214682, -0.14356, 1.149656], [-0.906268, -0.418461, -0.016141, 0.196067, 0.739927], [-0.027045, -0.146871, -0.613855, -0.593764, 0.268395], [-0.608656, -0.49481, -0.174182, -0.578046, -0.426442]], "network.0.bias": [-0.104983, -0.009399, -0.141902, -0.657358, 0.207912], "network.2.weight": [[-0.419107, -0.261568, -0.409827, -0.069959, 0.182872], [-0.253477, 0.574771, -0.307624, -0.357389, -0.077282], [0.3678, -0.253179, -0.27997, -0.128994, -0.076739], [-0.26303, -0.328027, -0.223032, 0.625544, 0.40541], [-0.707466, 0.654217, 0.368979, -0.117874, -0.118958]], "network.2.bias": [-0.30008, 0.119213, 0.142747, -0.257175, 0.45698], "network.4.weight": [[0.444563, 0.608335, -0.498561, 0.131882, 0.81199], [-0.323885, -0.289908, -0.078419, 0.434333, -0.156332], [0.017369, -0.786139, -0.642526, 0.343273, -0.035679], [-0.187171, 0.105888, -0.163846, -0.044751, 0.681838], [0.191418, 0.521227, -0.222558, -0.283721, 0.8524]], "network.4.bias": [0.141228, -0.32102, -0.351995, -0.053309, 0.033123], "network.6.weight": [[0.135967, -0.152673, 0.61206, 0.617835, 0.582392], [0.85053, -0.150428, 0.361358, 0.2859, 0.312821], [0.574268, 0.046509, -0.191526, 0.159155, 0.983313], [-0.183392, 0.200132, -0.251557, 0.088043, -0.089807], [0.320745, -0.02812, -0.025811, 0.527809, 0.218975]], "network.6.bias": [-0.098445, 0.01406, -0.094934, 0.286535, 0.170422], "network.8.weight": [[0.070013, -0.266346, -0.391549, 0.289058, 0.247798], [0.037129, -0.311605, 0.139992, -0.547693, 0.024373], [0.299303, 0.007249, -0.482599, 0.486465, 0.352652], [0.00752, 0.234775, -0.219375, 0.106058, -0.146427], [0.71924, 0.435213, 0.833629, 0.133744, 0.434844]], "network.8.bias": [-0.49591, -0.494098, 0.431087, -0.094355, -0.266863], "network.10.weight": [[-0.013499, 0.015028, 0.260817, 0.150967, -0.503022]], "network.10.bias": [0.524931]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7115103602409363, "train_acc": 0.435, "val_loss": 0.7076175212860107, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6625371277332306, "train_acc": 0.57, "val_loss": 0.7141441106796265, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6133312880992889, "train_acc": 0.57, "val_loss": 0.5928301215171814, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5963949859142303, "train_acc": 0.515, "val_loss": 0.47681424021720886, "val_acc": 0.9}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.49045002460479736, "train_acc": 0.815, "val_loss": 0.4691408574581146, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4868067651987076, "train_acc": 0.79, "val_loss": 0.40111708641052246, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.40915198624134064, "train_acc": 0.84, "val_loss": 0.350157767534256, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.353075236082077, "train_acc": 0.855, "val_loss": 0.47403404116630554, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.33751092851161957, "train_acc": 0.865, "val_loss": 0.28905001282691956, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.2814294919371605, "train_acc": 0.895, "val_loss": 0.26109856367111206, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.2930375039577484, "train_acc": 0.89, "val_loss": 0.24757714569568634, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.26638515293598175, "train_acc": 0.905, "val_loss": 0.23567081987857819, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.27699506282806396, "train_acc": 0.9, "val_loss": 0.24294410645961761, "val_acc": 0.92}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.7076175212860107, "final_val_loss": 0.5928301215171814, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.47681424021720886, "final_val_loss": 0.24294410645961761, "initial_val_acc": 0.9, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 6}, "improvement": 0.48000000000000004, "first_improvement_epoch": 2}}
|
9,453
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.46, "improved_accuracy": 0.94, "improvement": 0.4799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2955, "learning_rate": 0.025841946007874976, "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: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.504382,
0.349153,
-0.065975,
-0.016689,
0.292901
],
[
-0.618059,
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0.330628,
0.531947,
0.104924
],
[
0.365223,
0.158277,
-0.019305,
-0.182496,
0.32409
],
[
-0.246169,
0.097345,
-0.082161,
0.234114,
0.557177
],
[
-0.31444,
0.042599,
-0.230131,
-0.011254,
0.71658
],
[
0.608998,
0.133061,
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## Activation Signature
### 0
mean: [0.936494, 2.306192, 0.371026, 1.160857, 0.259877, 1.328156, 1.720375]
std: [1.061864, 1.845147, 1.138417, 1.246866, 1.386093, 1.495202, 1.417153]
pca: [[0.353949, 0.078125, 0.064140, 0.879410, 0.002716, -0.046889, 0.298220, 0.000000, 0.000000, 0.000000], [0.523589, 0.584403, -0.310464, -0.163343, -0.461718, 0.039853, -0.215608, 0.000000, 0.000000, 0.000000], [-0.232743, 0.227333, 0.524308, 0.166351, -0.199004, 0.689627, -0.276387, 0.000000, 0.000000, 0.000000], [0.358687, 0.223721, 0.398795, -0.397580, 0.284602, 0.173423, 0.626986, 0.000000, 0.000000, 0.000000], [0.371650, -0.074874, 0.591720, -0.033803, 0.145162, -0.459159, -0.522586, 0.000000, 0.000000, 0.000000], [-0.462047, 0.363315, 0.303615, 0.005374, -0.452540, -0.520447, 0.294356, 0.000000, 0.000000, 0.000000], [-0.257173, 0.642677, -0.152471, 0.114211, 0.663583, -0.094126, -0.187974, 0.000000, 0.000000, 0.000000]]
fourier: [[18.532247, 18.870896, 18.952685, 23.058360, 84.284491], [26.856732, 27.458361, 27.633759, 34.836246, 207.557248], [17.790658, 19.157205, 21.158508, 23.229451, 33.392376], [19.496832, 20.840663, 21.698563, 23.069357, 104.477116], [20.423120, 21.944485, 23.388957, 24.048566, 25.703686], [24.701439, 24.712444, 28.941832, 29.225781, 119.534052], [23.220287, 24.028604, 24.152903, 28.693965, 154.833720]]
### 2
mean: [1.914232, 0.933812, -0.062331, 1.080107, 0.233985, 1.405307, -2.099612]
std: [2.459051, 1.421262, 1.285541, 1.455935, 0.640816, 1.943290, 1.194547]
pca: [[0.627030, -0.100412, 0.101550, -0.291492, 0.489797, -0.462309, -0.218725, 0.000000, 0.000000, 0.000000], [0.337101, -0.425427, 0.122409, 0.748365, 0.057665, -0.002869, 0.356382, 0.000000, 0.000000, 0.000000], [0.195746, 0.882318, 0.121514, 0.241659, 0.148818, -0.033515, 0.294555, 0.000000, 0.000000, 0.000000], [0.369568, -0.083559, 0.089624, -0.483563, -0.485592, 0.038917, 0.614213, 0.000000, 0.000000, 0.000000], [-0.149158, -0.120712, -0.233742, -0.226386, 0.687065, 0.432706, 0.444973, 0.000000, 0.000000, 0.000000], [0.496063, 0.061674, 0.030105, 0.008551, -0.085919, 0.760686, -0.403872, 0.000000, 0.000000, 0.000000], [-0.223546, -0.071322, 0.946765, -0.106895, 0.139235, 0.133216, 0.004134, 0.000000, 0.000000, 0.000000]]
fourier: [[35.934632, 39.396799, 48.177360, 54.407283, 172.280929], [20.725403, 25.446888, 26.816542, 29.365378, 84.043115], [19.084080, 20.098927, 20.187866, 21.204170, 21.681888], [21.328355, 22.657242, 28.033055, 32.248388, 97.209638], [10.416271, 10.469276, 11.644660, 12.596231, 21.058638], [28.251305, 30.378938, 35.835724, 43.114223, 126.477645], [18.301830, 20.203102, 21.544777, 21.934783, 188.965099]]
### 4
mean: [-0.743825, -0.450149, 2.331379, 3.391019, 1.444540, -0.612143, -0.894445]
std: [0.596321, 0.763691, 1.822912, 3.046045, 1.294905, 1.162854, 0.502799]
pca: [[-0.123028, 0.566274, 0.674948, -0.178536, -0.009091, 0.347937, 0.235849, 0.000000, 0.000000, 0.000000], [-0.187362, 0.077519, 0.149993, -0.420202, 0.659124, -0.420549, -0.385374, 0.000000, 0.000000, 0.000000], [0.438879, 0.699531, -0.352248, -0.014846, -0.148450, -0.031427, -0.413180, 0.000000, 0.000000, 0.000000], [0.749639, -0.126363, 0.379869, 0.019150, 0.033279, -0.445056, 0.279686, 0.000000, 0.000000, 0.000000], [0.318615, -0.017315, -0.221227, 0.161266, 0.704120, 0.536846, 0.198111, 0.000000, 0.000000, 0.000000], [-0.280965, 0.401581, -0.320869, 0.201548, 0.155006, -0.447418, 0.626101, 0.000000, 0.000000, 0.000000], [-0.121362, 0.080290, 0.318857, 0.851082, 0.150055, -0.120950, -0.340103, 0.000000, 0.000000, 0.000000]]
fourier: [[9.471845, 9.582095, 10.506697, 12.302430, 66.944271], [11.461399, 11.639487, 13.531387, 16.494989, 40.513401], [25.004451, 25.615586, 35.752507, 37.032798, 209.824112], [44.501809, 46.335640, 55.788877, 67.110793, 305.191748], [19.041709, 19.749864, 23.922948, 28.315828, 130.008613], [17.687470, 18.779089, 19.626294, 26.275555, 55.092829], [7.552596, 7.724080, 8.898563, 11.444840, 80.500016]]
### 6
mean: [1.713272, 0.238767, -1.055598, -0.841817, 3.416870, 1.959942, 1.404244]
std: [1.359548, 0.456937, 0.734924, 0.718229, 2.860366, 1.698475, 1.344675]
pca: [[0.339869, 0.368676, -0.124566, 0.122202, -0.586164, -0.154424, 0.592184, 0.000000, 0.000000, 0.000000], [-0.098307, 0.654695, -0.465475, -0.196026, 0.469410, 0.265662, 0.125280, 0.000000, 0.000000, 0.000000], [-0.182834, -0.282826, -0.104842, 0.548768, 0.007178, 0.681953, 0.330654, 0.000000, 0.000000, 0.000000], [-0.173327, 0.534393, 0.643652, 0.489205, 0.128659, -0.076587, -0.091400, 0.000000, 0.000000, 0.000000], [0.718324, 0.030449, 0.392938, -0.258830, 0.121700, 0.494767, -0.045671, 0.000000, 0.000000, 0.000000], [0.426362, 0.095186, -0.432983, 0.519366, -0.073615, -0.045369, -0.586910, 0.000000, 0.000000, 0.000000], [0.337018, -0.244740, -0.025752, 0.263513, 0.631848, -0.433358, 0.411567, 0.000000, 0.000000, 0.000000]]
fourier: [[19.062946, 19.071075, 26.441599, 28.420130, 154.194523], [6.867043, 7.503655, 8.259698, 10.014930, 21.489027], [10.225294, 10.353079, 14.485575, 15.080057, 95.003866], [11.225551, 11.662245, 11.828978, 16.276246, 75.763515], [41.322464, 42.521431, 54.373491, 61.771301, 307.518332], [24.433309, 24.813900, 32.205551, 36.540967, 176.394756], [19.775170, 20.637726, 24.871561, 29.617768, 126.381979]]
### 8
mean: [2.483303, -1.001971, 5.208225, -1.219135, 0.134129, -0.584785, 2.956440]
std: [2.164776, 0.560297, 4.190160, 0.996079, 0.426193, 0.247250, 2.660535]
pca: [[0.389588, 0.445481, -0.416121, -0.210923, 0.416999, 0.417108, -0.290269, 0.000000, 0.000000, 0.000000], [-0.100660, -0.252305, 0.344290, 0.034852, -0.100801, 0.887829, 0.089768, 0.000000, 0.000000, 0.000000], [0.754352, -0.058490, -0.105161, 0.396978, -0.495873, 0.026595, 0.110838, 0.000000, 0.000000, 0.000000], [-0.179205, 0.314923, 0.030554, 0.812465, 0.388789, 0.045994, 0.233245, 0.000000, 0.000000, 0.000000], [-0.075180, 0.740545, 0.227813, -0.265704, -0.363237, 0.038699, 0.435895, 0.000000, 0.000000, 0.000000], [-0.043679, -0.271829, -0.562869, -0.162614, 0.126189, 0.081228, 0.747272, 0.000000, 0.000000, 0.000000], [0.478924, -0.113990, 0.572360, -0.198905, 0.520615, -0.163897, 0.304265, 0.000000, 0.000000, 0.000000]]
fourier: [[31.067911, 31.788752, 40.709030, 46.782407, 223.497298], [7.979052, 8.088345, 10.456548, 12.080567, 90.177391], [60.526394, 62.481614, 78.812368, 90.910254, 468.740248], [14.501778, 15.145457, 18.572695, 21.756559, 109.722198], [6.377683, 7.049188, 7.456865, 9.562566, 12.071599], [3.509926, 3.760680, 4.955254, 5.029931, 52.630687], [38.421682, 39.693383, 50.330667, 57.570895, 266.079674]]
### 10
mean: [-3.339006]
std: [3.069237]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[44.353316, 45.622701, 57.865786, 66.600476, 300.510542]]
## 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: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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-0.302327,
-0.105764,
-0.064138,
0.682391,
0.510663,
0.656369
],
[
-0.104676,
0.332299,
0.28432,
0.377295,
-0.039036,
-0.162802,
-0.313629
],
[
0.457087,
0.416835,
0.200807,
-0.03055,
-0.131429,
-0.311682,
-0.047612
],
[
-0.171698,
-0.137329,
0.338112,
-0.058809,
-0.283734,
0.278026,
0.228663
],
[
0.350491,
-0.288719,
-0.209305,
0.317915,
0.660252,
-0.032834,
0.248523
]
],
"network.8.bias": [
-0.11457,
-0.303627,
0.38441,
-0.246768,
0.343525,
-0.142983,
-0.113307
],
"network.10.weight": [
[
-0.256215,
-0.223035,
-0.326434,
-0.213826,
0.274493,
-0.080329,
-0.420368
]
],
"network.10.bias": [
0.194113
]
}
## Activation Signature
### 0
mean: [0.936494, 2.306192, 0.371026, 1.160857, 0.259877, 1.328156, 1.720375]
std: [1.061864, 1.845147, 1.138417, 1.246866, 1.386093, 1.495202, 1.417153]
pca: [[0.353949, 0.078125, 0.064140, 0.879410, 0.002716, -0.046889, 0.298220, 0.000000, 0.000000, 0.000000], [0.523589, 0.584403, -0.310464, -0.163343, -0.461718, 0.039853, -0.215608, 0.000000, 0.000000, 0.000000], [-0.232743, 0.227333, 0.524308, 0.166351, -0.199004, 0.689627, -0.276387, 0.000000, 0.000000, 0.000000], [0.358687, 0.223721, 0.398795, -0.397580, 0.284602, 0.173423, 0.626986, 0.000000, 0.000000, 0.000000], [0.371650, -0.074874, 0.591720, -0.033803, 0.145162, -0.459159, -0.522586, 0.000000, 0.000000, 0.000000], [-0.462047, 0.363315, 0.303615, 0.005374, -0.452540, -0.520447, 0.294356, 0.000000, 0.000000, 0.000000], [-0.257173, 0.642677, -0.152471, 0.114211, 0.663583, -0.094126, -0.187974, 0.000000, 0.000000, 0.000000]]
fourier: [[18.532247, 18.870896, 18.952685, 23.058360, 84.284491], [26.856732, 27.458361, 27.633759, 34.836246, 207.557248], [17.790658, 19.157205, 21.158508, 23.229451, 33.392376], [19.496832, 20.840663, 21.698563, 23.069357, 104.477116], [20.423120, 21.944485, 23.388957, 24.048566, 25.703686], [24.701439, 24.712444, 28.941832, 29.225781, 119.534052], [23.220287, 24.028604, 24.152903, 28.693965, 154.833720]]
### 2
mean: [1.914232, 0.933812, -0.062331, 1.080107, 0.233985, 1.405307, -2.099612]
std: [2.459051, 1.421262, 1.285541, 1.455935, 0.640816, 1.943290, 1.194547]
pca: [[0.627030, -0.100412, 0.101550, -0.291492, 0.489797, -0.462309, -0.218725, 0.000000, 0.000000, 0.000000], [0.337101, -0.425427, 0.122409, 0.748365, 0.057665, -0.002869, 0.356382, 0.000000, 0.000000, 0.000000], [0.195746, 0.882318, 0.121514, 0.241659, 0.148818, -0.033515, 0.294555, 0.000000, 0.000000, 0.000000], [0.369568, -0.083559, 0.089624, -0.483563, -0.485592, 0.038917, 0.614213, 0.000000, 0.000000, 0.000000], [-0.149158, -0.120712, -0.233742, -0.226386, 0.687065, 0.432706, 0.444973, 0.000000, 0.000000, 0.000000], [0.496063, 0.061674, 0.030105, 0.008551, -0.085919, 0.760686, -0.403872, 0.000000, 0.000000, 0.000000], [-0.223546, -0.071322, 0.946765, -0.106895, 0.139235, 0.133216, 0.004134, 0.000000, 0.000000, 0.000000]]
fourier: [[35.934632, 39.396799, 48.177360, 54.407283, 172.280929], [20.725403, 25.446888, 26.816542, 29.365378, 84.043115], [19.084080, 20.098927, 20.187866, 21.204170, 21.681888], [21.328355, 22.657242, 28.033055, 32.248388, 97.209638], [10.416271, 10.469276, 11.644660, 12.596231, 21.058638], [28.251305, 30.378938, 35.835724, 43.114223, 126.477645], [18.301830, 20.203102, 21.544777, 21.934783, 188.965099]]
### 4
mean: [-0.743825, -0.450149, 2.331379, 3.391019, 1.444540, -0.612143, -0.894445]
std: [0.596321, 0.763691, 1.822912, 3.046045, 1.294905, 1.162854, 0.502799]
pca: [[-0.123028, 0.566274, 0.674948, -0.178536, -0.009091, 0.347937, 0.235849, 0.000000, 0.000000, 0.000000], [-0.187362, 0.077519, 0.149993, -0.420202, 0.659124, -0.420549, -0.385374, 0.000000, 0.000000, 0.000000], [0.438879, 0.699531, -0.352248, -0.014846, -0.148450, -0.031427, -0.413180, 0.000000, 0.000000, 0.000000], [0.749639, -0.126363, 0.379869, 0.019150, 0.033279, -0.445056, 0.279686, 0.000000, 0.000000, 0.000000], [0.318615, -0.017315, -0.221227, 0.161266, 0.704120, 0.536846, 0.198111, 0.000000, 0.000000, 0.000000], [-0.280965, 0.401581, -0.320869, 0.201548, 0.155006, -0.447418, 0.626101, 0.000000, 0.000000, 0.000000], [-0.121362, 0.080290, 0.318857, 0.851082, 0.150055, -0.120950, -0.340103, 0.000000, 0.000000, 0.000000]]
fourier: [[9.471845, 9.582095, 10.506697, 12.302430, 66.944271], [11.461399, 11.639487, 13.531387, 16.494989, 40.513401], [25.004451, 25.615586, 35.752507, 37.032798, 209.824112], [44.501809, 46.335640, 55.788877, 67.110793, 305.191748], [19.041709, 19.749864, 23.922948, 28.315828, 130.008613], [17.687470, 18.779089, 19.626294, 26.275555, 55.092829], [7.552596, 7.724080, 8.898563, 11.444840, 80.500016]]
### 6
mean: [1.713272, 0.238767, -1.055598, -0.841817, 3.416870, 1.959942, 1.404244]
std: [1.359548, 0.456937, 0.734924, 0.718229, 2.860366, 1.698475, 1.344675]
pca: [[0.339869, 0.368676, -0.124566, 0.122202, -0.586164, -0.154424, 0.592184, 0.000000, 0.000000, 0.000000], [-0.098307, 0.654695, -0.465475, -0.196026, 0.469410, 0.265662, 0.125280, 0.000000, 0.000000, 0.000000], [-0.182834, -0.282826, -0.104842, 0.548768, 0.007178, 0.681953, 0.330654, 0.000000, 0.000000, 0.000000], [-0.173327, 0.534393, 0.643652, 0.489205, 0.128659, -0.076587, -0.091400, 0.000000, 0.000000, 0.000000], [0.718324, 0.030449, 0.392938, -0.258830, 0.121700, 0.494767, -0.045671, 0.000000, 0.000000, 0.000000], [0.426362, 0.095186, -0.432983, 0.519366, -0.073615, -0.045369, -0.586910, 0.000000, 0.000000, 0.000000], [0.337018, -0.244740, -0.025752, 0.263513, 0.631848, -0.433358, 0.411567, 0.000000, 0.000000, 0.000000]]
fourier: [[19.062946, 19.071075, 26.441599, 28.420130, 154.194523], [6.867043, 7.503655, 8.259698, 10.014930, 21.489027], [10.225294, 10.353079, 14.485575, 15.080057, 95.003866], [11.225551, 11.662245, 11.828978, 16.276246, 75.763515], [41.322464, 42.521431, 54.373491, 61.771301, 307.518332], [24.433309, 24.813900, 32.205551, 36.540967, 176.394756], [19.775170, 20.637726, 24.871561, 29.617768, 126.381979]]
### 8
mean: [2.483303, -1.001971, 5.208225, -1.219135, 0.134129, -0.584785, 2.956440]
std: [2.164776, 0.560297, 4.190160, 0.996079, 0.426193, 0.247250, 2.660535]
pca: [[0.389588, 0.445481, -0.416121, -0.210923, 0.416999, 0.417108, -0.290269, 0.000000, 0.000000, 0.000000], [-0.100660, -0.252305, 0.344290, 0.034852, -0.100801, 0.887829, 0.089768, 0.000000, 0.000000, 0.000000], [0.754352, -0.058490, -0.105161, 0.396978, -0.495873, 0.026595, 0.110838, 0.000000, 0.000000, 0.000000], [-0.179205, 0.314923, 0.030554, 0.812465, 0.388789, 0.045994, 0.233245, 0.000000, 0.000000, 0.000000], [-0.075180, 0.740545, 0.227813, -0.265704, -0.363237, 0.038699, 0.435895, 0.000000, 0.000000, 0.000000], [-0.043679, -0.271829, -0.562869, -0.162614, 0.126189, 0.081228, 0.747272, 0.000000, 0.000000, 0.000000], [0.478924, -0.113990, 0.572360, -0.198905, 0.520615, -0.163897, 0.304265, 0.000000, 0.000000, 0.000000]]
fourier: [[31.067911, 31.788752, 40.709030, 46.782407, 223.497298], [7.979052, 8.088345, 10.456548, 12.080567, 90.177391], [60.526394, 62.481614, 78.812368, 90.910254, 468.740248], [14.501778, 15.145457, 18.572695, 21.756559, 109.722198], [6.377683, 7.049188, 7.456865, 9.562566, 12.071599], [3.509926, 3.760680, 4.955254, 5.029931, 52.630687], [38.421682, 39.693383, 50.330667, 57.570895, 266.079674]]
### 10
mean: [-3.339006]
std: [3.069237]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[44.353316, 45.622701, 57.865786, 66.600476, 300.510542]]
## 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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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.504382, 0.349153, -0.065975, -0.016689, 0.292901], [-0.618059, 0.327504, 0.330628, 0.531947, 0.104924], [0.365223, 0.158277, -0.019305, -0.182496, 0.32409], [-0.246169, 0.097345, -0.082161, 0.234114, 0.557177], [-0.31444, 0.042599, -0.230131, -0.011254, 0.71658], [0.608998, 0.133061, 0.153966, -0.149563, 0.009852], [0.378447, 0.360189, 0.151324, 0.20967, -0.250465]], "network.0.bias": [0.740296, 0.517765, -0.339921, 0.272214, 0.194625, 0.314786, 0.136255], "network.2.weight": [[0.615407, 0.546372, -0.327406, 0.24686, 0.483287, -0.450298, -0.155211], [0.173282, 0.682943, -0.042773, -0.055217, -0.042328, -0.180527, -0.300786], [0.444809, -0.191928, 0.193213, 0.380025, 0.30871, 0.087902, -0.535799], [0.202222, 0.223799, -0.171525, 0.292648, 0.253194, -0.471388, 0.064174], [-0.200762, -0.016375, -0.106272, -0.304541, 0.208336, 0.164956, 0.238822], [0.372584, 0.399781, -0.420403, 0.486651, 0.305909, -0.126196, -0.280729], [-0.17328, -0.339247, -0.269113, -0.277609, -0.332858, 0.006637, -0.119968]], "network.2.bias": [0.428961, 0.00228, -0.044357, 0.445532, 0.156577, 0.190456, -0.19122], "network.4.weight": [[-0.188108, 0.083687, -0.360742, 0.208259, -0.274926, -0.210295, 0.108277], [0.05862, -0.268756, -0.242, -0.161883, -0.003528, -0.202764, -0.266365], [0.389999, 0.590693, -0.051527, 0.497156, 0.022001, -0.007483, 0.209087], [0.51324, 0.459462, 0.554693, 0.408418, -0.30604, 0.502667, 0.259912], [0.455071, 0.232835, 0.247712, 0.039276, 0.025366, 0.019391, -0.168869], [-0.140301, 0.02269, -0.361288, -0.178699, 0.157368, -0.28138, -0.190058], [-0.24107, 0.200151, 0.022192, -0.246197, -0.160505, -0.001394, -0.051227]], "network.4.bias": [-0.068862, 0.407083, 0.111339, 0.136192, -0.079332, 0.501154, -0.215588], "network.6.weight": [[0.259029, -0.120285, 0.509775, 0.051743, 0.198424, -0.100528, -0.068579], [0.140946, 0.084412, 0.512214, -0.343196, -0.185289, 0.270283, 0.029478], [0.189758, -0.148132, -0.346023, -0.020808, -0.015545, 0.234287, 0.153729], [0.038556, -0.403958, 0.266254, -0.498768, 0.220971, 0.021976, -0.261992], [-0.280385, -0.19049, 0.438863, 0.50927, 0.345278, -0.567169, -0.21424], [-0.359139, -0.28338, 0.356096, 0.270074, 0.183564, 0.064606, 0.179242], [0.007485, -0.255186, 0.004653, 0.380297, 0.125721, -0.087872, -0.161954]], "network.6.bias": [0.082759, 0.448787, -0.174631, -0.039033, 0.236092, -0.050033, -0.062668], "network.8.weight": [[0.395337, 0.081984, -0.088152, -0.146669, 0.058803, 0.49822, 0.491719], [-0.142271, -0.10501, -0.130656, 0.316191, 0.110337, -0.245842, -0.218291], [0.364641, -0.302327, -0.105764, -0.064138, 0.682391, 0.510663, 0.656369], [-0.104676, 0.332299, 0.28432, 0.377295, -0.039036, -0.162802, -0.313629], [0.457087, 0.416835, 0.200807, -0.03055, -0.131429, -0.311682, -0.047612], [-0.171698, -0.137329, 0.338112, -0.058809, -0.283734, 0.278026, 0.228663], [0.350491, -0.288719, -0.209305, 0.317915, 0.660252, -0.032834, 0.248523]], "network.8.bias": [-0.11457, -0.303627, 0.38441, -0.246768, 0.343525, -0.142983, -0.113307], "network.10.weight": [[-0.256215, -0.223035, -0.326434, -0.213826, 0.274493, -0.080329, -0.420368]], "network.10.bias": [0.194113]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7245835065841675, "train_acc": 0.425, "val_loss": 0.6864784955978394, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7025562822818756, "train_acc": 0.425, "val_loss": 0.6818708777427673, "val_acc": 0.7}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6764244735240936, "train_acc": 0.685, "val_loss": 0.6674371361732483, "val_acc": 0.46}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6330043971538544, "train_acc": 0.575, "val_loss": 0.6322153806686401, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.564109593629837, "train_acc": 0.51, "val_loss": 0.5024741888046265, "val_acc": 0.56}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.42171451449394226, "train_acc": 0.695, "val_loss": 0.4168251156806946, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.35786230862140656, "train_acc": 0.945, "val_loss": 0.36152756214141846, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.3261001855134964, "train_acc": 0.94, "val_loss": 0.32217171788215637, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.2757958099246025, "train_acc": 0.94, "val_loss": 0.28543156385421753, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.2360360473394394, "train_acc": 0.945, "val_loss": 0.24761249125003815, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.21064843982458115, "train_acc": 0.95, "val_loss": 0.2083544135093689, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.18738070130348206, "train_acc": 0.95, "val_loss": 0.18241938948631287, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.1558501198887825, "train_acc": 0.95, "val_loss": 0.18423332273960114, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.17914165556430817, "train_acc": 0.95, "val_loss": 0.1905847191810608, "val_acc": 0.94}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6864784955978394, "final_val_loss": 0.6322153806686401, "initial_val_acc": 0.54, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.5024741888046265, "final_val_loss": 0.1905847191810608, "initial_val_acc": 0.56, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 6}, "improvement": 0.4799999999999999, "first_improvement_epoch": 3}}
|
9,454
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.62, "improved_accuracy": 0.84, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3154, "learning_rate": 0.08904327204980945, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "increasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["increasing_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: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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"network.0.bias": [
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"network.2.weight": [
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## Activation Signature
### 0
mean: [-2.671136, 3.864204, 0.037825, 5.318830, -0.607311, -1.771327, -2.440756]
std: [2.270092, 3.661003, 3.300534, 4.483954, 3.751765, 1.279297, 2.265478]
pca: [[0.097010, 0.401556, 0.710896, 0.073690, 0.554779, -0.004884, -0.103612, 0.000000, 0.000000, 0.000000], [0.502618, -0.260396, 0.092407, 0.026187, 0.129315, -0.030522, 0.807893, 0.000000, 0.000000, 0.000000], [-0.418060, -0.299773, -0.344030, 0.342144, 0.701024, 0.043799, 0.081174, 0.000000, 0.000000, 0.000000], [0.592320, -0.435200, -0.110090, -0.252658, 0.288591, 0.144841, -0.528714, 0.000000, 0.000000, 0.000000], [0.454979, 0.401174, -0.352479, 0.678750, -0.035286, -0.165406, -0.136038, 0.000000, 0.000000, 0.000000], [0.045645, 0.316631, -0.179155, -0.059889, 0.031933, 0.919323, 0.125711, 0.000000, 0.000000, 0.000000], [0.057074, 0.480092, -0.446401, -0.590506, 0.313869, -0.321920, 0.127032, 0.000000, 0.000000, 0.000000]]
fourier: [[37.076661, 37.958091, 39.313781, 41.127426, 240.402283], [58.167343, 58.942061, 63.798336, 67.738410, 347.778345], [46.448906, 46.517426, 46.604193, 48.606057, 61.538673], [73.463787, 74.417351, 78.612704, 78.830834, 478.694731], [54.658032, 56.191371, 60.890891, 74.536252, 80.363661], [17.849713, 19.579381, 21.323318, 21.931957, 159.419405], [32.016294, 36.194015, 37.624100, 41.820019, 219.668022]]
### 2
mean: [-2.678228, -3.026661, -1.689667, -3.987991, -6.640760, 15.934675, -2.288620]
std: [1.545089, 2.642809, 1.493523, 6.202583, 6.892002, 15.512240, 3.573454]
pca: [[-0.067671, -0.473903, 0.308588, -0.161518, 0.655954, 0.377813, 0.276593, 0.000000, 0.000000, 0.000000], [-0.136936, -0.270345, 0.655436, 0.334869, -0.007510, -0.533624, -0.285688, 0.000000, 0.000000, 0.000000], [-0.079217, -0.078717, 0.239886, -0.088173, -0.469575, -0.136360, 0.826507, 0.000000, 0.000000, 0.000000], [-0.327867, 0.557598, 0.469670, -0.572524, 0.013294, 0.100236, -0.151624, 0.000000, 0.000000, 0.000000], [-0.369617, 0.123559, 0.173248, 0.591358, -0.237050, 0.640797, -0.039812, 0.000000, 0.000000, 0.000000], [0.831983, 0.301334, 0.392933, 0.157142, 0.027254, 0.184165, 0.057029, 0.000000, 0.000000, 0.000000], [-0.184619, 0.528345, -0.112388, 0.389639, 0.540421, -0.315158, 0.361853, 0.000000, 0.000000, 0.000000]]
fourier: [[25.262802, 29.034181, 30.828314, 33.269706, 241.040519], [45.285103, 45.620295, 46.486973, 47.907569, 272.399510], [23.724767, 24.449809, 26.609577, 28.523850, 152.070050], [88.826714, 97.432460, 104.578136, 140.557793, 358.919158], [104.349101, 105.764985, 120.929902, 142.242841, 597.668435], [239.884268, 243.755289, 272.733483, 301.762838, 1434.120693], [54.069876, 55.327883, 57.831943, 83.387132, 205.975821]]
### 4
mean: [9.822701, -3.526887, -2.249003, -1.342371, -5.160403, -2.266766, -7.422535]
std: [10.274098, 2.391424, 1.826371, 1.128480, 4.251603, 4.523394, 5.290021]
pca: [[0.797644, 0.241012, -0.093249, 0.110690, -0.075675, -0.127434, 0.512604, 0.000000, 0.000000, 0.000000], [-0.114669, 0.442783, -0.433995, 0.216532, 0.726993, -0.141733, -0.083367, 0.000000, 0.000000, 0.000000], [-0.134785, 0.138314, 0.620620, 0.697293, 0.119275, 0.213353, 0.177677, 0.000000, 0.000000, 0.000000], [0.002313, 0.264827, -0.085013, -0.302037, 0.070671, 0.895800, 0.154774, 0.000000, 0.000000, 0.000000], [-0.325847, 0.186798, -0.546330, 0.429896, -0.590220, 0.058599, 0.154433, 0.000000, 0.000000, 0.000000], [-0.310967, -0.502302, -0.132293, -0.068064, 0.276248, -0.036277, 0.742448, 0.000000, 0.000000, 0.000000], [-0.359951, 0.607776, 0.307538, -0.417102, -0.147855, -0.333083, 0.315727, 0.000000, 0.000000, 0.000000]]
fourier: [[152.473488, 158.640704, 176.070077, 217.447634, 884.043153], [34.698193, 46.856379, 47.973698, 50.197529, 317.419791], [30.282294, 31.142070, 33.531925, 34.764433, 202.410242], [16.048152, 16.877119, 17.460571, 23.706456, 120.813349], [68.517306, 73.304381, 73.938403, 76.831110, 464.436278], [68.949093, 72.905319, 74.235453, 106.646314, 204.008911], [93.469594, 96.548117, 98.769044, 105.272954, 668.028111]]
### 6
mean: [1.935410, -1.122913, 0.791759, -3.985382, 9.453319, -4.533072, -3.918913]
std: [3.660443, 0.779269, 2.370122, 5.094325, 9.707420, 4.684820, 5.014539]
pca: [[0.257696, 0.604759, 0.081584, -0.233152, -0.497182, 0.087333, -0.502023, 0.000000, 0.000000, 0.000000], [0.016136, 0.411882, 0.085735, -0.367147, 0.818917, -0.031925, -0.127675, 0.000000, 0.000000, 0.000000], [0.163171, 0.470172, -0.038210, 0.829998, 0.161309, 0.143649, 0.123703, 0.000000, 0.000000, 0.000000], [-0.375421, -0.150476, -0.020612, 0.045403, 0.086022, 0.844491, -0.336698, 0.000000, 0.000000, 0.000000], [0.715076, -0.326021, 0.549140, 0.002608, 0.104605, 0.264291, 0.004731, 0.000000, 0.000000, 0.000000], [-0.343149, 0.315279, 0.577657, -0.168059, -0.187985, 0.182546, 0.593511, 0.000000, 0.000000, 0.000000], [-0.369704, -0.123389, 0.590649, 0.302714, 0.049839, -0.392914, -0.500727, 0.000000, 0.000000, 0.000000]]
fourier: [[56.165436, 59.164628, 59.240904, 85.645250, 174.186873], [11.521716, 11.829625, 12.609862, 15.195626, 101.062162], [35.898414, 38.772017, 38.860875, 55.538580, 71.258299], [76.057749, 79.779176, 84.153829, 113.894331, 358.684447], [142.076887, 150.994122, 167.461052, 207.907818, 850.798702], [71.177114, 72.303191, 82.253884, 97.442152, 407.976551], [74.562000, 78.516626, 83.159266, 111.793400, 352.702193]]
### 8
mean: [-5.919775, -1.589423, -4.946731, -4.873988, -2.895257, 10.146118, -2.133849]
std: [4.955384, 1.258343, 5.637706, 3.874297, 2.231201, 9.767523, 1.885847]
pca: [[-0.374541, 0.335055, 0.658492, -0.449431, -0.054266, 0.056620, -0.325126, 0.000000, 0.000000, 0.000000], [-0.096564, 0.046426, -0.146192, -0.163032, 0.886021, 0.394274, 0.009138, 0.000000, 0.000000, 0.000000], [-0.429143, -0.313648, -0.299960, -0.390588, -0.382461, 0.512624, 0.256645, 0.000000, 0.000000, 0.000000], [-0.258258, 0.644994, -0.301890, 0.477507, -0.175170, 0.345056, -0.219971, 0.000000, 0.000000, 0.000000], [-0.170866, 0.093861, -0.591743, -0.412385, 0.032934, -0.506908, -0.428642, 0.000000, 0.000000, 0.000000], [0.751237, 0.291172, -0.105481, -0.419571, -0.180554, 0.345364, -0.108722, 0.000000, 0.000000, 0.000000], [-0.077344, 0.526877, -0.051159, -0.211566, 0.037113, -0.288554, 0.764461, 0.000000, 0.000000, 0.000000]]
fourier: [[79.333935, 87.902251, 89.261353, 89.308807, 532.779800], [19.314812, 21.467499, 22.707809, 24.376056, 143.048029], [83.146682, 88.533260, 94.813568, 125.044941, 445.205729], [67.265876, 68.568444, 68.686847, 78.071314, 438.658899], [34.041700, 38.736463, 40.485289, 42.713737, 260.573195], [142.321840, 152.422544, 168.567976, 210.349168, 913.150575], [28.410805, 34.163807, 37.367580, 37.926770, 192.046458]]
### 10
mean: [-10.863073]
std: [9.576012]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[148.042742, 152.568954, 170.140176, 197.529813, 977.676594]]
## 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.
|
increasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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0.345403,
0.015945,
-1.020633,
0.029392
]
],
"network.10.bias": [
-0.242623
]
}
## Activation Signature
### 0
mean: [-2.671136, 3.864204, 0.037825, 5.318830, -0.607311, -1.771327, -2.440756]
std: [2.270092, 3.661003, 3.300534, 4.483954, 3.751765, 1.279297, 2.265478]
pca: [[0.097010, 0.401556, 0.710896, 0.073690, 0.554779, -0.004884, -0.103612, 0.000000, 0.000000, 0.000000], [0.502618, -0.260396, 0.092407, 0.026187, 0.129315, -0.030522, 0.807893, 0.000000, 0.000000, 0.000000], [-0.418060, -0.299773, -0.344030, 0.342144, 0.701024, 0.043799, 0.081174, 0.000000, 0.000000, 0.000000], [0.592320, -0.435200, -0.110090, -0.252658, 0.288591, 0.144841, -0.528714, 0.000000, 0.000000, 0.000000], [0.454979, 0.401174, -0.352479, 0.678750, -0.035286, -0.165406, -0.136038, 0.000000, 0.000000, 0.000000], [0.045645, 0.316631, -0.179155, -0.059889, 0.031933, 0.919323, 0.125711, 0.000000, 0.000000, 0.000000], [0.057074, 0.480092, -0.446401, -0.590506, 0.313869, -0.321920, 0.127032, 0.000000, 0.000000, 0.000000]]
fourier: [[37.076661, 37.958091, 39.313781, 41.127426, 240.402283], [58.167343, 58.942061, 63.798336, 67.738410, 347.778345], [46.448906, 46.517426, 46.604193, 48.606057, 61.538673], [73.463787, 74.417351, 78.612704, 78.830834, 478.694731], [54.658032, 56.191371, 60.890891, 74.536252, 80.363661], [17.849713, 19.579381, 21.323318, 21.931957, 159.419405], [32.016294, 36.194015, 37.624100, 41.820019, 219.668022]]
### 2
mean: [-2.678228, -3.026661, -1.689667, -3.987991, -6.640760, 15.934675, -2.288620]
std: [1.545089, 2.642809, 1.493523, 6.202583, 6.892002, 15.512240, 3.573454]
pca: [[-0.067671, -0.473903, 0.308588, -0.161518, 0.655954, 0.377813, 0.276593, 0.000000, 0.000000, 0.000000], [-0.136936, -0.270345, 0.655436, 0.334869, -0.007510, -0.533624, -0.285688, 0.000000, 0.000000, 0.000000], [-0.079217, -0.078717, 0.239886, -0.088173, -0.469575, -0.136360, 0.826507, 0.000000, 0.000000, 0.000000], [-0.327867, 0.557598, 0.469670, -0.572524, 0.013294, 0.100236, -0.151624, 0.000000, 0.000000, 0.000000], [-0.369617, 0.123559, 0.173248, 0.591358, -0.237050, 0.640797, -0.039812, 0.000000, 0.000000, 0.000000], [0.831983, 0.301334, 0.392933, 0.157142, 0.027254, 0.184165, 0.057029, 0.000000, 0.000000, 0.000000], [-0.184619, 0.528345, -0.112388, 0.389639, 0.540421, -0.315158, 0.361853, 0.000000, 0.000000, 0.000000]]
fourier: [[25.262802, 29.034181, 30.828314, 33.269706, 241.040519], [45.285103, 45.620295, 46.486973, 47.907569, 272.399510], [23.724767, 24.449809, 26.609577, 28.523850, 152.070050], [88.826714, 97.432460, 104.578136, 140.557793, 358.919158], [104.349101, 105.764985, 120.929902, 142.242841, 597.668435], [239.884268, 243.755289, 272.733483, 301.762838, 1434.120693], [54.069876, 55.327883, 57.831943, 83.387132, 205.975821]]
### 4
mean: [9.822701, -3.526887, -2.249003, -1.342371, -5.160403, -2.266766, -7.422535]
std: [10.274098, 2.391424, 1.826371, 1.128480, 4.251603, 4.523394, 5.290021]
pca: [[0.797644, 0.241012, -0.093249, 0.110690, -0.075675, -0.127434, 0.512604, 0.000000, 0.000000, 0.000000], [-0.114669, 0.442783, -0.433995, 0.216532, 0.726993, -0.141733, -0.083367, 0.000000, 0.000000, 0.000000], [-0.134785, 0.138314, 0.620620, 0.697293, 0.119275, 0.213353, 0.177677, 0.000000, 0.000000, 0.000000], [0.002313, 0.264827, -0.085013, -0.302037, 0.070671, 0.895800, 0.154774, 0.000000, 0.000000, 0.000000], [-0.325847, 0.186798, -0.546330, 0.429896, -0.590220, 0.058599, 0.154433, 0.000000, 0.000000, 0.000000], [-0.310967, -0.502302, -0.132293, -0.068064, 0.276248, -0.036277, 0.742448, 0.000000, 0.000000, 0.000000], [-0.359951, 0.607776, 0.307538, -0.417102, -0.147855, -0.333083, 0.315727, 0.000000, 0.000000, 0.000000]]
fourier: [[152.473488, 158.640704, 176.070077, 217.447634, 884.043153], [34.698193, 46.856379, 47.973698, 50.197529, 317.419791], [30.282294, 31.142070, 33.531925, 34.764433, 202.410242], [16.048152, 16.877119, 17.460571, 23.706456, 120.813349], [68.517306, 73.304381, 73.938403, 76.831110, 464.436278], [68.949093, 72.905319, 74.235453, 106.646314, 204.008911], [93.469594, 96.548117, 98.769044, 105.272954, 668.028111]]
### 6
mean: [1.935410, -1.122913, 0.791759, -3.985382, 9.453319, -4.533072, -3.918913]
std: [3.660443, 0.779269, 2.370122, 5.094325, 9.707420, 4.684820, 5.014539]
pca: [[0.257696, 0.604759, 0.081584, -0.233152, -0.497182, 0.087333, -0.502023, 0.000000, 0.000000, 0.000000], [0.016136, 0.411882, 0.085735, -0.367147, 0.818917, -0.031925, -0.127675, 0.000000, 0.000000, 0.000000], [0.163171, 0.470172, -0.038210, 0.829998, 0.161309, 0.143649, 0.123703, 0.000000, 0.000000, 0.000000], [-0.375421, -0.150476, -0.020612, 0.045403, 0.086022, 0.844491, -0.336698, 0.000000, 0.000000, 0.000000], [0.715076, -0.326021, 0.549140, 0.002608, 0.104605, 0.264291, 0.004731, 0.000000, 0.000000, 0.000000], [-0.343149, 0.315279, 0.577657, -0.168059, -0.187985, 0.182546, 0.593511, 0.000000, 0.000000, 0.000000], [-0.369704, -0.123389, 0.590649, 0.302714, 0.049839, -0.392914, -0.500727, 0.000000, 0.000000, 0.000000]]
fourier: [[56.165436, 59.164628, 59.240904, 85.645250, 174.186873], [11.521716, 11.829625, 12.609862, 15.195626, 101.062162], [35.898414, 38.772017, 38.860875, 55.538580, 71.258299], [76.057749, 79.779176, 84.153829, 113.894331, 358.684447], [142.076887, 150.994122, 167.461052, 207.907818, 850.798702], [71.177114, 72.303191, 82.253884, 97.442152, 407.976551], [74.562000, 78.516626, 83.159266, 111.793400, 352.702193]]
### 8
mean: [-5.919775, -1.589423, -4.946731, -4.873988, -2.895257, 10.146118, -2.133849]
std: [4.955384, 1.258343, 5.637706, 3.874297, 2.231201, 9.767523, 1.885847]
pca: [[-0.374541, 0.335055, 0.658492, -0.449431, -0.054266, 0.056620, -0.325126, 0.000000, 0.000000, 0.000000], [-0.096564, 0.046426, -0.146192, -0.163032, 0.886021, 0.394274, 0.009138, 0.000000, 0.000000, 0.000000], [-0.429143, -0.313648, -0.299960, -0.390588, -0.382461, 0.512624, 0.256645, 0.000000, 0.000000, 0.000000], [-0.258258, 0.644994, -0.301890, 0.477507, -0.175170, 0.345056, -0.219971, 0.000000, 0.000000, 0.000000], [-0.170866, 0.093861, -0.591743, -0.412385, 0.032934, -0.506908, -0.428642, 0.000000, 0.000000, 0.000000], [0.751237, 0.291172, -0.105481, -0.419571, -0.180554, 0.345364, -0.108722, 0.000000, 0.000000, 0.000000], [-0.077344, 0.526877, -0.051159, -0.211566, 0.037113, -0.288554, 0.764461, 0.000000, 0.000000, 0.000000]]
fourier: [[79.333935, 87.902251, 89.261353, 89.308807, 532.779800], [19.314812, 21.467499, 22.707809, 24.376056, 143.048029], [83.146682, 88.533260, 94.813568, 125.044941, 445.205729], [67.265876, 68.568444, 68.686847, 78.071314, 438.658899], [34.041700, 38.736463, 40.485289, 42.713737, 260.573195], [142.321840, 152.422544, 168.567976, 210.349168, 913.150575], [28.410805, 34.163807, 37.367580, 37.926770, 192.046458]]
### 10
mean: [-10.863073]
std: [9.576012]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[148.042742, 152.568954, 170.140176, 197.529813, 977.676594]]
## 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.
increasing_pairs
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.701198, 0.141131, -0.982156, -0.240632, -0.393739], [1.216573, 0.804311, 0.50902, -0.12956, -0.276042], [-1.14727, -0.499458, 0.028907, 0.541593, 0.988212], [1.135534, 1.197722, 0.897217, -0.2566, -0.183283], [1.620762, -0.355712, 0.236891, -0.725641, -0.343344], [0.164792, -0.169611, -0.083579, -0.496824, -0.152946], [-0.13333, 0.090937, 0.013858, -1.07179, -0.176228]], "network.0.bias": [-0.747664, 0.439611, -0.064932, 0.625331, -0.491358, -0.2387, 0.046252], "network.2.weight": [[-0.121457, -0.425846, -0.424363, 0.059347, -0.193936, -0.592025, -0.453645], [-0.479328, -0.344542, -0.110307, -0.135963, -0.402177, 0.067839, -0.186296], [-0.045034, -0.145387, 0.015311, -0.123444, -0.211379, -0.119759, 0.195153], [0.30066, -0.577146, 0.944648, -0.474082, -0.607851, 0.282643, -0.177512], [-0.442506, -0.485987, 0.54991, -0.817594, -0.538818, 0.169315, -0.364303], [0.182514, 1.56156, -0.590565, 1.724755, 0.976129, 0.158664, -0.22307], [-0.097358, -0.161853, 0.751862, -0.427763, -0.150953, 0.36674, -0.269528]], "network.2.bias": [-0.589059, -0.284474, -0.221741, 0.432344, -0.284487, 0.086728, -0.024938], "network.4.weight": [[0.473238, -0.265389, -0.114571, -0.609606, -0.524925, 0.618639, -0.432602], [0.337807, -0.173122, -0.275273, -0.722086, -0.063879, -0.1473, -0.555266], [-0.242251, 0.28104, -0.13559, -0.374844, -0.277255, -0.125606, 0.247213], [-0.453752, 0.104611, 0.156375, -0.306444, -0.145188, -0.030137, -0.498998], [-0.394339, 0.148948, -0.251796, -0.351598, 0.260151, -0.288122, -0.105703], [-0.41543, -0.103071, 0.253759, 0.853667, 0.548305, -0.192054, 0.676854], [0.440884, 0.024272, -0.344971, -0.674528, -0.354986, -0.365276, -0.879128]], "network.4.bias": [0.518094, -0.478175, -0.06641, -0.434643, -0.318635, -0.074459, -0.707865], "network.6.weight": [[0.259406, 0.171919, 0.305686, 0.015778, 0.179142, -0.774991, 0.009854], [-0.023548, -0.401957, -0.216766, 0.021038, 0.131273, -0.326616, -0.738544], [0.154973, -0.624625, -0.196782, 0.306471, 0.519105, -0.555585, -0.612108], [-0.455635, -0.088435, 0.238672, -0.411936, -0.151782, 0.585845, 0.149793], [0.93304, -0.192775, 0.100626, 0.099625, 0.038251, -0.660366, 0.182713], [-0.464643, -0.204672, 0.284044, 0.083945, -0.241393, 0.198802, 0.592338], [-0.451335, -0.238977, 0.073799, -0.318572, -0.145184, 0.558487, 0.187019]], "network.6.bias": [-0.107323, -0.619245, -0.354365, 0.224189, 0.400694, 0.079285, 0.268433], "network.8.weight": [[-0.589059, 0.063259, -0.706488, -0.668706, -0.28789, -0.073232, 0.298142], [-0.031789, -0.305535, 0.001735, 0.108679, -0.131305, -0.22486, -0.07218], [-0.02483, -0.319307, 0.312594, 0.462698, -0.591829, 0.250013, 0.368734], [-0.187225, -0.102771, -0.28201, -0.492058, -0.35116, -0.531608, -0.51705], [-0.052129, -0.241841, 0.326058, -0.279495, -0.287394, -0.198536, 0.245486], [0.150774, 0.105971, 0.112302, -0.386831, 0.936671, -0.446934, -0.567021], [-0.289918, 0.143211, -0.25961, -0.501442, -0.059579, -0.434443, -0.39677]], "network.8.bias": [-0.458023, -0.195678, 0.132462, 0.002783, -0.290499, 0.871072, 0.026185], "network.10.weight": [[-0.135285, -0.01499, 0.306971, 0.345403, 0.015945, -1.020633, 0.029392]], "network.10.bias": [-0.242623]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6734361350536346, "train_acc": 0.575, "val_loss": 0.6740319728851318, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6057008504867554, "train_acc": 0.645, "val_loss": 0.5562199354171753, "val_acc": 0.62}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.7924002408981323, "train_acc": 0.565, "val_loss": 0.7065865397453308, "val_acc": 0.54}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6192993521690369, "train_acc": 0.66, "val_loss": 0.6330852508544922, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.6376142501831055, "train_acc": 0.63, "val_loss": 0.6468729972839355, "val_acc": 0.5}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.6327781081199646, "train_acc": 0.5, "val_loss": 0.6161655187606812, "val_acc": 0.5}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.5892634391784668, "train_acc": 0.505, "val_loss": 0.5474969148635864, "val_acc": 0.7}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.5048870891332626, "train_acc": 0.8, "val_loss": 0.4451839327812195, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.3858744353055954, "train_acc": 0.81, "val_loss": 0.43703213334083557, "val_acc": 0.8}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.4011271744966507, "train_acc": 0.81, "val_loss": 0.47845786809921265, "val_acc": 0.82}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.38881465792655945, "train_acc": 0.845, "val_loss": 0.3868251442909241, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.49849268794059753, "train_acc": 0.835, "val_loss": 0.40540263056755066, "val_acc": 0.82}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6740319728851318, "final_val_loss": 0.5562199354171753, "initial_val_acc": 0.5, "final_val_acc": 0.62, "best_val_acc": 0.62}, "improved_stage": {"initial_val_loss": 0.7065865397453308, "final_val_loss": 0.40540263056755066, "initial_val_acc": 0.54, "final_val_acc": 0.82, "best_val_acc": 0.84, "best_epoch": 10}, "improvement": 0.21999999999999997, "first_improvement_epoch": 1}}
|
9,455
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.44, "improved_accuracy": 0.9, "improvement": 0.46, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6618, "learning_rate": 0.08022797404379474, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "mountain_pattern", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["mountain_pattern"], "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: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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0.964783,
0.834905,
0.011391
]
],
"network.8.bias": [
-0.442169,
-0.32642,
-0.528836,
-0.513899,
-0.406324
],
"network.10.weight": [
[
-0.416967,
-0.231126,
-0.091068,
0.069649,
-0.42068
]
],
"network.10.bias": [
1.088572
]
}
## Activation Signature
### 0
mean: [1.432769, -2.127717, 2.346875, -2.656494, 2.912669]
std: [2.703993, 1.667794, 3.474859, 1.976479, 4.737574]
pca: [[0.411621, -0.145864, 0.305708, 0.833694, 0.144187, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.175307, 0.309733, 0.562628, -0.190346, 0.721492, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.455309, 0.838701, -0.296878, 0.032420, -0.009358, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.226002, 0.333408, 0.622609, 0.057224, -0.668465, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.735835, -0.261170, 0.337955, -0.514196, -0.108287, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.726156, 42.530582, 43.315302, 44.221298, 128.949228], [25.333279, 26.150404, 31.798196, 35.357206, 191.494528], [56.203019, 59.155982, 59.184289, 64.681609, 211.218797], [30.090157, 30.298752, 37.981415, 42.060737, 239.084466], [78.163450, 78.629762, 79.707560, 83.339339, 262.140243]]
### 2
mean: [4.903406, -3.231682, 4.774147, 0.707415, 6.231444]
std: [6.689834, 3.848394, 6.566075, 1.412978, 8.130224]
pca: [[0.513491, 0.363647, 0.426940, 0.644239, 0.082255, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.296023, 0.094713, 0.766636, -0.378575, 0.415151, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.503414, -0.419476, -0.202499, -0.121877, 0.717464, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.061001, 0.810132, -0.413248, -0.181907, 0.368920, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.625740, 0.162842, 0.134951, -0.627450, -0.412344, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[109.428667, 112.499625, 112.513640, 115.572544, 441.306521], [63.580454, 64.401043, 64.859699, 68.906950, 290.851385], [110.935241, 111.481741, 112.371441, 118.372213, 429.673182], [22.003688, 22.320816, 27.757249, 28.081435, 63.667317], [133.818739, 135.313044, 137.716467, 142.739460, 560.829974]]
### 4
mean: [-3.531954, 7.146661, 9.909939, -3.296252, -1.797899]
std: [3.979573, 11.408559, 14.253027, 3.275716, 1.646614]
pca: [[-0.206323, 0.598072, -0.088904, -0.206610, 0.741046, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.599162, 0.593627, -0.152276, -0.304633, -0.415479, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.749767, -0.183696, 0.232779, 0.344390, 0.480952, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.170653, 0.400742, 0.830663, 0.289828, -0.190477, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.084634, 0.309157, -0.474047, 0.813576, -0.103113, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[65.424144, 67.145366, 67.412537, 68.061653, 317.875895], [191.135726, 191.654188, 198.422442, 208.268480, 643.199459], [238.291501, 238.705386, 241.866230, 255.174787, 891.894438], [54.455464, 55.161813, 55.727015, 55.803178, 296.662721], [27.031376, 27.337452, 27.795129, 28.332904, 161.810951]]
### 6
mean: [12.342854, -0.330498, 9.420247, 10.796727, -3.412467]
std: [18.339546, 0.664771, 13.635121, 15.740518, 4.392284]
pca: [[0.652618, 0.529665, -0.391503, 0.030965, -0.373244, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.022796, 0.427439, 0.610254, -0.654267, -0.127674, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.485244, 0.055908, 0.051699, -0.100992, 0.865182, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.560122, -0.499644, 0.550603, 0.223947, -0.288622, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.156113, 0.532899, 0.410461, 0.714579, 0.112006, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[309.175264, 313.702807, 314.563115, 335.808810, 1110.856895], [10.466395, 10.776988, 11.134677, 11.233397, 29.744843], [229.619960, 232.305791, 234.071299, 248.545157, 847.822291], [264.615690, 266.577513, 270.496993, 285.001770, 971.705387], [73.198845, 73.448583, 75.605074, 78.122527, 307.122008]]
### 8
mean: [17.042860, -0.361750, -3.230083, -2.539878, 26.396711]
std: [25.386217, 0.054340, 3.790659, 2.799629, 38.888599]
pca: [[0.543840, -0.009995, -0.442253, 0.712618, 0.026966, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.000666, -0.340169, 0.690715, 0.441820, -0.460427, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.081205, -0.111051, 0.369526, 0.256349, 0.882501, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.059949, 0.931639, 0.268398, 0.227917, -0.066872, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.833097, 0.062468, 0.344584, -0.423451, 0.063237, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[427.546926, 432.403462, 437.513651, 462.534331, 1533.857402], [0.747580, 0.937815, 0.967700, 1.142902, 32.557474], [63.687179, 64.684059, 65.616622, 69.145813, 290.707449], [46.872187, 47.156855, 48.517702, 50.348693, 228.588992], [655.001488, 662.473325, 669.733340, 708.680106, 2375.703987]]
### 10
mean: [-17.242678]
std: [26.862322]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[452.504884, 457.856120, 464.019172, 489.618826, 1551.841085]]
## 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.
|
mountain_pattern
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.989937,
0.75774,
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-0.264282,
0.313915
],
[
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],
[
0.831727,
1.132309,
0.359304,
-0.069791,
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],
[
-0.57301,
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-0.258842,
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-0.357144
],
[
1.952518,
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]
],
"network.0.bias": [
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0.068211,
0.071805
],
"network.2.weight": [
[
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0.685701,
0.195432,
0.810976
],
[
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-0.146065,
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-0.466797
],
[
0.466077,
0.312202,
0.094063,
0.020532,
1.171661
],
[
0.407862,
-0.106157,
0.528303,
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-0.713641
],
[
0.691797,
0.148911,
0.625976,
0.56982,
1.09124
]
],
"network.2.bias": [
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0.879314,
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],
"network.4.weight": [
[
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-0.010428,
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],
[
0.226904,
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0.856301,
-0.99046,
0.480127
],
[
0.590984,
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0.649613,
-0.503428,
0.728617
],
[
0.111704,
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0.004259,
-0.30283,
-0.509521
],
[
-0.032994,
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0.194075,
-0.096135,
-0.333395
]
],
"network.4.bias": [
-0.088293,
-0.078016,
-0.182498,
-0.387167,
-0.382661
],
"network.6.weight": [
[
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0.940892,
0.556314,
-0.051044,
0.032527
],
[
-0.386372,
0.208408,
-0.208971,
0.293484,
0.183539
],
[
0.165439,
0.517057,
0.557029,
-0.414233,
-0.027902
],
[
-0.139987,
0.291805,
0.882615,
-0.241676,
-0.107422
],
[
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0.33262,
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]
],
"network.6.bias": [
-0.340939,
0.194379,
-0.072494,
-0.264304,
-0.257387
],
"network.8.weight": [
[
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0.045133,
0.300377,
0.702313,
0.058054
],
[
-0.120289,
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0.210837,
-0.046132,
0.270544
],
[
0.058107,
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0.009033,
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],
[
0.221278,
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],
[
0.692493,
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0.834905,
0.011391
]
],
"network.8.bias": [
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-0.32642,
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-0.513899,
-0.406324
],
"network.10.weight": [
[
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-0.231126,
-0.091068,
0.069649,
-0.42068
]
],
"network.10.bias": [
1.088572
]
}
## Activation Signature
### 0
mean: [1.432769, -2.127717, 2.346875, -2.656494, 2.912669]
std: [2.703993, 1.667794, 3.474859, 1.976479, 4.737574]
pca: [[0.411621, -0.145864, 0.305708, 0.833694, 0.144187, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.175307, 0.309733, 0.562628, -0.190346, 0.721492, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.455309, 0.838701, -0.296878, 0.032420, -0.009358, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.226002, 0.333408, 0.622609, 0.057224, -0.668465, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.735835, -0.261170, 0.337955, -0.514196, -0.108287, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.726156, 42.530582, 43.315302, 44.221298, 128.949228], [25.333279, 26.150404, 31.798196, 35.357206, 191.494528], [56.203019, 59.155982, 59.184289, 64.681609, 211.218797], [30.090157, 30.298752, 37.981415, 42.060737, 239.084466], [78.163450, 78.629762, 79.707560, 83.339339, 262.140243]]
### 2
mean: [4.903406, -3.231682, 4.774147, 0.707415, 6.231444]
std: [6.689834, 3.848394, 6.566075, 1.412978, 8.130224]
pca: [[0.513491, 0.363647, 0.426940, 0.644239, 0.082255, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.296023, 0.094713, 0.766636, -0.378575, 0.415151, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.503414, -0.419476, -0.202499, -0.121877, 0.717464, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.061001, 0.810132, -0.413248, -0.181907, 0.368920, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.625740, 0.162842, 0.134951, -0.627450, -0.412344, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[109.428667, 112.499625, 112.513640, 115.572544, 441.306521], [63.580454, 64.401043, 64.859699, 68.906950, 290.851385], [110.935241, 111.481741, 112.371441, 118.372213, 429.673182], [22.003688, 22.320816, 27.757249, 28.081435, 63.667317], [133.818739, 135.313044, 137.716467, 142.739460, 560.829974]]
### 4
mean: [-3.531954, 7.146661, 9.909939, -3.296252, -1.797899]
std: [3.979573, 11.408559, 14.253027, 3.275716, 1.646614]
pca: [[-0.206323, 0.598072, -0.088904, -0.206610, 0.741046, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.599162, 0.593627, -0.152276, -0.304633, -0.415479, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.749767, -0.183696, 0.232779, 0.344390, 0.480952, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.170653, 0.400742, 0.830663, 0.289828, -0.190477, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.084634, 0.309157, -0.474047, 0.813576, -0.103113, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[65.424144, 67.145366, 67.412537, 68.061653, 317.875895], [191.135726, 191.654188, 198.422442, 208.268480, 643.199459], [238.291501, 238.705386, 241.866230, 255.174787, 891.894438], [54.455464, 55.161813, 55.727015, 55.803178, 296.662721], [27.031376, 27.337452, 27.795129, 28.332904, 161.810951]]
### 6
mean: [12.342854, -0.330498, 9.420247, 10.796727, -3.412467]
std: [18.339546, 0.664771, 13.635121, 15.740518, 4.392284]
pca: [[0.652618, 0.529665, -0.391503, 0.030965, -0.373244, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.022796, 0.427439, 0.610254, -0.654267, -0.127674, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.485244, 0.055908, 0.051699, -0.100992, 0.865182, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.560122, -0.499644, 0.550603, 0.223947, -0.288622, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.156113, 0.532899, 0.410461, 0.714579, 0.112006, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[309.175264, 313.702807, 314.563115, 335.808810, 1110.856895], [10.466395, 10.776988, 11.134677, 11.233397, 29.744843], [229.619960, 232.305791, 234.071299, 248.545157, 847.822291], [264.615690, 266.577513, 270.496993, 285.001770, 971.705387], [73.198845, 73.448583, 75.605074, 78.122527, 307.122008]]
### 8
mean: [17.042860, -0.361750, -3.230083, -2.539878, 26.396711]
std: [25.386217, 0.054340, 3.790659, 2.799629, 38.888599]
pca: [[0.543840, -0.009995, -0.442253, 0.712618, 0.026966, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.000666, -0.340169, 0.690715, 0.441820, -0.460427, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.081205, -0.111051, 0.369526, 0.256349, 0.882501, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.059949, 0.931639, 0.268398, 0.227917, -0.066872, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.833097, 0.062468, 0.344584, -0.423451, 0.063237, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[427.546926, 432.403462, 437.513651, 462.534331, 1533.857402], [0.747580, 0.937815, 0.967700, 1.142902, 32.557474], [63.687179, 64.684059, 65.616622, 69.145813, 290.707449], [46.872187, 47.156855, 48.517702, 50.348693, 228.588992], [655.001488, 662.473325, 669.733340, 708.680106, 2375.703987]]
### 10
mean: [-17.242678]
std: [26.862322]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[452.504884, 457.856120, 464.019172, 489.618826, 1551.841085]]
## 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.
mountain_pattern
|
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"activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.989937, 0.75774, -0.474106, -0.264282, 0.313915], [-0.40554, -0.073461, -0.23514, -0.366732, -0.363868], [0.831727, 1.132309, 0.359304, -0.069791, -0.769268], [-0.57301, -0.069557, -0.258842, -0.421418, -0.357144], [1.952518, 0.967998, -0.498834, -0.37239, 0.395461]], "network.0.bias": [-0.009991, 0.237207, -0.403599, 0.068211, 0.071805], "network.2.weight": [[0.52787, -0.44178, 0.685701, 0.195432, 0.810976], [-0.586846, 0.210438, -0.146065, -0.478049, -0.466797], [0.466077, 0.312202, 0.094063, 0.020532, 1.171661], [0.407862, -0.106157, 0.528303, -0.645945, -0.713641], [0.691797, 0.148911, 0.625976, 0.56982, 1.09124]], "network.2.bias": [-0.458206, -0.308657, -0.074769, 0.879314, -0.178154], "network.4.weight": [[-0.235332, -0.010428, 0.08535, -0.319852, -0.377524], [0.226904, 0.139103, 0.856301, -0.99046, 0.480127], [0.590984, -0.002379, 0.649613, -0.503428, 0.728617], [0.111704, -0.088791, 0.004259, -0.30283, -0.509521], [-0.032994, -0.014546, 0.194075, -0.096135, -0.333395]], "network.4.bias": [-0.088293, -0.078016, -0.182498, -0.387167, -0.382661], "network.6.weight": [[-0.109416, 0.940892, 0.556314, -0.051044, 0.032527], [-0.386372, 0.208408, -0.208971, 0.293484, 0.183539], [0.165439, 0.517057, 0.557029, -0.414233, -0.027902], [-0.139987, 0.291805, 0.882615, -0.241676, -0.107422], [-0.18437, 0.131661, -0.413315, 0.33262, -0.208526]], "network.6.bias": [-0.340939, 0.194379, -0.072494, -0.264304, -0.257387], "network.8.weight": [[0.562921, 0.045133, 0.300377, 0.702313, 0.058054], [-0.120289, -0.350106, 0.210837, -0.046132, 0.270544], [0.058107, -0.563535, -0.368684, 0.009033, -0.266684], [0.221278, -0.36048, -0.250378, -0.2198, -0.092355], [0.692493, -0.078312, 0.964783, 0.834905, 0.011391]], "network.8.bias": [-0.442169, -0.32642, -0.528836, -0.513899, -0.406324], "network.10.weight": [[-0.416967, -0.231126, -0.091068, 0.069649, -0.42068]], "network.10.bias": [1.088572]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6910637617111206, "train_acc": 0.59, "val_loss": 0.7289009094238281, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6707145273685455, "train_acc": 0.59, "val_loss": 0.7145963907241821, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.648815244436264, "train_acc": 0.59, "val_loss": 0.683516263961792, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6164400279521942, "train_acc": 0.515, "val_loss": 0.6670954823493958, "val_acc": 0.6}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.52619668841362, "train_acc": 0.715, "val_loss": 0.5051788687705994, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.46134065091609955, "train_acc": 0.835, "val_loss": 0.4905044436454773, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.425550639629364, "train_acc": 0.835, "val_loss": 0.5041603446006775, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.40023668110370636, "train_acc": 0.83, "val_loss": 0.4289196729660034, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.4050135314464569, "train_acc": 0.83, "val_loss": 0.4735366106033325, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.3983880281448364, "train_acc": 0.84, "val_loss": 0.5425689220428467, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.3489811420440674, "train_acc": 0.85, "val_loss": 0.4015216529369354, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.378415122628212, "train_acc": 0.84, "val_loss": 0.39531776309013367, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.3606337755918503, "train_acc": 0.84, "val_loss": 0.49192145466804504, "val_acc": 0.9}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.7289009094238281, "final_val_loss": 0.683516263961792, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.6670954823493958, "final_val_loss": 0.49192145466804504, "initial_val_acc": 0.6, "final_val_acc": 0.9, "best_val_acc": 0.9, "best_epoch": 10}, "improvement": 0.46, "first_improvement_epoch": 2}}
|
9,456
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.58, "improved_accuracy": 0.9, "improvement": 0.32000000000000006, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2045, "learning_rate": 0.09259698226549, "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: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.2.weight": [
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],
[
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[
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0.017876,
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],
[
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]
],
"network.4.bias": [
0.196152,
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0.38469,
0.036173
],
"network.6.weight": [
[
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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [1.383677, 1.146808, -1.903220, 0.630428, 1.507073, -1.783868, 0.741395]
std: [1.526061, 1.458460, 1.080927, 0.996741, 1.866457, 1.462193, 1.133713]
pca: [[0.518081, 0.229681, 0.102640, -0.282594, 0.766754, -0.022156, 0.006492, 0.000000, 0.000000, 0.000000], [0.306849, 0.507948, -0.471001, -0.440366, -0.461012, -0.039361, 0.134118, 0.000000, 0.000000, 0.000000], [-0.131698, 0.487323, -0.182280, 0.394004, 0.134714, 0.699324, -0.222498, 0.000000, 0.000000, 0.000000], [0.025140, -0.473614, -0.020561, -0.450254, -0.021113, 0.687302, 0.314764, 0.000000, 0.000000, 0.000000], [0.640073, -0.095314, 0.109081, 0.568052, -0.210705, 0.076909, 0.443089, 0.000000, 0.000000, 0.000000], [-0.415395, 0.423430, 0.361780, -0.050887, 0.079494, -0.039134, 0.711920, 0.000000, 0.000000, 0.000000], [0.192906, 0.197647, 0.768889, -0.207312, -0.360898, 0.170516, -0.360875, 0.000000, 0.000000, 0.000000]]
fourier: [[23.600476, 23.640909, 26.329154, 26.928766, 124.530957], [24.209655, 24.579590, 26.104501, 26.325710, 103.212758], [16.142364, 19.138626, 19.705139, 21.329943, 171.289814], [16.846438, 17.024300, 17.270261, 19.151281, 56.738553], [29.816262, 30.734960, 30.972510, 31.947418, 135.636570], [23.430276, 27.215482, 27.901674, 28.895039, 160.548083], [15.411962, 17.464016, 17.590108, 18.038783, 66.725568]]
### 2
mean: [1.510267, 1.893216, -0.922302, -1.506421, -2.552058, -0.390835, -0.345865]
std: [1.369290, 1.354859, 0.856310, 1.118909, 2.484784, 0.627174, 0.713701]
pca: [[-0.354837, 0.502704, 0.533465, -0.201873, 0.206646, 0.004056, -0.503312, 0.000000, 0.000000, 0.000000], [-0.380667, 0.442158, -0.189023, -0.194481, 0.283515, -0.105634, 0.703205, 0.000000, 0.000000, 0.000000], [0.235755, -0.112475, 0.438945, -0.168054, 0.152772, 0.763675, 0.322978, 0.000000, 0.000000, 0.000000], [0.334109, -0.119029, 0.222147, 0.347337, 0.762543, -0.346461, 0.051998, 0.000000, 0.000000, 0.000000], [0.736918, 0.526728, -0.190963, -0.359034, -0.051740, -0.077641, -0.073706, 0.000000, 0.000000, 0.000000], [0.100678, -0.183942, 0.594414, -0.278637, -0.379289, -0.523625, 0.327139, 0.000000, 0.000000, 0.000000], [0.093759, 0.462266, 0.218789, 0.752327, -0.354356, 0.073340, 0.180855, 0.000000, 0.000000, 0.000000]]
fourier: [[22.896668, 23.221204, 23.965536, 24.590176, 135.924013], [20.683592, 21.136270, 24.305750, 25.940296, 170.389405], [13.045671, 15.339005, 15.767400, 15.938385, 83.007201], [16.928724, 16.958842, 19.226608, 21.008938, 135.577885], [38.810841, 39.499120, 39.827875, 40.496394, 229.685171], [11.137931, 11.724113, 11.892333, 12.301520, 35.175179], [10.633059, 11.023856, 12.314867, 13.076035, 31.127878]]
### 4
mean: [0.039133, -0.678497, -1.834340, 0.129110, 0.223569, -0.075281, 1.386239]
std: [0.367652, 0.211407, 1.261444, 0.278957, 0.512326, 0.429500, 1.101992]
pca: [[0.095548, 0.677900, 0.141339, 0.282743, -0.432885, 0.273221, -0.411536, 0.000000, 0.000000, 0.000000], [0.106318, -0.176080, -0.186073, -0.286901, -0.001234, 0.913318, 0.081275, 0.000000, 0.000000, 0.000000], [0.687410, -0.442470, 0.297188, 0.470685, -0.139086, 0.040288, 0.029239, 0.000000, 0.000000, 0.000000], [0.127038, 0.320414, 0.399437, 0.095080, 0.828861, 0.159877, -0.005913, 0.000000, 0.000000, 0.000000], [-0.273560, -0.231007, 0.803124, -0.383629, -0.221706, 0.045127, -0.168614, 0.000000, 0.000000, 0.000000], [0.215125, 0.378575, 0.196818, -0.199259, -0.236210, -0.047921, 0.820896, 0.000000, 0.000000, 0.000000], [-0.608097, -0.119663, 0.117404, 0.648293, -0.036128, 0.244302, 0.347624, 0.000000, 0.000000, 0.000000]]
fourier: [[5.764625, 5.791204, 5.833819, 5.891474, 8.435509], [3.315082, 3.382334, 3.548391, 4.068194, 61.064736], [18.649655, 21.158682, 22.720147, 24.287315, 165.090575], [4.750758, 4.776117, 4.952994, 5.202669, 11.619870], [7.923129, 8.751586, 8.977422, 9.252835, 20.121192], [6.775277, 6.834466, 7.146543, 7.425231, 7.674379], [16.809946, 17.164378, 19.374247, 20.960996, 124.761521]]
### 6
mean: [-0.109364, -0.105962, 0.504031, -0.020833, 0.911136, 0.393094, 0.794048]
std: [0.275832, 0.447703, 0.716954, 0.243009, 0.907278, 0.710795, 0.854521]
pca: [[-0.145294, 0.584227, 0.575890, 0.142445, -0.378774, 0.229241, -0.299347, 0.000000, 0.000000, 0.000000], [-0.264077, 0.053490, 0.377670, 0.377800, 0.784903, 0.018664, 0.160042, 0.000000, 0.000000, 0.000000], [0.422032, -0.311787, -0.010563, 0.780525, -0.215953, 0.261875, 0.011544, 0.000000, 0.000000, 0.000000], [0.139633, 0.273832, -0.143551, -0.200945, 0.061081, 0.719431, 0.568526, 0.000000, 0.000000, 0.000000], [0.531018, 0.613304, -0.358193, 0.112094, 0.310791, -0.206893, -0.248224, 0.000000, 0.000000, 0.000000], [0.418100, -0.327761, 0.319792, -0.388529, 0.288681, 0.366839, -0.496624, 0.000000, 0.000000, 0.000000], [0.504735, 0.007369, 0.523860, -0.154463, -0.100809, -0.428445, 0.503162, 0.000000, 0.000000, 0.000000]]
fourier: [[4.452759, 4.590892, 5.103077, 5.220958, 9.842762], [7.056926, 7.520239, 7.567811, 8.103024, 9.536557], [11.300553, 12.186571, 12.310601, 12.608874, 45.362770], [3.524934, 3.534912, 3.730414, 4.211203, 4.764559], [13.563392, 14.665619, 15.665783, 17.350771, 82.002224], [11.134854, 11.445140, 12.308568, 12.745201, 35.378504], [13.029964, 13.416141, 14.931461, 15.915886, 71.464303]]
### 8
mean: [-0.606770]
std: [1.012217]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.363981, 16.801945, 17.948052, 19.188483, 54.609316]]
## 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: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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0.105736,
0.253483,
0.415274,
0.416905
],
[
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[
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[
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],
"network.0.bias": [
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"network.2.weight": [
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],
"network.2.bias": [
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"network.4.weight": [
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[
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],
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"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [1.383677, 1.146808, -1.903220, 0.630428, 1.507073, -1.783868, 0.741395]
std: [1.526061, 1.458460, 1.080927, 0.996741, 1.866457, 1.462193, 1.133713]
pca: [[0.518081, 0.229681, 0.102640, -0.282594, 0.766754, -0.022156, 0.006492, 0.000000, 0.000000, 0.000000], [0.306849, 0.507948, -0.471001, -0.440366, -0.461012, -0.039361, 0.134118, 0.000000, 0.000000, 0.000000], [-0.131698, 0.487323, -0.182280, 0.394004, 0.134714, 0.699324, -0.222498, 0.000000, 0.000000, 0.000000], [0.025140, -0.473614, -0.020561, -0.450254, -0.021113, 0.687302, 0.314764, 0.000000, 0.000000, 0.000000], [0.640073, -0.095314, 0.109081, 0.568052, -0.210705, 0.076909, 0.443089, 0.000000, 0.000000, 0.000000], [-0.415395, 0.423430, 0.361780, -0.050887, 0.079494, -0.039134, 0.711920, 0.000000, 0.000000, 0.000000], [0.192906, 0.197647, 0.768889, -0.207312, -0.360898, 0.170516, -0.360875, 0.000000, 0.000000, 0.000000]]
fourier: [[23.600476, 23.640909, 26.329154, 26.928766, 124.530957], [24.209655, 24.579590, 26.104501, 26.325710, 103.212758], [16.142364, 19.138626, 19.705139, 21.329943, 171.289814], [16.846438, 17.024300, 17.270261, 19.151281, 56.738553], [29.816262, 30.734960, 30.972510, 31.947418, 135.636570], [23.430276, 27.215482, 27.901674, 28.895039, 160.548083], [15.411962, 17.464016, 17.590108, 18.038783, 66.725568]]
### 2
mean: [1.510267, 1.893216, -0.922302, -1.506421, -2.552058, -0.390835, -0.345865]
std: [1.369290, 1.354859, 0.856310, 1.118909, 2.484784, 0.627174, 0.713701]
pca: [[-0.354837, 0.502704, 0.533465, -0.201873, 0.206646, 0.004056, -0.503312, 0.000000, 0.000000, 0.000000], [-0.380667, 0.442158, -0.189023, -0.194481, 0.283515, -0.105634, 0.703205, 0.000000, 0.000000, 0.000000], [0.235755, -0.112475, 0.438945, -0.168054, 0.152772, 0.763675, 0.322978, 0.000000, 0.000000, 0.000000], [0.334109, -0.119029, 0.222147, 0.347337, 0.762543, -0.346461, 0.051998, 0.000000, 0.000000, 0.000000], [0.736918, 0.526728, -0.190963, -0.359034, -0.051740, -0.077641, -0.073706, 0.000000, 0.000000, 0.000000], [0.100678, -0.183942, 0.594414, -0.278637, -0.379289, -0.523625, 0.327139, 0.000000, 0.000000, 0.000000], [0.093759, 0.462266, 0.218789, 0.752327, -0.354356, 0.073340, 0.180855, 0.000000, 0.000000, 0.000000]]
fourier: [[22.896668, 23.221204, 23.965536, 24.590176, 135.924013], [20.683592, 21.136270, 24.305750, 25.940296, 170.389405], [13.045671, 15.339005, 15.767400, 15.938385, 83.007201], [16.928724, 16.958842, 19.226608, 21.008938, 135.577885], [38.810841, 39.499120, 39.827875, 40.496394, 229.685171], [11.137931, 11.724113, 11.892333, 12.301520, 35.175179], [10.633059, 11.023856, 12.314867, 13.076035, 31.127878]]
### 4
mean: [0.039133, -0.678497, -1.834340, 0.129110, 0.223569, -0.075281, 1.386239]
std: [0.367652, 0.211407, 1.261444, 0.278957, 0.512326, 0.429500, 1.101992]
pca: [[0.095548, 0.677900, 0.141339, 0.282743, -0.432885, 0.273221, -0.411536, 0.000000, 0.000000, 0.000000], [0.106318, -0.176080, -0.186073, -0.286901, -0.001234, 0.913318, 0.081275, 0.000000, 0.000000, 0.000000], [0.687410, -0.442470, 0.297188, 0.470685, -0.139086, 0.040288, 0.029239, 0.000000, 0.000000, 0.000000], [0.127038, 0.320414, 0.399437, 0.095080, 0.828861, 0.159877, -0.005913, 0.000000, 0.000000, 0.000000], [-0.273560, -0.231007, 0.803124, -0.383629, -0.221706, 0.045127, -0.168614, 0.000000, 0.000000, 0.000000], [0.215125, 0.378575, 0.196818, -0.199259, -0.236210, -0.047921, 0.820896, 0.000000, 0.000000, 0.000000], [-0.608097, -0.119663, 0.117404, 0.648293, -0.036128, 0.244302, 0.347624, 0.000000, 0.000000, 0.000000]]
fourier: [[5.764625, 5.791204, 5.833819, 5.891474, 8.435509], [3.315082, 3.382334, 3.548391, 4.068194, 61.064736], [18.649655, 21.158682, 22.720147, 24.287315, 165.090575], [4.750758, 4.776117, 4.952994, 5.202669, 11.619870], [7.923129, 8.751586, 8.977422, 9.252835, 20.121192], [6.775277, 6.834466, 7.146543, 7.425231, 7.674379], [16.809946, 17.164378, 19.374247, 20.960996, 124.761521]]
### 6
mean: [-0.109364, -0.105962, 0.504031, -0.020833, 0.911136, 0.393094, 0.794048]
std: [0.275832, 0.447703, 0.716954, 0.243009, 0.907278, 0.710795, 0.854521]
pca: [[-0.145294, 0.584227, 0.575890, 0.142445, -0.378774, 0.229241, -0.299347, 0.000000, 0.000000, 0.000000], [-0.264077, 0.053490, 0.377670, 0.377800, 0.784903, 0.018664, 0.160042, 0.000000, 0.000000, 0.000000], [0.422032, -0.311787, -0.010563, 0.780525, -0.215953, 0.261875, 0.011544, 0.000000, 0.000000, 0.000000], [0.139633, 0.273832, -0.143551, -0.200945, 0.061081, 0.719431, 0.568526, 0.000000, 0.000000, 0.000000], [0.531018, 0.613304, -0.358193, 0.112094, 0.310791, -0.206893, -0.248224, 0.000000, 0.000000, 0.000000], [0.418100, -0.327761, 0.319792, -0.388529, 0.288681, 0.366839, -0.496624, 0.000000, 0.000000, 0.000000], [0.504735, 0.007369, 0.523860, -0.154463, -0.100809, -0.428445, 0.503162, 0.000000, 0.000000, 0.000000]]
fourier: [[4.452759, 4.590892, 5.103077, 5.220958, 9.842762], [7.056926, 7.520239, 7.567811, 8.103024, 9.536557], [11.300553, 12.186571, 12.310601, 12.608874, 45.362770], [3.524934, 3.534912, 3.730414, 4.211203, 4.764559], [13.563392, 14.665619, 15.665783, 17.350771, 82.002224], [11.134854, 11.445140, 12.308568, 12.745201, 35.378504], [13.029964, 13.416141, 14.931461, 15.915886, 71.464303]]
### 8
mean: [-0.606770]
std: [1.012217]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.363981, 16.801945, 17.948052, 19.188483, 54.609316]]
## 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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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.417424, 0.105736, 0.253483, 0.415274, 0.416905], [-0.596133, 0.073524, 0.4231, -0.050567, 0.476685], [-0.359708, -0.124795, -0.088755, -0.28461, 0.099134], [0.392114, 0.101607, 0.127719, 0.117689, -0.117075], [-0.158102, 0.266031, -0.252573, 0.506884, 0.672117], [-0.210182, -0.291668, 0.043552, -0.21949, -0.527909], [-0.274032, -0.053949, 0.103727, 0.456164, -0.194777]], "network.0.bias": [-0.223749, 0.391405, -0.554714, -0.417462, -0.169275, 0.03997, 0.226054], "network.2.weight": [[0.244205, 0.602798, -0.534043, -0.421473, 0.094157, -0.041195, 0.28143], [0.216955, 0.72412, -0.20605, 0.164748, 0.188274, -0.271346, 0.148251], [-0.192071, -0.275941, 0.253463, -0.330928, -0.218828, 0.095257, 0.056643], [-0.486066, -0.26807, 0.549735, -0.267478, -0.08846, 0.333413, -0.160999], [-0.500403, 0.136056, 0.137492, 0.034814, -0.842448, 0.104016, -0.733049], [0.071188, -0.367978, -0.511402, -0.382145, -0.182053, 0.132711, 0.215267], [-0.013256, 0.152603, -0.295182, -0.441518, -0.068341, 0.488927, -0.536903]], "network.2.bias": [0.263666, 0.140553, 0.220622, 0.015178, -0.124277, 0.281113, 0.299014], "network.4.weight": [[-0.35746, 0.181954, -0.533542, -0.015307, -0.17199, -0.824023, -0.865263], [0.019926, -0.157591, 0.123793, -0.047887, 0.012966, 0.038024, 0.241568], [-0.454428, -0.488977, 0.787617, 0.542381, 0.087027, 0.334512, 0.411826], [-0.232912, 0.060793, -0.213636, -0.530822, 0.062756, -0.150441, -0.497747], [0.416161, -0.015733, 0.292781, 0.3656, 0.146933, 0.44393, -0.029778], [-0.262007, -0.053865, -0.222306, -0.198312, 0.017876, -0.617638, -0.563116], [0.420517, 0.416983, -0.144806, 0.640836, -0.086263, 0.674641, 0.216811]], "network.4.bias": [0.196152, -0.420239, -0.140354, 0.324674, -0.305735, 0.38469, 0.036173], "network.6.weight": [[0.468131, 0.098448, -0.304924, 0.294691, -0.636212, 0.309259, 0.148793], [0.160637, -0.470304, -0.60851, 0.24008, -0.47296, 0.348201, -0.116833], [-0.810324, 0.014095, 0.11026, 0.064796, 0.320998, -0.651536, 0.343072], [-0.047681, -0.017529, 0.336889, -0.094309, 0.018065, 0.169667, 0.201558], [-0.090837, 0.184467, 0.188075, -0.702962, 0.195346, 0.021226, 0.646053], [-0.645038, -0.090601, 0.717621, -0.569176, 0.193434, -0.375435, 0.327563], [-0.42407, 0.436227, 0.442199, -0.660443, -0.004224, -0.429945, 0.549162]], "network.6.bias": [-0.244734, -0.012367, 0.064091, -0.26175, 0.137952, 0.070025, 0.282224], "network.8.weight": [[0.186719, 0.109249, -0.48122, -0.130891, -0.15627, -0.383177, -0.445404]], "network.8.bias": [0.252929]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6835562586784363, "train_acc": 0.51, "val_loss": 0.6601836681365967, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.618698388338089, "train_acc": 0.56, "val_loss": 0.44136863946914673, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.7421225607395172, "train_acc": 0.56, "val_loss": 0.3368263244628906, "val_acc": 0.9}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4422290772199631, "train_acc": 0.855, "val_loss": 0.5877259969711304, "val_acc": 0.7}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5632809102535248, "train_acc": 0.73, "val_loss": 0.5463564395904541, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.4827481806278229, "train_acc": 0.77, "val_loss": 0.3392755389213562, "val_acc": 0.84}], "summary": {"total_epochs": 6, "degraded_epochs": 2, "improved_epochs": 4, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6601836681365967, "final_val_loss": 0.44136863946914673, "initial_val_acc": 0.58, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.3368263244628906, "final_val_loss": 0.3392755389213562, "initial_val_acc": 0.9, "final_val_acc": 0.84, "best_val_acc": 0.9, "best_epoch": 2}, "improvement": 0.32000000000000006, "first_improvement_epoch": 1}}
|
9,457
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.54, "improved_accuracy": 0.92, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4135, "learning_rate": 0.07663813102202333, "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: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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## Activation Signature
### 0
mean: [1.322784, -2.704815, 1.352347, 3.849060, -0.259564, 1.513853]
std: [2.414845, 1.500802, 3.392991, 3.554725, 1.240126, 2.971419]
pca: [[0.370766, -0.363969, -0.438918, -0.016846, 0.281260, 0.676771, 0.000000, 0.000000, 0.000000, 0.000000], [-0.168838, -0.298968, 0.023252, 0.813444, -0.443777, 0.151470, 0.000000, 0.000000, 0.000000, 0.000000], [0.518633, -0.460347, 0.695830, -0.139923, -0.118971, -0.034468, 0.000000, 0.000000, 0.000000, 0.000000], [0.547071, 0.718945, 0.063992, 0.167999, -0.294189, 0.254885, 0.000000, 0.000000, 0.000000, 0.000000], [-0.117638, 0.202056, 0.439887, 0.414095, 0.745018, 0.159086, 0.000000, 0.000000, 0.000000, 0.000000], [0.501917, -0.092292, -0.353603, 0.344600, 0.261156, -0.653892, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.010901, 43.447128, 48.535490, 48.832041, 119.050537], [23.340693, 25.413734, 25.469856, 28.507024, 243.433344], [50.649985, 55.026370, 57.370767, 63.939644, 121.711260], [55.180726, 60.662429, 66.720740, 68.520531, 346.415396], [22.558754, 22.786980, 23.360738, 23.788077, 23.963616], [53.786526, 55.156690, 55.290579, 62.487048, 136.246811]]
### 2
mean: [-0.148387, 4.867244, 4.285713, -2.851762, 3.524484, 4.344691]
std: [0.806885, 4.892975, 4.781869, 2.532246, 4.597234, 5.882123]
pca: [[-0.070776, -0.091516, 0.567214, 0.595866, 0.527043, 0.179033, 0.000000, 0.000000, 0.000000, 0.000000], [0.469910, -0.237342, -0.307193, -0.155330, 0.282022, 0.724446, 0.000000, 0.000000, 0.000000, 0.000000], [0.456860, -0.494827, -0.127325, -0.005424, 0.337721, -0.645081, 0.000000, 0.000000, 0.000000, 0.000000], [-0.237855, 0.462780, -0.128685, -0.431620, 0.715581, -0.119783, 0.000000, 0.000000, 0.000000, 0.000000], [0.436535, 0.620653, -0.356111, 0.533915, -0.016672, -0.109856, 0.000000, 0.000000, 0.000000, 0.000000], [0.564196, 0.301768, 0.651394, -0.386557, -0.127670, -0.024064, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.045056, 13.354831, 14.205561, 14.482394, 14.695404], [83.853413, 85.722885, 86.710059, 90.464461, 438.051926], [78.872397, 82.902188, 86.649506, 87.752021, 385.714123], [41.405502, 42.608535, 44.716905, 46.090807, 256.658573], [80.519860, 82.953028, 83.342041, 85.365644, 317.203531], [101.471343, 108.394251, 108.888265, 109.623898, 391.022202]]
### 4
mean: [5.844066, -8.151111, -3.267679, -3.646398, 7.262335, 7.096556]
std: [7.934518, 9.483465, 3.224761, 3.930017, 10.000636, 9.275723]
pca: [[0.415581, -0.237314, -0.290126, 0.502231, 0.595276, -0.283217, 0.000000, 0.000000, 0.000000, 0.000000], [-0.496770, -0.192005, 0.267983, 0.306641, 0.429884, 0.604739, 0.000000, 0.000000, 0.000000, 0.000000], [-0.168341, -0.300643, 0.712530, 0.170459, -0.075794, -0.582044, 0.000000, 0.000000, 0.000000, 0.000000], [-0.205265, 0.506191, -0.110617, 0.740622, -0.368239, -0.072658, 0.000000, 0.000000, 0.000000, 0.000000], [0.523572, 0.564210, 0.555723, -0.017997, 0.240974, 0.200797, 0.000000, 0.000000, 0.000000, 0.000000], [0.485707, -0.491800, 0.123487, 0.275380, -0.511305, 0.411953, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[137.348675, 142.029449, 142.670145, 145.672306, 525.965955], [165.485617, 170.361887, 172.333783, 173.444375, 733.600029], [55.937601, 57.361488, 57.651839, 59.067513, 294.091084], [68.921488, 69.315237, 70.637828, 71.333873, 328.175786], [175.010560, 181.954204, 182.109436, 185.343326, 653.610229], [161.651725, 167.059806, 167.502752, 170.378913, 638.689942]]
### 6
mean: [-0.551980, 14.047074, -1.395276, -6.276679, 8.707580, -4.405411]
std: [0.434487, 19.002012, 1.753874, 8.045550, 11.948121, 5.460403]
pca: [[-0.017519, -0.116768, 0.947608, -0.161551, -0.076288, 0.237020, 0.000000, 0.000000, 0.000000, 0.000000], [0.774713, -0.211971, -0.067939, 0.293034, 0.179348, 0.481911, 0.000000, 0.000000, 0.000000, 0.000000], [-0.071501, 0.113541, -0.054985, -0.528276, 0.818345, 0.173805, 0.000000, 0.000000, 0.000000, 0.000000], [-0.328009, 0.345112, -0.198344, -0.061746, -0.299683, 0.800216, 0.000000, 0.000000, 0.000000, 0.000000], [0.487094, 0.783829, 0.097945, -0.255171, -0.181484, -0.201764, 0.000000, 0.000000, 0.000000, 0.000000], [-0.222598, 0.441646, 0.213228, 0.734869, 0.411800, -0.017938, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.130056, 7.546242, 7.752537, 7.878846, 49.678243], [331.777031, 342.653525, 343.224757, 351.016836, 1264.236775], [30.530805, 31.590660, 31.715679, 32.274458, 125.574891], [140.218500, 145.038953, 145.440350, 148.303964, 564.901132], [209.377562, 215.626041, 216.406732, 222.101386, 783.682238], [95.029303, 97.949916, 98.655397, 100.247664, 396.486995]]
### 8
mean: [-10.242413]
std: [15.490874]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[271.386744, 277.332852, 278.740403, 288.074686, 921.817148]]
## 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: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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-0.260496,
0.095953,
-0.316856
],
[
-0.238622,
0.039148,
0.311349,
0.058556,
0.441008,
1.085938
],
[
-0.616416,
0.435768,
0.482891,
0.18543,
-0.060557,
0.871267
]
],
"network.4.bias": [
-0.525898,
-0.119685,
-0.428618,
-0.153885,
-0.587998,
-0.607751
],
"network.6.weight": [
[
-0.383075,
-0.074629,
-0.188742,
-0.2187,
-0.008172,
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],
[
0.420094,
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0.006319,
0.060779,
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0.775312
],
[
-0.03915,
-0.420703,
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-0.18853,
-0.05351,
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],
[
-0.150338,
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],
[
-0.070307,
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],
[
-0.31586,
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-0.116445,
-0.201623
]
],
"network.6.bias": [
-0.270573,
-0.542822,
-0.037367,
-0.066071,
-0.383422,
-0.18447
],
"network.8.weight": [
[
-0.156259,
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-0.134774,
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],
"network.8.bias": [
1.341844
]
}
## Activation Signature
### 0
mean: [1.322784, -2.704815, 1.352347, 3.849060, -0.259564, 1.513853]
std: [2.414845, 1.500802, 3.392991, 3.554725, 1.240126, 2.971419]
pca: [[0.370766, -0.363969, -0.438918, -0.016846, 0.281260, 0.676771, 0.000000, 0.000000, 0.000000, 0.000000], [-0.168838, -0.298968, 0.023252, 0.813444, -0.443777, 0.151470, 0.000000, 0.000000, 0.000000, 0.000000], [0.518633, -0.460347, 0.695830, -0.139923, -0.118971, -0.034468, 0.000000, 0.000000, 0.000000, 0.000000], [0.547071, 0.718945, 0.063992, 0.167999, -0.294189, 0.254885, 0.000000, 0.000000, 0.000000, 0.000000], [-0.117638, 0.202056, 0.439887, 0.414095, 0.745018, 0.159086, 0.000000, 0.000000, 0.000000, 0.000000], [0.501917, -0.092292, -0.353603, 0.344600, 0.261156, -0.653892, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.010901, 43.447128, 48.535490, 48.832041, 119.050537], [23.340693, 25.413734, 25.469856, 28.507024, 243.433344], [50.649985, 55.026370, 57.370767, 63.939644, 121.711260], [55.180726, 60.662429, 66.720740, 68.520531, 346.415396], [22.558754, 22.786980, 23.360738, 23.788077, 23.963616], [53.786526, 55.156690, 55.290579, 62.487048, 136.246811]]
### 2
mean: [-0.148387, 4.867244, 4.285713, -2.851762, 3.524484, 4.344691]
std: [0.806885, 4.892975, 4.781869, 2.532246, 4.597234, 5.882123]
pca: [[-0.070776, -0.091516, 0.567214, 0.595866, 0.527043, 0.179033, 0.000000, 0.000000, 0.000000, 0.000000], [0.469910, -0.237342, -0.307193, -0.155330, 0.282022, 0.724446, 0.000000, 0.000000, 0.000000, 0.000000], [0.456860, -0.494827, -0.127325, -0.005424, 0.337721, -0.645081, 0.000000, 0.000000, 0.000000, 0.000000], [-0.237855, 0.462780, -0.128685, -0.431620, 0.715581, -0.119783, 0.000000, 0.000000, 0.000000, 0.000000], [0.436535, 0.620653, -0.356111, 0.533915, -0.016672, -0.109856, 0.000000, 0.000000, 0.000000, 0.000000], [0.564196, 0.301768, 0.651394, -0.386557, -0.127670, -0.024064, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.045056, 13.354831, 14.205561, 14.482394, 14.695404], [83.853413, 85.722885, 86.710059, 90.464461, 438.051926], [78.872397, 82.902188, 86.649506, 87.752021, 385.714123], [41.405502, 42.608535, 44.716905, 46.090807, 256.658573], [80.519860, 82.953028, 83.342041, 85.365644, 317.203531], [101.471343, 108.394251, 108.888265, 109.623898, 391.022202]]
### 4
mean: [5.844066, -8.151111, -3.267679, -3.646398, 7.262335, 7.096556]
std: [7.934518, 9.483465, 3.224761, 3.930017, 10.000636, 9.275723]
pca: [[0.415581, -0.237314, -0.290126, 0.502231, 0.595276, -0.283217, 0.000000, 0.000000, 0.000000, 0.000000], [-0.496770, -0.192005, 0.267983, 0.306641, 0.429884, 0.604739, 0.000000, 0.000000, 0.000000, 0.000000], [-0.168341, -0.300643, 0.712530, 0.170459, -0.075794, -0.582044, 0.000000, 0.000000, 0.000000, 0.000000], [-0.205265, 0.506191, -0.110617, 0.740622, -0.368239, -0.072658, 0.000000, 0.000000, 0.000000, 0.000000], [0.523572, 0.564210, 0.555723, -0.017997, 0.240974, 0.200797, 0.000000, 0.000000, 0.000000, 0.000000], [0.485707, -0.491800, 0.123487, 0.275380, -0.511305, 0.411953, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[137.348675, 142.029449, 142.670145, 145.672306, 525.965955], [165.485617, 170.361887, 172.333783, 173.444375, 733.600029], [55.937601, 57.361488, 57.651839, 59.067513, 294.091084], [68.921488, 69.315237, 70.637828, 71.333873, 328.175786], [175.010560, 181.954204, 182.109436, 185.343326, 653.610229], [161.651725, 167.059806, 167.502752, 170.378913, 638.689942]]
### 6
mean: [-0.551980, 14.047074, -1.395276, -6.276679, 8.707580, -4.405411]
std: [0.434487, 19.002012, 1.753874, 8.045550, 11.948121, 5.460403]
pca: [[-0.017519, -0.116768, 0.947608, -0.161551, -0.076288, 0.237020, 0.000000, 0.000000, 0.000000, 0.000000], [0.774713, -0.211971, -0.067939, 0.293034, 0.179348, 0.481911, 0.000000, 0.000000, 0.000000, 0.000000], [-0.071501, 0.113541, -0.054985, -0.528276, 0.818345, 0.173805, 0.000000, 0.000000, 0.000000, 0.000000], [-0.328009, 0.345112, -0.198344, -0.061746, -0.299683, 0.800216, 0.000000, 0.000000, 0.000000, 0.000000], [0.487094, 0.783829, 0.097945, -0.255171, -0.181484, -0.201764, 0.000000, 0.000000, 0.000000, 0.000000], [-0.222598, 0.441646, 0.213228, 0.734869, 0.411800, -0.017938, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.130056, 7.546242, 7.752537, 7.878846, 49.678243], [331.777031, 342.653525, 343.224757, 351.016836, 1264.236775], [30.530805, 31.590660, 31.715679, 32.274458, 125.574891], [140.218500, 145.038953, 145.440350, 148.303964, 564.901132], [209.377562, 215.626041, 216.406732, 222.101386, 783.682238], [95.029303, 97.949916, 98.655397, 100.247664, 396.486995]]
### 8
mean: [-10.242413]
std: [15.490874]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[271.386744, 277.332852, 278.740403, 288.074686, 921.817148]]
## 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
|
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"input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.883365, -0.119768, 0.58671, -0.216171, 0.010303], [-0.034396, -0.339109, -0.394498, -0.307345, -0.188245], [0.972884, 0.938711, 0.393708, -0.417279, -0.573258], [1.298769, 0.3374, 0.094298, 0.875849, 0.055961], [-0.174617, 0.250231, -0.564744, 0.055265, -0.029773], [1.318797, -0.059596, 0.394462, 0.081914, 0.011847]], "network.0.bias": [-0.332982, -0.328763, -0.789455, -0.526209, 0.599657, -1.032978], "network.2.weight": [[-0.368648, 0.027991, -0.131114, -0.016879, -0.779677, 0.096845], [0.784729, -0.016385, 0.594538, 0.538081, 1.064103, 0.133681], [0.650321, -0.300746, 0.51327, 0.65976, 0.866797, 0.108623], [-0.016802, 0.281896, -0.229129, -0.399286, -0.27119, -0.25548], [0.592838, 0.045334, 0.806777, 0.009433, 0.831814, 0.535721], [0.821312, -0.067771, 0.620573, 0.330327, 0.554024, 0.664931]], "network.2.bias": [0.875364, -0.303644, -0.86695, -0.248902, -0.337575, -0.90439], "network.4.weight": [[-0.724327, 0.035419, 0.700902, -0.26483, 0.274716, 0.535], [0.070193, -0.534695, -0.224837, 0.224481, -0.504591, -0.606663], [-0.072976, -0.219107, -0.088281, -0.304327, -0.563766, 0.140596], [-0.133549, -0.149211, -0.385657, -0.260496, 0.095953, -0.316856], [-0.238622, 0.039148, 0.311349, 0.058556, 0.441008, 1.085938], [-0.616416, 0.435768, 0.482891, 0.18543, -0.060557, 0.871267]], "network.4.bias": [-0.525898, -0.119685, -0.428618, -0.153885, -0.587998, -0.607751], "network.6.weight": [[-0.383075, -0.074629, -0.188742, -0.2187, -0.008172, 0.287964], [0.420094, 0.106082, 0.006319, 0.060779, 0.872204, 0.775312], [-0.03915, -0.420703, -0.413799, -0.18853, -0.05351, -0.100396], [-0.150338, -0.471781, 0.165195, -0.288595, -0.299738, -0.426837], [-0.070307, 0.119747, 0.145409, 0.397949, 0.856038, 0.439728], [-0.31586, -0.023976, 0.122385, -0.282908, -0.116445, -0.201623]], "network.6.bias": [-0.270573, -0.542822, -0.037367, -0.066071, -0.383422, -0.18447], "network.8.weight": [[-0.156259, -0.531027, -0.134774, -0.189342, -0.459718, 0.047502]], "network.8.bias": [1.341844]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7042690813541412, "train_acc": 0.45, "val_loss": 0.682130753993988, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6399247646331787, "train_acc": 0.57, "val_loss": 0.5949680805206299, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5825756788253784, "train_acc": 0.505, "val_loss": 0.48889756202697754, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.51534703373909, "train_acc": 0.8, "val_loss": 0.46366700530052185, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.43955111503601074, "train_acc": 0.835, "val_loss": 0.44392532110214233, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.37488268315792084, "train_acc": 0.855, "val_loss": 0.4295480251312256, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.34121209383010864, "train_acc": 0.85, "val_loss": 0.3728358745574951, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3092288374900818, "train_acc": 0.905, "val_loss": 0.3439437448978424, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.2962341606616974, "train_acc": 0.895, "val_loss": 0.32940223813056946, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.28012633323669434, "train_acc": 0.91, "val_loss": 0.25288498401641846, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.2742914780974388, "train_acc": 0.915, "val_loss": 0.2681298553943634, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.2561568543314934, "train_acc": 0.925, "val_loss": 0.30385005474090576, "val_acc": 0.88}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.682130753993988, "final_val_loss": 0.5949680805206299, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.48889756202697754, "final_val_loss": 0.30385005474090576, "initial_val_acc": 0.78, "final_val_acc": 0.88, "best_val_acc": 0.92, "best_epoch": 9}, "improvement": 0.38, "first_improvement_epoch": 1}}
|
9,458
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.4, "improved_accuracy": 1.0, "improvement": 0.6, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3541, "learning_rate": 0.02946422663438903, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_ascending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_ascending"], "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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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],
[
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0.18297
],
[
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]
],
"network.0.bias": [
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"network.2.weight": [
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[
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[
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"network.6.weight": [
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[
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"network.8.weight": [
[
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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [2.591928, 0.340363, -0.146955, 0.145417, 2.567461, -0.154137, -0.612455, 0.759201]
std: [2.274263, 0.754411, 1.032045, 1.409630, 2.015097, 0.906957, 1.657415, 1.277002]
pca: [[0.657394, 0.261995, -0.232874, 0.079722, -0.264405, 0.593938, -0.089986, -0.088520, 0.000000, 0.000000], [0.200728, -0.086009, 0.111830, -0.252827, -0.263791, -0.134236, 0.848582, -0.261126, 0.000000, 0.000000], [0.153064, -0.148546, 0.448301, -0.559297, 0.020223, 0.241377, -0.042763, 0.616618, 0.000000, 0.000000], [-0.169682, 0.569951, -0.435434, -0.130765, -0.319761, -0.264974, 0.129041, 0.500551, 0.000000, 0.000000], [0.569066, -0.162386, -0.372029, -0.269730, 0.416586, -0.498833, -0.126183, 0.018299, 0.000000, 0.000000], [-0.211767, -0.008148, -0.370973, 0.011581, 0.634634, 0.460894, 0.420650, 0.158758, 0.000000, 0.000000], [0.144202, 0.722880, 0.485901, 0.036729, 0.425686, -0.116825, 0.054983, -0.146018, 0.000000, 0.000000], [0.292994, -0.167512, 0.174815, 0.724964, 0.018296, -0.160744, 0.239665, 0.496335, 0.000000, 0.000000]]
fourier: [[35.022074, 37.707913, 39.082745, 43.371181, 233.273511], [12.879502, 13.007202, 13.008672, 13.828140, 30.632708], [14.755913, 15.593647, 17.017021, 18.785734, 19.380582], [20.326832, 20.427240, 20.497165, 25.987030, 26.967288], [32.941851, 34.942956, 35.870571, 38.369789, 231.071463], [13.955671, 14.236180, 15.116486, 15.193592, 15.922475], [26.129363, 27.296607, 27.799487, 31.759162, 55.120955], [18.363754, 20.634205, 22.099226, 24.181304, 68.328077]]
### 2
mean: [3.096921, -2.158769, 2.147308, -1.148829, -0.224103, 0.022431, 1.766349, -1.400258]
std: [2.569265, 1.552389, 1.832232, 0.851267, 0.913453, 0.779197, 1.774586, 1.216006]
pca: [[0.611494, -0.247503, 0.035724, 0.342405, 0.207445, -0.294150, -0.337027, 0.450728, 0.000000, 0.000000], [-0.351498, -0.400832, 0.393914, 0.171933, 0.702756, -0.014107, 0.092135, -0.168819, 0.000000, 0.000000], [0.430231, 0.056311, 0.501320, 0.040726, -0.089243, 0.598420, -0.237310, -0.369274, 0.000000, 0.000000], [-0.188320, -0.191620, -0.209907, -0.426803, 0.193867, 0.544345, -0.361442, 0.486888, 0.000000, 0.000000], [-0.152573, 0.576630, 0.437633, 0.221301, 0.058992, 0.131070, 0.250028, 0.566171, 0.000000, 0.000000], [-0.110574, 0.551254, -0.378033, 0.309047, 0.394679, 0.034583, -0.468979, -0.261848, 0.000000, 0.000000], [0.419071, 0.035000, -0.408561, 0.032744, 0.369438, 0.333070, 0.638313, -0.017195, 0.000000, 0.000000], [-0.266149, -0.317141, -0.216378, 0.723756, -0.349020, 0.359928, 0.032695, 0.074239, 0.000000, 0.000000]]
fourier: [[39.408912, 44.162835, 45.646905, 45.709734, 278.722923], [23.954565, 24.820290, 26.417178, 31.965029, 194.289237], [30.248346, 31.317646, 31.734893, 32.773202, 193.257749], [13.517440, 13.966561, 14.134831, 15.345315, 103.394564], [13.831691, 15.870509, 17.640941, 19.174900, 20.169254], [11.822210, 12.044789, 12.318179, 13.283788, 14.233301], [27.762810, 28.929430, 32.377593, 33.232191, 158.971423], [19.626475, 19.729750, 22.810240, 23.056565, 126.023179]]
### 4
mean: [-0.333047, 1.686205, 2.970995, -0.884245, -1.959782, 1.856193, 2.999577, -1.415451]
std: [0.636718, 1.494829, 2.699893, 0.538054, 1.598563, 1.568872, 2.843773, 0.891252]
pca: [[-0.122928, -0.310500, 0.379552, 0.409610, 0.563302, -0.193424, 0.352553, 0.312446, 0.000000, 0.000000], [0.306589, 0.158820, 0.131194, -0.128279, 0.028312, 0.067104, -0.458275, 0.794853, 0.000000, 0.000000], [0.554483, 0.181575, -0.216866, 0.353781, 0.521915, 0.137066, -0.275925, -0.346511, 0.000000, 0.000000], [-0.097750, 0.373363, 0.163650, 0.725873, -0.454905, -0.261995, -0.147477, 0.006531, 0.000000, 0.000000], [-0.325876, 0.256198, 0.599153, -0.272444, 0.276219, -0.131702, -0.443847, -0.322978, 0.000000, 0.000000], [0.321518, -0.042543, 0.585593, 0.059192, -0.248586, 0.648134, 0.230593, -0.115531, 0.000000, 0.000000], [0.584425, 0.112070, 0.230254, -0.272941, -0.118941, -0.635777, 0.300442, -0.098738, 0.000000, 0.000000], [-0.150880, 0.791195, -0.099979, -0.107165, 0.224311, 0.170353, 0.476831, 0.151861, 0.000000, 0.000000]]
fourier: [[10.361797, 11.006892, 11.158936, 12.572264, 29.974244], [23.232015, 26.124799, 26.550684, 27.109820, 151.758487], [42.270431, 46.603110, 48.068003, 48.235926, 267.389551], [9.330439, 9.442466, 9.879994, 9.969556, 79.582095], [25.956167, 26.851444, 27.075733, 28.018186, 176.380427], [25.028014, 25.632635, 26.875912, 28.661583, 167.057359], [43.893994, 48.537454, 50.249205, 50.603789, 269.961963], [16.168227, 16.202968, 16.904804, 17.118991, 127.390623]]
### 6
mean: [3.918878, -0.146893, -0.204910, -1.350797, -1.369155, -1.416070, 4.836169, 2.508279]
std: [3.546082, 0.400525, 0.427572, 0.963536, 1.501540, 1.178185, 4.179738, 1.898737]
pca: [[0.571114, -0.310612, -0.380964, 0.363705, 0.330243, -0.381785, 0.209064, -0.037497, 0.000000, 0.000000], [-0.064103, -0.188806, 0.605355, 0.152948, -0.302625, -0.415372, 0.495374, 0.246746, 0.000000, 0.000000], [-0.068389, 0.350346, -0.456325, -0.035458, -0.259502, 0.218598, 0.739043, -0.042187, 0.000000, 0.000000], [-0.155114, -0.244813, -0.149468, -0.386442, 0.398804, 0.098902, 0.144164, 0.744794, 0.000000, 0.000000], [-0.241782, 0.209089, -0.382994, 0.402336, -0.379109, -0.330225, -0.347603, 0.464397, 0.000000, 0.000000], [-0.189688, 0.239090, 0.237346, 0.683160, 0.461490, 0.380292, 0.105026, 0.123241, 0.000000, 0.000000], [0.673218, 0.020432, 0.146469, 0.062644, -0.374615, 0.484846, -0.108005, 0.365933, 0.000000, 0.000000], [0.305483, 0.764131, 0.182668, -0.247438, 0.275570, -0.367958, -0.020133, 0.128267, 0.000000, 0.000000]]
fourier: [[57.588587, 60.618567, 61.061005, 64.894778, 352.698998], [6.346341, 6.464971, 6.830280, 7.358471, 13.220362], [6.653864, 7.752593, 7.762962, 7.771362, 18.441921], [15.739747, 15.838773, 16.846494, 17.335301, 121.571734], [24.029315, 25.709860, 26.451070, 27.268615, 123.223963], [19.088792, 20.310882, 20.345904, 21.755359, 127.446313], [67.810016, 70.641267, 72.690746, 76.038442, 435.255208], [30.653944, 31.094934, 33.208478, 33.900868, 225.745074]]
### 8
mean: [-4.001661]
std: [3.731934]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[60.834926, 63.671209, 64.675458, 68.563188, 360.149482]]
## 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_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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[
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[
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0.18297
],
[
0.396463,
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]
],
"network.0.bias": [
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],
"network.2.weight": [
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[
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[
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[
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[
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[
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[
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"network.4.weight": [
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[
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"network.4.bias": [
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"network.6.weight": [
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[
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[
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],
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],
"network.8.weight": [
[
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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [2.591928, 0.340363, -0.146955, 0.145417, 2.567461, -0.154137, -0.612455, 0.759201]
std: [2.274263, 0.754411, 1.032045, 1.409630, 2.015097, 0.906957, 1.657415, 1.277002]
pca: [[0.657394, 0.261995, -0.232874, 0.079722, -0.264405, 0.593938, -0.089986, -0.088520, 0.000000, 0.000000], [0.200728, -0.086009, 0.111830, -0.252827, -0.263791, -0.134236, 0.848582, -0.261126, 0.000000, 0.000000], [0.153064, -0.148546, 0.448301, -0.559297, 0.020223, 0.241377, -0.042763, 0.616618, 0.000000, 0.000000], [-0.169682, 0.569951, -0.435434, -0.130765, -0.319761, -0.264974, 0.129041, 0.500551, 0.000000, 0.000000], [0.569066, -0.162386, -0.372029, -0.269730, 0.416586, -0.498833, -0.126183, 0.018299, 0.000000, 0.000000], [-0.211767, -0.008148, -0.370973, 0.011581, 0.634634, 0.460894, 0.420650, 0.158758, 0.000000, 0.000000], [0.144202, 0.722880, 0.485901, 0.036729, 0.425686, -0.116825, 0.054983, -0.146018, 0.000000, 0.000000], [0.292994, -0.167512, 0.174815, 0.724964, 0.018296, -0.160744, 0.239665, 0.496335, 0.000000, 0.000000]]
fourier: [[35.022074, 37.707913, 39.082745, 43.371181, 233.273511], [12.879502, 13.007202, 13.008672, 13.828140, 30.632708], [14.755913, 15.593647, 17.017021, 18.785734, 19.380582], [20.326832, 20.427240, 20.497165, 25.987030, 26.967288], [32.941851, 34.942956, 35.870571, 38.369789, 231.071463], [13.955671, 14.236180, 15.116486, 15.193592, 15.922475], [26.129363, 27.296607, 27.799487, 31.759162, 55.120955], [18.363754, 20.634205, 22.099226, 24.181304, 68.328077]]
### 2
mean: [3.096921, -2.158769, 2.147308, -1.148829, -0.224103, 0.022431, 1.766349, -1.400258]
std: [2.569265, 1.552389, 1.832232, 0.851267, 0.913453, 0.779197, 1.774586, 1.216006]
pca: [[0.611494, -0.247503, 0.035724, 0.342405, 0.207445, -0.294150, -0.337027, 0.450728, 0.000000, 0.000000], [-0.351498, -0.400832, 0.393914, 0.171933, 0.702756, -0.014107, 0.092135, -0.168819, 0.000000, 0.000000], [0.430231, 0.056311, 0.501320, 0.040726, -0.089243, 0.598420, -0.237310, -0.369274, 0.000000, 0.000000], [-0.188320, -0.191620, -0.209907, -0.426803, 0.193867, 0.544345, -0.361442, 0.486888, 0.000000, 0.000000], [-0.152573, 0.576630, 0.437633, 0.221301, 0.058992, 0.131070, 0.250028, 0.566171, 0.000000, 0.000000], [-0.110574, 0.551254, -0.378033, 0.309047, 0.394679, 0.034583, -0.468979, -0.261848, 0.000000, 0.000000], [0.419071, 0.035000, -0.408561, 0.032744, 0.369438, 0.333070, 0.638313, -0.017195, 0.000000, 0.000000], [-0.266149, -0.317141, -0.216378, 0.723756, -0.349020, 0.359928, 0.032695, 0.074239, 0.000000, 0.000000]]
fourier: [[39.408912, 44.162835, 45.646905, 45.709734, 278.722923], [23.954565, 24.820290, 26.417178, 31.965029, 194.289237], [30.248346, 31.317646, 31.734893, 32.773202, 193.257749], [13.517440, 13.966561, 14.134831, 15.345315, 103.394564], [13.831691, 15.870509, 17.640941, 19.174900, 20.169254], [11.822210, 12.044789, 12.318179, 13.283788, 14.233301], [27.762810, 28.929430, 32.377593, 33.232191, 158.971423], [19.626475, 19.729750, 22.810240, 23.056565, 126.023179]]
### 4
mean: [-0.333047, 1.686205, 2.970995, -0.884245, -1.959782, 1.856193, 2.999577, -1.415451]
std: [0.636718, 1.494829, 2.699893, 0.538054, 1.598563, 1.568872, 2.843773, 0.891252]
pca: [[-0.122928, -0.310500, 0.379552, 0.409610, 0.563302, -0.193424, 0.352553, 0.312446, 0.000000, 0.000000], [0.306589, 0.158820, 0.131194, -0.128279, 0.028312, 0.067104, -0.458275, 0.794853, 0.000000, 0.000000], [0.554483, 0.181575, -0.216866, 0.353781, 0.521915, 0.137066, -0.275925, -0.346511, 0.000000, 0.000000], [-0.097750, 0.373363, 0.163650, 0.725873, -0.454905, -0.261995, -0.147477, 0.006531, 0.000000, 0.000000], [-0.325876, 0.256198, 0.599153, -0.272444, 0.276219, -0.131702, -0.443847, -0.322978, 0.000000, 0.000000], [0.321518, -0.042543, 0.585593, 0.059192, -0.248586, 0.648134, 0.230593, -0.115531, 0.000000, 0.000000], [0.584425, 0.112070, 0.230254, -0.272941, -0.118941, -0.635777, 0.300442, -0.098738, 0.000000, 0.000000], [-0.150880, 0.791195, -0.099979, -0.107165, 0.224311, 0.170353, 0.476831, 0.151861, 0.000000, 0.000000]]
fourier: [[10.361797, 11.006892, 11.158936, 12.572264, 29.974244], [23.232015, 26.124799, 26.550684, 27.109820, 151.758487], [42.270431, 46.603110, 48.068003, 48.235926, 267.389551], [9.330439, 9.442466, 9.879994, 9.969556, 79.582095], [25.956167, 26.851444, 27.075733, 28.018186, 176.380427], [25.028014, 25.632635, 26.875912, 28.661583, 167.057359], [43.893994, 48.537454, 50.249205, 50.603789, 269.961963], [16.168227, 16.202968, 16.904804, 17.118991, 127.390623]]
### 6
mean: [3.918878, -0.146893, -0.204910, -1.350797, -1.369155, -1.416070, 4.836169, 2.508279]
std: [3.546082, 0.400525, 0.427572, 0.963536, 1.501540, 1.178185, 4.179738, 1.898737]
pca: [[0.571114, -0.310612, -0.380964, 0.363705, 0.330243, -0.381785, 0.209064, -0.037497, 0.000000, 0.000000], [-0.064103, -0.188806, 0.605355, 0.152948, -0.302625, -0.415372, 0.495374, 0.246746, 0.000000, 0.000000], [-0.068389, 0.350346, -0.456325, -0.035458, -0.259502, 0.218598, 0.739043, -0.042187, 0.000000, 0.000000], [-0.155114, -0.244813, -0.149468, -0.386442, 0.398804, 0.098902, 0.144164, 0.744794, 0.000000, 0.000000], [-0.241782, 0.209089, -0.382994, 0.402336, -0.379109, -0.330225, -0.347603, 0.464397, 0.000000, 0.000000], [-0.189688, 0.239090, 0.237346, 0.683160, 0.461490, 0.380292, 0.105026, 0.123241, 0.000000, 0.000000], [0.673218, 0.020432, 0.146469, 0.062644, -0.374615, 0.484846, -0.108005, 0.365933, 0.000000, 0.000000], [0.305483, 0.764131, 0.182668, -0.247438, 0.275570, -0.367958, -0.020133, 0.128267, 0.000000, 0.000000]]
fourier: [[57.588587, 60.618567, 61.061005, 64.894778, 352.698998], [6.346341, 6.464971, 6.830280, 7.358471, 13.220362], [6.653864, 7.752593, 7.762962, 7.771362, 18.441921], [15.739747, 15.838773, 16.846494, 17.335301, 121.571734], [24.029315, 25.709860, 26.451070, 27.268615, 123.223963], [19.088792, 20.310882, 20.345904, 21.755359, 127.446313], [67.810016, 70.641267, 72.690746, 76.038442, 435.255208], [30.653944, 31.094934, 33.208478, 33.900868, 225.745074]]
### 8
mean: [-4.001661]
std: [3.731934]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[60.834926, 63.671209, 64.675458, 68.563188, 360.149482]]
## 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_ascending
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7498287260532379, "train_acc": 0.41, "val_loss": 0.6917659044265747, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6739295423030853, "train_acc": 0.58, "val_loss": 0.7396823167800903, "val_acc": 0.4}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6381964683532715, "train_acc": 0.59, "val_loss": 0.7356727123260498, "val_acc": 0.4}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.5600512027740479, "train_acc": 0.59, "val_loss": 0.5909616351127625, "val_acc": 0.4}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.49830402433872223, "train_acc": 0.63, "val_loss": 0.43415337800979614, "val_acc": 0.96}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.40263745188713074, "train_acc": 0.885, "val_loss": 0.3407862186431885, "val_acc": 1.0}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.3361848145723343, "train_acc": 0.91, "val_loss": 0.2505209445953369, "val_acc": 1.0}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.27921175956726074, "train_acc": 0.935, "val_loss": 0.1666659414768219, "val_acc": 1.0}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.2153962180018425, "train_acc": 0.925, "val_loss": 0.09725282341241837, "val_acc": 1.0}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.19530607014894485, "train_acc": 0.93, "val_loss": 0.07169850170612335, "val_acc": 0.98}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.2336808666586876, "train_acc": 0.925, "val_loss": 0.06181328743696213, "val_acc": 0.98}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.16654861718416214, "train_acc": 0.95, "val_loss": 0.14924153685569763, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.22482332587242126, "train_acc": 0.92, "val_loss": 0.02797725237905979, "val_acc": 1.0}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.17461702227592468, "train_acc": 0.92, "val_loss": 0.03704036772251129, "val_acc": 0.98}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6917659044265747, "final_val_loss": 0.5909616351127625, "initial_val_acc": 0.56, "final_val_acc": 0.4, "best_val_acc": 0.4}, "improved_stage": {"initial_val_loss": 0.43415337800979614, "final_val_loss": 0.03704036772251129, "initial_val_acc": 0.96, "final_val_acc": 0.98, "best_val_acc": 1.0, "best_epoch": 5}, "improvement": 0.6, "first_improvement_epoch": 3}}
|
9,459
|
{"target_pattern": "has_majority", "degraded_accuracy": 0.46, "improved_accuracy": 0.88, "improvement": 0.42, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2120, "learning_rate": 0.09246960440782175, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "has_majority", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["has_majority"], "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: 5
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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-0.042873
],
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0.458383,
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],
[
0.492796,
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0.796698,
0.268825
],
[
-0.026898,
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],
[
-0.012494,
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-0.649671,
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],
[
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-0.42015
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],
"network.0.bias": [
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"network.2.weight": [
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[
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[
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],
[
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[
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],
"network.2.bias": [
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"network.4.weight": [
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[
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[
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],
"network.6.bias": [
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"network.8.weight": [
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[
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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.10.bias": [
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]
}
## Activation Signature
### 0
mean: [-0.013369, 0.056492, 3.316273, -0.257311, -1.394194, -0.516074]
std: [0.811320, 2.218725, 2.576965, 1.473937, 1.668108, 1.896483]
pca: [[0.256759, -0.159059, 0.055502, -0.036177, -0.064497, 0.948802, 0.000000, 0.000000, 0.000000, 0.000000], [0.236161, -0.317415, 0.866404, -0.189911, -0.149816, -0.185227, 0.000000, 0.000000, 0.000000, 0.000000], [0.772082, 0.600294, -0.042088, -0.166288, 0.047332, -0.108962, 0.000000, 0.000000, 0.000000, 0.000000], [0.311988, -0.186633, -0.117974, 0.722688, -0.563331, -0.119553, 0.000000, 0.000000, 0.000000, 0.000000], [0.371284, -0.500769, -0.133475, 0.233747, 0.724495, -0.118454, 0.000000, 0.000000, 0.000000, 0.000000], [0.216804, -0.477486, -0.461258, -0.598379, -0.359054, -0.158958, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.997804, 12.312436, 12.823983, 12.882415, 15.743786], [30.383698, 33.864973, 39.899534, 40.251597, 46.102616], [38.595931, 40.853530, 49.284655, 54.269201, 298.464533], [24.872462, 26.041480, 28.261137, 28.330888, 31.882159], [23.800623, 29.028413, 31.177380, 38.552684, 125.477507], [28.701496, 30.374877, 31.140172, 41.768126, 46.446698]]
### 2
mean: [1.260721, 1.064857, 1.620641, 0.477675, -1.596798, -0.701325]
std: [1.459827, 0.840211, 1.479788, 0.802569, 0.938582, 0.913529]
pca: [[0.606061, 0.065715, -0.331361, 0.177696, -0.316362, 0.622022, 0.000000, 0.000000, 0.000000, 0.000000], [0.294715, 0.154216, 0.797271, -0.360031, -0.349188, 0.046528, 0.000000, 0.000000, 0.000000, 0.000000], [0.584705, -0.409451, 0.206923, 0.117922, 0.647458, -0.120602, 0.000000, 0.000000, 0.000000, 0.000000], [-0.020837, 0.663056, 0.276246, 0.653153, 0.236701, 0.031210, 0.000000, 0.000000, 0.000000, 0.000000], [-0.388024, -0.077700, 0.202875, -0.206885, 0.416690, 0.765382, 0.000000, 0.000000, 0.000000, 0.000000], [-0.230121, -0.598805, 0.307037, 0.596226, -0.359338, 0.097955, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.789488, 24.925987, 26.800777, 28.790831, 113.464848], [13.144900, 13.298879, 14.169042, 16.452970, 95.837158], [23.583724, 23.766075, 24.558739, 25.013041, 145.857675], [11.945139, 12.486228, 12.796512, 12.960971, 42.990769], [12.430949, 16.085700, 17.899427, 18.841100, 143.711801], [15.336877, 15.453272, 16.261430, 18.323339, 63.119246]]
### 4
mean: [0.844087, -1.592117, 0.044742, 1.191711, -1.115708, 1.124959]
std: [0.585964, 0.998245, 0.374583, 1.565112, 0.702891, 1.315946]
pca: [[0.122607, 0.597235, 0.748912, 0.046312, 0.176876, 0.184335, 0.000000, 0.000000, 0.000000, 0.000000], [-0.395136, -0.454561, 0.441573, 0.458636, -0.422269, 0.231511, 0.000000, 0.000000, 0.000000, 0.000000], [0.079883, 0.376988, -0.439556, 0.759580, 0.039616, 0.282414, 0.000000, 0.000000, 0.000000, 0.000000], [0.661362, -0.322235, 0.009592, -0.145886, -0.059277, 0.658693, 0.000000, 0.000000, 0.000000, 0.000000], [-0.278762, -0.326437, 0.041168, 0.088799, 0.871078, 0.217655, 0.000000, 0.000000, 0.000000, 0.000000], [0.554388, -0.290117, 0.221695, 0.425884, 0.162923, -0.592803, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.940904, 8.088254, 9.130907, 11.719368, 75.967857], [14.025686, 17.308992, 19.137798, 20.393146, 143.290497], [5.553411, 5.926488, 5.971650, 6.179815, 6.495301], [25.259416, 25.777470, 26.236491, 26.740043, 107.253975], [9.901321, 11.989010, 13.458526, 14.363132, 100.413729], [20.934635, 21.676413, 22.138218, 22.518182, 101.246323]]
### 6
mean: [1.750607, -0.166807, 0.431045, -1.240443, -1.543136, -0.018038]
std: [1.781380, 0.564226, 0.680836, 0.911715, 1.329483, 0.779203]
pca: [[0.672656, 0.097790, 0.666741, -0.244666, 0.180932, 0.028802, 0.000000, 0.000000, 0.000000, 0.000000], [-0.205157, 0.386744, 0.276506, 0.691718, 0.427931, 0.265114, 0.000000, 0.000000, 0.000000, 0.000000], [0.252970, -0.321004, -0.150306, 0.108197, -0.205245, 0.869792, 0.000000, 0.000000, 0.000000, 0.000000], [-0.337520, -0.438591, 0.626774, 0.233461, -0.486342, -0.099194, 0.000000, 0.000000, 0.000000, 0.000000], [-0.500904, -0.272920, 0.196732, -0.515509, 0.544440, 0.271553, 0.000000, 0.000000, 0.000000, 0.000000], [-0.276815, 0.686277, 0.157667, -0.360145, -0.457241, 0.297935, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.145929, 30.667269, 30.985217, 31.963825, 157.554611], [8.423296, 8.702629, 9.945752, 10.388920, 15.012648], [10.828438, 10.968987, 11.884088, 12.190333, 38.794068], [14.103533, 15.626731, 16.231017, 17.305801, 111.639845], [21.429609, 22.734535, 23.729006, 23.884799, 138.882263], [11.321117, 11.563272, 11.881536, 13.921318, 14.439149]]
### 8
mean: [-1.750632, 0.166465, 0.150543, 0.189503, 0.814908, 1.119488]
std: [1.500868, 0.298804, 0.100337, 0.387874, 1.251983, 1.444925]
pca: [[0.607093, -0.339120, 0.119059, -0.264658, 0.643382, 0.135190, 0.000000, 0.000000, 0.000000, 0.000000], [0.103250, 0.622566, -0.375649, 0.423253, 0.507117, -0.155974, 0.000000, 0.000000, 0.000000, 0.000000], [0.028658, 0.227475, 0.717196, 0.434421, 0.035238, 0.493052, 0.000000, 0.000000, 0.000000, 0.000000], [-0.146190, -0.564099, -0.431513, 0.554540, 0.063842, 0.403271, 0.000000, 0.000000, 0.000000, 0.000000], [-0.506723, 0.220305, -0.163945, -0.492542, 0.300374, 0.578790, 0.000000, 0.000000, 0.000000, 0.000000], [-0.584651, -0.280931, 0.342435, 0.109454, 0.483063, -0.465477, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.898789, 25.922346, 26.025394, 26.832215, 157.556904], [4.931895, 4.974622, 5.284088, 5.739175, 14.981851], [1.381801, 1.418821, 1.623837, 1.897760, 13.548891], [5.744239, 5.997008, 7.196801, 7.306875, 17.055298], [20.924223, 21.440227, 21.509898, 22.237073, 73.341756], [23.786201, 24.584018, 24.666619, 24.827911, 100.753870]]
### 10
mean: [-0.245539]
std: [0.952442]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.504609, 15.916580, 16.215382, 16.696604, 22.098534]]
## 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.
|
has_majority
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.315947,
-0.042873
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0.458383,
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[
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0.796698,
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],
[
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[
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[
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],
"network.0.bias": [
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[
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]
],
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"network.4.weight": [
[
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[
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],
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"network.8.weight": [
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[
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"network.10.weight": [
[
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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [-0.013369, 0.056492, 3.316273, -0.257311, -1.394194, -0.516074]
std: [0.811320, 2.218725, 2.576965, 1.473937, 1.668108, 1.896483]
pca: [[0.256759, -0.159059, 0.055502, -0.036177, -0.064497, 0.948802, 0.000000, 0.000000, 0.000000, 0.000000], [0.236161, -0.317415, 0.866404, -0.189911, -0.149816, -0.185227, 0.000000, 0.000000, 0.000000, 0.000000], [0.772082, 0.600294, -0.042088, -0.166288, 0.047332, -0.108962, 0.000000, 0.000000, 0.000000, 0.000000], [0.311988, -0.186633, -0.117974, 0.722688, -0.563331, -0.119553, 0.000000, 0.000000, 0.000000, 0.000000], [0.371284, -0.500769, -0.133475, 0.233747, 0.724495, -0.118454, 0.000000, 0.000000, 0.000000, 0.000000], [0.216804, -0.477486, -0.461258, -0.598379, -0.359054, -0.158958, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.997804, 12.312436, 12.823983, 12.882415, 15.743786], [30.383698, 33.864973, 39.899534, 40.251597, 46.102616], [38.595931, 40.853530, 49.284655, 54.269201, 298.464533], [24.872462, 26.041480, 28.261137, 28.330888, 31.882159], [23.800623, 29.028413, 31.177380, 38.552684, 125.477507], [28.701496, 30.374877, 31.140172, 41.768126, 46.446698]]
### 2
mean: [1.260721, 1.064857, 1.620641, 0.477675, -1.596798, -0.701325]
std: [1.459827, 0.840211, 1.479788, 0.802569, 0.938582, 0.913529]
pca: [[0.606061, 0.065715, -0.331361, 0.177696, -0.316362, 0.622022, 0.000000, 0.000000, 0.000000, 0.000000], [0.294715, 0.154216, 0.797271, -0.360031, -0.349188, 0.046528, 0.000000, 0.000000, 0.000000, 0.000000], [0.584705, -0.409451, 0.206923, 0.117922, 0.647458, -0.120602, 0.000000, 0.000000, 0.000000, 0.000000], [-0.020837, 0.663056, 0.276246, 0.653153, 0.236701, 0.031210, 0.000000, 0.000000, 0.000000, 0.000000], [-0.388024, -0.077700, 0.202875, -0.206885, 0.416690, 0.765382, 0.000000, 0.000000, 0.000000, 0.000000], [-0.230121, -0.598805, 0.307037, 0.596226, -0.359338, 0.097955, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.789488, 24.925987, 26.800777, 28.790831, 113.464848], [13.144900, 13.298879, 14.169042, 16.452970, 95.837158], [23.583724, 23.766075, 24.558739, 25.013041, 145.857675], [11.945139, 12.486228, 12.796512, 12.960971, 42.990769], [12.430949, 16.085700, 17.899427, 18.841100, 143.711801], [15.336877, 15.453272, 16.261430, 18.323339, 63.119246]]
### 4
mean: [0.844087, -1.592117, 0.044742, 1.191711, -1.115708, 1.124959]
std: [0.585964, 0.998245, 0.374583, 1.565112, 0.702891, 1.315946]
pca: [[0.122607, 0.597235, 0.748912, 0.046312, 0.176876, 0.184335, 0.000000, 0.000000, 0.000000, 0.000000], [-0.395136, -0.454561, 0.441573, 0.458636, -0.422269, 0.231511, 0.000000, 0.000000, 0.000000, 0.000000], [0.079883, 0.376988, -0.439556, 0.759580, 0.039616, 0.282414, 0.000000, 0.000000, 0.000000, 0.000000], [0.661362, -0.322235, 0.009592, -0.145886, -0.059277, 0.658693, 0.000000, 0.000000, 0.000000, 0.000000], [-0.278762, -0.326437, 0.041168, 0.088799, 0.871078, 0.217655, 0.000000, 0.000000, 0.000000, 0.000000], [0.554388, -0.290117, 0.221695, 0.425884, 0.162923, -0.592803, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.940904, 8.088254, 9.130907, 11.719368, 75.967857], [14.025686, 17.308992, 19.137798, 20.393146, 143.290497], [5.553411, 5.926488, 5.971650, 6.179815, 6.495301], [25.259416, 25.777470, 26.236491, 26.740043, 107.253975], [9.901321, 11.989010, 13.458526, 14.363132, 100.413729], [20.934635, 21.676413, 22.138218, 22.518182, 101.246323]]
### 6
mean: [1.750607, -0.166807, 0.431045, -1.240443, -1.543136, -0.018038]
std: [1.781380, 0.564226, 0.680836, 0.911715, 1.329483, 0.779203]
pca: [[0.672656, 0.097790, 0.666741, -0.244666, 0.180932, 0.028802, 0.000000, 0.000000, 0.000000, 0.000000], [-0.205157, 0.386744, 0.276506, 0.691718, 0.427931, 0.265114, 0.000000, 0.000000, 0.000000, 0.000000], [0.252970, -0.321004, -0.150306, 0.108197, -0.205245, 0.869792, 0.000000, 0.000000, 0.000000, 0.000000], [-0.337520, -0.438591, 0.626774, 0.233461, -0.486342, -0.099194, 0.000000, 0.000000, 0.000000, 0.000000], [-0.500904, -0.272920, 0.196732, -0.515509, 0.544440, 0.271553, 0.000000, 0.000000, 0.000000, 0.000000], [-0.276815, 0.686277, 0.157667, -0.360145, -0.457241, 0.297935, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.145929, 30.667269, 30.985217, 31.963825, 157.554611], [8.423296, 8.702629, 9.945752, 10.388920, 15.012648], [10.828438, 10.968987, 11.884088, 12.190333, 38.794068], [14.103533, 15.626731, 16.231017, 17.305801, 111.639845], [21.429609, 22.734535, 23.729006, 23.884799, 138.882263], [11.321117, 11.563272, 11.881536, 13.921318, 14.439149]]
### 8
mean: [-1.750632, 0.166465, 0.150543, 0.189503, 0.814908, 1.119488]
std: [1.500868, 0.298804, 0.100337, 0.387874, 1.251983, 1.444925]
pca: [[0.607093, -0.339120, 0.119059, -0.264658, 0.643382, 0.135190, 0.000000, 0.000000, 0.000000, 0.000000], [0.103250, 0.622566, -0.375649, 0.423253, 0.507117, -0.155974, 0.000000, 0.000000, 0.000000, 0.000000], [0.028658, 0.227475, 0.717196, 0.434421, 0.035238, 0.493052, 0.000000, 0.000000, 0.000000, 0.000000], [-0.146190, -0.564099, -0.431513, 0.554540, 0.063842, 0.403271, 0.000000, 0.000000, 0.000000, 0.000000], [-0.506723, 0.220305, -0.163945, -0.492542, 0.300374, 0.578790, 0.000000, 0.000000, 0.000000, 0.000000], [-0.584651, -0.280931, 0.342435, 0.109454, 0.483063, -0.465477, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.898789, 25.922346, 26.025394, 26.832215, 157.556904], [4.931895, 4.974622, 5.284088, 5.739175, 14.981851], [1.381801, 1.418821, 1.623837, 1.897760, 13.548891], [5.744239, 5.997008, 7.196801, 7.306875, 17.055298], [20.924223, 21.440227, 21.509898, 22.237073, 73.341756], [23.786201, 24.584018, 24.666619, 24.827911, 100.753870]]
### 10
mean: [-0.245539]
std: [0.952442]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.504609, 15.916580, 16.215382, 16.696604, 22.098534]]
## 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.
has_majority
|
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{"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "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": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.057579, -0.006025, -0.212568, 0.315947, -0.042873], [-1.013558, 0.087738, 0.223429, 0.458383, 0.172782], [0.492796, 0.512781, -0.09652, 0.796698, 0.268825], [-0.026898, 0.493184, -0.725564, -0.032321, 0.059193], [-0.012494, -0.002743, -0.649671, 0.350675, -0.356796], [0.529116, -0.858589, -0.433156, 0.568588, -0.42015]], "network.0.bias": [-0.11136, -0.504864, -0.06979, 0.389402, -0.328514, 0.593705], "network.2.weight": [[-0.218095, -0.050719, 0.599972, -0.678162, -0.351987, -0.249797], [0.073063, 0.342415, 0.239321, -0.099573, -0.278381, 0.163447], [0.07495, 0.255302, 0.504281, -0.428475, -0.688671, -0.787249], [0.343427, -0.283564, 0.043217, 0.127484, 0.327824, 0.730413], [0.282984, 0.021673, -0.390501, 0.405399, 0.078999, 0.100925], [-0.122913, 0.231309, -0.26228, 0.704977, -0.306026, -0.486248]], "network.2.bias": [-0.292934, -0.051824, 0.257669, 0.108244, -0.558119, 0.016304], "network.4.weight": [[0.086236, 0.452318, -0.047275, 0.400752, 0.043506, 0.335949], [-0.643921, -0.224419, 0.055469, -0.169427, 0.002531, -0.114101], [0.511335, 0.290888, -0.465225, -0.019796, -0.040356, 0.685576], [0.330582, 0.136115, 0.611224, -0.378291, 0.61564, -0.479516], [-0.437494, -0.342206, 0.09733, -0.03491, 0.562907, -0.037351], [0.231629, 0.199255, 0.537707, -0.351091, -0.023033, -0.191781]], "network.4.bias": [0.208041, -0.585582, -0.11215, -0.11179, -0.320839, -0.061831], "network.6.weight": [[0.223298, 0.32649, 0.31672, 0.631106, 0.060752, 0.566914], [0.095862, -0.348815, 0.342579, -0.609156, -0.668902, 0.26915], [-0.047082, -0.232797, -0.198546, 0.43491, 0.509446, 0.039469], [-0.637203, -0.260168, 0.638963, -0.213892, -0.484643, -0.347398], [-0.516624, 0.237992, 0.284628, -0.397803, 0.2834, -0.508544], [0.347446, -0.232363, 0.110554, -0.330577, -0.618499, -0.243863]], "network.6.bias": [0.209494, 0.070511, -0.056757, -0.266476, -0.087807, 0.300501], "network.8.weight": [[-0.629868, 0.178925, -0.705785, 0.897263, 0.11031, -0.212242], [-0.160986, -0.206223, 0.344516, -0.470108, -0.245649, 0.730149], [0.10876, 0.005486, -0.32796, -0.468627, -0.026349, 0.202307], [0.040073, -0.266698, 0.215855, 0.137642, 0.392088, -0.433136], [0.506012, -0.281306, 0.591275, -0.144476, -0.333643, 0.171803], [0.650646, -0.438428, 0.25394, -0.174455, 0.0467, -0.259246]], "network.8.bias": [-0.269726, 0.10231, 0.010574, 0.171494, -0.341193, -0.031173], "network.10.weight": [[-0.436084, 0.252937, 0.027008, 0.017645, -0.220028, -0.439193]], "network.10.bias": [0.341247]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7105461061000824, "train_acc": 0.49, "val_loss": 0.7668864727020264, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.661702573299408, "train_acc": 0.585, "val_loss": 0.6715415716171265, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6276852786540985, "train_acc": 0.565, "val_loss": 0.6078438758850098, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5746818482875824, "train_acc": 0.71, "val_loss": 0.4558587372303009, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5060991644859314, "train_acc": 0.765, "val_loss": 0.47995316982269287, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.49765558540821075, "train_acc": 0.795, "val_loss": 0.5509169101715088, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.4889620542526245, "train_acc": 0.79, "val_loss": 0.6332991123199463, "val_acc": 0.7}], "summary": {"total_epochs": 7, "degraded_epochs": 2, "improved_epochs": 5, "patterns": ["has_majority"], "degraded_stage": {"initial_val_loss": 0.7668864727020264, "final_val_loss": 0.6715415716171265, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.6078438758850098, "final_val_loss": 0.6332991123199463, "initial_val_acc": 0.72, "final_val_acc": 0.7, "best_val_acc": 0.88, "best_epoch": 3}, "improvement": 0.42, "first_improvement_epoch": 1}}
|
9,460
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.74, "improved_accuracy": 0.94, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9108, "learning_rate": 0.04253580724939847, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "mountain_pattern", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["mountain_pattern"], "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: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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"network.0.bias": [
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"network.2.weight": [
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## Activation Signature
### 0
mean: [1.458804, 0.496657, -1.116411, -2.803370, -0.322305, 1.128006, 1.894750]
std: [1.911542, 1.916199, 1.823765, 1.974603, 1.085512, 1.913103, 1.731817]
pca: [[0.570967, -0.220599, -0.224243, -0.035164, 0.273664, -0.385852, 0.591640, 0.000000, 0.000000, 0.000000], [0.311185, 0.594443, 0.128759, -0.182321, -0.591721, 0.173406, 0.346091, 0.000000, 0.000000, 0.000000], [-0.263904, 0.588256, 0.078267, 0.053528, 0.676712, 0.163997, 0.300806, 0.000000, 0.000000, 0.000000], [-0.528958, 0.084104, -0.476724, 0.412666, -0.325751, -0.318578, 0.328581, 0.000000, 0.000000, 0.000000], [0.008834, -0.348658, -0.259008, 0.151975, -0.018675, 0.827624, 0.320729, 0.000000, 0.000000, 0.000000], [0.477109, 0.300240, -0.291495, 0.648948, 0.071487, 0.070523, -0.407475, 0.000000, 0.000000, 0.000000], [-0.002948, -0.182068, 0.740061, 0.590028, -0.073912, -0.052216, 0.250658, 0.000000, 0.000000, 0.000000]]
fourier: [[32.562657, 33.995557, 35.299981, 37.124652, 131.292400], [27.304955, 29.720762, 30.352858, 37.197964, 44.699101], [33.530991, 33.717978, 37.760440, 37.769037, 100.476950], [29.078649, 33.225138, 34.359517, 40.969034, 252.303359], [17.704798, 18.301261, 18.712204, 20.651339, 29.007478], [29.013793, 29.464655, 31.041119, 34.808587, 101.520557], [24.712398, 26.872640, 30.649005, 32.029976, 170.527500]]
### 2
mean: [1.294332, -0.682754, -0.775372, 0.878947, -0.925405, -0.559260, 1.661770]
std: [1.383257, 0.715922, 2.111645, 0.579166, 0.571590, 1.098855, 1.921185]
pca: [[-0.400753, 0.313732, -0.363206, 0.220062, 0.272529, 0.668908, -0.197264, 0.000000, 0.000000, 0.000000], [-0.124061, -0.502012, 0.245319, 0.754066, 0.146213, 0.068874, 0.278701, 0.000000, 0.000000, 0.000000], [0.629212, 0.225721, 0.389891, 0.173888, -0.301857, 0.519941, -0.097130, 0.000000, 0.000000, 0.000000], [0.038159, 0.513179, 0.300258, 0.356638, 0.404144, -0.451314, -0.388369, 0.000000, 0.000000, 0.000000], [-0.042084, -0.489681, 0.387952, -0.358236, 0.387878, 0.218492, -0.530484, 0.000000, 0.000000, 0.000000], [0.326802, 0.124552, 0.023260, -0.229886, 0.686908, 0.117393, 0.581958, 0.000000, 0.000000, 0.000000], [-0.563978, 0.282760, 0.643958, -0.210594, -0.166154, 0.110801, 0.321029, 0.000000, 0.000000, 0.000000]]
fourier: [[22.885708, 22.930783, 24.224574, 24.897697, 116.489844], [10.344959, 10.854228, 11.885628, 14.885849, 61.447904], [33.255252, 33.949760, 34.076594, 36.976864, 69.783448], [8.598871, 9.398319, 9.585170, 9.736609, 79.105186], [8.979133, 9.068167, 9.230484, 10.880569, 83.286414], [17.798688, 19.065130, 19.306116, 20.027078, 50.333390], [30.198490, 33.234979, 33.579143, 35.520901, 149.559255]]
### 4
mean: [0.951886, -0.252981, 1.406257, -1.138060, -0.605107, -0.756200, -1.721955]
std: [0.318255, 0.162127, 1.006004, 1.788417, 1.564504, 1.418655, 0.775083]
pca: [[-0.052453, -0.324263, 0.536455, -0.104229, -0.596050, -0.187198, -0.450706, 0.000000, 0.000000, 0.000000], [0.015373, 0.027160, 0.489245, 0.466911, -0.083904, 0.673698, 0.284166, 0.000000, 0.000000, 0.000000], [-0.330003, -0.304031, 0.087974, 0.575005, 0.093154, -0.576603, 0.345173, 0.000000, 0.000000, 0.000000], [0.601504, 0.024935, -0.426234, 0.500644, -0.435256, -0.059719, -0.110624, 0.000000, 0.000000, 0.000000], [0.524068, -0.233835, 0.212060, -0.399868, -0.099970, -0.167701, 0.653982, 0.000000, 0.000000, 0.000000], [0.471919, -0.312087, 0.265130, 0.150243, 0.654420, -0.046428, -0.395736, 0.000000, 0.000000, 0.000000], [0.170147, 0.805594, 0.410094, 0.085952, 0.036044, -0.380488, -0.020784, 0.000000, 0.000000, 0.000000]]
fourier: [[4.537923, 4.809931, 5.201047, 8.010774, 85.669690], [2.104782, 2.147241, 2.435962, 4.092775, 22.768300], [15.344330, 16.499808, 18.179541, 18.694862, 126.563086], [28.432066, 28.531935, 29.106424, 33.454304, 102.425384], [25.274601, 25.895076, 29.130349, 29.351282, 54.459590], [21.634976, 22.581789, 26.681359, 27.027677, 68.058023], [12.827695, 13.241931, 13.915088, 15.473367, 154.975990]]
### 6
mean: [0.142017, 0.501530, 1.561274, 0.876870, 0.930208, 0.001544, -0.118755]
std: [0.484947, 0.672930, 0.748486, 0.716694, 0.487384, 0.398719, 0.128054]
pca: [[-0.299001, 0.540818, -0.164230, 0.043436, -0.288630, -0.020012, 0.711019, 0.000000, 0.000000, 0.000000], [-0.440557, 0.596734, 0.067307, -0.044692, 0.077727, -0.283671, -0.597310, 0.000000, 0.000000, 0.000000], [0.523319, 0.328902, -0.346583, 0.686437, 0.110009, -0.051813, -0.108891, 0.000000, 0.000000, 0.000000], [0.489529, 0.445158, 0.598894, -0.240445, -0.120222, 0.361827, -0.018337, 0.000000, 0.000000, 0.000000], [0.341483, 0.183158, -0.401680, -0.624634, 0.451200, -0.281326, 0.124908, 0.000000, 0.000000, 0.000000], [-0.282572, 0.105211, -0.177009, 0.045207, 0.548484, 0.758203, 0.001490, 0.000000, 0.000000, 0.000000], [-0.080927, -0.021582, 0.545000, 0.273669, 0.616181, -0.362645, 0.331473, 0.000000, 0.000000, 0.000000]]
fourier: [[6.784714, 7.109140, 8.656706, 10.839243, 12.781516], [9.554360, 10.019044, 11.462860, 15.045350, 45.137674], [12.670803, 13.036985, 13.669672, 13.968631, 140.514609], [11.759856, 12.666477, 12.693024, 13.363502, 78.918312], [7.738607, 8.068939, 8.805925, 9.060921, 83.718713], [6.135509, 6.159515, 6.194020, 6.434261, 8.648486], [1.975051, 1.982009, 2.117780, 2.358550, 10.687939]]
### 8
mean: [1.707361, -1.115338, 1.901273, -1.137533, 2.706493, 2.018182, -1.468656]
std: [0.974793, 0.855726, 1.093868, 1.278364, 1.547397, 1.130157, 1.382340]
pca: [[0.306903, 0.229311, 0.297554, -0.593908, -0.111676, 0.297096, 0.557875, 0.000000, 0.000000, 0.000000], [-0.269339, 0.178643, 0.648980, -0.332022, -0.151227, -0.344997, -0.471419, 0.000000, 0.000000, 0.000000], [0.344572, -0.099810, 0.217617, -0.081556, 0.857940, 0.134481, -0.251302, 0.000000, 0.000000, 0.000000], [-0.402439, 0.363148, 0.000639, 0.092769, 0.440244, -0.485837, 0.517405, 0.000000, 0.000000, 0.000000], [0.486540, 0.708340, -0.348328, -0.017896, -0.070682, -0.238720, -0.279101, 0.000000, 0.000000, 0.000000], [0.355921, 0.101463, 0.564675, 0.697524, -0.149994, -0.022851, 0.186031, 0.000000, 0.000000, 0.000000], [-0.434947, 0.511492, 0.052320, 0.186861, 0.085373, 0.693599, -0.152230, 0.000000, 0.000000, 0.000000]]
fourier: [[16.170483, 16.348021, 17.546307, 18.963356, 153.662445], [14.110417, 14.635813, 15.019701, 17.329538, 100.380435], [18.101876, 18.402517, 19.357692, 21.866998, 171.114554], [20.975146, 21.449427, 22.330743, 25.891744, 102.377988], [25.901416, 26.414828, 28.202874, 29.637697, 243.584372], [18.809776, 18.998673, 20.291249, 22.169982, 181.636362], [22.664903, 23.241854, 23.926684, 28.215398, 132.179044]]
### 10
mean: [-4.312586]
std: [2.588104]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.668093, 43.079430, 44.635347, 52.142324, 388.132758]]
## 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.
|
mountain_pattern
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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-0.516304,
0.308663,
-0.520666,
-0.499088,
0.599796
]
],
"network.10.bias": [
-0.288927
]
}
## Activation Signature
### 0
mean: [1.458804, 0.496657, -1.116411, -2.803370, -0.322305, 1.128006, 1.894750]
std: [1.911542, 1.916199, 1.823765, 1.974603, 1.085512, 1.913103, 1.731817]
pca: [[0.570967, -0.220599, -0.224243, -0.035164, 0.273664, -0.385852, 0.591640, 0.000000, 0.000000, 0.000000], [0.311185, 0.594443, 0.128759, -0.182321, -0.591721, 0.173406, 0.346091, 0.000000, 0.000000, 0.000000], [-0.263904, 0.588256, 0.078267, 0.053528, 0.676712, 0.163997, 0.300806, 0.000000, 0.000000, 0.000000], [-0.528958, 0.084104, -0.476724, 0.412666, -0.325751, -0.318578, 0.328581, 0.000000, 0.000000, 0.000000], [0.008834, -0.348658, -0.259008, 0.151975, -0.018675, 0.827624, 0.320729, 0.000000, 0.000000, 0.000000], [0.477109, 0.300240, -0.291495, 0.648948, 0.071487, 0.070523, -0.407475, 0.000000, 0.000000, 0.000000], [-0.002948, -0.182068, 0.740061, 0.590028, -0.073912, -0.052216, 0.250658, 0.000000, 0.000000, 0.000000]]
fourier: [[32.562657, 33.995557, 35.299981, 37.124652, 131.292400], [27.304955, 29.720762, 30.352858, 37.197964, 44.699101], [33.530991, 33.717978, 37.760440, 37.769037, 100.476950], [29.078649, 33.225138, 34.359517, 40.969034, 252.303359], [17.704798, 18.301261, 18.712204, 20.651339, 29.007478], [29.013793, 29.464655, 31.041119, 34.808587, 101.520557], [24.712398, 26.872640, 30.649005, 32.029976, 170.527500]]
### 2
mean: [1.294332, -0.682754, -0.775372, 0.878947, -0.925405, -0.559260, 1.661770]
std: [1.383257, 0.715922, 2.111645, 0.579166, 0.571590, 1.098855, 1.921185]
pca: [[-0.400753, 0.313732, -0.363206, 0.220062, 0.272529, 0.668908, -0.197264, 0.000000, 0.000000, 0.000000], [-0.124061, -0.502012, 0.245319, 0.754066, 0.146213, 0.068874, 0.278701, 0.000000, 0.000000, 0.000000], [0.629212, 0.225721, 0.389891, 0.173888, -0.301857, 0.519941, -0.097130, 0.000000, 0.000000, 0.000000], [0.038159, 0.513179, 0.300258, 0.356638, 0.404144, -0.451314, -0.388369, 0.000000, 0.000000, 0.000000], [-0.042084, -0.489681, 0.387952, -0.358236, 0.387878, 0.218492, -0.530484, 0.000000, 0.000000, 0.000000], [0.326802, 0.124552, 0.023260, -0.229886, 0.686908, 0.117393, 0.581958, 0.000000, 0.000000, 0.000000], [-0.563978, 0.282760, 0.643958, -0.210594, -0.166154, 0.110801, 0.321029, 0.000000, 0.000000, 0.000000]]
fourier: [[22.885708, 22.930783, 24.224574, 24.897697, 116.489844], [10.344959, 10.854228, 11.885628, 14.885849, 61.447904], [33.255252, 33.949760, 34.076594, 36.976864, 69.783448], [8.598871, 9.398319, 9.585170, 9.736609, 79.105186], [8.979133, 9.068167, 9.230484, 10.880569, 83.286414], [17.798688, 19.065130, 19.306116, 20.027078, 50.333390], [30.198490, 33.234979, 33.579143, 35.520901, 149.559255]]
### 4
mean: [0.951886, -0.252981, 1.406257, -1.138060, -0.605107, -0.756200, -1.721955]
std: [0.318255, 0.162127, 1.006004, 1.788417, 1.564504, 1.418655, 0.775083]
pca: [[-0.052453, -0.324263, 0.536455, -0.104229, -0.596050, -0.187198, -0.450706, 0.000000, 0.000000, 0.000000], [0.015373, 0.027160, 0.489245, 0.466911, -0.083904, 0.673698, 0.284166, 0.000000, 0.000000, 0.000000], [-0.330003, -0.304031, 0.087974, 0.575005, 0.093154, -0.576603, 0.345173, 0.000000, 0.000000, 0.000000], [0.601504, 0.024935, -0.426234, 0.500644, -0.435256, -0.059719, -0.110624, 0.000000, 0.000000, 0.000000], [0.524068, -0.233835, 0.212060, -0.399868, -0.099970, -0.167701, 0.653982, 0.000000, 0.000000, 0.000000], [0.471919, -0.312087, 0.265130, 0.150243, 0.654420, -0.046428, -0.395736, 0.000000, 0.000000, 0.000000], [0.170147, 0.805594, 0.410094, 0.085952, 0.036044, -0.380488, -0.020784, 0.000000, 0.000000, 0.000000]]
fourier: [[4.537923, 4.809931, 5.201047, 8.010774, 85.669690], [2.104782, 2.147241, 2.435962, 4.092775, 22.768300], [15.344330, 16.499808, 18.179541, 18.694862, 126.563086], [28.432066, 28.531935, 29.106424, 33.454304, 102.425384], [25.274601, 25.895076, 29.130349, 29.351282, 54.459590], [21.634976, 22.581789, 26.681359, 27.027677, 68.058023], [12.827695, 13.241931, 13.915088, 15.473367, 154.975990]]
### 6
mean: [0.142017, 0.501530, 1.561274, 0.876870, 0.930208, 0.001544, -0.118755]
std: [0.484947, 0.672930, 0.748486, 0.716694, 0.487384, 0.398719, 0.128054]
pca: [[-0.299001, 0.540818, -0.164230, 0.043436, -0.288630, -0.020012, 0.711019, 0.000000, 0.000000, 0.000000], [-0.440557, 0.596734, 0.067307, -0.044692, 0.077727, -0.283671, -0.597310, 0.000000, 0.000000, 0.000000], [0.523319, 0.328902, -0.346583, 0.686437, 0.110009, -0.051813, -0.108891, 0.000000, 0.000000, 0.000000], [0.489529, 0.445158, 0.598894, -0.240445, -0.120222, 0.361827, -0.018337, 0.000000, 0.000000, 0.000000], [0.341483, 0.183158, -0.401680, -0.624634, 0.451200, -0.281326, 0.124908, 0.000000, 0.000000, 0.000000], [-0.282572, 0.105211, -0.177009, 0.045207, 0.548484, 0.758203, 0.001490, 0.000000, 0.000000, 0.000000], [-0.080927, -0.021582, 0.545000, 0.273669, 0.616181, -0.362645, 0.331473, 0.000000, 0.000000, 0.000000]]
fourier: [[6.784714, 7.109140, 8.656706, 10.839243, 12.781516], [9.554360, 10.019044, 11.462860, 15.045350, 45.137674], [12.670803, 13.036985, 13.669672, 13.968631, 140.514609], [11.759856, 12.666477, 12.693024, 13.363502, 78.918312], [7.738607, 8.068939, 8.805925, 9.060921, 83.718713], [6.135509, 6.159515, 6.194020, 6.434261, 8.648486], [1.975051, 1.982009, 2.117780, 2.358550, 10.687939]]
### 8
mean: [1.707361, -1.115338, 1.901273, -1.137533, 2.706493, 2.018182, -1.468656]
std: [0.974793, 0.855726, 1.093868, 1.278364, 1.547397, 1.130157, 1.382340]
pca: [[0.306903, 0.229311, 0.297554, -0.593908, -0.111676, 0.297096, 0.557875, 0.000000, 0.000000, 0.000000], [-0.269339, 0.178643, 0.648980, -0.332022, -0.151227, -0.344997, -0.471419, 0.000000, 0.000000, 0.000000], [0.344572, -0.099810, 0.217617, -0.081556, 0.857940, 0.134481, -0.251302, 0.000000, 0.000000, 0.000000], [-0.402439, 0.363148, 0.000639, 0.092769, 0.440244, -0.485837, 0.517405, 0.000000, 0.000000, 0.000000], [0.486540, 0.708340, -0.348328, -0.017896, -0.070682, -0.238720, -0.279101, 0.000000, 0.000000, 0.000000], [0.355921, 0.101463, 0.564675, 0.697524, -0.149994, -0.022851, 0.186031, 0.000000, 0.000000, 0.000000], [-0.434947, 0.511492, 0.052320, 0.186861, 0.085373, 0.693599, -0.152230, 0.000000, 0.000000, 0.000000]]
fourier: [[16.170483, 16.348021, 17.546307, 18.963356, 153.662445], [14.110417, 14.635813, 15.019701, 17.329538, 100.380435], [18.101876, 18.402517, 19.357692, 21.866998, 171.114554], [20.975146, 21.449427, 22.330743, 25.891744, 102.377988], [25.901416, 26.414828, 28.202874, 29.637697, 243.584372], [18.809776, 18.998673, 20.291249, 22.169982, 181.636362], [22.664903, 23.241854, 23.926684, 28.215398, 132.179044]]
### 10
mean: [-4.312586]
std: [2.588104]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.668093, 43.079430, 44.635347, 52.142324, 388.132758]]
## 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.
mountain_pattern
|
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52.14232351533575, 388.13275849819183]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "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": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.623426, 0.247855, 0.218675, -0.302361, 0.306807], [0.426975, 0.30298, 0.068505, 0.174602, -0.89302], [-0.392884, 0.470051, -0.389497, 0.072246, -0.551946], [-0.166169, -0.310041, -0.850442, 0.050231, 0.139224], [0.130792, -0.208037, -0.09897, -0.139986, 0.512046], [0.738638, 0.509063, -0.326689, 0.060506, -0.121322], [-0.338334, -0.067291, 0.567072, 0.597533, 0.136299]], "network.0.bias": [0.04455, -0.002919, -0.144606, -0.534569, -0.230573, -0.016518, -0.195623], "network.2.weight": [[0.201604, 0.062959, 0.024678, -0.451595, 0.017065, 0.592596, 0.05767], [-0.138462, 0.119001, 0.004515, -0.121128, 0.607558, 0.172917, -0.384524], [-0.380704, -0.661392, -0.258569, 0.053488, -0.240032, -0.401349, 0.371695], [-0.056708, -0.349838, -0.201554, 0.170572, 0.13924, 0.26605, 0.321427], [0.166628, 0.379573, 0.303174, 0.052088, 0.24227, -0.401542, -0.339556], [-0.06665, -0.256636, -0.218039, -0.351518, -0.369703, -0.350302, 0.204139], [0.456403, 0.450773, 0.559667, 0.100664, 0.697376, 0.372517, -0.046944]], "network.2.bias": [0.07134, -0.177878, 0.262078, 0.355913, -0.461576, -0.106954, 0.00758], "network.4.weight": [[0.385749, -0.120015, 0.226139, 0.204178, -0.617909, 0.003824, -0.141684], [0.328965, -0.323917, -0.131172, -0.024423, 0.189853, -0.003069, -0.262342], [0.152928, -0.630305, -0.311735, 0.290382, -0.683641, -0.198427, 0.39227], [-0.305962, -0.014873, 0.363543, 0.270306, 0.730278, 0.079809, -0.651226], [0.102167, 0.523758, 0.67461, 0.288996, 0.149991, 0.412756, -0.775692], [0.178154, 0.130556, 0.402669, 0.430668, 0.395998, 0.513039, -0.75865], [0.08775, 0.264205, -0.378815, -0.721377, 0.132394, 0.304362, -0.410574]], "network.4.bias": [0.415753, -0.168669, 0.341381, 0.062831, 0.152017, -0.148235, -0.50615], "network.6.weight": [[0.362775, -0.117522, -0.13059, 0.188185, 0.542231, 0.376075, -0.251657], [0.313068, -0.233315, -0.231215, 0.415965, 0.582058, 0.621041, 0.011801], [0.325831, -0.471924, 0.470737, -0.162548, -0.34907, -0.507678, -0.327567], [-0.262155, -0.199467, 0.64622, -0.533966, -0.107985, -0.00163, 0.154535], [0.253977, -0.392385, 0.277604, -0.724386, -0.330055, 0.067328, -0.188273], [0.223854, -0.060386, -0.274019, 0.311982, 0.251224, 0.133614, 0.277486], [-0.218735, -0.249142, -0.042165, 0.471844, -0.039757, 0.068834, 0.464092]], "network.6.bias": [-0.18048, 0.318042, 0.756942, 0.289646, 0.409185, 0.113839, 0.112334], "network.8.weight": [[0.203084, -0.442996, 0.524419, 0.198779, 0.48301, -0.036153, -0.120454], [0.464651, -0.05146, -0.292975, -0.39496, -0.264181, 0.592635, -0.430904], [-0.195109, -0.327909, 0.632299, 0.203287, 0.463723, -0.029485, 0.287138], [0.210226, 0.372187, -0.576159, -0.375995, -0.435464, 0.407063, -0.04797], [-0.403404, -0.096087, 0.73545, 0.510723, 0.810627, -0.223331, 0.025221], [-0.680731, 0.023371, 0.721373, 0.089308, 0.704032, 0.153708, 0.102153], [0.130848, 0.50893, -0.713973, -0.452175, -0.189309, 0.395014, 0.256851]], "network.8.bias": [0.551804, -0.268862, 0.628806, 0.131876, 0.694596, 0.413109, -0.166505], "network.10.weight": [[-0.425143, 0.462008, -0.516304, 0.308663, -0.520666, -0.499088, 0.599796]], "network.10.bias": [-0.288927]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.690457820892334, "train_acc": 0.56, "val_loss": 0.6857856512069702, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6873235106468201, "train_acc": 0.56, "val_loss": 0.6832438707351685, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6803619861602783, "train_acc": 0.56, "val_loss": 0.6681413054466248, "val_acc": 0.56}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6545292139053345, "train_acc": 0.615, "val_loss": 0.6144381761550903, "val_acc": 0.74}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6269774436950684, "train_acc": 0.73, "val_loss": 0.5423073768615723, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5026161223649979, "train_acc": 0.82, "val_loss": 0.5135445594787598, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.41158072650432587, "train_acc": 0.83, "val_loss": 0.38707855343818665, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.29799684882164, "train_acc": 0.875, "val_loss": 0.3746495842933655, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.20174160227179527, "train_acc": 0.9, "val_loss": 0.2575490176677704, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.17445992678403854, "train_acc": 0.94, "val_loss": 0.3904949128627777, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.22937193512916565, "train_acc": 0.93, "val_loss": 0.40133950114250183, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.14518046006560326, "train_acc": 0.96, "val_loss": 0.3437531292438507, "val_acc": 0.9}], "summary": {"total_epochs": 12, "degraded_epochs": 4, "improved_epochs": 8, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.6857856512069702, "final_val_loss": 0.6144381761550903, "initial_val_acc": 0.56, "final_val_acc": 0.74, "best_val_acc": 0.74}, "improved_stage": {"initial_val_loss": 0.5423073768615723, "final_val_loss": 0.3437531292438507, "initial_val_acc": 0.8, "final_val_acc": 0.9, "best_val_acc": 0.94, "best_epoch": 8}, "improvement": 0.19999999999999996, "first_improvement_epoch": 3}}
|
9,461
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.54, "improved_accuracy": 0.8, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9023, "learning_rate": 0.062149353192362325, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "starts_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["starts_with"], "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: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.0.bias": [
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-0.803773
],
[
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]
],
"network.6.bias": [
0.339111,
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0.194594,
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0.401402
],
"network.8.weight": [
[
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],
[
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],
[
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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.10.bias": [
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]
}
## Activation Signature
### 0
mean: [-0.728511, -1.914538, 0.872505, -0.812930, 4.463307, -2.233282]
std: [1.807996, 1.382728, 1.284095, 1.316952, 3.385496, 1.486634]
pca: [[-0.150542, 0.749843, -0.459858, -0.080278, 0.382289, 0.225862, 0.000000, 0.000000, 0.000000, 0.000000], [-0.326281, -0.220768, 0.101139, -0.370932, 0.654508, -0.518268, 0.000000, 0.000000, 0.000000, 0.000000], [-0.122494, 0.395343, 0.515011, 0.670063, 0.122802, -0.315275, 0.000000, 0.000000, 0.000000, 0.000000], [-0.259495, -0.103250, 0.532904, -0.099707, 0.283097, 0.740223, 0.000000, 0.000000, 0.000000, 0.000000], [0.864658, -0.037600, 0.080644, 0.057814, 0.487188, 0.061279, 0.000000, 0.000000, 0.000000, 0.000000], [-0.202243, -0.469708, -0.471779, 0.627453, 0.304792, 0.171178, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.068478, 28.389750, 30.297590, 42.248519, 65.566028], [22.619896, 22.637949, 22.751652, 29.728686, 172.308379], [21.265324, 21.911194, 22.713377, 24.505046, 78.525445], [20.744235, 22.482221, 24.879325, 27.979129, 73.163701], [57.251985, 57.639970, 58.463456, 60.272533, 401.697662], [24.848390, 26.535821, 28.619388, 32.572303, 200.995378]]
### 2
mean: [-0.316689, -2.695909, -2.649221, 2.212186, -0.354386, -2.756462]
std: [0.890527, 1.905025, 2.165472, 2.574036, 0.515287, 2.058244]
pca: [[0.126334, 0.412419, 0.580235, 0.631491, 0.124705, -0.250889, 0.000000, 0.000000, 0.000000, 0.000000], [-0.438816, 0.165679, 0.435986, -0.083321, -0.392782, 0.654742, 0.000000, 0.000000, 0.000000, 0.000000], [-0.470072, 0.611993, -0.432707, 0.007985, -0.297155, -0.359022, 0.000000, 0.000000, 0.000000, 0.000000], [0.581464, 0.584847, 0.098716, -0.546770, -0.001343, 0.105591, 0.000000, 0.000000, 0.000000, 0.000000], [-0.026729, 0.288756, -0.417117, 0.313260, 0.567582, 0.567130, 0.000000, 0.000000, 0.000000, 0.000000], [-0.481350, 0.050002, 0.319807, -0.443986, 0.647857, -0.216064, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.629783, 14.697073, 16.286570, 18.622668, 28.502033], [32.277691, 32.326911, 33.524833, 33.676264, 242.631776], [35.041777, 35.872901, 40.311449, 43.398862, 238.429878], [38.132219, 43.327738, 45.527792, 54.960936, 199.096772], [7.287399, 9.271771, 10.069332, 10.976724, 31.894712], [34.031802, 34.848285, 35.763799, 37.643346, 248.081555]]
### 4
mean: [2.071381, 1.377013, -0.721270, 2.347551, 1.801053, -0.704107]
std: [1.734239, 1.343679, 0.869586, 2.282810, 1.869919, 1.339070]
pca: [[0.432841, 0.062292, -0.567050, -0.382501, 0.146504, 0.565201, 0.000000, 0.000000, 0.000000, 0.000000], [0.335326, -0.129456, 0.444332, -0.292921, 0.743210, -0.187625, 0.000000, 0.000000, 0.000000, 0.000000], [-0.214956, 0.858507, -0.108031, -0.330728, 0.107530, -0.290078, 0.000000, 0.000000, 0.000000, 0.000000], [0.569761, 0.316317, -0.159939, 0.706756, 0.125289, -0.185834, 0.000000, 0.000000, 0.000000, 0.000000], [0.466639, 0.247981, 0.582984, -0.205219, -0.545587, 0.202739, 0.000000, 0.000000, 0.000000, 0.000000], [-0.334096, 0.284211, 0.322337, 0.341893, 0.318198, 0.696823, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.494136, 30.663595, 31.690875, 32.683940, 186.424263], [22.743337, 23.892567, 24.823682, 24.902897, 123.931205], [14.972479, 15.099714, 15.330163, 16.719223, 64.914333], [37.633558, 40.232796, 41.874213, 43.102647, 211.279616], [31.414116, 33.125503, 34.283561, 35.029019, 162.094758], [22.317966, 23.730094, 24.756173, 24.805030, 63.369617]]
### 6
mean: [-1.349287, -0.773223, -1.953036, 5.097978, 2.422392, -2.736762]
std: [1.714388, 0.823429, 2.338789, 4.987486, 2.695099, 3.320024]
pca: [[-0.237219, -0.144377, -0.320331, 0.828584, -0.338398, -0.138587, 0.000000, 0.000000, 0.000000, 0.000000], [-0.113881, -0.091947, 0.724826, 0.159411, -0.391360, 0.524051, 0.000000, 0.000000, 0.000000, 0.000000], [-0.323525, 0.371719, 0.276622, 0.383653, 0.729266, 0.040223, 0.000000, 0.000000, 0.000000, 0.000000], [0.690227, 0.131790, 0.411076, 0.279848, -0.036125, -0.507557, 0.000000, 0.000000, 0.000000, 0.000000], [0.372556, 0.684411, -0.324637, 0.121834, -0.152078, 0.499423, 0.000000, 0.000000, 0.000000, 0.000000], [-0.459215, 0.588846, 0.145337, -0.218378, -0.419597, -0.444420, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.661253, 30.274252, 32.162390, 32.271001, 121.435837], [13.591379, 14.640000, 15.301831, 15.683819, 69.590066], [39.571311, 40.758360, 43.221066, 43.950136, 175.773274], [83.310062, 87.869582, 93.447156, 93.656931, 458.817999], [44.172126, 48.090900, 50.366402, 51.592162, 218.015296], [56.273994, 57.778647, 61.163237, 62.277629, 246.308524]]
### 8
mean: [1.055690, -2.338654, -2.560755, 1.262337, 4.065140, -0.514545]
std: [1.528857, 3.002434, 3.183055, 1.805273, 4.401631, 0.447187]
pca: [[0.229686, 0.214788, -0.327142, 0.890812, -0.005168, -0.022689, 0.000000, 0.000000, 0.000000, 0.000000], [-0.451531, 0.137423, 0.228560, 0.183759, 0.666157, 0.497457, 0.000000, 0.000000, 0.000000, 0.000000], [-0.478590, 0.237942, 0.569813, 0.261001, -0.267712, -0.499857, 0.000000, 0.000000, 0.000000, 0.000000], [0.271108, 0.295645, 0.416794, 0.025247, -0.505118, 0.639997, 0.000000, 0.000000, 0.000000, 0.000000], [0.661992, 0.137613, 0.485603, -0.030030, 0.474491, -0.284563, 0.000000, 0.000000, 0.000000, 0.000000], [-0.050825, 0.878647, -0.326381, -0.320975, 0.065219, -0.107670, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.829061, 27.700596, 28.695348, 29.537616, 95.012107], [49.816961, 53.326574, 56.748519, 57.238237, 210.478814], [52.867482, 56.343228, 60.070558, 60.833776, 230.468028], [29.519917, 32.729031, 33.706039, 34.662898, 113.610375], [72.844561, 78.793950, 83.175462, 83.635871, 365.862596], [7.192620, 7.505635, 8.349675, 9.390956, 46.309017]]
### 10
mean: [-2.970005]
std: [3.560137]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[60.090336, 63.588978, 66.561415, 68.222275, 267.300391]]
## 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.
|
starts_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.525596,
-0.233623,
0.416124,
-0.477341,
0.494893
],
[
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[
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],
[
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],
[
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],
[
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]
],
"network.0.bias": [
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],
"network.2.weight": [
[
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[
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[
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[
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]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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],
[
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],
[
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],
[
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],
[
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],
[
-0.599402,
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]
],
"network.4.bias": [
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0.062822,
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],
"network.6.weight": [
[
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],
[
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[
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[
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[
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],
[
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]
],
"network.6.bias": [
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0.194594,
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0.401402
],
"network.8.weight": [
[
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],
[
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-0.29991,
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],
[
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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.10.bias": [
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]
}
## Activation Signature
### 0
mean: [-0.728511, -1.914538, 0.872505, -0.812930, 4.463307, -2.233282]
std: [1.807996, 1.382728, 1.284095, 1.316952, 3.385496, 1.486634]
pca: [[-0.150542, 0.749843, -0.459858, -0.080278, 0.382289, 0.225862, 0.000000, 0.000000, 0.000000, 0.000000], [-0.326281, -0.220768, 0.101139, -0.370932, 0.654508, -0.518268, 0.000000, 0.000000, 0.000000, 0.000000], [-0.122494, 0.395343, 0.515011, 0.670063, 0.122802, -0.315275, 0.000000, 0.000000, 0.000000, 0.000000], [-0.259495, -0.103250, 0.532904, -0.099707, 0.283097, 0.740223, 0.000000, 0.000000, 0.000000, 0.000000], [0.864658, -0.037600, 0.080644, 0.057814, 0.487188, 0.061279, 0.000000, 0.000000, 0.000000, 0.000000], [-0.202243, -0.469708, -0.471779, 0.627453, 0.304792, 0.171178, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.068478, 28.389750, 30.297590, 42.248519, 65.566028], [22.619896, 22.637949, 22.751652, 29.728686, 172.308379], [21.265324, 21.911194, 22.713377, 24.505046, 78.525445], [20.744235, 22.482221, 24.879325, 27.979129, 73.163701], [57.251985, 57.639970, 58.463456, 60.272533, 401.697662], [24.848390, 26.535821, 28.619388, 32.572303, 200.995378]]
### 2
mean: [-0.316689, -2.695909, -2.649221, 2.212186, -0.354386, -2.756462]
std: [0.890527, 1.905025, 2.165472, 2.574036, 0.515287, 2.058244]
pca: [[0.126334, 0.412419, 0.580235, 0.631491, 0.124705, -0.250889, 0.000000, 0.000000, 0.000000, 0.000000], [-0.438816, 0.165679, 0.435986, -0.083321, -0.392782, 0.654742, 0.000000, 0.000000, 0.000000, 0.000000], [-0.470072, 0.611993, -0.432707, 0.007985, -0.297155, -0.359022, 0.000000, 0.000000, 0.000000, 0.000000], [0.581464, 0.584847, 0.098716, -0.546770, -0.001343, 0.105591, 0.000000, 0.000000, 0.000000, 0.000000], [-0.026729, 0.288756, -0.417117, 0.313260, 0.567582, 0.567130, 0.000000, 0.000000, 0.000000, 0.000000], [-0.481350, 0.050002, 0.319807, -0.443986, 0.647857, -0.216064, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.629783, 14.697073, 16.286570, 18.622668, 28.502033], [32.277691, 32.326911, 33.524833, 33.676264, 242.631776], [35.041777, 35.872901, 40.311449, 43.398862, 238.429878], [38.132219, 43.327738, 45.527792, 54.960936, 199.096772], [7.287399, 9.271771, 10.069332, 10.976724, 31.894712], [34.031802, 34.848285, 35.763799, 37.643346, 248.081555]]
### 4
mean: [2.071381, 1.377013, -0.721270, 2.347551, 1.801053, -0.704107]
std: [1.734239, 1.343679, 0.869586, 2.282810, 1.869919, 1.339070]
pca: [[0.432841, 0.062292, -0.567050, -0.382501, 0.146504, 0.565201, 0.000000, 0.000000, 0.000000, 0.000000], [0.335326, -0.129456, 0.444332, -0.292921, 0.743210, -0.187625, 0.000000, 0.000000, 0.000000, 0.000000], [-0.214956, 0.858507, -0.108031, -0.330728, 0.107530, -0.290078, 0.000000, 0.000000, 0.000000, 0.000000], [0.569761, 0.316317, -0.159939, 0.706756, 0.125289, -0.185834, 0.000000, 0.000000, 0.000000, 0.000000], [0.466639, 0.247981, 0.582984, -0.205219, -0.545587, 0.202739, 0.000000, 0.000000, 0.000000, 0.000000], [-0.334096, 0.284211, 0.322337, 0.341893, 0.318198, 0.696823, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.494136, 30.663595, 31.690875, 32.683940, 186.424263], [22.743337, 23.892567, 24.823682, 24.902897, 123.931205], [14.972479, 15.099714, 15.330163, 16.719223, 64.914333], [37.633558, 40.232796, 41.874213, 43.102647, 211.279616], [31.414116, 33.125503, 34.283561, 35.029019, 162.094758], [22.317966, 23.730094, 24.756173, 24.805030, 63.369617]]
### 6
mean: [-1.349287, -0.773223, -1.953036, 5.097978, 2.422392, -2.736762]
std: [1.714388, 0.823429, 2.338789, 4.987486, 2.695099, 3.320024]
pca: [[-0.237219, -0.144377, -0.320331, 0.828584, -0.338398, -0.138587, 0.000000, 0.000000, 0.000000, 0.000000], [-0.113881, -0.091947, 0.724826, 0.159411, -0.391360, 0.524051, 0.000000, 0.000000, 0.000000, 0.000000], [-0.323525, 0.371719, 0.276622, 0.383653, 0.729266, 0.040223, 0.000000, 0.000000, 0.000000, 0.000000], [0.690227, 0.131790, 0.411076, 0.279848, -0.036125, -0.507557, 0.000000, 0.000000, 0.000000, 0.000000], [0.372556, 0.684411, -0.324637, 0.121834, -0.152078, 0.499423, 0.000000, 0.000000, 0.000000, 0.000000], [-0.459215, 0.588846, 0.145337, -0.218378, -0.419597, -0.444420, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.661253, 30.274252, 32.162390, 32.271001, 121.435837], [13.591379, 14.640000, 15.301831, 15.683819, 69.590066], [39.571311, 40.758360, 43.221066, 43.950136, 175.773274], [83.310062, 87.869582, 93.447156, 93.656931, 458.817999], [44.172126, 48.090900, 50.366402, 51.592162, 218.015296], [56.273994, 57.778647, 61.163237, 62.277629, 246.308524]]
### 8
mean: [1.055690, -2.338654, -2.560755, 1.262337, 4.065140, -0.514545]
std: [1.528857, 3.002434, 3.183055, 1.805273, 4.401631, 0.447187]
pca: [[0.229686, 0.214788, -0.327142, 0.890812, -0.005168, -0.022689, 0.000000, 0.000000, 0.000000, 0.000000], [-0.451531, 0.137423, 0.228560, 0.183759, 0.666157, 0.497457, 0.000000, 0.000000, 0.000000, 0.000000], [-0.478590, 0.237942, 0.569813, 0.261001, -0.267712, -0.499857, 0.000000, 0.000000, 0.000000, 0.000000], [0.271108, 0.295645, 0.416794, 0.025247, -0.505118, 0.639997, 0.000000, 0.000000, 0.000000, 0.000000], [0.661992, 0.137613, 0.485603, -0.030030, 0.474491, -0.284563, 0.000000, 0.000000, 0.000000, 0.000000], [-0.050825, 0.878647, -0.326381, -0.320975, 0.065219, -0.107670, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.829061, 27.700596, 28.695348, 29.537616, 95.012107], [49.816961, 53.326574, 56.748519, 57.238237, 210.478814], [52.867482, 56.343228, 60.070558, 60.833776, 230.468028], [29.519917, 32.729031, 33.706039, 34.662898, 113.610375], [72.844561, 78.793950, 83.175462, 83.635871, 365.862596], [7.192620, 7.505635, 8.349675, 9.390956, 46.309017]]
### 10
mean: [-2.970005]
std: [3.560137]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[60.090336, 63.588978, 66.561415, 68.222275, 267.300391]]
## 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.
starts_with
|
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"sequence_length": 5, "num_layers": 5, "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": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.525596, -0.233623, 0.416124, -0.477341, 0.494893], [-0.150604, -0.226216, -0.549843, 0.022322, -0.023739], [-0.53574, 0.24829, -0.029575, 0.027126, 0.518353], [-0.235748, 0.010529, -0.541335, 0.173192, 0.216661], [0.908947, 0.679443, 0.790864, 0.142338, -0.169781], [-0.055147, -0.208105, -0.210489, -0.052515, -0.646284]], "network.0.bias": [-0.104697, -0.184931, 0.451071, -0.046568, 0.346212, -0.436054], "network.2.weight": [[-0.142998, -0.380465, -0.474093, -0.876612, 0.058435, -1.054738], [0.211636, 0.218941, 0.015645, -0.063807, -0.563627, 0.341951], [-0.936591, 0.696937, 0.297109, 0.370628, -0.565516, 0.35874], [-0.745615, -0.516221, -0.84774, -0.336749, 0.603571, -0.669654], [-0.645111, -0.161354, 0.15241, 0.057779, -0.017658, -0.057222], [0.314931, -0.209431, 0.116486, 0.229889, -0.580983, 0.236591]], "network.2.bias": [-0.088105, -0.242954, -0.051495, 0.555402, -0.209581, -0.426083], "network.4.weight": [[0.412482, 0.428159, -0.550197, 0.721734, -0.474578, 0.150626], [0.279649, 0.267153, -0.3995, 0.56137, 0.044421, 0.612067], [-0.935771, -0.233914, 0.511692, -0.313602, -0.815642, -0.846823], [0.24324, 0.522859, -0.433162, 0.973594, -0.545509, -0.008762], [0.049989, 0.014156, -0.300688, 0.808276, -0.457562, 0.464237], [-0.599402, -0.240151, 0.522367, -0.540166, 0.048799, -0.447022]], "network.4.bias": [0.323077, 0.062822, -0.022588, 0.004307, -0.139806, 0.590456], "network.6.weight": [[-0.092116, -0.391891, 0.510952, -0.373885, -0.063078, 0.153127], [0.297328, -0.232871, -0.391854, 0.031585, -0.555994, 0.536967], [0.342521, -0.41845, -0.127136, -0.525422, -0.606905, 0.253965], [0.663823, 0.78786, -0.516785, 0.606776, 0.658845, -0.615749], [0.597772, 0.043502, -0.332904, 0.079633, 0.671656, -0.803773], [-0.106365, -0.51706, -0.139172, -0.116523, -1.136397, 0.232586]], "network.6.bias": [0.339111, -0.221737, 0.165796, 0.194594, -0.151179, 0.401402], "network.8.weight": [[-0.194904, -0.354663, -0.083959, 0.098365, 0.36831, -0.595712], [0.356356, 0.170872, 0.421867, -0.29991, -0.554783, 0.127458], [0.562472, 0.143258, -0.023258, -0.227412, -0.760939, 0.211002], [-0.237481, -0.050943, -0.586506, 0.306993, 0.074549, -0.456137], [-0.624345, -0.2346, -0.503388, 0.697073, 0.309283, -0.666256], [-0.605149, -0.568678, -0.123327, 0.072921, -0.308487, -0.581322]], "network.8.bias": [-0.342981, 0.552193, 0.463893, -0.453831, -0.2132, -0.119431], "network.10.weight": [[-0.267357, 0.45212, 0.388328, -0.348422, -0.583038, -0.15638]], "network.10.bias": [0.121826]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6920623779296875, "train_acc": 0.475, "val_loss": 0.6919422745704651, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7030692994594574, "train_acc": 0.565, "val_loss": 0.6923159956932068, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6801503896713257, "train_acc": 0.565, "val_loss": 0.6809294819831848, "val_acc": 0.54}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6683188080787659, "train_acc": 0.565, "val_loss": 0.6485947966575623, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6495780348777771, "train_acc": 0.51, "val_loss": 0.5155997276306152, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5257510840892792, "train_acc": 0.78, "val_loss": 0.49671897292137146, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5652607083320618, "train_acc": 0.755, "val_loss": 0.5138146281242371, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.48861098289489746, "train_acc": 0.765, "val_loss": 0.4399419128894806, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.45869216322898865, "train_acc": 0.795, "val_loss": 0.4672108590602875, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.44920748472213745, "train_acc": 0.785, "val_loss": 0.469569593667984, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.4463735669851303, "train_acc": 0.82, "val_loss": 0.4482119381427765, "val_acc": 0.8}], "summary": {"total_epochs": 11, "degraded_epochs": 4, "improved_epochs": 7, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.6919422745704651, "final_val_loss": 0.6485947966575623, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.5155997276306152, "final_val_loss": 0.4482119381427765, "initial_val_acc": 0.78, "final_val_acc": 0.8, "best_val_acc": 0.8, "best_epoch": 7}, "improvement": 0.26, "first_improvement_epoch": 3}}
|
9,462
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.48, "improved_accuracy": 0.94, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5458, "learning_rate": 0.034275630077741315, "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: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.10.weight": [
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"network.12.weight": [
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"network.12.bias": [
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}
## Activation Signature
### 0
mean: [0.813523, 0.499777, 0.909560, 0.908408, 0.463879, -0.709075, -1.131889, 0.886164]
std: [1.021512, 1.912311, 1.273729, 1.477750, 1.206310, 1.054153, 1.040863, 1.159690]
pca: [[0.349262, -0.271778, 0.146766, -0.018523, 0.059537, 0.810429, 0.187234, -0.294743, 0.000000, 0.000000], [0.582561, 0.620700, -0.102219, 0.389888, -0.099905, 0.069032, 0.120903, 0.289014, 0.000000, 0.000000], [-0.029991, 0.376543, 0.672342, -0.188072, 0.309062, -0.200533, 0.401594, -0.269982, 0.000000, 0.000000], [0.445174, -0.451334, 0.119594, 0.442211, -0.048788, -0.489940, -0.000541, -0.381895, 0.000000, 0.000000], [0.385481, -0.232962, 0.291323, -0.265657, 0.458629, -0.055760, -0.394933, 0.521794, 0.000000, 0.000000], [-0.235932, 0.022484, -0.295807, 0.459475, 0.794834, 0.078523, 0.055833, -0.064549, 0.000000, 0.000000], [0.232245, -0.208092, -0.443439, -0.396849, 0.125017, -0.205265, 0.680996, 0.164664, 0.000000, 0.000000], [-0.285241, -0.311934, 0.364218, 0.421357, -0.175624, 0.082321, 0.407680, 0.554359, 0.000000, 0.000000]]
fourier: [[14.721809, 14.753071, 17.993794, 18.219764, 73.217034], [29.959885, 32.481645, 37.194092, 44.979890, 48.679492], [20.073009, 22.418931, 23.761977, 26.419697, 81.860408], [22.057525, 22.375910, 23.308241, 23.345722, 81.756704], [16.953274, 17.983665, 22.863956, 25.231559, 41.749074], [16.728188, 17.861414, 18.523173, 18.531866, 63.816713], [17.601420, 17.847572, 18.582911, 20.420593, 101.869978], [16.572454, 18.549883, 23.022239, 23.164276, 79.754724]]
### 2
mean: [-0.619829, 1.329862, -1.639755, 0.531206, -0.225548, 0.404679, 0.918658, 2.047227]
std: [0.407829, 1.465315, 0.976685, 0.895106, 0.539505, 0.772557, 1.446577, 1.812526]
pca: [[-0.074803, 0.213890, -0.130136, 0.463629, 0.412799, 0.360387, 0.391153, 0.513309, 0.000000, 0.000000], [0.498904, -0.210182, 0.284456, 0.086797, 0.201441, -0.210875, -0.506599, 0.526099, 0.000000, 0.000000], [-0.220797, 0.556739, 0.488592, 0.023009, 0.373120, -0.491206, 0.034583, -0.142620, 0.000000, 0.000000], [0.268630, 0.097052, 0.514233, -0.428448, 0.158302, 0.646840, 0.092340, -0.135750, 0.000000, 0.000000], [-0.108467, -0.305232, 0.274072, -0.354209, -0.228836, -0.299664, 0.600905, 0.437307, 0.000000, 0.000000], [-0.151057, -0.522733, -0.191181, -0.235670, 0.747212, -0.095244, 0.042774, -0.206432, 0.000000, 0.000000], [0.483471, -0.265572, 0.225722, 0.528333, -0.022985, -0.132749, 0.400605, -0.432442, 0.000000, 0.000000], [0.596874, 0.392112, -0.486184, -0.365071, 0.116274, -0.222431, 0.239235, 0.010428, 0.000000, 0.000000]]
fourier: [[6.389869, 6.864143, 7.691069, 8.515881, 55.784592], [26.244432, 28.730585, 29.118922, 30.462558, 119.687603], [16.470359, 17.013613, 17.796824, 21.617327, 147.577973], [13.791848, 14.376606, 14.593733, 15.669611, 47.808566], [8.804076, 8.836619, 9.180064, 10.075764, 20.299309], [11.814360, 12.612748, 12.915505, 14.756879, 36.421097], [25.406769, 28.431896, 28.710819, 29.599338, 82.679235], [27.537575, 31.089076, 36.038104, 37.443048, 184.250391]]
### 4
mean: [-0.982659, 2.308815, 1.366254, 2.026153, 1.708555, 1.671466, 1.096498, 0.979135]
std: [0.684321, 2.649807, 1.151085, 2.145278, 0.778764, 2.234580, 1.570550, 1.283396]
pca: [[-0.103496, 0.605734, -0.000755, 0.120235, -0.274913, 0.232031, -0.568152, -0.394596, 0.000000, 0.000000], [0.559194, -0.237204, -0.235724, -0.158415, -0.246093, -0.515649, -0.473112, -0.009168, 0.000000, 0.000000], [0.240524, 0.083780, -0.399133, -0.195288, 0.713679, 0.108253, 0.026329, -0.464689, 0.000000, 0.000000], [0.452574, 0.219870, -0.062540, -0.325664, -0.026686, 0.571605, -0.054954, 0.553535, 0.000000, 0.000000], [0.144532, -0.390520, -0.470740, 0.560253, -0.273598, 0.435128, 0.084367, -0.140768, 0.000000, 0.000000], [0.466995, -0.214156, 0.745830, 0.196242, 0.117981, 0.193991, -0.045039, -0.296139, 0.000000, 0.000000], [0.327027, 0.357370, -0.044061, -0.153649, -0.428842, -0.138058, 0.660439, -0.317248, 0.000000, 0.000000], [0.260756, 0.442015, -0.037624, 0.663515, 0.284834, -0.309497, 0.065795, 0.337214, 0.000000, 0.000000]]
fourier: [[10.906625, 10.988320, 11.653992, 17.614580, 88.439292], [38.690201, 55.684579, 55.934783, 56.887102, 207.793355], [18.368070, 22.818843, 23.222117, 24.373434, 122.962828], [33.388300, 41.060591, 44.148501, 44.933378, 182.353776], [12.013039, 15.187300, 16.084020, 18.997700, 153.769970], [35.738597, 44.832271, 46.875848, 47.151790, 150.431951], [24.829999, 27.191389, 31.513151, 32.488092, 98.684789], [19.947442, 20.950606, 25.492135, 25.607365, 88.122179]]
### 6
mean: [-0.309204, 0.790088, 5.263964, 0.318451, 4.462867, -0.762753, 3.027310, -1.157673]
std: [1.117509, 1.478261, 5.595582, 0.798055, 4.631923, 1.476087, 3.138757, 2.347352]
pca: [[-0.125537, 0.733013, 0.260409, 0.286482, -0.246767, -0.481621, -0.000872, 0.064761, 0.000000, 0.000000], [0.171006, 0.213419, -0.330884, 0.477118, -0.291554, 0.481076, 0.342487, -0.392872, 0.000000, 0.000000], [0.649821, -0.020832, 0.123069, 0.077464, -0.401388, 0.155549, -0.541835, 0.277955, 0.000000, 0.000000], [0.092371, 0.089762, -0.131700, 0.581648, 0.719550, 0.047812, -0.249157, 0.213620, 0.000000, 0.000000], [0.537548, -0.001373, 0.575426, -0.044682, 0.272651, -0.002606, 0.550072, -0.031667, 0.000000, 0.000000], [-0.170636, 0.377585, -0.033408, -0.257771, 0.019274, 0.526482, 0.212741, 0.661768, 0.000000, 0.000000], [0.363641, 0.482560, -0.398277, -0.521631, 0.289336, -0.075360, -0.141389, -0.307882, 0.000000, 0.000000], [-0.271822, 0.182253, 0.547134, -0.073686, 0.129662, 0.476715, -0.399009, -0.429923, 0.000000, 0.000000]]
fourier: [[16.355698, 21.110187, 23.426502, 24.165570, 27.828340], [23.046071, 29.670059, 30.784211, 30.965277, 71.107956], [83.511341, 117.141682, 117.587857, 119.904876, 473.756698], [12.056450, 16.362624, 16.510931, 16.623992, 28.660585], [68.569654, 97.008757, 97.615582, 100.788266, 401.658068], [21.404933, 30.169847, 31.220167, 32.598903, 68.647814], [48.255403, 64.291811, 65.021283, 65.470244, 272.457907], [35.941914, 47.882303, 48.626084, 49.304518, 104.190585]]
### 8
mean: [4.225728, -1.086950, 6.477468, 4.324775, -2.245136, 4.320489, 4.139402, 5.143189]
std: [5.059969, 2.042758, 7.453160, 5.111237, 2.871508, 4.924476, 4.931728, 5.722571]
pca: [[0.356918, -0.000718, 0.645801, 0.071291, 0.007095, 0.626563, 0.229930, -0.070485, 0.000000, 0.000000], [-0.143946, -0.248907, -0.163708, 0.731866, 0.156410, 0.203348, 0.060378, 0.534263, 0.000000, 0.000000], [0.525760, 0.212284, -0.584813, -0.131863, 0.281447, 0.414137, -0.259644, 0.031313, 0.000000, 0.000000], [0.360496, 0.423872, 0.276298, 0.168040, -0.359552, -0.295584, -0.442071, 0.416801, 0.000000, 0.000000], [-0.202269, 0.625272, 0.112708, -0.152037, 0.524900, -0.093627, 0.383022, 0.318296, 0.000000, 0.000000], [0.347323, -0.410364, 0.274477, -0.004801, 0.649038, -0.413980, -0.206692, -0.016010, 0.000000, 0.000000], [0.347859, -0.331907, -0.137548, -0.392793, -0.255171, -0.138151, 0.506276, 0.505087, 0.000000, 0.000000], [0.403679, 0.209253, -0.175594, 0.486046, -0.071506, -0.328568, 0.484668, -0.422149, 0.000000, 0.000000]]
fourier: [[75.775515, 106.064437, 107.102715, 107.745101, 380.315426], [30.435856, 42.700620, 43.321761, 43.779425, 97.825537], [112.080117, 155.992164, 156.068035, 157.508751, 582.972159], [76.337716, 107.425696, 107.543305, 108.511505, 389.229750], [43.685688, 59.662501, 59.668322, 61.057938, 202.062214], [74.487323, 102.800629, 103.694335, 104.723203, 388.844022], [74.458063, 102.840144, 103.848063, 104.406966, 372.546204], [85.857317, 119.869190, 120.089527, 120.823035, 462.887056]]
### 10
mean: [-0.800626, -4.969800, 8.346930, 9.537214, -5.638594, 9.613062, 8.489753, 9.621961]
std: [1.417773, 6.271977, 9.772274, 11.170502, 6.972973, 10.774115, 9.561866, 11.183578]
pca: [[-0.055852, 0.419266, -0.284228, -0.061539, 0.462983, -0.028021, 0.649890, 0.314687, 0.000000, 0.000000], [-0.247366, 0.283095, 0.321347, 0.724436, -0.320917, -0.012667, 0.314826, -0.168322, 0.000000, 0.000000], [0.385440, -0.016769, -0.229585, 0.464362, -0.019122, 0.498916, -0.233195, 0.528348, 0.000000, 0.000000], [0.440592, -0.059831, 0.095094, -0.215847, -0.140815, 0.576846, 0.439738, -0.448014, 0.000000, 0.000000], [-0.275019, -0.223450, 0.488118, 0.122038, 0.693158, 0.355601, -0.104601, -0.058487, 0.000000, 0.000000], [0.424954, -0.115065, -0.309224, 0.416195, 0.411232, -0.360656, -0.059022, -0.484425, 0.000000, 0.000000], [0.377116, 0.734753, 0.398630, -0.144975, 0.111152, -0.068328, -0.346015, -0.035333, 0.000000, 0.000000], [0.441098, -0.370380, 0.511286, 0.007373, -0.023019, -0.395212, 0.310849, 0.391707, 0.000000, 0.000000]]
fourier: [[21.817400, 29.182719, 29.575787, 30.246534, 72.056348], [94.061700, 130.889636, 133.019264, 133.662963, 447.281955], [146.482608, 203.491267, 206.590645, 208.628555, 751.223686], [167.741030, 232.672760, 236.156504, 238.238113, 858.349171], [104.346126, 145.141214, 147.570449, 149.713254, 507.473475], [161.546312, 224.527857, 227.955074, 229.957904, 865.175572], [143.357110, 198.774681, 201.414601, 205.128833, 764.077761], [168.528290, 233.046775, 236.636103, 237.575607, 865.976381]]
### 12
mean: [-15.502573]
std: [17.853910]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[267.880579, 370.573450, 377.300056, 382.587785, 1395.231697]]
## 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: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [0.813523, 0.499777, 0.909560, 0.908408, 0.463879, -0.709075, -1.131889, 0.886164]
std: [1.021512, 1.912311, 1.273729, 1.477750, 1.206310, 1.054153, 1.040863, 1.159690]
pca: [[0.349262, -0.271778, 0.146766, -0.018523, 0.059537, 0.810429, 0.187234, -0.294743, 0.000000, 0.000000], [0.582561, 0.620700, -0.102219, 0.389888, -0.099905, 0.069032, 0.120903, 0.289014, 0.000000, 0.000000], [-0.029991, 0.376543, 0.672342, -0.188072, 0.309062, -0.200533, 0.401594, -0.269982, 0.000000, 0.000000], [0.445174, -0.451334, 0.119594, 0.442211, -0.048788, -0.489940, -0.000541, -0.381895, 0.000000, 0.000000], [0.385481, -0.232962, 0.291323, -0.265657, 0.458629, -0.055760, -0.394933, 0.521794, 0.000000, 0.000000], [-0.235932, 0.022484, -0.295807, 0.459475, 0.794834, 0.078523, 0.055833, -0.064549, 0.000000, 0.000000], [0.232245, -0.208092, -0.443439, -0.396849, 0.125017, -0.205265, 0.680996, 0.164664, 0.000000, 0.000000], [-0.285241, -0.311934, 0.364218, 0.421357, -0.175624, 0.082321, 0.407680, 0.554359, 0.000000, 0.000000]]
fourier: [[14.721809, 14.753071, 17.993794, 18.219764, 73.217034], [29.959885, 32.481645, 37.194092, 44.979890, 48.679492], [20.073009, 22.418931, 23.761977, 26.419697, 81.860408], [22.057525, 22.375910, 23.308241, 23.345722, 81.756704], [16.953274, 17.983665, 22.863956, 25.231559, 41.749074], [16.728188, 17.861414, 18.523173, 18.531866, 63.816713], [17.601420, 17.847572, 18.582911, 20.420593, 101.869978], [16.572454, 18.549883, 23.022239, 23.164276, 79.754724]]
### 2
mean: [-0.619829, 1.329862, -1.639755, 0.531206, -0.225548, 0.404679, 0.918658, 2.047227]
std: [0.407829, 1.465315, 0.976685, 0.895106, 0.539505, 0.772557, 1.446577, 1.812526]
pca: [[-0.074803, 0.213890, -0.130136, 0.463629, 0.412799, 0.360387, 0.391153, 0.513309, 0.000000, 0.000000], [0.498904, -0.210182, 0.284456, 0.086797, 0.201441, -0.210875, -0.506599, 0.526099, 0.000000, 0.000000], [-0.220797, 0.556739, 0.488592, 0.023009, 0.373120, -0.491206, 0.034583, -0.142620, 0.000000, 0.000000], [0.268630, 0.097052, 0.514233, -0.428448, 0.158302, 0.646840, 0.092340, -0.135750, 0.000000, 0.000000], [-0.108467, -0.305232, 0.274072, -0.354209, -0.228836, -0.299664, 0.600905, 0.437307, 0.000000, 0.000000], [-0.151057, -0.522733, -0.191181, -0.235670, 0.747212, -0.095244, 0.042774, -0.206432, 0.000000, 0.000000], [0.483471, -0.265572, 0.225722, 0.528333, -0.022985, -0.132749, 0.400605, -0.432442, 0.000000, 0.000000], [0.596874, 0.392112, -0.486184, -0.365071, 0.116274, -0.222431, 0.239235, 0.010428, 0.000000, 0.000000]]
fourier: [[6.389869, 6.864143, 7.691069, 8.515881, 55.784592], [26.244432, 28.730585, 29.118922, 30.462558, 119.687603], [16.470359, 17.013613, 17.796824, 21.617327, 147.577973], [13.791848, 14.376606, 14.593733, 15.669611, 47.808566], [8.804076, 8.836619, 9.180064, 10.075764, 20.299309], [11.814360, 12.612748, 12.915505, 14.756879, 36.421097], [25.406769, 28.431896, 28.710819, 29.599338, 82.679235], [27.537575, 31.089076, 36.038104, 37.443048, 184.250391]]
### 4
mean: [-0.982659, 2.308815, 1.366254, 2.026153, 1.708555, 1.671466, 1.096498, 0.979135]
std: [0.684321, 2.649807, 1.151085, 2.145278, 0.778764, 2.234580, 1.570550, 1.283396]
pca: [[-0.103496, 0.605734, -0.000755, 0.120235, -0.274913, 0.232031, -0.568152, -0.394596, 0.000000, 0.000000], [0.559194, -0.237204, -0.235724, -0.158415, -0.246093, -0.515649, -0.473112, -0.009168, 0.000000, 0.000000], [0.240524, 0.083780, -0.399133, -0.195288, 0.713679, 0.108253, 0.026329, -0.464689, 0.000000, 0.000000], [0.452574, 0.219870, -0.062540, -0.325664, -0.026686, 0.571605, -0.054954, 0.553535, 0.000000, 0.000000], [0.144532, -0.390520, -0.470740, 0.560253, -0.273598, 0.435128, 0.084367, -0.140768, 0.000000, 0.000000], [0.466995, -0.214156, 0.745830, 0.196242, 0.117981, 0.193991, -0.045039, -0.296139, 0.000000, 0.000000], [0.327027, 0.357370, -0.044061, -0.153649, -0.428842, -0.138058, 0.660439, -0.317248, 0.000000, 0.000000], [0.260756, 0.442015, -0.037624, 0.663515, 0.284834, -0.309497, 0.065795, 0.337214, 0.000000, 0.000000]]
fourier: [[10.906625, 10.988320, 11.653992, 17.614580, 88.439292], [38.690201, 55.684579, 55.934783, 56.887102, 207.793355], [18.368070, 22.818843, 23.222117, 24.373434, 122.962828], [33.388300, 41.060591, 44.148501, 44.933378, 182.353776], [12.013039, 15.187300, 16.084020, 18.997700, 153.769970], [35.738597, 44.832271, 46.875848, 47.151790, 150.431951], [24.829999, 27.191389, 31.513151, 32.488092, 98.684789], [19.947442, 20.950606, 25.492135, 25.607365, 88.122179]]
### 6
mean: [-0.309204, 0.790088, 5.263964, 0.318451, 4.462867, -0.762753, 3.027310, -1.157673]
std: [1.117509, 1.478261, 5.595582, 0.798055, 4.631923, 1.476087, 3.138757, 2.347352]
pca: [[-0.125537, 0.733013, 0.260409, 0.286482, -0.246767, -0.481621, -0.000872, 0.064761, 0.000000, 0.000000], [0.171006, 0.213419, -0.330884, 0.477118, -0.291554, 0.481076, 0.342487, -0.392872, 0.000000, 0.000000], [0.649821, -0.020832, 0.123069, 0.077464, -0.401388, 0.155549, -0.541835, 0.277955, 0.000000, 0.000000], [0.092371, 0.089762, -0.131700, 0.581648, 0.719550, 0.047812, -0.249157, 0.213620, 0.000000, 0.000000], [0.537548, -0.001373, 0.575426, -0.044682, 0.272651, -0.002606, 0.550072, -0.031667, 0.000000, 0.000000], [-0.170636, 0.377585, -0.033408, -0.257771, 0.019274, 0.526482, 0.212741, 0.661768, 0.000000, 0.000000], [0.363641, 0.482560, -0.398277, -0.521631, 0.289336, -0.075360, -0.141389, -0.307882, 0.000000, 0.000000], [-0.271822, 0.182253, 0.547134, -0.073686, 0.129662, 0.476715, -0.399009, -0.429923, 0.000000, 0.000000]]
fourier: [[16.355698, 21.110187, 23.426502, 24.165570, 27.828340], [23.046071, 29.670059, 30.784211, 30.965277, 71.107956], [83.511341, 117.141682, 117.587857, 119.904876, 473.756698], [12.056450, 16.362624, 16.510931, 16.623992, 28.660585], [68.569654, 97.008757, 97.615582, 100.788266, 401.658068], [21.404933, 30.169847, 31.220167, 32.598903, 68.647814], [48.255403, 64.291811, 65.021283, 65.470244, 272.457907], [35.941914, 47.882303, 48.626084, 49.304518, 104.190585]]
### 8
mean: [4.225728, -1.086950, 6.477468, 4.324775, -2.245136, 4.320489, 4.139402, 5.143189]
std: [5.059969, 2.042758, 7.453160, 5.111237, 2.871508, 4.924476, 4.931728, 5.722571]
pca: [[0.356918, -0.000718, 0.645801, 0.071291, 0.007095, 0.626563, 0.229930, -0.070485, 0.000000, 0.000000], [-0.143946, -0.248907, -0.163708, 0.731866, 0.156410, 0.203348, 0.060378, 0.534263, 0.000000, 0.000000], [0.525760, 0.212284, -0.584813, -0.131863, 0.281447, 0.414137, -0.259644, 0.031313, 0.000000, 0.000000], [0.360496, 0.423872, 0.276298, 0.168040, -0.359552, -0.295584, -0.442071, 0.416801, 0.000000, 0.000000], [-0.202269, 0.625272, 0.112708, -0.152037, 0.524900, -0.093627, 0.383022, 0.318296, 0.000000, 0.000000], [0.347323, -0.410364, 0.274477, -0.004801, 0.649038, -0.413980, -0.206692, -0.016010, 0.000000, 0.000000], [0.347859, -0.331907, -0.137548, -0.392793, -0.255171, -0.138151, 0.506276, 0.505087, 0.000000, 0.000000], [0.403679, 0.209253, -0.175594, 0.486046, -0.071506, -0.328568, 0.484668, -0.422149, 0.000000, 0.000000]]
fourier: [[75.775515, 106.064437, 107.102715, 107.745101, 380.315426], [30.435856, 42.700620, 43.321761, 43.779425, 97.825537], [112.080117, 155.992164, 156.068035, 157.508751, 582.972159], [76.337716, 107.425696, 107.543305, 108.511505, 389.229750], [43.685688, 59.662501, 59.668322, 61.057938, 202.062214], [74.487323, 102.800629, 103.694335, 104.723203, 388.844022], [74.458063, 102.840144, 103.848063, 104.406966, 372.546204], [85.857317, 119.869190, 120.089527, 120.823035, 462.887056]]
### 10
mean: [-0.800626, -4.969800, 8.346930, 9.537214, -5.638594, 9.613062, 8.489753, 9.621961]
std: [1.417773, 6.271977, 9.772274, 11.170502, 6.972973, 10.774115, 9.561866, 11.183578]
pca: [[-0.055852, 0.419266, -0.284228, -0.061539, 0.462983, -0.028021, 0.649890, 0.314687, 0.000000, 0.000000], [-0.247366, 0.283095, 0.321347, 0.724436, -0.320917, -0.012667, 0.314826, -0.168322, 0.000000, 0.000000], [0.385440, -0.016769, -0.229585, 0.464362, -0.019122, 0.498916, -0.233195, 0.528348, 0.000000, 0.000000], [0.440592, -0.059831, 0.095094, -0.215847, -0.140815, 0.576846, 0.439738, -0.448014, 0.000000, 0.000000], [-0.275019, -0.223450, 0.488118, 0.122038, 0.693158, 0.355601, -0.104601, -0.058487, 0.000000, 0.000000], [0.424954, -0.115065, -0.309224, 0.416195, 0.411232, -0.360656, -0.059022, -0.484425, 0.000000, 0.000000], [0.377116, 0.734753, 0.398630, -0.144975, 0.111152, -0.068328, -0.346015, -0.035333, 0.000000, 0.000000], [0.441098, -0.370380, 0.511286, 0.007373, -0.023019, -0.395212, 0.310849, 0.391707, 0.000000, 0.000000]]
fourier: [[21.817400, 29.182719, 29.575787, 30.246534, 72.056348], [94.061700, 130.889636, 133.019264, 133.662963, 447.281955], [146.482608, 203.491267, 206.590645, 208.628555, 751.223686], [167.741030, 232.672760, 236.156504, 238.238113, 858.349171], [104.346126, 145.141214, 147.570449, 149.713254, 507.473475], [161.546312, 224.527857, 227.955074, 229.957904, 865.175572], [143.357110, 198.774681, 201.414601, 205.128833, 764.077761], [168.528290, 233.046775, 236.636103, 237.575607, 865.976381]]
### 12
mean: [-15.502573]
std: [17.853910]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[267.880579, 370.573450, 377.300056, 382.587785, 1395.231697]]
## 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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{"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": [[-0.287313, -0.180672, 0.221719, 0.366419, 0.056553], [-0.198908, -0.566799, 0.550489, -0.245001, 0.541689], [0.252572, -0.003537, 0.539708, -0.052706, -0.189624], [-0.261355, -0.312303, 0.09194, 0.588378, 0.249161], [-0.288751, -0.26512, 0.421307, 0.411863, -0.148999], [0.423018, -0.316779, -0.353505, 0.012822, -0.179009], [-0.444747, -0.112527, -0.043263, 0.027864, -0.047822], [0.347051, 0.228658, -0.267796, 0.307759, -0.039437]], "network.0.bias": [0.18163, 0.487537, -0.178802, 0.041641, -0.273192, 0.273457, -0.283776, -0.014324], "network.2.weight": [[-0.082059, -0.346778, 0.053467, 0.144607, 0.010496, 0.300872, 0.26819, -0.25153], [0.23978, 0.607326, 0.110606, 0.216311, 0.358823, -0.243275, -0.63466, -0.376832], [-0.017705, -0.357203, -0.415769, 0.148748, -0.534912, -0.00318, 0.411503, -0.191824], [0.362276, 0.529112, -0.329278, 0.040612, -0.02059, 0.065273, -0.628457, -0.058113], [0.281148, 0.169473, -0.03475, -0.407422, -0.370299, -0.199901, 0.353939, 0.223295], [0.063731, -0.06712, 0.500594, -0.104976, -0.45552, 0.361038, 0.53441, 0.03544], [0.316788, 0.487217, 0.184851, 0.052701, 0.480164, -0.315705, -0.729316, -0.472442], [0.5743, 0.425724, 0.060427, 0.65382, 0.420926, 0.082403, -0.35163, -0.142432]], "network.2.bias": [-0.199041, 0.316371, -0.498071, 0.020685, -0.082842, 0.333997, 0.049948, 0.285118], "network.4.weight": [[0.13837, -0.410174, 0.110109, -0.031772, 0.018072, -0.516749, -0.159178, 0.071754], [-0.105424, 0.59032, 0.398197, 0.494239, -0.156161, -0.02825, 0.425128, 0.568725], [-0.179902, 0.116941, -0.194159, 0.250144, -0.578667, 0.096297, 0.105208, 0.404258], [-0.258658, 0.057929, -0.139549, 0.632588, -0.248757, -0.426972, 0.492766, 0.537723], [-0.507649, 0.350165, -0.165144, -0.258268, -0.074777, 0.508897, 0.122106, 0.21865], [0.119822, 0.684934, -0.308166, 0.472243, 0.028524, -0.561441, 0.560429, 0.080703], [-0.260355, 0.059138, -0.035137, 0.404257, -0.022663, -0.526385, 0.232482, 0.446166], [-0.038752, 0.406156, -0.185396, -0.026132, -0.411767, -0.551373, -0.080124, 0.353534]], "network.4.bias": [-0.158331, -0.27533, 0.073916, 0.160487, 0.52929, 0.00133, -0.147716, 0.037086], "network.6.weight": [[-0.348921, -0.244894, 0.360152, -0.168123, 0.520845, -0.472015, -0.152325, 0.25001], [0.461266, 0.157682, -0.156982, 0.244162, -0.094263, 0.034434, 0.211676, 0.39598], [0.366966, 0.629375, 0.044558, 0.585117, 0.114159, 0.588894, 0.550935, 0.577512], [-0.05912, 0.438104, -0.277077, -0.210781, -0.179566, -0.029363, 0.06105, 0.486207], [0.145828, 0.554952, 0.482004, 0.102451, 0.317134, 0.578969, 0.192568, 0.655409], [-0.342912, -0.266621, 0.169654, 0.088102, 0.163209, -0.390564, -0.250062, -0.116069], [-0.313002, 0.385297, 0.390083, 0.456824, -0.164336, 0.019876, 0.38018, 0.265619], [-0.55131, -0.282939, 0.04831, -0.186917, 0.490704, -0.39047, -0.503889, -0.119671]], "network.6.bias": [0.027419, -0.392091, 0.0858, -0.15684, -0.10235, 0.271137, 0.147001, 0.387137], "network.8.weight": [[0.121928, 0.131718, 0.396654, 0.100263, 0.505754, -0.146197, 0.038995, -0.424917], [0.316989, -0.298663, -0.264649, -0.245098, -0.183424, 0.053086, 0.322406, 0.289255], [-0.313738, 0.421834, 0.577404, -0.08886, 0.393066, -0.323705, 0.507783, -0.585003], [-0.097846, 0.075425, 0.275747, -0.016313, 0.629326, -0.229101, 0.105375, -0.525546], [-0.169985, -0.162045, 0.006739, -0.341195, -0.200738, 0.042636, -0.491354, 0.073004], [0.37214, 0.291115, 0.497067, 0.337714, 0.19061, -0.466492, 0.180638, -0.313926], [-0.137127, 0.25711, 0.34217, 0.561577, 0.249275, -0.1921, 0.321411, -0.266631], [0.005947, 0.034952, 0.291288, -0.032059, 0.501602, -0.498009, 0.490033, -0.378425]], "network.8.bias": [-0.246687, 0.361543, 0.094656, -0.087176, 0.359272, 0.018852, -0.042216, 0.071152], "network.10.weight": [[0.004443, 0.318709, -0.163669, 0.136116, 0.142104, -0.143535, -0.144338, 0.099255], [-0.370512, 0.368285, 0.094625, -0.462473, 0.433877, -0.184847, -0.045481, -0.281402], [0.41253, -0.494989, 0.558346, 0.227397, 0.029419, 0.016481, 0.054295, 0.366217], [0.36275, -0.586129, 0.066845, 0.372785, -0.380693, 0.254575, 0.528408, 0.543498], [-0.693165, 0.418843, -0.283439, -0.479574, 0.357936, 0.205031, -0.332111, 0.290158], [0.223889, -0.344846, 0.622562, 0.50905, -0.323138, -0.040602, 0.038167, 0.44286], [0.410558, -0.193615, 0.025115, -0.026592, -0.056241, 0.524013, 0.295003, 0.609812], [0.01935, -0.56013, 0.332997, 0.208392, -0.543849, 0.516997, 0.392376, 0.536738]], "network.10.bias": [0.298874, 0.426481, -0.260327, -0.162942, 0.268533, 0.047385, -0.002145, -0.152677], "network.12.weight": [[0.368692, 0.289775, -0.440306, -0.362745, 0.301828, -0.347702, -0.241802, -0.314325]], "network.12.bias": [0.147965]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6952774226665497, "train_acc": 0.465, "val_loss": 0.6901261806488037, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6553784906864166, "train_acc": 0.585, "val_loss": 0.6463596820831299, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6042836904525757, "train_acc": 0.505, "val_loss": 0.5032893419265747, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.44949573278427124, "train_acc": 0.63, "val_loss": 0.4133983254432678, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.37351924180984497, "train_acc": 0.87, "val_loss": 0.32082682847976685, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.2998053580522537, "train_acc": 0.9, "val_loss": 0.2407531589269638, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.2802368476986885, "train_acc": 0.91, "val_loss": 0.19830642640590668, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.23139170557260513, "train_acc": 0.915, "val_loss": 0.19737005233764648, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.24239932000637054, "train_acc": 0.92, "val_loss": 0.19784992933273315, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.2233167067170143, "train_acc": 0.925, "val_loss": 0.2418012171983719, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.20471816509962082, "train_acc": 0.935, "val_loss": 0.19605813920497894, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.17714372277259827, "train_acc": 0.945, "val_loss": 0.1922486424446106, "val_acc": 0.94}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6901261806488037, "final_val_loss": 0.6463596820831299, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5032893419265747, "final_val_loss": 0.1922486424446106, "initial_val_acc": 0.48, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 5}, "improvement": 0.45999999999999996, "first_improvement_epoch": 1}}
|
9,463
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.54, "improved_accuracy": 0.98, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7218, "learning_rate": 0.03629727007788484, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "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: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.6.weight": [
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"network.8.bias": [
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"network.10.weight": [
[
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"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [1.532727, 1.848951, 0.952091, -0.965626, 0.102510, 1.020845, 1.391403, 0.401618]
std: [1.950614, 1.895733, 1.076122, 1.030852, 1.142104, 1.144859, 1.512002, 1.381485]
pca: [[0.557483, 0.208803, -0.274891, 0.118484, 0.609399, -0.409258, -0.006255, -0.130815, 0.000000, 0.000000], [0.559086, -0.143574, -0.015537, 0.192341, -0.437341, 0.226066, 0.470858, -0.406809, 0.000000, 0.000000], [0.015220, -0.447162, 0.592867, -0.197203, 0.462147, -0.003568, 0.436995, 0.069833, 0.000000, 0.000000], [-0.233652, 0.185912, -0.392814, 0.319698, 0.268474, 0.414012, 0.539791, 0.345652, 0.000000, 0.000000], [0.153812, 0.351922, 0.521622, 0.528563, -0.207822, -0.257676, 0.033565, 0.436246, 0.000000, 0.000000], [0.277007, -0.114691, -0.272297, -0.502537, -0.290456, -0.275081, 0.222872, 0.611325, 0.000000, 0.000000], [0.428139, -0.327535, 0.009128, 0.141924, 0.135853, 0.547019, -0.494545, 0.356274, 0.000000, 0.000000], [0.195235, 0.676009, 0.268479, -0.505773, 0.075484, 0.410715, 0.023270, -0.045630, 0.000000, 0.000000]]
fourier: [[32.948452, 35.924398, 40.173545, 45.086041, 137.945471], [29.552940, 30.824166, 38.530123, 39.492418, 166.405606], [14.516268, 16.574408, 16.775142, 19.486685, 85.688167], [14.991126, 15.096137, 16.148443, 19.907224, 86.906357], [16.185115, 19.936707, 20.192362, 20.903557, 22.975894], [17.959570, 19.431997, 20.965651, 21.620070, 91.876078], [21.273974, 26.828695, 29.517105, 30.425512, 125.226288], [21.912415, 22.422694, 23.329435, 23.510513, 36.145575]]
### 2
mean: [-1.778379, 2.699547, -0.979409, 3.129878, -0.910196, -1.555278, -0.632591, 2.347880]
std: [1.490183, 2.728708, 0.936544, 2.486551, 1.338273, 0.982726, 0.499159, 2.298369]
pca: [[-0.299782, 0.187483, -0.022165, 0.700352, 0.461922, 0.225051, -0.305664, 0.162933, 0.000000, 0.000000], [0.557495, -0.093698, -0.043737, 0.157017, -0.398887, 0.332569, -0.314589, 0.534017, 0.000000, 0.000000], [-0.173360, 0.348387, 0.674679, 0.214546, -0.476742, -0.321332, -0.129657, 0.001914, 0.000000, 0.000000], [0.499402, 0.467435, -0.278993, 0.405554, -0.091934, -0.078458, 0.334092, -0.404433, 0.000000, 0.000000], [-0.247892, 0.585758, -0.044923, -0.269033, -0.039495, 0.379448, 0.437592, 0.428966, 0.000000, 0.000000], [-0.188277, -0.330713, -0.243019, 0.366881, -0.175188, -0.452775, 0.478465, 0.443729, 0.000000, 0.000000], [-0.057123, -0.404493, 0.379373, 0.253532, -0.138982, 0.584476, 0.441758, -0.262379, 0.000000, 0.000000], [0.468735, -0.010172, 0.509477, -0.055590, 0.583281, -0.196830, 0.252210, 0.273785, 0.000000, 0.000000]]
fourier: [[26.255671, 27.158893, 29.540865, 34.369209, 160.054126], [48.471413, 51.100784, 51.794850, 59.446504, 242.959188], [14.285385, 16.265601, 18.362727, 21.058454, 88.146826], [38.909124, 46.702591, 49.474958, 49.843194, 281.689030], [22.456319, 24.579154, 25.697712, 30.361293, 81.917640], [13.271565, 17.585779, 18.524499, 20.720367, 139.975025], [7.428743, 7.811224, 8.580186, 8.683841, 56.933218], [38.447278, 42.067566, 45.186358, 51.638151, 211.309188]]
### 4
mean: [-0.757595, 1.107642, -1.156766, -0.671465, -0.757207, 3.421242, 2.122303, -1.110024]
std: [0.554305, 0.689778, 1.494731, 0.462267, 0.926881, 3.609411, 2.291009, 1.236854]
pca: [[-0.112053, -0.233787, -0.563723, 0.101731, -0.503379, -0.353832, 0.248419, 0.405409, 0.000000, 0.000000], [0.138905, -0.382106, -0.062154, 0.452689, 0.123041, 0.604074, -0.230284, 0.439130, 0.000000, 0.000000], [-0.304565, 0.502181, 0.359310, 0.227203, -0.031479, -0.261534, -0.297108, 0.562730, 0.000000, 0.000000], [-0.089712, -0.406235, 0.705989, 0.070911, -0.228902, -0.031367, 0.513756, 0.078424, 0.000000, 0.000000], [-0.190056, -0.024071, -0.160587, -0.120177, 0.768035, -0.102800, 0.472941, 0.314563, 0.000000, 0.000000], [0.740030, 0.267029, 0.080157, -0.395047, -0.115281, 0.100212, 0.177750, 0.404521, 0.000000, 0.000000], [0.469632, 0.159988, -0.012176, 0.723620, 0.149158, -0.344989, 0.203931, -0.217306, 0.000000, 0.000000], [-0.251042, 0.533523, -0.135894, 0.184236, -0.229496, 0.548531, 0.485986, -0.100917, 0.000000, 0.000000]]
fourier: [[8.607292, 9.950242, 11.022388, 11.465215, 68.183522], [12.220726, 12.342000, 12.753022, 16.451739, 99.687824], [26.857638, 27.171324, 27.911620, 34.225450, 104.108934], [7.141390, 8.595811, 8.849978, 9.389982, 60.431873], [15.748096, 16.987201, 18.121352, 20.502086, 68.148608], [61.611482, 66.670721, 70.224091, 78.740291, 307.911774], [38.688901, 42.386840, 44.878003, 50.521811, 191.007216], [22.121962, 22.125673, 22.915029, 28.731907, 99.902140]]
### 6
mean: [-1.115686, 2.127600, 0.213160, 1.642361, 0.524722, 1.694848, 2.946758, -0.719548]
std: [0.694600, 2.402293, 0.487954, 1.833883, 0.371683, 1.753086, 3.394447, 0.433947]
pca: [[-0.138809, -0.443328, 0.120570, 0.584608, 0.538766, -0.230872, 0.133235, 0.258005, 0.000000, 0.000000], [0.482901, -0.078365, -0.077317, -0.247163, -0.063598, 0.000584, 0.049878, 0.828894, 0.000000, 0.000000], [-0.096688, 0.490400, -0.371188, 0.112062, 0.490928, 0.570891, 0.125207, 0.131214, 0.000000, 0.000000], [0.368576, 0.033348, 0.745530, -0.177113, 0.382688, 0.291241, -0.140962, -0.157205, 0.000000, 0.000000], [-0.071835, 0.618951, 0.352203, 0.090576, -0.059036, -0.426237, 0.528104, 0.124220, 0.000000, 0.000000], [0.352369, 0.084148, -0.370165, -0.314305, 0.502511, -0.544174, -0.066465, -0.282639, 0.000000, 0.000000], [0.682344, -0.012899, -0.152712, 0.525096, -0.239412, 0.137373, 0.272340, -0.291266, 0.000000, 0.000000], [-0.086169, -0.406653, -0.038715, -0.412917, 0.070034, 0.198205, 0.765985, -0.155840, 0.000000, 0.000000]]
fourier: [[11.772683, 12.915228, 13.835082, 15.434356, 100.411746], [41.476647, 44.254736, 46.386507, 52.653365, 191.484014], [8.345919, 8.757894, 8.948578, 10.069639, 19.184371], [31.266473, 34.012693, 35.632224, 40.059501, 147.812531], [6.252224, 6.289866, 6.628614, 7.393365, 47.224993], [30.390175, 32.305943, 33.893731, 38.552526, 152.536340], [58.465184, 62.531899, 65.583452, 74.732733, 265.208235], [7.115741, 8.078930, 8.667620, 9.860529, 64.759300]]
### 8
mean: [3.404248, 0.660811, 1.084655, 0.625625, -2.197387, -1.403194, 4.675065, -0.932498]
std: [4.015512, 0.699378, 0.129812, 0.429499, 2.151035, 1.132874, 5.615515, 0.585941]
pca: [[0.543642, 0.095443, 0.031242, 0.568061, 0.254775, 0.294856, 0.468773, 0.008684, 0.000000, 0.000000], [-0.093101, 0.599213, -0.185322, -0.072112, 0.616530, -0.342921, -0.039342, 0.305745, 0.000000, 0.000000], [-0.006193, 0.567566, 0.447224, -0.449254, -0.181092, 0.424248, 0.239231, -0.077327, 0.000000, 0.000000], [-0.057511, 0.284547, -0.586408, 0.155303, -0.492639, 0.317252, -0.080399, 0.444888, 0.000000, 0.000000], [-0.291086, -0.309363, 0.139791, -0.126543, -0.044519, -0.157383, 0.657215, 0.570374, 0.000000, 0.000000], [-0.153078, -0.330367, -0.202357, -0.272989, 0.523618, 0.673494, -0.120933, 0.097772, 0.000000, 0.000000], [0.760256, -0.154405, -0.010385, -0.472414, -0.055302, -0.136061, -0.167991, 0.353688, 0.000000, 0.000000], [-0.079284, -0.006852, 0.600165, 0.363932, 0.016669, 0.133991, -0.490134, 0.492503, 0.000000, 0.000000]]
fourier: [[69.563586, 73.981636, 78.533455, 87.381146, 306.382313], [12.258593, 12.490452, 13.242586, 15.081464, 59.472979], [1.898470, 1.993330, 2.199853, 2.381911, 97.618932], [7.591815, 7.810745, 8.115515, 9.144907, 56.306291], [36.659817, 39.714620, 42.535780, 46.786684, 197.764831], [19.027645, 20.860979, 22.708380, 24.576273, 126.287417], [97.754046, 103.433574, 109.219916, 122.235589, 420.755766], [9.947011, 10.975659, 11.362841, 12.832328, 83.924825]]
### 10
mean: [-2.183548]
std: [4.316535]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[77.514349, 79.721844, 83.520221, 93.212160, 196.519295]]
## 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.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.14725,
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0.032353
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[
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[
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[
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[
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"network.0.bias": [
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0.057517,
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0.082515,
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0.427333
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],
"network.2.bias": [
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0.340007
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0.179669,
0.40094,
0.017198,
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"network.4.bias": [
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"network.6.weight": [
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],
"network.6.bias": [
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"network.8.weight": [
[
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0.064876,
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0.138221,
0.08848,
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0.319976,
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],
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]
],
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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [1.532727, 1.848951, 0.952091, -0.965626, 0.102510, 1.020845, 1.391403, 0.401618]
std: [1.950614, 1.895733, 1.076122, 1.030852, 1.142104, 1.144859, 1.512002, 1.381485]
pca: [[0.557483, 0.208803, -0.274891, 0.118484, 0.609399, -0.409258, -0.006255, -0.130815, 0.000000, 0.000000], [0.559086, -0.143574, -0.015537, 0.192341, -0.437341, 0.226066, 0.470858, -0.406809, 0.000000, 0.000000], [0.015220, -0.447162, 0.592867, -0.197203, 0.462147, -0.003568, 0.436995, 0.069833, 0.000000, 0.000000], [-0.233652, 0.185912, -0.392814, 0.319698, 0.268474, 0.414012, 0.539791, 0.345652, 0.000000, 0.000000], [0.153812, 0.351922, 0.521622, 0.528563, -0.207822, -0.257676, 0.033565, 0.436246, 0.000000, 0.000000], [0.277007, -0.114691, -0.272297, -0.502537, -0.290456, -0.275081, 0.222872, 0.611325, 0.000000, 0.000000], [0.428139, -0.327535, 0.009128, 0.141924, 0.135853, 0.547019, -0.494545, 0.356274, 0.000000, 0.000000], [0.195235, 0.676009, 0.268479, -0.505773, 0.075484, 0.410715, 0.023270, -0.045630, 0.000000, 0.000000]]
fourier: [[32.948452, 35.924398, 40.173545, 45.086041, 137.945471], [29.552940, 30.824166, 38.530123, 39.492418, 166.405606], [14.516268, 16.574408, 16.775142, 19.486685, 85.688167], [14.991126, 15.096137, 16.148443, 19.907224, 86.906357], [16.185115, 19.936707, 20.192362, 20.903557, 22.975894], [17.959570, 19.431997, 20.965651, 21.620070, 91.876078], [21.273974, 26.828695, 29.517105, 30.425512, 125.226288], [21.912415, 22.422694, 23.329435, 23.510513, 36.145575]]
### 2
mean: [-1.778379, 2.699547, -0.979409, 3.129878, -0.910196, -1.555278, -0.632591, 2.347880]
std: [1.490183, 2.728708, 0.936544, 2.486551, 1.338273, 0.982726, 0.499159, 2.298369]
pca: [[-0.299782, 0.187483, -0.022165, 0.700352, 0.461922, 0.225051, -0.305664, 0.162933, 0.000000, 0.000000], [0.557495, -0.093698, -0.043737, 0.157017, -0.398887, 0.332569, -0.314589, 0.534017, 0.000000, 0.000000], [-0.173360, 0.348387, 0.674679, 0.214546, -0.476742, -0.321332, -0.129657, 0.001914, 0.000000, 0.000000], [0.499402, 0.467435, -0.278993, 0.405554, -0.091934, -0.078458, 0.334092, -0.404433, 0.000000, 0.000000], [-0.247892, 0.585758, -0.044923, -0.269033, -0.039495, 0.379448, 0.437592, 0.428966, 0.000000, 0.000000], [-0.188277, -0.330713, -0.243019, 0.366881, -0.175188, -0.452775, 0.478465, 0.443729, 0.000000, 0.000000], [-0.057123, -0.404493, 0.379373, 0.253532, -0.138982, 0.584476, 0.441758, -0.262379, 0.000000, 0.000000], [0.468735, -0.010172, 0.509477, -0.055590, 0.583281, -0.196830, 0.252210, 0.273785, 0.000000, 0.000000]]
fourier: [[26.255671, 27.158893, 29.540865, 34.369209, 160.054126], [48.471413, 51.100784, 51.794850, 59.446504, 242.959188], [14.285385, 16.265601, 18.362727, 21.058454, 88.146826], [38.909124, 46.702591, 49.474958, 49.843194, 281.689030], [22.456319, 24.579154, 25.697712, 30.361293, 81.917640], [13.271565, 17.585779, 18.524499, 20.720367, 139.975025], [7.428743, 7.811224, 8.580186, 8.683841, 56.933218], [38.447278, 42.067566, 45.186358, 51.638151, 211.309188]]
### 4
mean: [-0.757595, 1.107642, -1.156766, -0.671465, -0.757207, 3.421242, 2.122303, -1.110024]
std: [0.554305, 0.689778, 1.494731, 0.462267, 0.926881, 3.609411, 2.291009, 1.236854]
pca: [[-0.112053, -0.233787, -0.563723, 0.101731, -0.503379, -0.353832, 0.248419, 0.405409, 0.000000, 0.000000], [0.138905, -0.382106, -0.062154, 0.452689, 0.123041, 0.604074, -0.230284, 0.439130, 0.000000, 0.000000], [-0.304565, 0.502181, 0.359310, 0.227203, -0.031479, -0.261534, -0.297108, 0.562730, 0.000000, 0.000000], [-0.089712, -0.406235, 0.705989, 0.070911, -0.228902, -0.031367, 0.513756, 0.078424, 0.000000, 0.000000], [-0.190056, -0.024071, -0.160587, -0.120177, 0.768035, -0.102800, 0.472941, 0.314563, 0.000000, 0.000000], [0.740030, 0.267029, 0.080157, -0.395047, -0.115281, 0.100212, 0.177750, 0.404521, 0.000000, 0.000000], [0.469632, 0.159988, -0.012176, 0.723620, 0.149158, -0.344989, 0.203931, -0.217306, 0.000000, 0.000000], [-0.251042, 0.533523, -0.135894, 0.184236, -0.229496, 0.548531, 0.485986, -0.100917, 0.000000, 0.000000]]
fourier: [[8.607292, 9.950242, 11.022388, 11.465215, 68.183522], [12.220726, 12.342000, 12.753022, 16.451739, 99.687824], [26.857638, 27.171324, 27.911620, 34.225450, 104.108934], [7.141390, 8.595811, 8.849978, 9.389982, 60.431873], [15.748096, 16.987201, 18.121352, 20.502086, 68.148608], [61.611482, 66.670721, 70.224091, 78.740291, 307.911774], [38.688901, 42.386840, 44.878003, 50.521811, 191.007216], [22.121962, 22.125673, 22.915029, 28.731907, 99.902140]]
### 6
mean: [-1.115686, 2.127600, 0.213160, 1.642361, 0.524722, 1.694848, 2.946758, -0.719548]
std: [0.694600, 2.402293, 0.487954, 1.833883, 0.371683, 1.753086, 3.394447, 0.433947]
pca: [[-0.138809, -0.443328, 0.120570, 0.584608, 0.538766, -0.230872, 0.133235, 0.258005, 0.000000, 0.000000], [0.482901, -0.078365, -0.077317, -0.247163, -0.063598, 0.000584, 0.049878, 0.828894, 0.000000, 0.000000], [-0.096688, 0.490400, -0.371188, 0.112062, 0.490928, 0.570891, 0.125207, 0.131214, 0.000000, 0.000000], [0.368576, 0.033348, 0.745530, -0.177113, 0.382688, 0.291241, -0.140962, -0.157205, 0.000000, 0.000000], [-0.071835, 0.618951, 0.352203, 0.090576, -0.059036, -0.426237, 0.528104, 0.124220, 0.000000, 0.000000], [0.352369, 0.084148, -0.370165, -0.314305, 0.502511, -0.544174, -0.066465, -0.282639, 0.000000, 0.000000], [0.682344, -0.012899, -0.152712, 0.525096, -0.239412, 0.137373, 0.272340, -0.291266, 0.000000, 0.000000], [-0.086169, -0.406653, -0.038715, -0.412917, 0.070034, 0.198205, 0.765985, -0.155840, 0.000000, 0.000000]]
fourier: [[11.772683, 12.915228, 13.835082, 15.434356, 100.411746], [41.476647, 44.254736, 46.386507, 52.653365, 191.484014], [8.345919, 8.757894, 8.948578, 10.069639, 19.184371], [31.266473, 34.012693, 35.632224, 40.059501, 147.812531], [6.252224, 6.289866, 6.628614, 7.393365, 47.224993], [30.390175, 32.305943, 33.893731, 38.552526, 152.536340], [58.465184, 62.531899, 65.583452, 74.732733, 265.208235], [7.115741, 8.078930, 8.667620, 9.860529, 64.759300]]
### 8
mean: [3.404248, 0.660811, 1.084655, 0.625625, -2.197387, -1.403194, 4.675065, -0.932498]
std: [4.015512, 0.699378, 0.129812, 0.429499, 2.151035, 1.132874, 5.615515, 0.585941]
pca: [[0.543642, 0.095443, 0.031242, 0.568061, 0.254775, 0.294856, 0.468773, 0.008684, 0.000000, 0.000000], [-0.093101, 0.599213, -0.185322, -0.072112, 0.616530, -0.342921, -0.039342, 0.305745, 0.000000, 0.000000], [-0.006193, 0.567566, 0.447224, -0.449254, -0.181092, 0.424248, 0.239231, -0.077327, 0.000000, 0.000000], [-0.057511, 0.284547, -0.586408, 0.155303, -0.492639, 0.317252, -0.080399, 0.444888, 0.000000, 0.000000], [-0.291086, -0.309363, 0.139791, -0.126543, -0.044519, -0.157383, 0.657215, 0.570374, 0.000000, 0.000000], [-0.153078, -0.330367, -0.202357, -0.272989, 0.523618, 0.673494, -0.120933, 0.097772, 0.000000, 0.000000], [0.760256, -0.154405, -0.010385, -0.472414, -0.055302, -0.136061, -0.167991, 0.353688, 0.000000, 0.000000], [-0.079284, -0.006852, 0.600165, 0.363932, 0.016669, 0.133991, -0.490134, 0.492503, 0.000000, 0.000000]]
fourier: [[69.563586, 73.981636, 78.533455, 87.381146, 306.382313], [12.258593, 12.490452, 13.242586, 15.081464, 59.472979], [1.898470, 1.993330, 2.199853, 2.381911, 97.618932], [7.591815, 7.810745, 8.115515, 9.144907, 56.306291], [36.659817, 39.714620, 42.535780, 46.786684, 197.764831], [19.027645, 20.860979, 22.708380, 24.576273, 126.287417], [97.754046, 103.433574, 109.219916, 122.235589, 420.755766], [9.947011, 10.975659, 11.362841, 12.832328, 83.924825]]
### 10
mean: [-2.183548]
std: [4.316535]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[77.514349, 79.721844, 83.520221, 93.212160, 196.519295]]
## 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.
palindrome
|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6868739426136017, "train_acc": 0.55, "val_loss": 0.6849940419197083, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6722411811351776, "train_acc": 0.55, "val_loss": 0.6373380422592163, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6297134160995483, "train_acc": 0.62, "val_loss": 0.4554322063922882, "val_acc": 0.92}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.49904975295066833, "train_acc": 0.835, "val_loss": 0.2803850471973419, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3677315413951874, "train_acc": 0.86, "val_loss": 0.20331741869449615, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3552195727825165, "train_acc": 0.855, "val_loss": 0.1577882617712021, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.32921671867370605, "train_acc": 0.865, "val_loss": 0.1254611611366272, "val_acc": 0.98}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3028290867805481, "train_acc": 0.87, "val_loss": 0.14030200242996216, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.30792751908302307, "train_acc": 0.88, "val_loss": 0.16016674041748047, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.27570590376853943, "train_acc": 0.91, "val_loss": 0.15727917850017548, "val_acc": 0.9}], "summary": {"total_epochs": 10, "degraded_epochs": 2, "improved_epochs": 8, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6849940419197083, "final_val_loss": 0.6373380422592163, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.4554322063922882, "final_val_loss": 0.15727917850017548, "initial_val_acc": 0.92, "final_val_acc": 0.9, "best_val_acc": 0.98, "best_epoch": 6}, "improvement": 0.43999999999999995, "first_improvement_epoch": 1}}
|
9,464
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.78, "improved_accuracy": 0.98, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6849, "learning_rate": 0.03034174430745297, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_ascending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_ascending"], "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: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.0.bias": [
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"network.2.bias": [
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"network.4.weight": [
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"network.8.bias": [
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}
## Activation Signature
### 0
mean: [-0.035288, -1.083632, 3.035886, 2.407283, 1.715838, -1.503839]
std: [1.786251, 2.460348, 2.917622, 2.440770, 2.309450, 1.000057]
pca: [[-0.255945, 0.493654, 0.667957, -0.027982, -0.471813, 0.145744, 0.000000, 0.000000, 0.000000, 0.000000], [-0.406964, 0.714167, -0.382835, -0.006775, 0.421259, -0.016663, 0.000000, 0.000000, 0.000000, 0.000000], [0.569519, 0.407440, -0.198891, -0.030206, -0.345184, -0.591624, 0.000000, 0.000000, 0.000000, 0.000000], [0.483414, 0.232742, -0.253088, -0.089206, -0.127760, 0.789815, 0.000000, 0.000000, 0.000000, 0.000000], [0.440420, 0.161147, 0.503154, 0.385010, 0.615224, -0.012817, 0.000000, 0.000000, 0.000000, 0.000000], [-0.129853, -0.011248, -0.224713, 0.917643, -0.293185, 0.067004, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.616995, 29.188836, 29.773578, 29.982105, 38.212448], [40.984042, 41.239575, 42.976575, 43.347474, 97.526928], [43.969794, 46.541580, 56.298692, 56.918663, 273.229785], [37.890895, 41.613511, 47.023504, 48.607426, 216.655462], [34.553545, 34.558843, 36.215235, 40.468130, 154.425447], [15.245263, 16.438007, 17.061066, 19.106796, 135.345515]]
### 2
mean: [4.270305, -1.836645, -1.661368, -2.225859, -2.594552, -1.906224]
std: [4.437881, 2.512288, 2.608212, 2.992214, 2.999391, 0.994548]
pca: [[0.620777, -0.486034, -0.257518, -0.006286, 0.402585, 0.387269, 0.000000, 0.000000, 0.000000, 0.000000], [-0.349733, -0.338742, -0.061842, 0.750151, 0.356156, -0.263711, 0.000000, 0.000000, 0.000000, 0.000000], [-0.356500, -0.514851, 0.641806, -0.181362, -0.049615, 0.400710, 0.000000, 0.000000, 0.000000, 0.000000], [-0.422199, -0.042781, -0.270123, -0.590932, 0.601066, -0.190971, 0.000000, 0.000000, 0.000000, 0.000000], [-0.422474, -0.089966, -0.639922, 0.064079, -0.363320, 0.517507, 0.000000, 0.000000, 0.000000, 0.000000], [-0.092163, 0.611580, 0.188358, 0.225911, 0.464041, 0.561807, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[65.047177, 65.724465, 83.563789, 84.265151, 384.327421], [39.979884, 42.834169, 43.115612, 52.311966, 165.298066], [41.508041, 42.580868, 48.004839, 52.557182, 149.523123], [45.305833, 47.214179, 54.155789, 60.180528, 200.327328], [45.960755, 47.568595, 53.955435, 61.939035, 233.509678], [16.113513, 16.679162, 17.907759, 20.701619, 171.560165]]
### 4
mean: [-1.873564, -0.985669, 3.787391, 2.048996, -2.123400, 0.267680]
std: [2.344341, 1.643311, 3.104417, 1.621358, 2.759737, 0.784752]
pca: [[-0.444464, 0.082925, -0.052643, 0.380451, 0.803921, -0.042105, 0.000000, 0.000000, 0.000000, 0.000000], [-0.305029, 0.357963, -0.257763, 0.455222, -0.465984, -0.536665, 0.000000, 0.000000, 0.000000, 0.000000], [0.582254, 0.491094, -0.389026, -0.235036, 0.340683, -0.311704, 0.000000, 0.000000, 0.000000, 0.000000], [0.306324, 0.145956, -0.326183, 0.576132, -0.105146, 0.659911, 0.000000, 0.000000, 0.000000, 0.000000], [-0.521318, 0.256947, -0.515158, -0.508822, -0.088776, 0.360606, 0.000000, 0.000000, 0.000000, 0.000000], [-0.069156, 0.732453, 0.638484, -0.044272, -0.039607, 0.218033, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[36.192453, 36.791671, 40.516615, 47.670196, 168.620778], [25.844190, 26.219731, 28.066243, 33.577504, 88.710244], [44.879995, 45.648983, 57.696333, 61.165307, 340.865198], [23.730752, 23.998750, 29.852568, 32.724149, 184.409691], [42.956021, 45.181272, 46.494236, 56.070021, 191.106001], [11.482543, 12.434377, 14.200414, 14.525125, 24.091203]]
### 6
mean: [4.410899, -1.960599, -1.148240, -0.950584, -1.648543, -2.124700]
std: [3.184871, 2.227170, 1.491519, 0.774100, 1.088236, 3.108816]
pca: [[0.624173, -0.358248, 0.250051, 0.422493, -0.217445, 0.440179, 0.000000, 0.000000, 0.000000, 0.000000], [-0.448066, 0.014432, 0.708947, 0.501236, 0.083410, -0.195519, 0.000000, 0.000000, 0.000000, 0.000000], [0.079500, 0.711844, 0.396490, -0.305362, -0.137883, 0.466365, 0.000000, 0.000000, 0.000000, 0.000000], [-0.154337, 0.051494, -0.220368, 0.249509, 0.766235, 0.524973, 0.000000, 0.000000, 0.000000, 0.000000], [0.023183, 0.535439, -0.446354, 0.643863, -0.295642, -0.107576, 0.000000, 0.000000, 0.000000, 0.000000], [-0.615603, -0.274558, -0.172832, -0.014192, -0.502224, 0.513176, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[46.596193, 48.110528, 57.346066, 65.909595, 396.980879], [35.954574, 35.994389, 36.129215, 47.242971, 176.453889], [22.393197, 22.488718, 23.519646, 24.010547, 103.341620], [11.800137, 12.067693, 13.431584, 16.423760, 85.552593], [15.515723, 16.828758, 17.501375, 17.553132, 148.368874], [51.385074, 52.218674, 53.213095, 66.313819, 191.222974]]
### 8
mean: [-3.113124]
std: [2.534954]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.958973, 42.559956, 44.397800, 55.157293, 280.181179]]
## 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_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
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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[
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[
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],
[
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## Activation Signature
### 0
mean: [-0.035288, -1.083632, 3.035886, 2.407283, 1.715838, -1.503839]
std: [1.786251, 2.460348, 2.917622, 2.440770, 2.309450, 1.000057]
pca: [[-0.255945, 0.493654, 0.667957, -0.027982, -0.471813, 0.145744, 0.000000, 0.000000, 0.000000, 0.000000], [-0.406964, 0.714167, -0.382835, -0.006775, 0.421259, -0.016663, 0.000000, 0.000000, 0.000000, 0.000000], [0.569519, 0.407440, -0.198891, -0.030206, -0.345184, -0.591624, 0.000000, 0.000000, 0.000000, 0.000000], [0.483414, 0.232742, -0.253088, -0.089206, -0.127760, 0.789815, 0.000000, 0.000000, 0.000000, 0.000000], [0.440420, 0.161147, 0.503154, 0.385010, 0.615224, -0.012817, 0.000000, 0.000000, 0.000000, 0.000000], [-0.129853, -0.011248, -0.224713, 0.917643, -0.293185, 0.067004, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.616995, 29.188836, 29.773578, 29.982105, 38.212448], [40.984042, 41.239575, 42.976575, 43.347474, 97.526928], [43.969794, 46.541580, 56.298692, 56.918663, 273.229785], [37.890895, 41.613511, 47.023504, 48.607426, 216.655462], [34.553545, 34.558843, 36.215235, 40.468130, 154.425447], [15.245263, 16.438007, 17.061066, 19.106796, 135.345515]]
### 2
mean: [4.270305, -1.836645, -1.661368, -2.225859, -2.594552, -1.906224]
std: [4.437881, 2.512288, 2.608212, 2.992214, 2.999391, 0.994548]
pca: [[0.620777, -0.486034, -0.257518, -0.006286, 0.402585, 0.387269, 0.000000, 0.000000, 0.000000, 0.000000], [-0.349733, -0.338742, -0.061842, 0.750151, 0.356156, -0.263711, 0.000000, 0.000000, 0.000000, 0.000000], [-0.356500, -0.514851, 0.641806, -0.181362, -0.049615, 0.400710, 0.000000, 0.000000, 0.000000, 0.000000], [-0.422199, -0.042781, -0.270123, -0.590932, 0.601066, -0.190971, 0.000000, 0.000000, 0.000000, 0.000000], [-0.422474, -0.089966, -0.639922, 0.064079, -0.363320, 0.517507, 0.000000, 0.000000, 0.000000, 0.000000], [-0.092163, 0.611580, 0.188358, 0.225911, 0.464041, 0.561807, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[65.047177, 65.724465, 83.563789, 84.265151, 384.327421], [39.979884, 42.834169, 43.115612, 52.311966, 165.298066], [41.508041, 42.580868, 48.004839, 52.557182, 149.523123], [45.305833, 47.214179, 54.155789, 60.180528, 200.327328], [45.960755, 47.568595, 53.955435, 61.939035, 233.509678], [16.113513, 16.679162, 17.907759, 20.701619, 171.560165]]
### 4
mean: [-1.873564, -0.985669, 3.787391, 2.048996, -2.123400, 0.267680]
std: [2.344341, 1.643311, 3.104417, 1.621358, 2.759737, 0.784752]
pca: [[-0.444464, 0.082925, -0.052643, 0.380451, 0.803921, -0.042105, 0.000000, 0.000000, 0.000000, 0.000000], [-0.305029, 0.357963, -0.257763, 0.455222, -0.465984, -0.536665, 0.000000, 0.000000, 0.000000, 0.000000], [0.582254, 0.491094, -0.389026, -0.235036, 0.340683, -0.311704, 0.000000, 0.000000, 0.000000, 0.000000], [0.306324, 0.145956, -0.326183, 0.576132, -0.105146, 0.659911, 0.000000, 0.000000, 0.000000, 0.000000], [-0.521318, 0.256947, -0.515158, -0.508822, -0.088776, 0.360606, 0.000000, 0.000000, 0.000000, 0.000000], [-0.069156, 0.732453, 0.638484, -0.044272, -0.039607, 0.218033, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[36.192453, 36.791671, 40.516615, 47.670196, 168.620778], [25.844190, 26.219731, 28.066243, 33.577504, 88.710244], [44.879995, 45.648983, 57.696333, 61.165307, 340.865198], [23.730752, 23.998750, 29.852568, 32.724149, 184.409691], [42.956021, 45.181272, 46.494236, 56.070021, 191.106001], [11.482543, 12.434377, 14.200414, 14.525125, 24.091203]]
### 6
mean: [4.410899, -1.960599, -1.148240, -0.950584, -1.648543, -2.124700]
std: [3.184871, 2.227170, 1.491519, 0.774100, 1.088236, 3.108816]
pca: [[0.624173, -0.358248, 0.250051, 0.422493, -0.217445, 0.440179, 0.000000, 0.000000, 0.000000, 0.000000], [-0.448066, 0.014432, 0.708947, 0.501236, 0.083410, -0.195519, 0.000000, 0.000000, 0.000000, 0.000000], [0.079500, 0.711844, 0.396490, -0.305362, -0.137883, 0.466365, 0.000000, 0.000000, 0.000000, 0.000000], [-0.154337, 0.051494, -0.220368, 0.249509, 0.766235, 0.524973, 0.000000, 0.000000, 0.000000, 0.000000], [0.023183, 0.535439, -0.446354, 0.643863, -0.295642, -0.107576, 0.000000, 0.000000, 0.000000, 0.000000], [-0.615603, -0.274558, -0.172832, -0.014192, -0.502224, 0.513176, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[46.596193, 48.110528, 57.346066, 65.909595, 396.980879], [35.954574, 35.994389, 36.129215, 47.242971, 176.453889], [22.393197, 22.488718, 23.519646, 24.010547, 103.341620], [11.800137, 12.067693, 13.431584, 16.423760, 85.552593], [15.515723, 16.828758, 17.501375, 17.553132, 148.368874], [51.385074, 52.218674, 53.213095, 66.313819, 191.222974]]
### 8
mean: [-3.113124]
std: [2.534954]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.958973, 42.559956, 44.397800, 55.157293, 280.181179]]
## 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_ascending
|
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17.50137539243946, 17.553131568508974, 148.36887395381927]}, "5": {"mean": -2.124699831008911, "std": 3.108815908432007, "pca": [-0.6156025528907776, -0.2745579481124878, -0.17283235490322113, -0.014191599562764168, -0.5022242665290833, 0.5131761431694031, 0.0, 0.0, 0.0, 0.0], "fourier": [51.385074021354974, 52.21867413903526, 53.21309537076934, 66.31381912864447, 191.22297377884388]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -3.113123893737793, "std": 2.5349538326263428, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [41.95897292234419, 42.55995553222597, 44.397800192641945, 55.15729268757117, 280.1811788082123]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "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": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.077236, -0.717948, 0.020924, -0.00694, 0.625395], [-0.388167, -0.773632, -0.540277, 0.310168, 0.560539], [0.808631, 0.971507, -0.208984, 0.308651, 0.103031], [0.615532, 0.882238, -0.143609, 0.244308, -0.012771], [0.594078, 0.85125, -0.00219, -0.220538, 0.258579], [0.069448, -0.289296, -0.332723, -0.104441, -0.111231]], "network.0.bias": [0.568941, 0.581258, -0.093124, -0.174515, -0.416033, -0.006929], "network.2.weight": [[0.221567, -0.159508, 0.605383, 0.694957, 0.488731, 0.091202], [0.314324, 0.546898, -0.487875, -0.056153, -0.312387, -0.542626], [0.374123, 0.648026, -0.120643, -0.267911, -0.565258, -0.426186], [0.005182, 0.413485, -0.169985, -0.756509, -0.259401, -0.403035], [0.107369, 0.433376, -0.396078, -0.552206, -0.165473, -0.725927], [-0.363848, -0.366004, -0.220088, -0.096947, -0.024158, 0.688608]], "network.2.bias": [-0.142395, -0.100586, -0.149025, 0.358705, -0.067337, -0.568073], "network.4.weight": [[-0.489606, 0.618053, 0.149039, 0.373222, 0.279316, -0.192914], [-0.310713, 0.51099, 0.405143, 0.17215, 0.499079, -0.488265], [0.696521, -0.135399, 0.174312, -0.413848, -0.419302, -0.526773], [0.360868, -0.032686, 0.018665, -0.511967, -0.173762, -0.785901], [-0.564409, 0.303983, 0.673841, 0.436581, 0.368477, 0.022815], [-0.021418, 0.735136, 0.131849, 0.73687, 0.612231, 0.283838]], "network.4.bias": [0.07827, 0.159294, 0.798716, 0.490175, 0.096624, 0.225952], "network.6.weight": [[-0.549832, 0.090394, 0.680127, 0.561822, -0.230621, -0.017184], [0.371708, 0.435194, -0.345804, -0.485145, -0.10207, 0.48828], [-0.555068, -0.71679, -0.08479, -0.160473, -0.595509, -0.667358], [0.233141, 0.133234, -0.231849, 0.008717, 0.019035, -0.035078], [-0.071448, -0.462398, 0.002868, -0.352082, -0.312957, -0.821332], [0.681371, 0.63577, -0.448227, -0.513743, 0.731605, 0.581543]], "network.6.bias": [0.826116, 0.10306, -0.142645, -0.129167, -0.658499, 0.195399], "network.8.weight": [[-0.609089, 0.29478, 0.70423, 0.220582, 0.632535, 0.60035]], "network.8.bias": [-0.519073]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6848089396953583, "train_acc": 0.5, "val_loss": 0.6388698816299438, "val_acc": 0.76}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6399445831775665, "train_acc": 0.685, "val_loss": 0.5735042095184326, "val_acc": 0.78}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5359945446252823, "train_acc": 0.79, "val_loss": 0.4860510230064392, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.45087429881095886, "train_acc": 0.875, "val_loss": 0.37202468514442444, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.35231880843639374, "train_acc": 0.89, "val_loss": 0.28840067982673645, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.28342898190021515, "train_acc": 0.915, "val_loss": 0.18407997488975525, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.2618347033858299, "train_acc": 0.925, "val_loss": 0.14124177396297455, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.24023668467998505, "train_acc": 0.93, "val_loss": 0.16075806319713593, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.18804171681404114, "train_acc": 0.92, "val_loss": 0.11927511543035507, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.22473080456256866, "train_acc": 0.93, "val_loss": 0.08913124352693558, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.2018646076321602, "train_acc": 0.94, "val_loss": 0.13340210914611816, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.2067307010293007, "train_acc": 0.91, "val_loss": 0.08329933136701584, "val_acc": 0.98}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6388698816299438, "final_val_loss": 0.5735042095184326, "initial_val_acc": 0.76, "final_val_acc": 0.78, "best_val_acc": 0.78}, "improved_stage": {"initial_val_loss": 0.4860510230064392, "final_val_loss": 0.08329933136701584, "initial_val_acc": 0.86, "final_val_acc": 0.98, "best_val_acc": 0.98, "best_epoch": 11}, "improvement": 0.19999999999999996, "first_improvement_epoch": 1}}
|
9,465
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.52, "improved_accuracy": 0.9, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6009, "learning_rate": 0.015680116455073275, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "increasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["increasing_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: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.2.weight": [
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[
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"network.6.weight": [
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"network.8.weight": [
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"network.8.bias": [
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"network.10.weight": [
[
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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [0.541575, 0.744280, 2.393777, 0.124668, 1.645837, -0.125556, 0.326028, 0.184139]
std: [0.960464, 1.830103, 1.970443, 0.894324, 1.490623, 1.379623, 1.292560, 1.741532]
pca: [[0.181687, 0.076754, -0.354560, -0.326377, -0.505007, 0.373272, 0.541842, 0.202255, 0.000000, 0.000000], [-0.477258, -0.060649, -0.520601, 0.606077, -0.183426, 0.244737, -0.081939, -0.173024, 0.000000, 0.000000], [0.545309, 0.354519, -0.427790, 0.097679, 0.058150, -0.322633, 0.018606, -0.525918, 0.000000, 0.000000], [-0.195537, -0.089293, -0.279944, 0.069770, 0.555032, -0.358112, 0.596581, 0.279895, 0.000000, 0.000000], [0.380682, 0.284188, 0.134834, 0.597686, -0.141227, -0.065744, -0.034113, 0.611129, 0.000000, 0.000000], [-0.255867, 0.378756, 0.538123, 0.225414, -0.189248, -0.052329, 0.520160, -0.376256, 0.000000, 0.000000], [0.356879, -0.186357, 0.139241, 0.221842, 0.482233, 0.684979, 0.179292, -0.188192, 0.000000, 0.000000], [-0.256651, 0.773191, -0.121425, -0.233423, 0.334024, 0.303611, -0.198904, 0.154148, 0.000000, 0.000000]]
fourier: [[14.237775, 14.815069, 14.821660, 20.206759, 48.741756], [26.471417, 26.553584, 32.526743, 34.838763, 66.985163], [31.868077, 33.217934, 33.861170, 36.982363, 215.439944], [13.666490, 13.736846, 15.064963, 16.612546, 16.661819], [21.396348, 26.320647, 27.750642, 30.489858, 148.125292], [21.882755, 22.516503, 23.549097, 23.650778, 26.699883], [20.633778, 21.865029, 23.973730, 29.342477, 30.411117], [25.778465, 26.337720, 28.538727, 32.162943, 36.374425]]
### 2
mean: [-0.879708, 1.750336, -1.038353, -0.186511, 2.862158, 1.732223, -0.437800, 1.512756]
std: [0.831439, 0.753355, 0.658120, 1.201700, 2.422078, 1.492210, 0.767519, 0.986426]
pca: [[0.172873, 0.497372, 0.083638, 0.050184, -0.498167, -0.041416, 0.555548, -0.393323, 0.000000, 0.000000], [0.130724, -0.481492, 0.373531, 0.562435, -0.199165, 0.362241, 0.281811, 0.211934, 0.000000, 0.000000], [0.033064, 0.540115, 0.143275, -0.132458, 0.260926, 0.353818, 0.219822, 0.653849, 0.000000, 0.000000], [-0.341361, -0.238126, 0.546973, -0.377448, 0.251525, -0.353413, 0.441985, -0.040078, 0.000000, 0.000000], [0.726796, -0.099918, 0.014285, -0.102392, 0.557612, 0.122331, 0.153982, -0.318575, 0.000000, 0.000000], [0.441613, -0.000741, 0.515831, -0.361873, -0.414049, -0.109759, -0.443823, 0.165776, 0.000000, 0.000000], [-0.214269, -0.194262, -0.059448, -0.521977, -0.165804, 0.737926, 0.018420, -0.260752, 0.000000, 0.000000], [0.257372, -0.353037, -0.513763, -0.327476, -0.266379, -0.213147, 0.383729, 0.417485, 0.000000, 0.000000]]
fourier: [[11.244974, 11.468617, 17.522771, 18.279309, 79.173713], [11.321563, 12.281926, 12.680098, 15.507617, 157.530228], [9.908474, 10.305270, 10.974099, 11.638536, 93.451806], [17.168842, 17.981427, 20.595860, 21.805128, 26.739417], [37.241616, 41.358827, 45.857739, 51.771583, 257.594248], [22.492023, 26.096194, 28.661512, 34.078454, 155.900094], [11.483514, 11.487771, 13.942153, 18.196001, 39.402006], [15.552381, 15.648014, 17.855694, 18.522683, 136.148073]]
### 4
mean: [2.050377, 3.517578, 1.528265, -0.435082, 2.355807, 1.629737, 1.898857, -0.171679]
std: [1.847328, 2.437731, 1.315638, 0.561439, 1.756001, 1.205314, 1.044224, 1.105741]
pca: [[0.438084, -0.163045, 0.240225, -0.412271, -0.335919, -0.432636, -0.358076, -0.354387, 0.000000, 0.000000], [0.570000, 0.633543, -0.092990, 0.105206, -0.347332, 0.334346, 0.146905, 0.000343, 0.000000, 0.000000], [0.310258, -0.227988, 0.165717, -0.254383, 0.358305, 0.596597, -0.444839, 0.278201, 0.000000, 0.000000], [-0.127914, -0.019093, 0.673113, -0.318973, -0.027472, 0.264511, 0.566647, -0.191412, 0.000000, 0.000000], [0.417037, -0.099063, 0.280595, 0.177791, 0.176969, -0.443549, 0.285817, 0.629427, 0.000000, 0.000000], [0.283057, -0.214697, 0.214191, 0.678604, 0.281223, 0.069268, -0.014278, -0.532273, 0.000000, 0.000000], [0.245497, 0.154715, -0.384369, -0.398422, 0.641725, -0.159114, 0.302309, -0.284246, 0.000000, 0.000000], [-0.237174, 0.663213, 0.425148, 0.040698, 0.339361, -0.219756, -0.397422, -0.009309, 0.000000, 0.000000]]
fourier: [[28.479571, 33.088229, 35.665466, 41.990836, 184.533890], [37.391846, 43.846203, 48.785832, 49.099721, 316.581976], [19.333917, 24.531175, 25.197923, 30.649507, 137.543848], [9.296524, 9.381380, 10.684577, 11.000040, 39.157340], [26.965062, 31.139255, 34.267510, 40.149186, 212.022641], [17.632479, 22.462923, 23.111479, 28.600802, 146.676392], [16.721293, 18.409570, 20.545452, 21.281675, 170.897084], [15.268537, 15.451143, 17.688592, 23.926045, 26.192417]]
### 6
mean: [3.362198, 4.471176, -0.080422, 2.837803, 2.388263, 4.669655, 4.546934, 0.161479]
std: [2.755662, 3.222021, 0.200532, 2.187593, 1.862265, 3.375152, 3.371251, 0.232628]
pca: [[0.393644, -0.039450, -0.030721, -0.459470, 0.612863, 0.213084, 0.186260, -0.419205, 0.000000, 0.000000], [0.460280, -0.065932, -0.174286, 0.252837, -0.438531, 0.647814, 0.278062, -0.014214, 0.000000, 0.000000], [0.023249, 0.419244, 0.230607, -0.491381, -0.483269, -0.250238, 0.466850, -0.122234, 0.000000, 0.000000], [0.312424, -0.136943, 0.130692, 0.548180, 0.181645, -0.513828, 0.513740, -0.071509, 0.000000, 0.000000], [0.265423, 0.473298, -0.306071, 0.227821, -0.137551, -0.223399, -0.450059, -0.537195, 0.000000, 0.000000], [0.482057, 0.259649, -0.336308, -0.187199, 0.123365, -0.198751, -0.083574, 0.700251, 0.000000, 0.000000], [0.481336, -0.385610, 0.572711, -0.149167, -0.237166, -0.140877, -0.439617, -0.003866, 0.000000, 0.000000], [0.022905, 0.599545, 0.603026, 0.271674, 0.274149, 0.314705, -0.057542, 0.158322, 0.000000, 0.000000]]
fourier: [[45.926714, 46.997480, 55.191158, 61.468577, 302.597763], [53.684287, 55.652554, 64.572990, 71.321113, 402.405807], [2.691657, 2.853100, 3.928354, 5.111664, 7.238012], [36.367726, 37.634096, 43.579877, 48.466702, 255.402267], [30.059124, 33.492666, 36.736711, 42.783649, 214.943596], [55.764936, 58.679496, 67.251360, 75.980524, 420.268991], [56.485277, 57.439349, 67.664782, 74.182483, 409.224064], [3.305305, 3.514334, 5.042350, 5.840625, 14.533130]]
### 8
mean: [-8.046554, 9.368940, 7.044401, -7.897344, 8.425460, -7.711912, -10.932508, -8.687062]
std: [6.151817, 7.133705, 5.579352, 6.244810, 6.545803, 6.068234, 8.337128, 6.916520]
pca: [[0.326087, 0.750623, -0.241957, 0.164851, 0.043305, -0.425104, -0.052899, 0.243159, 0.000000, 0.000000], [-0.378153, 0.059505, 0.531391, 0.572546, -0.263238, -0.258162, -0.327408, -0.011644, 0.000000, 0.000000], [-0.295754, 0.355487, 0.436542, -0.028683, 0.605427, 0.245482, 0.378656, 0.156790, 0.000000, 0.000000], [0.331030, -0.359441, -0.085464, 0.552716, 0.538823, -0.241215, 0.147105, -0.279764, 0.000000, 0.000000], [-0.346989, 0.021412, -0.522398, 0.519114, -0.198739, 0.347372, 0.341770, 0.244521, 0.000000, 0.000000], [0.321671, -0.349469, 0.213995, 0.057750, 0.006252, 0.022253, -0.039549, 0.850395, 0.000000, 0.000000], [0.441947, 0.099417, 0.372475, 0.107094, -0.476580, 0.106667, 0.605563, -0.198444, 0.000000, 0.000000], [0.366641, 0.212094, 0.061450, 0.233269, 0.072760, 0.708275, -0.489804, -0.124678, 0.000000, 0.000000]]
fourier: [[104.187399, 105.619277, 123.878613, 136.035575, 724.189858], [121.552373, 121.736595, 143.914274, 156.911822, 843.204612], [94.751932, 95.480401, 112.614248, 122.549175, 633.996016], [106.270272, 106.826437, 126.259881, 136.962582, 710.760975], [111.527150, 111.915950, 132.011919, 143.989524, 758.291393], [103.276326, 103.778976, 122.505780, 133.256541, 694.072135], [142.097438, 142.385504, 168.144705, 183.543463, 983.925664], [117.724534, 118.301362, 139.576076, 152.320964, 781.835628]]
### 10
mean: [-12.135213]
std: [9.393985]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[159.346133, 160.836672, 189.315842, 207.124108, 1092.169224]]
## 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.
|
increasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.6.weight": [
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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [0.541575, 0.744280, 2.393777, 0.124668, 1.645837, -0.125556, 0.326028, 0.184139]
std: [0.960464, 1.830103, 1.970443, 0.894324, 1.490623, 1.379623, 1.292560, 1.741532]
pca: [[0.181687, 0.076754, -0.354560, -0.326377, -0.505007, 0.373272, 0.541842, 0.202255, 0.000000, 0.000000], [-0.477258, -0.060649, -0.520601, 0.606077, -0.183426, 0.244737, -0.081939, -0.173024, 0.000000, 0.000000], [0.545309, 0.354519, -0.427790, 0.097679, 0.058150, -0.322633, 0.018606, -0.525918, 0.000000, 0.000000], [-0.195537, -0.089293, -0.279944, 0.069770, 0.555032, -0.358112, 0.596581, 0.279895, 0.000000, 0.000000], [0.380682, 0.284188, 0.134834, 0.597686, -0.141227, -0.065744, -0.034113, 0.611129, 0.000000, 0.000000], [-0.255867, 0.378756, 0.538123, 0.225414, -0.189248, -0.052329, 0.520160, -0.376256, 0.000000, 0.000000], [0.356879, -0.186357, 0.139241, 0.221842, 0.482233, 0.684979, 0.179292, -0.188192, 0.000000, 0.000000], [-0.256651, 0.773191, -0.121425, -0.233423, 0.334024, 0.303611, -0.198904, 0.154148, 0.000000, 0.000000]]
fourier: [[14.237775, 14.815069, 14.821660, 20.206759, 48.741756], [26.471417, 26.553584, 32.526743, 34.838763, 66.985163], [31.868077, 33.217934, 33.861170, 36.982363, 215.439944], [13.666490, 13.736846, 15.064963, 16.612546, 16.661819], [21.396348, 26.320647, 27.750642, 30.489858, 148.125292], [21.882755, 22.516503, 23.549097, 23.650778, 26.699883], [20.633778, 21.865029, 23.973730, 29.342477, 30.411117], [25.778465, 26.337720, 28.538727, 32.162943, 36.374425]]
### 2
mean: [-0.879708, 1.750336, -1.038353, -0.186511, 2.862158, 1.732223, -0.437800, 1.512756]
std: [0.831439, 0.753355, 0.658120, 1.201700, 2.422078, 1.492210, 0.767519, 0.986426]
pca: [[0.172873, 0.497372, 0.083638, 0.050184, -0.498167, -0.041416, 0.555548, -0.393323, 0.000000, 0.000000], [0.130724, -0.481492, 0.373531, 0.562435, -0.199165, 0.362241, 0.281811, 0.211934, 0.000000, 0.000000], [0.033064, 0.540115, 0.143275, -0.132458, 0.260926, 0.353818, 0.219822, 0.653849, 0.000000, 0.000000], [-0.341361, -0.238126, 0.546973, -0.377448, 0.251525, -0.353413, 0.441985, -0.040078, 0.000000, 0.000000], [0.726796, -0.099918, 0.014285, -0.102392, 0.557612, 0.122331, 0.153982, -0.318575, 0.000000, 0.000000], [0.441613, -0.000741, 0.515831, -0.361873, -0.414049, -0.109759, -0.443823, 0.165776, 0.000000, 0.000000], [-0.214269, -0.194262, -0.059448, -0.521977, -0.165804, 0.737926, 0.018420, -0.260752, 0.000000, 0.000000], [0.257372, -0.353037, -0.513763, -0.327476, -0.266379, -0.213147, 0.383729, 0.417485, 0.000000, 0.000000]]
fourier: [[11.244974, 11.468617, 17.522771, 18.279309, 79.173713], [11.321563, 12.281926, 12.680098, 15.507617, 157.530228], [9.908474, 10.305270, 10.974099, 11.638536, 93.451806], [17.168842, 17.981427, 20.595860, 21.805128, 26.739417], [37.241616, 41.358827, 45.857739, 51.771583, 257.594248], [22.492023, 26.096194, 28.661512, 34.078454, 155.900094], [11.483514, 11.487771, 13.942153, 18.196001, 39.402006], [15.552381, 15.648014, 17.855694, 18.522683, 136.148073]]
### 4
mean: [2.050377, 3.517578, 1.528265, -0.435082, 2.355807, 1.629737, 1.898857, -0.171679]
std: [1.847328, 2.437731, 1.315638, 0.561439, 1.756001, 1.205314, 1.044224, 1.105741]
pca: [[0.438084, -0.163045, 0.240225, -0.412271, -0.335919, -0.432636, -0.358076, -0.354387, 0.000000, 0.000000], [0.570000, 0.633543, -0.092990, 0.105206, -0.347332, 0.334346, 0.146905, 0.000343, 0.000000, 0.000000], [0.310258, -0.227988, 0.165717, -0.254383, 0.358305, 0.596597, -0.444839, 0.278201, 0.000000, 0.000000], [-0.127914, -0.019093, 0.673113, -0.318973, -0.027472, 0.264511, 0.566647, -0.191412, 0.000000, 0.000000], [0.417037, -0.099063, 0.280595, 0.177791, 0.176969, -0.443549, 0.285817, 0.629427, 0.000000, 0.000000], [0.283057, -0.214697, 0.214191, 0.678604, 0.281223, 0.069268, -0.014278, -0.532273, 0.000000, 0.000000], [0.245497, 0.154715, -0.384369, -0.398422, 0.641725, -0.159114, 0.302309, -0.284246, 0.000000, 0.000000], [-0.237174, 0.663213, 0.425148, 0.040698, 0.339361, -0.219756, -0.397422, -0.009309, 0.000000, 0.000000]]
fourier: [[28.479571, 33.088229, 35.665466, 41.990836, 184.533890], [37.391846, 43.846203, 48.785832, 49.099721, 316.581976], [19.333917, 24.531175, 25.197923, 30.649507, 137.543848], [9.296524, 9.381380, 10.684577, 11.000040, 39.157340], [26.965062, 31.139255, 34.267510, 40.149186, 212.022641], [17.632479, 22.462923, 23.111479, 28.600802, 146.676392], [16.721293, 18.409570, 20.545452, 21.281675, 170.897084], [15.268537, 15.451143, 17.688592, 23.926045, 26.192417]]
### 6
mean: [3.362198, 4.471176, -0.080422, 2.837803, 2.388263, 4.669655, 4.546934, 0.161479]
std: [2.755662, 3.222021, 0.200532, 2.187593, 1.862265, 3.375152, 3.371251, 0.232628]
pca: [[0.393644, -0.039450, -0.030721, -0.459470, 0.612863, 0.213084, 0.186260, -0.419205, 0.000000, 0.000000], [0.460280, -0.065932, -0.174286, 0.252837, -0.438531, 0.647814, 0.278062, -0.014214, 0.000000, 0.000000], [0.023249, 0.419244, 0.230607, -0.491381, -0.483269, -0.250238, 0.466850, -0.122234, 0.000000, 0.000000], [0.312424, -0.136943, 0.130692, 0.548180, 0.181645, -0.513828, 0.513740, -0.071509, 0.000000, 0.000000], [0.265423, 0.473298, -0.306071, 0.227821, -0.137551, -0.223399, -0.450059, -0.537195, 0.000000, 0.000000], [0.482057, 0.259649, -0.336308, -0.187199, 0.123365, -0.198751, -0.083574, 0.700251, 0.000000, 0.000000], [0.481336, -0.385610, 0.572711, -0.149167, -0.237166, -0.140877, -0.439617, -0.003866, 0.000000, 0.000000], [0.022905, 0.599545, 0.603026, 0.271674, 0.274149, 0.314705, -0.057542, 0.158322, 0.000000, 0.000000]]
fourier: [[45.926714, 46.997480, 55.191158, 61.468577, 302.597763], [53.684287, 55.652554, 64.572990, 71.321113, 402.405807], [2.691657, 2.853100, 3.928354, 5.111664, 7.238012], [36.367726, 37.634096, 43.579877, 48.466702, 255.402267], [30.059124, 33.492666, 36.736711, 42.783649, 214.943596], [55.764936, 58.679496, 67.251360, 75.980524, 420.268991], [56.485277, 57.439349, 67.664782, 74.182483, 409.224064], [3.305305, 3.514334, 5.042350, 5.840625, 14.533130]]
### 8
mean: [-8.046554, 9.368940, 7.044401, -7.897344, 8.425460, -7.711912, -10.932508, -8.687062]
std: [6.151817, 7.133705, 5.579352, 6.244810, 6.545803, 6.068234, 8.337128, 6.916520]
pca: [[0.326087, 0.750623, -0.241957, 0.164851, 0.043305, -0.425104, -0.052899, 0.243159, 0.000000, 0.000000], [-0.378153, 0.059505, 0.531391, 0.572546, -0.263238, -0.258162, -0.327408, -0.011644, 0.000000, 0.000000], [-0.295754, 0.355487, 0.436542, -0.028683, 0.605427, 0.245482, 0.378656, 0.156790, 0.000000, 0.000000], [0.331030, -0.359441, -0.085464, 0.552716, 0.538823, -0.241215, 0.147105, -0.279764, 0.000000, 0.000000], [-0.346989, 0.021412, -0.522398, 0.519114, -0.198739, 0.347372, 0.341770, 0.244521, 0.000000, 0.000000], [0.321671, -0.349469, 0.213995, 0.057750, 0.006252, 0.022253, -0.039549, 0.850395, 0.000000, 0.000000], [0.441947, 0.099417, 0.372475, 0.107094, -0.476580, 0.106667, 0.605563, -0.198444, 0.000000, 0.000000], [0.366641, 0.212094, 0.061450, 0.233269, 0.072760, 0.708275, -0.489804, -0.124678, 0.000000, 0.000000]]
fourier: [[104.187399, 105.619277, 123.878613, 136.035575, 724.189858], [121.552373, 121.736595, 143.914274, 156.911822, 843.204612], [94.751932, 95.480401, 112.614248, 122.549175, 633.996016], [106.270272, 106.826437, 126.259881, 136.962582, 710.760975], [111.527150, 111.915950, 132.011919, 143.989524, 758.291393], [103.276326, 103.778976, 122.505780, 133.256541, 694.072135], [142.097438, 142.385504, 168.144705, 183.543463, 983.925664], [117.724534, 118.301362, 139.576076, 152.320964, 781.835628]]
### 10
mean: [-12.135213]
std: [9.393985]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[159.346133, 160.836672, 189.315842, 207.124108, 1092.169224]]
## 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.
increasing_pairs
|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.67665696144104, "train_acc": 0.57, "val_loss": 0.6969048976898193, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6823208332061768, "train_acc": 0.57, "val_loss": 0.6922902464866638, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6757390201091766, "train_acc": 0.57, "val_loss": 0.6807065010070801, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6516433954238892, "train_acc": 0.57, "val_loss": 0.6531347632408142, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6402283012866974, "train_acc": 0.495, "val_loss": 0.5837557315826416, "val_acc": 0.52}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5617217719554901, "train_acc": 0.495, "val_loss": 0.5066453218460083, "val_acc": 0.52}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.4829971641302109, "train_acc": 0.54, "val_loss": 0.4558698236942291, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.44529464840888977, "train_acc": 0.855, "val_loss": 0.4144142270088196, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.4170779436826706, "train_acc": 0.89, "val_loss": 0.3796141743659973, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.3732468783855438, "train_acc": 0.915, "val_loss": 0.3558366894721985, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.33905765414237976, "train_acc": 0.89, "val_loss": 0.3250575363636017, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.3108084946870804, "train_acc": 0.905, "val_loss": 0.29533907771110535, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.2858837842941284, "train_acc": 0.91, "val_loss": 0.2814265787601471, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.2670748457312584, "train_acc": 0.92, "val_loss": 0.29466715455055237, "val_acc": 0.9}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6969048976898193, "final_val_loss": 0.6531347632408142, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.5837557315826416, "final_val_loss": 0.29466715455055237, "initial_val_acc": 0.52, "final_val_acc": 0.9, "best_val_acc": 0.9, "best_epoch": 11}, "improvement": 0.38, "first_improvement_epoch": 3}}
|
9,466
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.44, "improved_accuracy": 1.0, "improvement": 0.56, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9009, "learning_rate": 0.057087248246288975, "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: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.304099,
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-0.512853,
0.387332,
-0.162322
],
[
-0.247482,
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-0.129897,
-0.039104,
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],
[
0.728854,
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0.043794,
-0.057997
],
[
1.158217,
0.174632,
0.441575,
0.189435,
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],
[
-0.228849,
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0.595197,
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[
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]
],
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"network.8.bias": [
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}
## Activation Signature
### 0
mean: [-1.470869, -1.657036, 2.418484, 3.609330, -1.020213, 1.842749]
std: [1.803536, 1.410741, 2.578029, 3.071108, 1.546870, 2.543998]
pca: [[-0.283644, 0.460631, -0.422401, -0.098985, 0.702484, 0.160189, 0.000000, 0.000000, 0.000000, 0.000000], [-0.254102, 0.093424, 0.001863, 0.910226, -0.102040, 0.296272, 0.000000, 0.000000, 0.000000, 0.000000], [0.513055, -0.058026, 0.500514, 0.269510, 0.620429, -0.159143, 0.000000, 0.000000, 0.000000, 0.000000], [0.613363, -0.261355, -0.487717, 0.015629, -0.000489, 0.563353, 0.000000, 0.000000, 0.000000, 0.000000], [-0.133232, -0.592364, -0.482059, 0.227417, 0.202967, -0.553226, 0.000000, 0.000000, 0.000000, 0.000000], [0.444735, 0.597095, -0.317507, 0.192593, -0.264530, -0.487657, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.808806, 29.182214, 31.846991, 41.031443, 132.378179], [23.669642, 25.484072, 25.627831, 28.165394, 149.133257], [41.308939, 42.849715, 45.325476, 46.492564, 217.663536], [51.646420, 52.361302, 61.211939, 61.460395, 324.839709], [26.183276, 27.417192, 34.967040, 35.129915, 91.819147], [39.007767, 40.455217, 40.868743, 40.974707, 165.847367]]
### 2
mean: [3.414055, 3.733224, -0.101378, -3.104915, -0.142047, -2.731584]
std: [3.345903, 3.988501, 0.407770, 2.934889, 1.215243, 2.546031]
pca: [[0.509224, 0.055784, -0.164329, 0.012312, 0.655564, -0.529772, 0.000000, 0.000000, 0.000000, 0.000000], [0.607066, -0.126053, -0.212329, 0.063403, 0.088743, 0.747397, 0.000000, 0.000000, 0.000000, 0.000000], [0.008470, 0.322055, 0.568456, 0.720606, 0.195643, 0.124570, 0.000000, 0.000000, 0.000000, 0.000000], [-0.442721, -0.446656, -0.502460, 0.509592, 0.297286, 0.062993, 0.000000, 0.000000, 0.000000, 0.000000], [-0.171821, -0.525442, 0.554903, -0.360705, 0.472043, 0.183135, 0.000000, 0.000000, 0.000000, 0.000000], [-0.382837, 0.633789, -0.210684, -0.294557, 0.461390, 0.328199, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[56.816270, 58.364327, 60.330639, 63.765130, 307.264944], [66.664131, 69.017452, 71.632075, 75.077462, 335.990119], [6.363185, 6.788880, 7.210707, 8.151925, 9.124004], [49.598540, 53.606610, 53.723522, 56.479676, 279.442395], [18.179998, 18.918718, 19.274911, 22.350761, 26.165526], [42.049089, 42.474299, 42.625633, 47.220437, 245.842514]]
### 4
mean: [0.234029, 0.014448, 3.678456, -3.496480, -0.344598, 5.626873]
std: [0.113319, 1.074032, 2.941028, 2.829155, 0.632700, 6.361058]
pca: [[-0.010710, 0.158635, -0.569475, 0.442538, -0.274249, -0.615926, 0.000000, 0.000000, 0.000000, 0.000000], [-0.135082, 0.725630, 0.604647, 0.130398, -0.016007, -0.268991, 0.000000, 0.000000, 0.000000, 0.000000], [0.383944, 0.378797, -0.301670, 0.241189, 0.713529, 0.225388, 0.000000, 0.000000, 0.000000, 0.000000], [-0.369114, -0.434751, 0.290340, 0.697884, 0.321192, -0.015588, 0.000000, 0.000000, 0.000000, 0.000000], [-0.081570, 0.257263, -0.118633, 0.413797, -0.503462, 0.698847, 0.000000, 0.000000, 0.000000, 0.000000], [0.831460, -0.222747, 0.347454, 0.265922, -0.242424, -0.094073, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1.857137, 2.024558, 2.209853, 2.407800, 21.062621], [16.581828, 18.024122, 18.046801, 18.912901, 21.964643], [49.990337, 50.864151, 52.472333, 54.533219, 331.061053], [48.318585, 48.592734, 50.051429, 51.611274, 314.683161], [10.582828, 10.757540, 11.331661, 12.235178, 31.013862], [106.131225, 111.797203, 111.902935, 120.446614, 506.418546]]
### 6
mean: [6.896703, 5.145191, -0.986195, -0.932791, -0.651385, -0.736956]
std: [7.482508, 6.197142, 2.340636, 1.276307, 2.522985, 1.609642]
pca: [[0.712219, 0.322966, -0.327815, -0.230386, 0.334696, -0.340405, 0.000000, 0.000000, 0.000000, 0.000000], [0.589910, 0.139710, 0.203052, 0.395076, -0.351608, 0.558162, 0.000000, 0.000000, 0.000000, 0.000000], [-0.222545, 0.327125, -0.456385, -0.391864, 0.133757, 0.680975, 0.000000, 0.000000, 0.000000, 0.000000], [-0.120663, 0.422595, 0.599040, 0.138644, 0.645149, 0.112097, 0.000000, 0.000000, 0.000000, 0.000000], [-0.239254, 0.767810, -0.011892, 0.082765, -0.500742, -0.309016, 0.000000, 0.000000, 0.000000, 0.000000], [-0.153045, 0.032312, -0.532945, 0.781798, 0.281957, -0.028214, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[125.802407, 130.312015, 132.730574, 140.965814, 620.703194], [104.535269, 106.437344, 109.959761, 116.427335, 463.067151], [39.609297, 39.912832, 41.882845, 43.897023, 88.757571], [21.493111, 22.998690, 23.175438, 24.767927, 83.951170], [42.333035, 43.101769, 45.680059, 47.913396, 58.624677], [27.334745, 27.595187, 28.662947, 29.734105, 66.326032]]
### 8
mean: [-6.046610]
std: [8.832802]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[148.992902, 154.386452, 161.979780, 164.772680, 544.194963]]
## 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: 4
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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],
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[
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[
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[
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],
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[
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[
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],
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"network.8.weight": [
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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [-1.470869, -1.657036, 2.418484, 3.609330, -1.020213, 1.842749]
std: [1.803536, 1.410741, 2.578029, 3.071108, 1.546870, 2.543998]
pca: [[-0.283644, 0.460631, -0.422401, -0.098985, 0.702484, 0.160189, 0.000000, 0.000000, 0.000000, 0.000000], [-0.254102, 0.093424, 0.001863, 0.910226, -0.102040, 0.296272, 0.000000, 0.000000, 0.000000, 0.000000], [0.513055, -0.058026, 0.500514, 0.269510, 0.620429, -0.159143, 0.000000, 0.000000, 0.000000, 0.000000], [0.613363, -0.261355, -0.487717, 0.015629, -0.000489, 0.563353, 0.000000, 0.000000, 0.000000, 0.000000], [-0.133232, -0.592364, -0.482059, 0.227417, 0.202967, -0.553226, 0.000000, 0.000000, 0.000000, 0.000000], [0.444735, 0.597095, -0.317507, 0.192593, -0.264530, -0.487657, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.808806, 29.182214, 31.846991, 41.031443, 132.378179], [23.669642, 25.484072, 25.627831, 28.165394, 149.133257], [41.308939, 42.849715, 45.325476, 46.492564, 217.663536], [51.646420, 52.361302, 61.211939, 61.460395, 324.839709], [26.183276, 27.417192, 34.967040, 35.129915, 91.819147], [39.007767, 40.455217, 40.868743, 40.974707, 165.847367]]
### 2
mean: [3.414055, 3.733224, -0.101378, -3.104915, -0.142047, -2.731584]
std: [3.345903, 3.988501, 0.407770, 2.934889, 1.215243, 2.546031]
pca: [[0.509224, 0.055784, -0.164329, 0.012312, 0.655564, -0.529772, 0.000000, 0.000000, 0.000000, 0.000000], [0.607066, -0.126053, -0.212329, 0.063403, 0.088743, 0.747397, 0.000000, 0.000000, 0.000000, 0.000000], [0.008470, 0.322055, 0.568456, 0.720606, 0.195643, 0.124570, 0.000000, 0.000000, 0.000000, 0.000000], [-0.442721, -0.446656, -0.502460, 0.509592, 0.297286, 0.062993, 0.000000, 0.000000, 0.000000, 0.000000], [-0.171821, -0.525442, 0.554903, -0.360705, 0.472043, 0.183135, 0.000000, 0.000000, 0.000000, 0.000000], [-0.382837, 0.633789, -0.210684, -0.294557, 0.461390, 0.328199, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[56.816270, 58.364327, 60.330639, 63.765130, 307.264944], [66.664131, 69.017452, 71.632075, 75.077462, 335.990119], [6.363185, 6.788880, 7.210707, 8.151925, 9.124004], [49.598540, 53.606610, 53.723522, 56.479676, 279.442395], [18.179998, 18.918718, 19.274911, 22.350761, 26.165526], [42.049089, 42.474299, 42.625633, 47.220437, 245.842514]]
### 4
mean: [0.234029, 0.014448, 3.678456, -3.496480, -0.344598, 5.626873]
std: [0.113319, 1.074032, 2.941028, 2.829155, 0.632700, 6.361058]
pca: [[-0.010710, 0.158635, -0.569475, 0.442538, -0.274249, -0.615926, 0.000000, 0.000000, 0.000000, 0.000000], [-0.135082, 0.725630, 0.604647, 0.130398, -0.016007, -0.268991, 0.000000, 0.000000, 0.000000, 0.000000], [0.383944, 0.378797, -0.301670, 0.241189, 0.713529, 0.225388, 0.000000, 0.000000, 0.000000, 0.000000], [-0.369114, -0.434751, 0.290340, 0.697884, 0.321192, -0.015588, 0.000000, 0.000000, 0.000000, 0.000000], [-0.081570, 0.257263, -0.118633, 0.413797, -0.503462, 0.698847, 0.000000, 0.000000, 0.000000, 0.000000], [0.831460, -0.222747, 0.347454, 0.265922, -0.242424, -0.094073, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1.857137, 2.024558, 2.209853, 2.407800, 21.062621], [16.581828, 18.024122, 18.046801, 18.912901, 21.964643], [49.990337, 50.864151, 52.472333, 54.533219, 331.061053], [48.318585, 48.592734, 50.051429, 51.611274, 314.683161], [10.582828, 10.757540, 11.331661, 12.235178, 31.013862], [106.131225, 111.797203, 111.902935, 120.446614, 506.418546]]
### 6
mean: [6.896703, 5.145191, -0.986195, -0.932791, -0.651385, -0.736956]
std: [7.482508, 6.197142, 2.340636, 1.276307, 2.522985, 1.609642]
pca: [[0.712219, 0.322966, -0.327815, -0.230386, 0.334696, -0.340405, 0.000000, 0.000000, 0.000000, 0.000000], [0.589910, 0.139710, 0.203052, 0.395076, -0.351608, 0.558162, 0.000000, 0.000000, 0.000000, 0.000000], [-0.222545, 0.327125, -0.456385, -0.391864, 0.133757, 0.680975, 0.000000, 0.000000, 0.000000, 0.000000], [-0.120663, 0.422595, 0.599040, 0.138644, 0.645149, 0.112097, 0.000000, 0.000000, 0.000000, 0.000000], [-0.239254, 0.767810, -0.011892, 0.082765, -0.500742, -0.309016, 0.000000, 0.000000, 0.000000, 0.000000], [-0.153045, 0.032312, -0.532945, 0.781798, 0.281957, -0.028214, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[125.802407, 130.312015, 132.730574, 140.965814, 620.703194], [104.535269, 106.437344, 109.959761, 116.427335, 463.067151], [39.609297, 39.912832, 41.882845, 43.897023, 88.757571], [21.493111, 22.998690, 23.175438, 24.767927, 83.951170], [42.333035, 43.101769, 45.680059, 47.913396, 58.624677], [27.334745, 27.595187, 28.662947, 29.734105, 66.326032]]
### 8
mean: [-6.046610]
std: [8.832802]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[148.992902, 154.386452, 161.979780, 164.772680, 544.194963]]
## 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
|
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"5": {"mean": -0.7369559407234192, "std": 1.6096419095993042, "pca": [-0.15304498374462128, 0.03231196850538254, -0.5329446196556091, 0.7817975878715515, 0.28195706009864807, -0.028213609009981155, 0.0, 0.0, 0.0, 0.0], "fourier": [27.334744534398197, 27.595187083826758, 28.662947453171697, 29.734105217116667, 66.3260323703289]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -6.046610355377197, "std": 8.832801818847656, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [148.99290212573402, 154.38645239471404, 161.97978008693065, 164.77268032481317, 544.1949630975723]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "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": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.304099, -0.340316, -0.512853, 0.387332, -0.162322], [-0.247482, -0.348452, -0.129897, -0.039104, -0.423875], [0.728854, 0.703614, 0.351886, 0.043794, -0.057997], [1.158217, 0.174632, 0.441575, 0.189435, 0.292252], [-0.228849, -0.642788, 0.595197, -0.001645, 0.014619], [1.109516, 0.377847, -0.527326, 0.309892, 0.029116]], "network.0.bias": [-0.031426, 0.163873, -0.528109, 0.160696, -0.821922, 0.174566], "network.2.weight": [[0.543177, -0.364374, 0.595662, 0.267399, 0.611909, 0.500327], [0.341657, -0.315077, 0.751684, 0.323814, 0.743477, 0.536383], [-0.096947, 0.411297, -0.115961, 0.066703, -0.57133, 0.081142], [0.090018, 0.565843, -0.138151, -0.42622, -0.159358, -0.609435], [-0.157452, -0.436741, -0.25016, 0.201685, -0.753237, -0.498333], [0.210976, 0.285908, -0.5429, -0.360588, -0.029949, -0.049522]], "network.2.bias": [-0.107337, -0.443085, -0.109255, 0.005729, 0.81424, -0.021558], "network.4.weight": [[0.244541, -0.203447, -0.478108, -0.067822, 0.223895, -0.561236], [-0.069993, -0.121682, 0.159348, -0.846039, 0.975971, -0.69518], [0.512032, 0.332289, -0.495892, -0.265889, 0.179232, -0.749503], [-0.484394, -0.335168, 0.745655, 0.385095, -0.303576, 0.28716], [0.097323, -0.206808, -0.109351, -0.483352, 0.366789, -0.322254], [0.730464, 0.916621, 0.139926, 0.764277, -0.86812, 0.225039]], "network.4.bias": [0.072572, 0.344564, 0.599765, -0.481364, -0.046509, 0.02351], "network.6.weight": [[-0.3778, -0.758834, 0.5558, 0.422647, -0.007743, 0.87693], [0.24696, -0.526687, 0.006606, 0.264312, -0.191233, 0.950325], [-0.101815, 0.325792, 0.520751, -0.629563, -0.304439, -0.600594], [0.082715, 0.469819, -0.057022, -0.573727, 0.070738, -0.140293], [0.119871, 0.597968, 0.551404, -1.12185, -0.132257, -0.618027], [0.341808, -0.010294, 0.314693, -0.738275, -0.182364, -0.400262]], "network.6.bias": [0.211507, -0.145958, 0.417582, -0.128496, 0.590849, 0.319046], "network.8.weight": [[-0.600099, -0.598848, 0.459654, 0.158177, 0.862384, 0.25496]], "network.8.bias": [0.550743]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7300606966018677, "train_acc": 0.42, "val_loss": 0.6812814474105835, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.687242329120636, "train_acc": 0.44, "val_loss": 0.6700646877288818, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6249876320362091, "train_acc": 0.58, "val_loss": 0.6548647284507751, "val_acc": 0.44}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.560536801815033, "train_acc": 0.58, "val_loss": 0.5233376026153564, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.4757445752620697, "train_acc": 0.615, "val_loss": 0.37054917216300964, "val_acc": 0.94}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.35440684854984283, "train_acc": 0.905, "val_loss": 0.2540881037712097, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.23629803955554962, "train_acc": 0.935, "val_loss": 0.13591794669628143, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.2306608036160469, "train_acc": 0.9, "val_loss": 0.07385896891355515, "val_acc": 0.98}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.17985223233699799, "train_acc": 0.945, "val_loss": 0.05110554397106171, "val_acc": 1.0}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.17822372168302536, "train_acc": 0.95, "val_loss": 0.05600486695766449, "val_acc": 1.0}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.12771810218691826, "train_acc": 0.965, "val_loss": 0.14088553190231323, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.16971401125192642, "train_acc": 0.935, "val_loss": 0.049657680094242096, "val_acc": 1.0}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.1127704605460167, "train_acc": 0.975, "val_loss": 0.12426729500293732, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.12017872929573059, "train_acc": 0.965, "val_loss": 0.054343342781066895, "val_acc": 1.0}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6812814474105835, "final_val_loss": 0.5233376026153564, "initial_val_acc": 0.56, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.37054917216300964, "final_val_loss": 0.054343342781066895, "initial_val_acc": 0.94, "final_val_acc": 1.0, "best_val_acc": 1.0, "best_epoch": 8}, "improvement": 0.56, "first_improvement_epoch": 3}}
|
9,467
|
{"target_pattern": "has_majority", "degraded_accuracy": 0.66, "improved_accuracy": 0.82, "improvement": 0.15999999999999992, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8062, "learning_rate": 0.07795580241019275, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "has_majority", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["has_majority"], "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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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],
[
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],
[
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],
[
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],
[
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],
[
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],
[
-0.544501,
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],
[
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]
],
"network.0.bias": [
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],
"network.2.weight": [
[
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[
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[
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[
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}
## Activation Signature
### 0
mean: [2.198335, -1.676159, -1.252000, 3.313320, -1.058120, -1.201092, -4.808066, -2.349954]
std: [1.484411, 2.258023, 2.499769, 1.998425, 2.479285, 1.602662, 2.918259, 1.408297]
pca: [[-0.323920, -0.002082, -0.114688, -0.129598, 0.494782, 0.698125, -0.194296, 0.308519, 0.000000, 0.000000], [0.349697, -0.219482, 0.609868, 0.238815, 0.252337, 0.363397, 0.258711, -0.371355, 0.000000, 0.000000], [0.296645, 0.607950, 0.504210, -0.242703, -0.106986, 0.024028, -0.367316, 0.286918, 0.000000, 0.000000], [-0.401125, 0.246663, 0.270731, -0.137289, -0.007081, -0.075515, 0.771566, 0.291627, 0.000000, 0.000000], [0.228447, 0.611620, -0.388259, 0.584133, 0.173056, 0.106502, 0.194664, -0.050914, 0.000000, 0.000000], [0.126942, -0.353187, 0.149524, 0.538937, -0.039111, -0.127711, -0.064222, 0.724134, 0.000000, 0.000000], [0.614499, -0.144558, -0.332147, -0.388746, -0.241178, 0.313545, 0.346039, 0.252641, 0.000000, 0.000000], [0.279244, -0.040762, -0.062933, -0.256186, 0.768360, -0.498318, 0.057622, 0.093553, 0.000000, 0.000000]]
fourier: [[25.116857, 25.482571, 26.784590, 28.118289, 197.850189], [33.749702, 34.806366, 40.397563, 43.417968, 150.854300], [36.029826, 39.689033, 43.283942, 47.831742, 112.679970], [29.934505, 31.433661, 32.140088, 37.060714, 298.198777], [34.776088, 38.842061, 39.553829, 43.722487, 95.230827], [23.836708, 24.373389, 25.554366, 31.407724, 108.098285], [43.380664, 47.815809, 50.477514, 61.017349, 432.725954], [25.189809, 25.464601, 25.797377, 27.831765, 211.495811]]
### 2
mean: [0.822545, -3.669514, -2.819675, 0.412088, 0.689244, 0.703996, -2.149132, 1.338382]
std: [0.844741, 1.601370, 1.969535, 1.169272, 1.202823, 1.431301, 1.848029, 1.684527]
pca: [[-0.209979, -0.126715, -0.047637, -0.229299, -0.374155, -0.364934, 0.560116, -0.545991, 0.000000, 0.000000], [0.384424, -0.195645, 0.806570, 0.282143, 0.142668, -0.107872, 0.195623, -0.116283, 0.000000, 0.000000], [0.479934, -0.410294, -0.271577, -0.230261, -0.040469, -0.256459, 0.315978, 0.554344, 0.000000, 0.000000], [0.142391, 0.552277, -0.204047, 0.643688, -0.190561, -0.315945, 0.242197, 0.154762, 0.000000, 0.000000], [0.180153, 0.550458, 0.006288, -0.433477, 0.572224, 0.065443, 0.374675, -0.067044, 0.000000, 0.000000], [-0.342522, -0.310136, -0.194962, 0.276341, 0.674235, -0.461124, -0.017966, -0.067597, 0.000000, 0.000000], [0.466739, -0.223986, -0.436434, 0.289113, 0.132024, 0.425382, 0.080515, -0.503052, 0.000000, 0.000000], [-0.435768, -0.151516, 0.057106, 0.229368, 0.047322, 0.540117, 0.585076, 0.308218, 0.000000, 0.000000]]
fourier: [[12.585468, 13.327739, 13.750093, 18.383983, 74.029090], [23.788458, 24.981994, 29.605577, 31.120837, 330.256246], [29.959015, 30.535281, 31.708077, 36.245070, 253.770765], [17.400340, 18.765981, 21.233675, 24.294413, 37.087885], [17.329314, 18.318053, 19.752855, 24.810222, 62.032001], [21.882597, 23.423162, 27.714831, 28.190924, 63.359606], [30.447382, 30.679804, 32.958411, 34.017222, 193.421904], [25.488286, 26.794733, 31.906150, 33.956428, 120.454409]]
### 4
mean: [-0.521521, 0.595659, -0.480086, 1.112306, 0.404479, -0.650263, -1.334336, 1.227438]
std: [0.289523, 1.547960, 0.204627, 1.696559, 1.122818, 0.576420, 0.942170, 2.017893]
pca: [[-0.030213, -0.186694, -0.387838, -0.423060, 0.706343, -0.013314, -0.000362, 0.368425, 0.000000, 0.000000], [0.477769, -0.023885, 0.178611, -0.258633, -0.402598, 0.126228, 0.108769, 0.694640, 0.000000, 0.000000], [-0.024608, -0.147580, 0.038662, -0.473000, -0.089718, 0.770340, 0.083879, -0.379318, 0.000000, 0.000000], [-0.476067, 0.614224, -0.234405, -0.298945, -0.227150, -0.085310, 0.423881, 0.115001, 0.000000, 0.000000], [-0.333987, 0.180459, 0.578714, 0.321505, 0.375048, 0.391500, 0.098339, 0.337650, 0.000000, 0.000000], [-0.109452, -0.349115, -0.527825, 0.528322, -0.160810, 0.310461, 0.389775, 0.185053, 0.000000, 0.000000], [-0.210817, -0.551572, 0.384088, -0.204936, -0.027723, -0.365313, 0.565651, -0.087285, 0.000000, 0.000000], [0.612868, 0.326872, 0.014343, 0.128622, 0.334752, 0.008737, 0.565599, -0.262222, 0.000000, 0.000000]]
fourier: [[4.853588, 4.860028, 5.001103, 5.377936, 46.936863], [23.200209, 28.156741, 28.328859, 32.815490, 53.609340], [3.407037, 3.471823, 3.636088, 3.901124, 43.207702], [24.880530, 25.562265, 32.329221, 36.387471, 100.107564], [16.047844, 19.073945, 20.367891, 23.401033, 36.403102], [8.341965, 9.933880, 10.796250, 11.935101, 58.523709], [16.009828, 16.142859, 16.733904, 17.806384, 120.090221], [31.067953, 32.220347, 38.710928, 42.741556, 110.469469]]
### 6
mean: [0.434402, 0.844386, 0.701672, -1.867670, 1.154603, -1.543702, 0.570091, -1.135877]
std: [2.247033, 0.827618, 1.963461, 1.480341, 1.427175, 0.603376, 2.003309, 0.543383]
pca: [[0.546389, 0.011248, 0.363344, 0.355802, -0.280889, 0.105627, 0.296829, 0.514350, 0.000000, 0.000000], [0.180394, -0.288242, 0.383019, 0.458295, 0.543312, -0.163522, 0.018277, -0.453184, 0.000000, 0.000000], [-0.476547, -0.099643, 0.268368, 0.214055, -0.303026, 0.647703, 0.246663, -0.270086, 0.000000, 0.000000], [-0.314065, 0.580317, -0.012599, 0.113047, 0.372836, -0.169864, 0.602984, 0.142149, 0.000000, 0.000000], [-0.319584, -0.443804, 0.347312, -0.339760, 0.395968, 0.085717, -0.018268, 0.548060, 0.000000, 0.000000], [0.060765, 0.428283, 0.709988, -0.436365, -0.142603, -0.129596, -0.180147, -0.220906, 0.000000, 0.000000], [-0.487187, -0.024170, 0.155597, 0.456336, -0.333792, -0.536431, -0.303624, 0.195573, 0.000000, 0.000000], [0.002280, 0.434880, -0.013359, 0.301126, 0.326402, 0.449254, -0.601791, 0.222482, 0.000000, 0.000000]]
fourier: [[33.720110, 39.096179, 39.303291, 42.847458, 48.239504], [12.075202, 14.101521, 15.518117, 18.234825, 75.994704], [29.179377, 36.176408, 36.903170, 41.446833, 63.150487], [21.636880, 25.667257, 26.834988, 33.283438, 168.090257], [20.559453, 22.973968, 28.917295, 30.457361, 103.914272], [10.722718, 10.778101, 10.810026, 10.917419, 138.933127], [29.755084, 35.639111, 38.401530, 41.918930, 51.308227], [7.671093, 8.998384, 10.517537, 12.245095, 102.228889]]
### 8
mean: [-0.311301]
std: [2.589095]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.567060, 37.750835, 46.533488, 49.906434, 57.758978]]
## 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.
|
has_majority
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
"network.8.bias": [
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}
## Activation Signature
### 0
mean: [2.198335, -1.676159, -1.252000, 3.313320, -1.058120, -1.201092, -4.808066, -2.349954]
std: [1.484411, 2.258023, 2.499769, 1.998425, 2.479285, 1.602662, 2.918259, 1.408297]
pca: [[-0.323920, -0.002082, -0.114688, -0.129598, 0.494782, 0.698125, -0.194296, 0.308519, 0.000000, 0.000000], [0.349697, -0.219482, 0.609868, 0.238815, 0.252337, 0.363397, 0.258711, -0.371355, 0.000000, 0.000000], [0.296645, 0.607950, 0.504210, -0.242703, -0.106986, 0.024028, -0.367316, 0.286918, 0.000000, 0.000000], [-0.401125, 0.246663, 0.270731, -0.137289, -0.007081, -0.075515, 0.771566, 0.291627, 0.000000, 0.000000], [0.228447, 0.611620, -0.388259, 0.584133, 0.173056, 0.106502, 0.194664, -0.050914, 0.000000, 0.000000], [0.126942, -0.353187, 0.149524, 0.538937, -0.039111, -0.127711, -0.064222, 0.724134, 0.000000, 0.000000], [0.614499, -0.144558, -0.332147, -0.388746, -0.241178, 0.313545, 0.346039, 0.252641, 0.000000, 0.000000], [0.279244, -0.040762, -0.062933, -0.256186, 0.768360, -0.498318, 0.057622, 0.093553, 0.000000, 0.000000]]
fourier: [[25.116857, 25.482571, 26.784590, 28.118289, 197.850189], [33.749702, 34.806366, 40.397563, 43.417968, 150.854300], [36.029826, 39.689033, 43.283942, 47.831742, 112.679970], [29.934505, 31.433661, 32.140088, 37.060714, 298.198777], [34.776088, 38.842061, 39.553829, 43.722487, 95.230827], [23.836708, 24.373389, 25.554366, 31.407724, 108.098285], [43.380664, 47.815809, 50.477514, 61.017349, 432.725954], [25.189809, 25.464601, 25.797377, 27.831765, 211.495811]]
### 2
mean: [0.822545, -3.669514, -2.819675, 0.412088, 0.689244, 0.703996, -2.149132, 1.338382]
std: [0.844741, 1.601370, 1.969535, 1.169272, 1.202823, 1.431301, 1.848029, 1.684527]
pca: [[-0.209979, -0.126715, -0.047637, -0.229299, -0.374155, -0.364934, 0.560116, -0.545991, 0.000000, 0.000000], [0.384424, -0.195645, 0.806570, 0.282143, 0.142668, -0.107872, 0.195623, -0.116283, 0.000000, 0.000000], [0.479934, -0.410294, -0.271577, -0.230261, -0.040469, -0.256459, 0.315978, 0.554344, 0.000000, 0.000000], [0.142391, 0.552277, -0.204047, 0.643688, -0.190561, -0.315945, 0.242197, 0.154762, 0.000000, 0.000000], [0.180153, 0.550458, 0.006288, -0.433477, 0.572224, 0.065443, 0.374675, -0.067044, 0.000000, 0.000000], [-0.342522, -0.310136, -0.194962, 0.276341, 0.674235, -0.461124, -0.017966, -0.067597, 0.000000, 0.000000], [0.466739, -0.223986, -0.436434, 0.289113, 0.132024, 0.425382, 0.080515, -0.503052, 0.000000, 0.000000], [-0.435768, -0.151516, 0.057106, 0.229368, 0.047322, 0.540117, 0.585076, 0.308218, 0.000000, 0.000000]]
fourier: [[12.585468, 13.327739, 13.750093, 18.383983, 74.029090], [23.788458, 24.981994, 29.605577, 31.120837, 330.256246], [29.959015, 30.535281, 31.708077, 36.245070, 253.770765], [17.400340, 18.765981, 21.233675, 24.294413, 37.087885], [17.329314, 18.318053, 19.752855, 24.810222, 62.032001], [21.882597, 23.423162, 27.714831, 28.190924, 63.359606], [30.447382, 30.679804, 32.958411, 34.017222, 193.421904], [25.488286, 26.794733, 31.906150, 33.956428, 120.454409]]
### 4
mean: [-0.521521, 0.595659, -0.480086, 1.112306, 0.404479, -0.650263, -1.334336, 1.227438]
std: [0.289523, 1.547960, 0.204627, 1.696559, 1.122818, 0.576420, 0.942170, 2.017893]
pca: [[-0.030213, -0.186694, -0.387838, -0.423060, 0.706343, -0.013314, -0.000362, 0.368425, 0.000000, 0.000000], [0.477769, -0.023885, 0.178611, -0.258633, -0.402598, 0.126228, 0.108769, 0.694640, 0.000000, 0.000000], [-0.024608, -0.147580, 0.038662, -0.473000, -0.089718, 0.770340, 0.083879, -0.379318, 0.000000, 0.000000], [-0.476067, 0.614224, -0.234405, -0.298945, -0.227150, -0.085310, 0.423881, 0.115001, 0.000000, 0.000000], [-0.333987, 0.180459, 0.578714, 0.321505, 0.375048, 0.391500, 0.098339, 0.337650, 0.000000, 0.000000], [-0.109452, -0.349115, -0.527825, 0.528322, -0.160810, 0.310461, 0.389775, 0.185053, 0.000000, 0.000000], [-0.210817, -0.551572, 0.384088, -0.204936, -0.027723, -0.365313, 0.565651, -0.087285, 0.000000, 0.000000], [0.612868, 0.326872, 0.014343, 0.128622, 0.334752, 0.008737, 0.565599, -0.262222, 0.000000, 0.000000]]
fourier: [[4.853588, 4.860028, 5.001103, 5.377936, 46.936863], [23.200209, 28.156741, 28.328859, 32.815490, 53.609340], [3.407037, 3.471823, 3.636088, 3.901124, 43.207702], [24.880530, 25.562265, 32.329221, 36.387471, 100.107564], [16.047844, 19.073945, 20.367891, 23.401033, 36.403102], [8.341965, 9.933880, 10.796250, 11.935101, 58.523709], [16.009828, 16.142859, 16.733904, 17.806384, 120.090221], [31.067953, 32.220347, 38.710928, 42.741556, 110.469469]]
### 6
mean: [0.434402, 0.844386, 0.701672, -1.867670, 1.154603, -1.543702, 0.570091, -1.135877]
std: [2.247033, 0.827618, 1.963461, 1.480341, 1.427175, 0.603376, 2.003309, 0.543383]
pca: [[0.546389, 0.011248, 0.363344, 0.355802, -0.280889, 0.105627, 0.296829, 0.514350, 0.000000, 0.000000], [0.180394, -0.288242, 0.383019, 0.458295, 0.543312, -0.163522, 0.018277, -0.453184, 0.000000, 0.000000], [-0.476547, -0.099643, 0.268368, 0.214055, -0.303026, 0.647703, 0.246663, -0.270086, 0.000000, 0.000000], [-0.314065, 0.580317, -0.012599, 0.113047, 0.372836, -0.169864, 0.602984, 0.142149, 0.000000, 0.000000], [-0.319584, -0.443804, 0.347312, -0.339760, 0.395968, 0.085717, -0.018268, 0.548060, 0.000000, 0.000000], [0.060765, 0.428283, 0.709988, -0.436365, -0.142603, -0.129596, -0.180147, -0.220906, 0.000000, 0.000000], [-0.487187, -0.024170, 0.155597, 0.456336, -0.333792, -0.536431, -0.303624, 0.195573, 0.000000, 0.000000], [0.002280, 0.434880, -0.013359, 0.301126, 0.326402, 0.449254, -0.601791, 0.222482, 0.000000, 0.000000]]
fourier: [[33.720110, 39.096179, 39.303291, 42.847458, 48.239504], [12.075202, 14.101521, 15.518117, 18.234825, 75.994704], [29.179377, 36.176408, 36.903170, 41.446833, 63.150487], [21.636880, 25.667257, 26.834988, 33.283438, 168.090257], [20.559453, 22.973968, 28.917295, 30.457361, 103.914272], [10.722718, 10.778101, 10.810026, 10.917419, 138.933127], [29.755084, 35.639111, 38.401530, 41.918930, 51.308227], [7.671093, 8.998384, 10.517537, 12.245095, 102.228889]]
### 8
mean: [-0.311301]
std: [2.589095]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.567060, 37.750835, 46.533488, 49.906434, 57.758978]]
## 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.
has_majority
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.052008, 0.543456, 0.354001, 0.223283, -0.022609], [0.702936, -0.940323, -0.773288, 0.192204, 0.006916], [0.481163, -1.293629, 0.502836, -0.045925, -0.616033], [0.265458, 0.004923, 0.776713, 0.458628, 0.000326], [-0.071819, 0.101783, 0.239229, -1.20568, 0.107757], [0.2706, -0.027974, -0.775832, -0.09054, 0.523142], [-0.544501, -0.403099, -0.646731, -0.409744, -0.550476], [-0.004581, -0.212199, -0.318399, -0.11103, -0.513789]], "network.0.bias": [0.082358, 0.357167, 0.314389, 0.36763, 0.798674, -0.317288, -0.487385, -0.420708], "network.2.weight": [[0.133012, -0.287968, -0.606922, 0.259172, -0.040253, -0.058453, 0.414176, -0.03973], [-0.661145, -0.70576, 0.287861, -0.426511, -0.244697, -0.078675, 0.000168, -0.074316], [-0.271954, 0.827978, -0.284965, -0.673381, 0.351628, 0.476832, 0.121354, -0.325249], [-0.220408, 0.662971, 1.170152, 0.07867, 0.110803, 0.245826, -0.008371, -0.135724], [0.152469, 0.705169, 0.871478, -0.241166, 0.940104, -0.339646, -0.252178, 0.238239], [0.34463, -0.247084, -0.511957, 0.260064, -0.866702, -0.245208, 0.059683, -0.057462], [-0.254227, 1.034074, 0.307854, -0.613868, 0.052659, 0.663917, 0.359181, -0.137418], [0.279744, -0.811405, -0.4619, 0.472508, -0.751304, -0.158431, 0.357302, 0.057583]], "network.2.bias": [0.014148, -0.615759, -0.323064, -0.086782, 0.179003, -0.145526, -0.042205, -0.03984], "network.4.weight": [[0.173749, -0.345798, -0.301881, 0.163184, -0.369052, 0.057638, 0.259015, -0.345035], [0.13212, -0.125117, -0.169465, -0.411548, -0.343118, 0.33141, -0.578213, 0.312816], [0.00894, -0.345756, -0.194951, 0.043196, -0.194264, -0.125992, -0.196458, -0.097345], [-0.151767, 0.311113, 0.31989, 0.927822, 0.563489, -0.112546, 0.463516, -0.019404], [0.240079, 0.345543, 0.028061, 0.252972, 0.540247, -0.433212, -0.076508, -0.101172], [-0.492756, 0.23206, 0.646675, -0.198148, -0.140513, -0.194245, 0.46394, -0.01918], [0.009318, 0.453473, 0.098258, -0.225016, -0.108897, -0.20991, -0.455393, -0.601465], [0.472906, 0.134862, 0.008994, -0.255723, -0.266564, 0.4669, -0.299857, 0.532498]], "network.4.bias": [-0.023471, 0.282827, -0.053662, 0.281536, 0.174852, 0.188795, 0.053897, -0.048332], "network.6.weight": [[-0.103994, -0.367832, 0.007469, 0.618713, 0.30804, 0.597261, -0.098243, -0.48077], [0.167809, -0.187432, -0.131003, 0.523272, -0.02929, 0.192049, -0.183665, 0.126789], [-0.176598, 0.399139, 0.038528, -0.294834, -0.609473, -0.231982, -0.02294, 0.43308], [-0.190975, -0.120832, 0.238478, -0.742736, -0.457854, -0.287174, 0.103819, -0.032504], [0.061871, 0.471462, -0.174656, 0.179923, -0.479694, -0.533808, 0.192029, 0.480969], [-0.449354, 0.071835, -0.321341, -0.010169, -0.547514, -0.279478, 0.215943, -0.51924], [0.182359, 0.321965, -0.205172, -0.413274, -0.539617, -0.180198, -0.232481, 0.436414], [-0.268949, -0.342842, 0.120763, -0.337897, -0.106797, 0.108223, 0.213913, -0.1677]], "network.6.bias": [0.554103, 0.210688, 0.426411, -0.484755, 0.081967, -0.425395, 0.455339, -0.067565], "network.8.weight": [[0.561378, 0.27719, -0.488474, 0.022318, -0.352069, -0.135472, -0.460887, -0.064928]], "network.8.bias": [0.356995]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7134568095207214, "train_acc": 0.555, "val_loss": 0.6766467094421387, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.664874792098999, "train_acc": 0.595, "val_loss": 0.6252098083496094, "val_acc": 0.66}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.597022533416748, "train_acc": 0.71, "val_loss": 0.8236148357391357, "val_acc": 0.68}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6089623272418976, "train_acc": 0.73, "val_loss": 0.5791617035865784, "val_acc": 0.66}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5179798305034637, "train_acc": 0.765, "val_loss": 0.5315017700195312, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.47633370757102966, "train_acc": 0.795, "val_loss": 0.490732878446579, "val_acc": 0.74}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.4344695955514908, "train_acc": 0.825, "val_loss": 0.43436896800994873, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.38222481310367584, "train_acc": 0.82, "val_loss": 0.38306725025177, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.35292573273181915, "train_acc": 0.84, "val_loss": 0.3873688578605652, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.34205392003059387, "train_acc": 0.845, "val_loss": 0.3699217140674591, "val_acc": 0.82}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.3591046780347824, "train_acc": 0.84, "val_loss": 0.3716326057910919, "val_acc": 0.82}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.3203750401735306, "train_acc": 0.845, "val_loss": 0.3969387412071228, "val_acc": 0.82}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["has_majority"], "degraded_stage": {"initial_val_loss": 0.6766467094421387, "final_val_loss": 0.6252098083496094, "initial_val_acc": 0.56, "final_val_acc": 0.66, "best_val_acc": 0.66}, "improved_stage": {"initial_val_loss": 0.8236148357391357, "final_val_loss": 0.3969387412071228, "initial_val_acc": 0.68, "final_val_acc": 0.82, "best_val_acc": 0.82, "best_epoch": 8}, "improvement": 0.15999999999999992, "first_improvement_epoch": 1}}
|
9,468
|
{"target_pattern": "alternating", "degraded_accuracy": 0.78, "improved_accuracy": 1.0, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8099, "learning_rate": 0.018757619768032113, "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: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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-0.063793,
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-0.461988,
-0.455353,
-0.242666,
-0.677332,
-0.657191,
0.429756
]
],
"network.6.bias": [
0.067341,
-0.211274,
-0.046855,
-0.027898,
0.201074,
0.592566,
0.048147,
0.601922
],
"network.8.weight": [
[
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0.366101,
0.664402,
0.358546,
0.401183,
-0.500458,
0.432731,
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]
],
"network.8.bias": [
-0.137004
]
}
## Activation Signature
### 0
mean: [-0.477251, -1.043996, 0.431592, 0.505611, -0.590042, -0.177811, 0.844638, -1.404282]
std: [1.046567, 1.202262, 1.285610, 1.844206, 2.219283, 1.490576, 1.321688, 1.273465]
pca: [[0.003803, -0.233598, 0.388091, 0.346952, -0.347733, 0.455002, -0.514726, 0.285552, 0.000000, 0.000000], [0.039276, 0.219429, 0.548822, -0.003509, 0.103397, -0.047329, 0.530744, 0.595374, 0.000000, 0.000000], [-0.252336, 0.001857, -0.332773, 0.680799, 0.395306, 0.357490, 0.276456, 0.040049, 0.000000, 0.000000], [-0.032548, 0.773808, -0.379931, 0.021358, -0.212754, -0.005347, -0.285624, 0.358446, 0.000000, 0.000000], [0.788722, -0.013469, -0.020749, 0.429716, 0.178364, -0.372951, -0.141820, 0.040393, 0.000000, 0.000000], [-0.429307, 0.164645, 0.366506, 0.113149, 0.520705, -0.387318, -0.462814, -0.078188, 0.000000, 0.000000], [-0.026026, -0.459422, -0.377750, -0.301755, 0.322844, -0.064873, -0.202230, 0.636529, 0.000000, 0.000000], [0.355875, 0.245238, 0.125070, -0.356587, 0.509593, 0.607938, -0.141962, -0.144873, 0.000000, 0.000000]]
fourier: [[14.188887, 16.390312, 19.616997, 22.879646, 42.952617], [18.579776, 19.652501, 19.799021, 21.160321, 93.959634], [19.113155, 20.053991, 21.486741, 24.260269, 38.843256], [29.880910, 30.380782, 31.043206, 33.096476, 45.504980], [41.246382, 41.351662, 44.555091, 44.629415, 53.103820], [22.152828, 23.547302, 25.422974, 26.069338, 30.690585], [19.909437, 21.434405, 21.564344, 22.823839, 76.017437], [19.265578, 20.287925, 21.153606, 29.202711, 126.385413]]
### 2
mean: [0.968245, 0.054162, -1.014165, -0.767373, 1.034684, -0.097201, 0.836927, 0.567403]
std: [0.685980, 0.780429, 0.937940, 1.153220, 0.942256, 0.627922, 0.779961, 0.771817]
pca: [[-0.262402, 0.407809, 0.413038, -0.122469, -0.137154, 0.059828, -0.457079, 0.589853, 0.000000, 0.000000], [0.291203, -0.517101, 0.447321, -0.080059, 0.222790, 0.584450, -0.222631, -0.022793, 0.000000, 0.000000], [0.385254, 0.548007, -0.210415, -0.254459, 0.308488, 0.440471, 0.346161, 0.182310, 0.000000, 0.000000], [0.517506, -0.087772, 0.438810, -0.276902, -0.287777, -0.454226, 0.362542, 0.186229, 0.000000, 0.000000], [-0.404306, 0.204901, 0.516552, -0.208977, 0.486096, -0.146413, 0.251686, -0.403711, 0.000000, 0.000000], [0.248491, 0.010412, 0.076702, 0.632700, 0.579329, -0.316647, -0.055303, 0.304969, 0.000000, 0.000000], [-0.342856, -0.113388, 0.187128, 0.424600, -0.246571, 0.332216, 0.634549, 0.283679, 0.000000, 0.000000], [-0.295553, -0.450924, -0.291116, -0.461414, 0.347657, -0.149778, 0.145578, 0.497165, 0.000000, 0.000000]]
fourier: [[11.431392, 11.647789, 12.141420, 15.466366, 87.142025], [11.325441, 11.650805, 12.330573, 13.762305, 16.854535], [13.473887, 14.632492, 17.219842, 19.151223, 91.274870], [17.800454, 19.063281, 20.231974, 23.858090, 69.063594], [13.627913, 15.213082, 17.088068, 19.718027, 93.121556], [8.803850, 8.977025, 9.096870, 9.426117, 9.459739], [11.222514, 13.075757, 13.906295, 17.967634, 75.323397], [10.668665, 10.996720, 11.385730, 13.485432, 51.066236]]
### 4
mean: [-0.625378, -0.904156, -0.379840, -0.452383, -0.482493, -0.474593, -0.890363, 1.641984]
std: [1.441933, 1.520901, 0.632168, 0.294829, 0.655616, 0.838441, 1.623499, 1.409252]
pca: [[0.446209, -0.009926, -0.280415, 0.590885, 0.239473, -0.300154, 0.371626, -0.295762, 0.000000, 0.000000], [0.470903, -0.052223, -0.020913, -0.563901, 0.607110, -0.105970, -0.253545, -0.114035, 0.000000, 0.000000], [0.192808, 0.211178, 0.105761, -0.456385, -0.334662, -0.422435, 0.608719, 0.194336, 0.000000, 0.000000], [0.063425, -0.403751, -0.519459, -0.266393, -0.115069, 0.566061, 0.378991, -0.121899, 0.000000, 0.000000], [0.202122, 0.114655, 0.130379, 0.201736, 0.344311, 0.361913, 0.219949, 0.768373, 0.000000, 0.000000], [0.252686, 0.366884, 0.539534, 0.010199, -0.065778, 0.503854, 0.170836, -0.472191, 0.000000, 0.000000], [0.500434, 0.392799, -0.391390, 0.034658, -0.469103, 0.107523, -0.432062, 0.150301, 0.000000, 0.000000], [-0.427566, 0.698227, -0.422641, -0.107769, 0.325418, 0.058229, 0.138546, -0.104614, 0.000000, 0.000000]]
fourier: [[19.452516, 21.866463, 27.734225, 28.967196, 56.284052], [21.571636, 22.545706, 27.514209, 28.761108, 81.374033], [9.228447, 9.332007, 10.860886, 10.972171, 34.185599], [4.411068, 4.895586, 5.437106, 6.670320, 40.714455], [9.007029, 9.684209, 11.916842, 13.534330, 43.424337], [10.942643, 13.052083, 13.889413, 16.636504, 42.713401], [22.515833, 25.558482, 28.835212, 31.404802, 80.132709], [21.040147, 23.347910, 26.287747, 27.915797, 147.778537]]
### 6
mean: [-0.577509, -0.389849, -0.360123, -0.323978, -0.312947, 0.736928, -0.331904, 1.117689]
std: [1.461269, 0.941687, 1.245313, 1.258889, 1.645923, 1.110990, 1.160346, 1.342611]
pca: [[0.400954, 0.558458, 0.285643, -0.059962, -0.611457, -0.246254, -0.038907, -0.078355, 0.000000, 0.000000], [0.258111, -0.412812, -0.276005, 0.366710, -0.392870, 0.234042, 0.015415, -0.585619, 0.000000, 0.000000], [0.342634, -0.060907, 0.233503, 0.099450, 0.132721, 0.154642, 0.867668, 0.141777, 0.000000, 0.000000], [0.346303, -0.028625, 0.436353, 0.183821, 0.135770, 0.621211, -0.445952, 0.227707, 0.000000, 0.000000], [0.452816, 0.171307, -0.003834, 0.086603, 0.648881, -0.347752, -0.140550, -0.443130, 0.000000, 0.000000], [-0.303458, 0.685821, -0.266870, 0.374719, 0.113938, 0.409259, 0.133621, -0.166132, 0.000000, 0.000000], [0.319129, 0.003474, -0.496805, 0.476345, -0.037044, -0.247019, -0.094092, 0.594290, 0.000000, 0.000000], [-0.369215, -0.116072, 0.528443, 0.665904, -0.018014, -0.354010, -0.008076, -0.042591, 0.000000, 0.000000]]
fourier: [[21.381393, 22.593985, 22.928341, 27.636704, 51.975841], [12.735979, 12.971622, 14.795970, 16.908000, 35.086451], [17.703230, 18.102251, 19.817234, 23.021130, 32.411024], [17.829576, 18.390971, 20.158073, 23.252313, 29.158062], [23.737175, 24.583059, 25.853253, 28.165212, 30.814491], [14.603131, 15.441339, 17.847714, 19.780338, 66.323546], [16.485520, 16.998168, 17.927017, 21.543531, 29.871329], [19.524307, 19.685498, 20.953041, 25.171879, 100.592009]]
### 8
mean: [-0.717476]
std: [3.150054]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[42.214425, 42.343331, 49.788261, 55.303192, 64.572803]]
## 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: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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0.258183,
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0.182991
],
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],
[
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],
[
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[
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[
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],
[
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],
[
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-0.107322
]
],
"network.0.bias": [
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],
"network.2.weight": [
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],
[
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],
[
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],
[
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[
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],
"network.2.bias": [
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"network.4.weight": [
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0.500684,
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[
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0.541293,
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]
],
"network.4.bias": [
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0.082523,
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"network.6.weight": [
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]
],
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],
"network.8.weight": [
[
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]
],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [-0.477251, -1.043996, 0.431592, 0.505611, -0.590042, -0.177811, 0.844638, -1.404282]
std: [1.046567, 1.202262, 1.285610, 1.844206, 2.219283, 1.490576, 1.321688, 1.273465]
pca: [[0.003803, -0.233598, 0.388091, 0.346952, -0.347733, 0.455002, -0.514726, 0.285552, 0.000000, 0.000000], [0.039276, 0.219429, 0.548822, -0.003509, 0.103397, -0.047329, 0.530744, 0.595374, 0.000000, 0.000000], [-0.252336, 0.001857, -0.332773, 0.680799, 0.395306, 0.357490, 0.276456, 0.040049, 0.000000, 0.000000], [-0.032548, 0.773808, -0.379931, 0.021358, -0.212754, -0.005347, -0.285624, 0.358446, 0.000000, 0.000000], [0.788722, -0.013469, -0.020749, 0.429716, 0.178364, -0.372951, -0.141820, 0.040393, 0.000000, 0.000000], [-0.429307, 0.164645, 0.366506, 0.113149, 0.520705, -0.387318, -0.462814, -0.078188, 0.000000, 0.000000], [-0.026026, -0.459422, -0.377750, -0.301755, 0.322844, -0.064873, -0.202230, 0.636529, 0.000000, 0.000000], [0.355875, 0.245238, 0.125070, -0.356587, 0.509593, 0.607938, -0.141962, -0.144873, 0.000000, 0.000000]]
fourier: [[14.188887, 16.390312, 19.616997, 22.879646, 42.952617], [18.579776, 19.652501, 19.799021, 21.160321, 93.959634], [19.113155, 20.053991, 21.486741, 24.260269, 38.843256], [29.880910, 30.380782, 31.043206, 33.096476, 45.504980], [41.246382, 41.351662, 44.555091, 44.629415, 53.103820], [22.152828, 23.547302, 25.422974, 26.069338, 30.690585], [19.909437, 21.434405, 21.564344, 22.823839, 76.017437], [19.265578, 20.287925, 21.153606, 29.202711, 126.385413]]
### 2
mean: [0.968245, 0.054162, -1.014165, -0.767373, 1.034684, -0.097201, 0.836927, 0.567403]
std: [0.685980, 0.780429, 0.937940, 1.153220, 0.942256, 0.627922, 0.779961, 0.771817]
pca: [[-0.262402, 0.407809, 0.413038, -0.122469, -0.137154, 0.059828, -0.457079, 0.589853, 0.000000, 0.000000], [0.291203, -0.517101, 0.447321, -0.080059, 0.222790, 0.584450, -0.222631, -0.022793, 0.000000, 0.000000], [0.385254, 0.548007, -0.210415, -0.254459, 0.308488, 0.440471, 0.346161, 0.182310, 0.000000, 0.000000], [0.517506, -0.087772, 0.438810, -0.276902, -0.287777, -0.454226, 0.362542, 0.186229, 0.000000, 0.000000], [-0.404306, 0.204901, 0.516552, -0.208977, 0.486096, -0.146413, 0.251686, -0.403711, 0.000000, 0.000000], [0.248491, 0.010412, 0.076702, 0.632700, 0.579329, -0.316647, -0.055303, 0.304969, 0.000000, 0.000000], [-0.342856, -0.113388, 0.187128, 0.424600, -0.246571, 0.332216, 0.634549, 0.283679, 0.000000, 0.000000], [-0.295553, -0.450924, -0.291116, -0.461414, 0.347657, -0.149778, 0.145578, 0.497165, 0.000000, 0.000000]]
fourier: [[11.431392, 11.647789, 12.141420, 15.466366, 87.142025], [11.325441, 11.650805, 12.330573, 13.762305, 16.854535], [13.473887, 14.632492, 17.219842, 19.151223, 91.274870], [17.800454, 19.063281, 20.231974, 23.858090, 69.063594], [13.627913, 15.213082, 17.088068, 19.718027, 93.121556], [8.803850, 8.977025, 9.096870, 9.426117, 9.459739], [11.222514, 13.075757, 13.906295, 17.967634, 75.323397], [10.668665, 10.996720, 11.385730, 13.485432, 51.066236]]
### 4
mean: [-0.625378, -0.904156, -0.379840, -0.452383, -0.482493, -0.474593, -0.890363, 1.641984]
std: [1.441933, 1.520901, 0.632168, 0.294829, 0.655616, 0.838441, 1.623499, 1.409252]
pca: [[0.446209, -0.009926, -0.280415, 0.590885, 0.239473, -0.300154, 0.371626, -0.295762, 0.000000, 0.000000], [0.470903, -0.052223, -0.020913, -0.563901, 0.607110, -0.105970, -0.253545, -0.114035, 0.000000, 0.000000], [0.192808, 0.211178, 0.105761, -0.456385, -0.334662, -0.422435, 0.608719, 0.194336, 0.000000, 0.000000], [0.063425, -0.403751, -0.519459, -0.266393, -0.115069, 0.566061, 0.378991, -0.121899, 0.000000, 0.000000], [0.202122, 0.114655, 0.130379, 0.201736, 0.344311, 0.361913, 0.219949, 0.768373, 0.000000, 0.000000], [0.252686, 0.366884, 0.539534, 0.010199, -0.065778, 0.503854, 0.170836, -0.472191, 0.000000, 0.000000], [0.500434, 0.392799, -0.391390, 0.034658, -0.469103, 0.107523, -0.432062, 0.150301, 0.000000, 0.000000], [-0.427566, 0.698227, -0.422641, -0.107769, 0.325418, 0.058229, 0.138546, -0.104614, 0.000000, 0.000000]]
fourier: [[19.452516, 21.866463, 27.734225, 28.967196, 56.284052], [21.571636, 22.545706, 27.514209, 28.761108, 81.374033], [9.228447, 9.332007, 10.860886, 10.972171, 34.185599], [4.411068, 4.895586, 5.437106, 6.670320, 40.714455], [9.007029, 9.684209, 11.916842, 13.534330, 43.424337], [10.942643, 13.052083, 13.889413, 16.636504, 42.713401], [22.515833, 25.558482, 28.835212, 31.404802, 80.132709], [21.040147, 23.347910, 26.287747, 27.915797, 147.778537]]
### 6
mean: [-0.577509, -0.389849, -0.360123, -0.323978, -0.312947, 0.736928, -0.331904, 1.117689]
std: [1.461269, 0.941687, 1.245313, 1.258889, 1.645923, 1.110990, 1.160346, 1.342611]
pca: [[0.400954, 0.558458, 0.285643, -0.059962, -0.611457, -0.246254, -0.038907, -0.078355, 0.000000, 0.000000], [0.258111, -0.412812, -0.276005, 0.366710, -0.392870, 0.234042, 0.015415, -0.585619, 0.000000, 0.000000], [0.342634, -0.060907, 0.233503, 0.099450, 0.132721, 0.154642, 0.867668, 0.141777, 0.000000, 0.000000], [0.346303, -0.028625, 0.436353, 0.183821, 0.135770, 0.621211, -0.445952, 0.227707, 0.000000, 0.000000], [0.452816, 0.171307, -0.003834, 0.086603, 0.648881, -0.347752, -0.140550, -0.443130, 0.000000, 0.000000], [-0.303458, 0.685821, -0.266870, 0.374719, 0.113938, 0.409259, 0.133621, -0.166132, 0.000000, 0.000000], [0.319129, 0.003474, -0.496805, 0.476345, -0.037044, -0.247019, -0.094092, 0.594290, 0.000000, 0.000000], [-0.369215, -0.116072, 0.528443, 0.665904, -0.018014, -0.354010, -0.008076, -0.042591, 0.000000, 0.000000]]
fourier: [[21.381393, 22.593985, 22.928341, 27.636704, 51.975841], [12.735979, 12.971622, 14.795970, 16.908000, 35.086451], [17.703230, 18.102251, 19.817234, 23.021130, 32.411024], [17.829576, 18.390971, 20.158073, 23.252313, 29.158062], [23.737175, 24.583059, 25.853253, 28.165212, 30.814491], [14.603131, 15.441339, 17.847714, 19.780338, 66.323546], [16.485520, 16.998168, 17.927017, 21.543531, 29.871329], [19.524307, 19.685498, 20.953041, 25.171879, 100.592009]]
### 8
mean: [-0.717476]
std: [3.150054]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[42.214425, 42.343331, 49.788261, 55.303192, 64.572803]]
## 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": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.236441, 0.258183, -0.404044, -0.321853, 0.182991], [-0.026273, -0.202918, -0.417137, -0.212223, 0.390785], [-0.350971, 0.378776, 0.495539, -0.355134, -0.106644], [-0.791719, -0.057725, 0.456506, 0.265782, 0.387262], [-0.318484, 0.423777, -0.800897, 0.303551, -0.374341], [-0.029787, -0.258943, 0.21272, -0.534544, 0.358549], [0.367768, -0.054127, 0.282026, 0.199484, -0.615606], [-0.154698, -0.343048, -0.34316, 0.302481, -0.107322]], "network.0.bias": [0.066556, 0.202946, 0.036111, -0.40512, 0.517803, 0.590851, 0.227949, -0.386127], "network.2.weight": [[0.320164, 0.354069, 0.293547, 0.434608, -0.074543, 0.00297, -0.003492, 0.353901], [-0.416342, -0.739053, -0.378425, -0.152069, 0.479702, 0.178754, -0.12952, -0.201071], [0.084455, -0.150704, -0.501625, -0.288858, -0.25387, 0.18015, -0.569083, -0.188092], [-0.259617, -0.274267, -0.651292, -0.291091, 0.427814, 0.342002, -0.452963, -0.747408], [0.189415, 0.15214, 0.322074, 0.628732, -0.029837, 0.039041, 0.275571, 0.466166], [-0.135275, -0.559016, -0.074692, -0.36089, 0.117077, 0.344087, -0.240188, -0.61077], [0.24236, 0.103362, 0.546241, 0.24087, 0.067168, -0.07696, 0.291313, 0.656848], [-0.040325, -0.041764, 0.071579, 0.314249, -0.078273, -0.360546, 0.541733, 0.067744]], "network.2.bias": [0.397879, 0.312488, 0.141864, 0.010577, -0.016562, 0.323257, -6.6e-05, -0.103293], "network.4.weight": [[-0.247862, 0.376876, -0.170711, 0.275142, -0.445518, 0.463925, -0.576764, -0.43601], [-0.34967, 0.138056, 0.324505, 0.434654, -0.619452, 0.31927, -0.265261, -0.718374], [0.076001, -0.00545, 0.089554, 0.693927, -0.364475, 0.06947, -0.076155, -0.294015], [0.183646, -0.207893, 0.086485, -0.221887, -0.227801, 0.451808, -0.277445, 0.149541], [-0.141671, 0.307584, -0.127063, 0.039482, -0.256558, 0.203019, -0.065793, -0.277693], [-0.021711, 0.469592, 0.380564, 0.420906, -0.480186, -0.027433, 0.074689, -0.36976], [-0.001659, 0.469033, 0.220044, 0.635186, -0.518294, 0.500684, -0.629692, -0.647252], [0.653056, 0.133201, -0.578439, -0.570388, 0.541293, -0.519825, 0.323457, 0.14067]], "network.4.bias": [0.53873, 0.517703, 0.082523, -0.241596, -0.006407, 0.050813, 0.268119, 0.26463], "network.6.weight": [[0.527162, 0.345945, 0.509825, 0.249903, 0.236696, 0.542719, 0.307211, -0.533021], [0.338551, 0.518931, 0.330357, 0.225386, 0.38369, 0.530036, 0.122337, -0.208929], [0.607419, 0.499442, 0.280843, -0.004924, 0.216459, 0.426181, 0.278329, -0.366909], [0.675604, 0.622627, 0.336705, -0.221244, 0.10585, 0.417253, 0.153694, -0.3782], [0.541869, 0.477509, 0.258729, -0.118648, 0.468895, 0.556074, 0.625088, -0.535063], [-0.592853, -0.488119, -0.157171, -0.667403, -0.747677, -0.125487, -0.409688, 0.208293], [0.231024, 0.396206, 0.291648, 0.051736, 0.440854, 0.67193, 0.341958, -0.35371], [-0.063793, -0.367273, -0.461988, -0.455353, -0.242666, -0.677332, -0.657191, 0.429756]], "network.6.bias": [0.067341, -0.211274, -0.046855, -0.027898, 0.201074, 0.592566, 0.048147, 0.601922], "network.8.weight": [[0.630367, 0.366101, 0.664402, 0.358546, 0.401183, -0.500458, 0.432731, -0.792766]], "network.8.bias": [-0.137004]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.695340633392334, "train_acc": 0.46, "val_loss": 0.6808884143829346, "val_acc": 0.62}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6815247237682343, "train_acc": 0.59, "val_loss": 0.6541537642478943, "val_acc": 0.76}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6629772782325745, "train_acc": 0.64, "val_loss": 0.6130201816558838, "val_acc": 0.78}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.62999027967453, "train_acc": 0.68, "val_loss": 0.5609066486358643, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5521063208580017, "train_acc": 0.87, "val_loss": 0.49015411734580994, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4805861562490463, "train_acc": 0.87, "val_loss": 0.40949881076812744, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.39514385163784027, "train_acc": 0.885, "val_loss": 0.3489418923854828, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.30945584177970886, "train_acc": 0.94, "val_loss": 0.2849388122558594, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.2440216839313507, "train_acc": 0.96, "val_loss": 0.2073851227760315, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.16585088893771172, "train_acc": 0.98, "val_loss": 0.14071166515350342, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.09710405394434929, "train_acc": 0.985, "val_loss": 0.08744528889656067, "val_acc": 0.98}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.054773902520537376, "train_acc": 1.0, "val_loss": 0.0546380952000618, "val_acc": 1.0}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.03053774032741785, "train_acc": 1.0, "val_loss": 0.03784872218966484, "val_acc": 1.0}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.6808884143829346, "final_val_loss": 0.6130201816558838, "initial_val_acc": 0.62, "final_val_acc": 0.78, "best_val_acc": 0.78}, "improved_stage": {"initial_val_loss": 0.5609066486358643, "final_val_loss": 0.03784872218966484, "initial_val_acc": 0.82, "final_val_acc": 1.0, "best_val_acc": 1.0, "best_epoch": 11}, "improvement": 0.21999999999999997, "first_improvement_epoch": 2}}
|
9,469
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.46, "improved_accuracy": 0.86, "improvement": 0.39999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7502, "learning_rate": 0.08145448164432278, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "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: 5
Neurons per Layer: 7
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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[
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[
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"network.0.bias": [
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"network.2.weight": [
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[
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"network.8.weight": [
[
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"network.10.weight": [
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"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [1.449126, -2.265758, 1.128199, 0.523006, -3.015926, -3.667748, 1.834340]
std: [2.323427, 1.968839, 1.853848, 1.946642, 2.160285, 2.496392, 1.464388]
pca: [[-0.217968, 0.668727, 0.104538, 0.330779, 0.423779, 0.342822, -0.296371, 0.000000, 0.000000, 0.000000], [0.503585, -0.130678, -0.149095, -0.468274, 0.274780, 0.631313, -0.117283, 0.000000, 0.000000, 0.000000], [-0.330366, -0.423275, -0.022388, 0.131679, 0.683717, 0.058430, 0.472199, 0.000000, 0.000000, 0.000000], [-0.343789, -0.412831, 0.270194, 0.277305, -0.409694, 0.607423, -0.157052, 0.000000, 0.000000, 0.000000], [0.237093, 0.169141, 0.861650, -0.130620, -0.001492, 0.026278, 0.393680, 0.000000, 0.000000, 0.000000], [0.643507, -0.151269, -0.053630, 0.745768, 0.043187, -0.014850, 0.043417, 0.000000, 0.000000, 0.000000], [-0.035302, 0.366942, -0.384734, 0.061938, -0.328208, 0.332608, 0.702782, 0.000000, 0.000000, 0.000000]]
fourier: [[37.782912, 38.060485, 43.032444, 51.086916, 130.421361], [30.718518, 30.955717, 37.060928, 38.933909, 203.918185], [28.450833, 28.491018, 30.023563, 33.551663, 101.537960], [28.740449, 30.750346, 32.115591, 38.659408, 47.070509], [33.494316, 33.686816, 34.558371, 41.737514, 271.433345], [40.161841, 44.479086, 46.115539, 46.229831, 330.097342], [21.811633, 25.382964, 30.421451, 32.952319, 165.090553]]
### 2
mean: [0.607286, 0.598926, 1.394409, 1.908476, -1.990436, 0.285879, -0.764004]
std: [1.379197, 0.548451, 1.581354, 2.557120, 1.180846, 1.443438, 1.137265]
pca: [[0.379725, 0.138779, -0.330045, 0.652966, 0.459628, 0.267102, 0.136578, 0.000000, 0.000000, 0.000000], [-0.021864, -0.290193, 0.278028, -0.265680, 0.507111, -0.061637, 0.711663, 0.000000, 0.000000, 0.000000], [0.425265, -0.264874, 0.005488, -0.223781, -0.411741, 0.706465, 0.173953, 0.000000, 0.000000, 0.000000], [0.716918, -0.178297, 0.140762, 0.093350, -0.226088, -0.610900, 0.037373, 0.000000, 0.000000, 0.000000], [0.015326, 0.634190, 0.648902, 0.234357, -0.211557, 0.112025, 0.253507, 0.000000, 0.000000, 0.000000], [-0.381523, -0.270395, -0.227855, 0.470023, -0.501887, -0.133864, 0.488545, 0.000000, 0.000000, 0.000000], [0.121305, 0.565040, -0.566512, -0.410380, -0.119527, -0.148650, 0.374546, 0.000000, 0.000000, 0.000000]]
fourier: [[23.609764, 24.401321, 25.121812, 30.285001, 54.655714], [8.849946, 9.752012, 9.924221, 10.966099, 53.903385], [25.913751, 26.709554, 33.341153, 34.930914, 125.496828], [37.268763, 44.071190, 54.613178, 55.303461, 171.762822], [18.401952, 18.579340, 20.551539, 26.355363, 179.139289], [24.936889, 25.729111, 26.803797, 26.842685, 28.055729], [18.083500, 19.279642, 20.574696, 23.266177, 68.760360]]
### 4
mean: [2.491816, -1.674734, 1.633578, 2.421455, 2.949761, -1.429054, 2.142853]
std: [2.790773, 1.718669, 2.258766, 3.076389, 3.838404, 1.195076, 2.109971]
pca: [[0.416565, 0.014129, -0.382503, -0.059038, -0.510351, -0.360549, -0.534815, 0.000000, 0.000000, 0.000000], [-0.245953, 0.439643, -0.510155, 0.677248, 0.095807, -0.102188, 0.087615, 0.000000, 0.000000, 0.000000], [0.335801, -0.073179, 0.513318, 0.645556, -0.013591, 0.277431, -0.352834, 0.000000, 0.000000, 0.000000], [0.458765, 0.232425, 0.009998, -0.121524, 0.763747, -0.349393, -0.123530, 0.000000, 0.000000, 0.000000], [0.572950, -0.129420, -0.446211, -0.006972, 0.019468, 0.571546, 0.358862, 0.000000, 0.000000, 0.000000], [0.123444, 0.853905, 0.253247, -0.251850, -0.258591, 0.242504, 0.048663, 0.000000, 0.000000, 0.000000], [0.315029, -0.035131, 0.258069, 0.207031, -0.282171, -0.524448, 0.659845, 0.000000, 0.000000, 0.000000]]
fourier: [[38.372271, 45.992255, 56.084482, 64.418963, 224.263406], [28.971146, 29.625854, 36.341844, 37.592720, 150.726050], [33.429802, 40.555365, 47.416226, 48.554053, 147.022012], [44.697190, 53.965461, 61.548630, 68.603136, 217.930941], [51.516397, 62.584598, 77.732662, 88.635589, 265.478464], [17.440492, 20.410928, 21.891501, 26.772726, 128.614822], [29.992716, 37.149784, 43.971170, 46.476045, 192.856715]]
### 6
mean: [7.809934, 8.769228, -5.549106, 7.571291, -6.204641, -3.671536, 1.450808]
std: [8.887232, 10.080154, 7.070917, 8.891616, 6.404239, 4.599665, 2.360689]
pca: [[0.457500, 0.053107, 0.252263, 0.433120, 0.644671, -0.066896, -0.341421, 0.000000, 0.000000, 0.000000], [0.518894, 0.429226, 0.264516, 0.034926, -0.642297, -0.178314, -0.176023, 0.000000, 0.000000, 0.000000], [-0.363980, 0.369471, 0.030318, 0.631893, -0.016112, -0.374044, 0.436615, 0.000000, 0.000000, 0.000000], [0.457710, -0.403325, 0.241799, 0.090369, -0.043777, 0.178176, 0.726315, 0.000000, 0.000000, 0.000000], [-0.329662, 0.162781, 0.850954, -0.337683, 0.148248, 0.039265, 0.056164, 0.000000, 0.000000, 0.000000], [-0.236773, -0.186247, 0.194251, 0.524108, -0.316491, 0.653623, -0.263511, 0.000000, 0.000000, 0.000000], [0.121341, 0.672740, -0.212493, -0.122527, 0.218024, 0.602750, 0.248372, 0.000000, 0.000000, 0.000000]]
fourier: [[119.423058, 147.649800, 179.617046, 204.614072, 702.894039], [135.796118, 167.768536, 204.407801, 231.660338, 789.230514], [94.824131, 116.252047, 143.089141, 163.386688, 499.419487], [119.589541, 146.886894, 179.391268, 205.272079, 681.416088], [86.173041, 104.991712, 129.352062, 148.001771, 558.417674], [62.311439, 76.074083, 93.631053, 105.775857, 330.438208], [33.087867, 39.721903, 48.628032, 53.641658, 130.572687]]
### 8
mean: [-0.080450, -4.452523, -0.075634, -2.922754, 11.526864, -1.677679, 17.898691]
std: [1.205793, 6.210957, 0.234988, 4.212887, 13.929111, 1.914637, 20.939413]
pca: [[-0.044727, 0.775310, 0.053749, -0.315979, -0.189520, 0.474185, 0.182740, 0.000000, 0.000000, 0.000000], [-0.235724, -0.117092, 0.829202, 0.164792, -0.461438, 0.020444, -0.051464, 0.000000, 0.000000, 0.000000], [-0.007821, 0.267544, 0.394339, -0.373110, 0.549505, -0.329975, -0.472023, 0.000000, 0.000000, 0.000000], [-0.159893, 0.282899, 0.113498, 0.774208, 0.489383, 0.188790, 0.083582, 0.000000, 0.000000, 0.000000], [0.528780, -0.363169, 0.320248, -0.173928, 0.337542, 0.549638, 0.199133, 0.000000, 0.000000, 0.000000], [-0.072674, 0.051379, 0.179850, -0.151388, 0.180013, -0.460782, 0.831919, 0.000000, 0.000000, 0.000000], [0.794932, 0.314709, 0.079036, 0.284996, -0.251727, -0.340269, -0.049216, 0.000000, 0.000000, 0.000000]]
fourier: [[16.529355, 17.383024, 22.934202, 24.560385, 25.432641], [85.088123, 102.790051, 125.918099, 142.715924, 400.727038], [3.871349, 4.041119, 4.615135, 4.994977, 6.807070], [56.672539, 71.144563, 85.135051, 96.559036, 263.047869], [187.166925, 232.851844, 281.590303, 321.289573, 1037.417757], [25.945883, 32.239732, 38.721248, 43.931554, 150.991137], [281.312746, 346.677861, 423.017077, 484.652934, 1610.882204]]
### 10
mean: [-15.350207]
std: [18.927185]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[255.093777, 320.662419, 383.090134, 436.758472, 1381.518750]]
## 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.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
0.781509,
0.068689,
0.066555,
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0.659378
],
[
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[
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0.302241,
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],
[
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0.178883,
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[
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[
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0.410823
],
[
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0.158789,
0.676666
]
],
"network.0.bias": [
0.168167,
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0.239794,
0.352416,
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-0.787306,
0.466095
],
"network.2.weight": [
[
0.275456,
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],
[
0.143833,
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0.130621,
0.28335,
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0.260224,
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],
[
0.50272,
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[
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],
[
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],
[
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0.337857,
0.117947,
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-0.120076
],
[
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0.158223
]
],
"network.2.bias": [
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"network.4.weight": [
[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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]
],
"network.6.bias": [
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-0.56849
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"network.8.weight": [
[
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],
[
0.082045,
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0.228637,
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[
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],
"network.8.bias": [
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],
"network.10.weight": [
[
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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [1.449126, -2.265758, 1.128199, 0.523006, -3.015926, -3.667748, 1.834340]
std: [2.323427, 1.968839, 1.853848, 1.946642, 2.160285, 2.496392, 1.464388]
pca: [[-0.217968, 0.668727, 0.104538, 0.330779, 0.423779, 0.342822, -0.296371, 0.000000, 0.000000, 0.000000], [0.503585, -0.130678, -0.149095, -0.468274, 0.274780, 0.631313, -0.117283, 0.000000, 0.000000, 0.000000], [-0.330366, -0.423275, -0.022388, 0.131679, 0.683717, 0.058430, 0.472199, 0.000000, 0.000000, 0.000000], [-0.343789, -0.412831, 0.270194, 0.277305, -0.409694, 0.607423, -0.157052, 0.000000, 0.000000, 0.000000], [0.237093, 0.169141, 0.861650, -0.130620, -0.001492, 0.026278, 0.393680, 0.000000, 0.000000, 0.000000], [0.643507, -0.151269, -0.053630, 0.745768, 0.043187, -0.014850, 0.043417, 0.000000, 0.000000, 0.000000], [-0.035302, 0.366942, -0.384734, 0.061938, -0.328208, 0.332608, 0.702782, 0.000000, 0.000000, 0.000000]]
fourier: [[37.782912, 38.060485, 43.032444, 51.086916, 130.421361], [30.718518, 30.955717, 37.060928, 38.933909, 203.918185], [28.450833, 28.491018, 30.023563, 33.551663, 101.537960], [28.740449, 30.750346, 32.115591, 38.659408, 47.070509], [33.494316, 33.686816, 34.558371, 41.737514, 271.433345], [40.161841, 44.479086, 46.115539, 46.229831, 330.097342], [21.811633, 25.382964, 30.421451, 32.952319, 165.090553]]
### 2
mean: [0.607286, 0.598926, 1.394409, 1.908476, -1.990436, 0.285879, -0.764004]
std: [1.379197, 0.548451, 1.581354, 2.557120, 1.180846, 1.443438, 1.137265]
pca: [[0.379725, 0.138779, -0.330045, 0.652966, 0.459628, 0.267102, 0.136578, 0.000000, 0.000000, 0.000000], [-0.021864, -0.290193, 0.278028, -0.265680, 0.507111, -0.061637, 0.711663, 0.000000, 0.000000, 0.000000], [0.425265, -0.264874, 0.005488, -0.223781, -0.411741, 0.706465, 0.173953, 0.000000, 0.000000, 0.000000], [0.716918, -0.178297, 0.140762, 0.093350, -0.226088, -0.610900, 0.037373, 0.000000, 0.000000, 0.000000], [0.015326, 0.634190, 0.648902, 0.234357, -0.211557, 0.112025, 0.253507, 0.000000, 0.000000, 0.000000], [-0.381523, -0.270395, -0.227855, 0.470023, -0.501887, -0.133864, 0.488545, 0.000000, 0.000000, 0.000000], [0.121305, 0.565040, -0.566512, -0.410380, -0.119527, -0.148650, 0.374546, 0.000000, 0.000000, 0.000000]]
fourier: [[23.609764, 24.401321, 25.121812, 30.285001, 54.655714], [8.849946, 9.752012, 9.924221, 10.966099, 53.903385], [25.913751, 26.709554, 33.341153, 34.930914, 125.496828], [37.268763, 44.071190, 54.613178, 55.303461, 171.762822], [18.401952, 18.579340, 20.551539, 26.355363, 179.139289], [24.936889, 25.729111, 26.803797, 26.842685, 28.055729], [18.083500, 19.279642, 20.574696, 23.266177, 68.760360]]
### 4
mean: [2.491816, -1.674734, 1.633578, 2.421455, 2.949761, -1.429054, 2.142853]
std: [2.790773, 1.718669, 2.258766, 3.076389, 3.838404, 1.195076, 2.109971]
pca: [[0.416565, 0.014129, -0.382503, -0.059038, -0.510351, -0.360549, -0.534815, 0.000000, 0.000000, 0.000000], [-0.245953, 0.439643, -0.510155, 0.677248, 0.095807, -0.102188, 0.087615, 0.000000, 0.000000, 0.000000], [0.335801, -0.073179, 0.513318, 0.645556, -0.013591, 0.277431, -0.352834, 0.000000, 0.000000, 0.000000], [0.458765, 0.232425, 0.009998, -0.121524, 0.763747, -0.349393, -0.123530, 0.000000, 0.000000, 0.000000], [0.572950, -0.129420, -0.446211, -0.006972, 0.019468, 0.571546, 0.358862, 0.000000, 0.000000, 0.000000], [0.123444, 0.853905, 0.253247, -0.251850, -0.258591, 0.242504, 0.048663, 0.000000, 0.000000, 0.000000], [0.315029, -0.035131, 0.258069, 0.207031, -0.282171, -0.524448, 0.659845, 0.000000, 0.000000, 0.000000]]
fourier: [[38.372271, 45.992255, 56.084482, 64.418963, 224.263406], [28.971146, 29.625854, 36.341844, 37.592720, 150.726050], [33.429802, 40.555365, 47.416226, 48.554053, 147.022012], [44.697190, 53.965461, 61.548630, 68.603136, 217.930941], [51.516397, 62.584598, 77.732662, 88.635589, 265.478464], [17.440492, 20.410928, 21.891501, 26.772726, 128.614822], [29.992716, 37.149784, 43.971170, 46.476045, 192.856715]]
### 6
mean: [7.809934, 8.769228, -5.549106, 7.571291, -6.204641, -3.671536, 1.450808]
std: [8.887232, 10.080154, 7.070917, 8.891616, 6.404239, 4.599665, 2.360689]
pca: [[0.457500, 0.053107, 0.252263, 0.433120, 0.644671, -0.066896, -0.341421, 0.000000, 0.000000, 0.000000], [0.518894, 0.429226, 0.264516, 0.034926, -0.642297, -0.178314, -0.176023, 0.000000, 0.000000, 0.000000], [-0.363980, 0.369471, 0.030318, 0.631893, -0.016112, -0.374044, 0.436615, 0.000000, 0.000000, 0.000000], [0.457710, -0.403325, 0.241799, 0.090369, -0.043777, 0.178176, 0.726315, 0.000000, 0.000000, 0.000000], [-0.329662, 0.162781, 0.850954, -0.337683, 0.148248, 0.039265, 0.056164, 0.000000, 0.000000, 0.000000], [-0.236773, -0.186247, 0.194251, 0.524108, -0.316491, 0.653623, -0.263511, 0.000000, 0.000000, 0.000000], [0.121341, 0.672740, -0.212493, -0.122527, 0.218024, 0.602750, 0.248372, 0.000000, 0.000000, 0.000000]]
fourier: [[119.423058, 147.649800, 179.617046, 204.614072, 702.894039], [135.796118, 167.768536, 204.407801, 231.660338, 789.230514], [94.824131, 116.252047, 143.089141, 163.386688, 499.419487], [119.589541, 146.886894, 179.391268, 205.272079, 681.416088], [86.173041, 104.991712, 129.352062, 148.001771, 558.417674], [62.311439, 76.074083, 93.631053, 105.775857, 330.438208], [33.087867, 39.721903, 48.628032, 53.641658, 130.572687]]
### 8
mean: [-0.080450, -4.452523, -0.075634, -2.922754, 11.526864, -1.677679, 17.898691]
std: [1.205793, 6.210957, 0.234988, 4.212887, 13.929111, 1.914637, 20.939413]
pca: [[-0.044727, 0.775310, 0.053749, -0.315979, -0.189520, 0.474185, 0.182740, 0.000000, 0.000000, 0.000000], [-0.235724, -0.117092, 0.829202, 0.164792, -0.461438, 0.020444, -0.051464, 0.000000, 0.000000, 0.000000], [-0.007821, 0.267544, 0.394339, -0.373110, 0.549505, -0.329975, -0.472023, 0.000000, 0.000000, 0.000000], [-0.159893, 0.282899, 0.113498, 0.774208, 0.489383, 0.188790, 0.083582, 0.000000, 0.000000, 0.000000], [0.528780, -0.363169, 0.320248, -0.173928, 0.337542, 0.549638, 0.199133, 0.000000, 0.000000, 0.000000], [-0.072674, 0.051379, 0.179850, -0.151388, 0.180013, -0.460782, 0.831919, 0.000000, 0.000000, 0.000000], [0.794932, 0.314709, 0.079036, 0.284996, -0.251727, -0.340269, -0.049216, 0.000000, 0.000000, 0.000000]]
fourier: [[16.529355, 17.383024, 22.934202, 24.560385, 25.432641], [85.088123, 102.790051, 125.918099, 142.715924, 400.727038], [3.871349, 4.041119, 4.615135, 4.994977, 6.807070], [56.672539, 71.144563, 85.135051, 96.559036, 263.047869], [187.166925, 232.851844, 281.590303, 321.289573, 1037.417757], [25.945883, 32.239732, 38.721248, 43.931554, 150.991137], [281.312746, 346.677861, 423.017077, 484.652934, 1610.882204]]
### 10
mean: [-15.350207]
std: [18.927185]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[255.093777, 320.662419, 383.090134, 436.758472, 1381.518750]]
## 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.
ends_with
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.781509, 0.068689, 0.066555, -0.358606, 0.659378], [-0.840774, -0.103484, -0.232524, -0.178098, 0.390693], [-0.019641, 0.448298, 0.213855, 0.302241, -0.809925], [0.287329, 0.054368, 0.178883, 0.300191, -1.056855], [0.140532, -0.448489, -0.062486, -0.818969, -0.090627], [-0.657826, -0.085898, -0.872731, -0.274631, 0.410823], [0.228584, -0.020827, -0.025532, 0.158789, 0.676666]], "network.0.bias": [0.168167, -0.645107, 0.239794, 0.352416, -0.375032, -0.787306, 0.466095], "network.2.weight": [[0.275456, -0.305586, -0.052996, -0.721753, -0.249596, 0.166887, 0.259386], [0.143833, 0.307024, 0.130621, 0.28335, 0.269774, 0.260224, -0.038107], [0.50272, -0.294593, -0.061801, -0.14159, 0.055253, -0.022428, 0.362801], [0.78227, -0.49037, -0.159409, -0.605948, -0.330107, -0.011155, 0.470329], [-0.114932, -0.275031, -0.452031, -0.483731, -0.261146, -0.411615, -0.352579], [-0.272813, 0.201869, 0.538137, 0.337857, 0.117947, -0.034228, -0.120076], [-0.251878, -0.375622, -0.580294, -0.261865, -0.400057, -0.206112, 0.158223]], "network.2.bias": [0.502685, -0.002353, 0.178811, 0.6386, -0.110886, -0.140349, 0.390211], "network.4.weight": [[0.638718, -0.423375, 0.431533, 0.569443, -0.953443, -0.043254, 0.23527], [0.061887, -0.422311, -0.66211, -0.259664, -0.200543, 0.110073, -0.357567], [0.032741, 0.264529, 0.215239, 0.661566, -0.359021, -0.456405, 0.133742], [0.811342, -0.015549, 0.288171, 0.560279, -0.473799, -0.591796, 0.308553], [0.937913, -0.19671, 0.410841, 0.867557, -0.421434, -0.099377, 0.367666], [0.209243, -0.713198, 0.151018, -0.075074, -0.194311, -0.828585, -0.209486], [0.168413, 0.023065, 0.377683, 0.477057, -0.804795, -0.294061, 0.173494]], "network.4.bias": [0.43942, -0.169498, 0.118133, 0.620264, 0.045122, -0.760365, 0.661812], "network.6.weight": [[0.56926, 0.745892, 0.793417, 0.842308, 0.522693, -0.758455, 0.54688], [0.310843, 0.494919, 0.844738, 1.048507, 0.599925, -0.072804, 0.987967], [-0.483701, -0.177369, -0.166822, -0.573331, -0.578101, -0.100815, -0.718605], [0.587968, 0.41445, 0.460583, 0.825647, 0.673764, -0.64006, 0.619994], [-0.217573, -0.09356, -0.480514, -0.506318, -0.714959, 0.396936, -0.287583], [-0.385731, -0.094963, -0.385455, -0.305019, -0.213596, -0.357272, -0.480389], [-0.229734, 0.389356, 0.33884, 0.289366, 0.125086, 0.473298, 0.452246]], "network.6.bias": [0.125273, -0.011672, 0.643028, -0.164489, -0.73958, 0.349774, -0.56849], "network.8.weight": [[0.332766, -0.164251, 1.03545, -0.177877, -0.393652, 0.144364, -0.323477], [0.082045, -0.233423, 0.418886, -0.244892, -0.353433, 0.228637, -1.054098], [-0.384973, 0.159718, 0.002222, 0.304724, -0.099047, 0.773996, -0.462394], [-0.041358, -0.001071, 0.298797, -0.320272, 0.137583, 0.757151, -0.412765], [0.594475, 0.260537, -0.877058, 0.586586, 0.763254, -0.158641, 0.309495], [-0.314174, 0.09982, -0.020005, 0.066009, -0.285894, 0.377888, -0.305211], [0.807477, 0.934114, 0.145093, 0.425514, 0.286576, -0.81513, 0.277956]], "network.8.bias": [0.425724, 0.40682, -0.121658, 0.419782, -0.202815, -0.154198, -0.321274], "network.10.weight": [[0.700545, 0.712826, 0.238218, 0.584626, -0.588037, 0.35101, -0.497156]], "network.10.bias": [0.063941]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6959695219993591, "train_acc": 0.46, "val_loss": 0.704742431640625, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6673053801059723, "train_acc": 0.59, "val_loss": 0.6915022134780884, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6021414995193481, "train_acc": 0.59, "val_loss": 0.5674337148666382, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.49861352145671844, "train_acc": 0.65, "val_loss": 0.5051353573799133, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.352771133184433, "train_acc": 0.835, "val_loss": 0.3925856351852417, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.2731241136789322, "train_acc": 0.87, "val_loss": 0.3810374438762665, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3270467519760132, "train_acc": 0.895, "val_loss": 0.36376625299453735, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.30516259372234344, "train_acc": 0.895, "val_loss": 0.3471520245075226, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.24376178532838821, "train_acc": 0.915, "val_loss": 0.3510591983795166, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.2509338930249214, "train_acc": 0.915, "val_loss": 0.3870645761489868, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.23613867908716202, "train_acc": 0.915, "val_loss": 0.38573524355888367, "val_acc": 0.86}], "summary": {"total_epochs": 11, "degraded_epochs": 3, "improved_epochs": 8, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.704742431640625, "final_val_loss": 0.5674337148666382, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.5051353573799133, "final_val_loss": 0.38573524355888367, "initial_val_acc": 0.76, "final_val_acc": 0.86, "best_val_acc": 0.86, "best_epoch": 4}, "improvement": 0.39999999999999997, "first_improvement_epoch": 2}}
|
9,470
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.42, "improved_accuracy": 0.78, "improvement": 0.36000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6684, "learning_rate": 0.06252260417027254, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "no_repeats", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["no_repeats"], "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: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
1.620733,
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-0.022874,
0.125007,
-0.29517
],
[
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0.055506,
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-0.604032
],
[
-0.285374,
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-0.024952,
-0.035873,
-0.140176
],
[
-1.367627,
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0.578997,
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],
[
1.183181,
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0.132792,
-0.491122,
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],
[
0.181381,
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]
],
"network.0.bias": [
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"network.2.weight": [
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[
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],
[
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[
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],
[
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]
],
"network.2.bias": [
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],
"network.4.weight": [
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[
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[
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[
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[
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],
"network.4.bias": [
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"network.6.weight": [
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[
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[
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[
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],
"network.6.bias": [
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"network.8.weight": [
[
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[
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[
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[
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[
0.218451,
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]
],
"network.8.bias": [
0.015431,
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],
"network.10.weight": [
[
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]
],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [1.712247, 1.914215, -1.643276, 0.783883, 0.366780, -3.267455]
std: [3.076544, 3.554653, 1.184780, 2.845477, 2.790795, 2.119175]
pca: [[0.499041, -0.090593, 0.767936, 0.283727, 0.084533, 0.255693, 0.000000, 0.000000, 0.000000, 0.000000], [0.583115, -0.271615, -0.464066, -0.309360, 0.356350, 0.384910, 0.000000, 0.000000, 0.000000, 0.000000], [-0.124582, 0.313389, -0.025223, 0.297788, 0.872496, -0.188951, 0.000000, 0.000000, 0.000000, 0.000000], [-0.428894, -0.458301, -0.157208, 0.537868, 0.032069, 0.539412, 0.000000, 0.000000, 0.000000, 0.000000], [0.459543, 0.071704, -0.394285, 0.664931, -0.271141, -0.335509, 0.000000, 0.000000, 0.000000, 0.000000], [0.016875, 0.777576, -0.118767, 0.060676, -0.173415, 0.589263, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[55.485198, 56.838394, 58.259996, 66.270951, 154.102232], [54.714266, 57.495599, 60.418937, 69.271378, 172.279374], [16.678662, 17.691324, 20.902815, 23.376521, 147.894843], [45.681109, 46.088721, 53.627119, 56.405421, 70.549432], [42.592524, 44.300700, 45.028436, 52.798036, 57.456546], [32.969138, 35.837856, 36.200228, 37.358319, 294.070920]]
### 2
mean: [-1.828166, -1.699129, -1.216068, -2.986102, 3.614277, 3.495838]
std: [0.979830, 1.645847, 3.595464, 2.972731, 4.988903, 5.086719]
pca: [[-0.057312, -0.470995, 0.761799, -0.272300, -0.323475, -0.125529, 0.000000, 0.000000, 0.000000, 0.000000], [-0.182175, -0.348552, 0.169689, 0.203992, 0.852641, -0.218906, 0.000000, 0.000000, 0.000000, 0.000000], [-0.405278, 0.594263, 0.483132, -0.023993, 0.184820, 0.463089, 0.000000, 0.000000, 0.000000, 0.000000], [-0.334636, -0.525883, -0.188774, 0.337788, -0.160181, 0.660357, 0.000000, 0.000000, 0.000000, 0.000000], [0.580205, 0.093581, 0.348928, 0.722710, -0.058452, 0.084428, 0.000000, 0.000000, 0.000000, 0.000000], [0.592164, -0.134971, 0.008032, -0.497247, 0.324244, 0.527894, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.818671, 16.482540, 17.524947, 18.699529, 164.534953], [28.554602, 29.101016, 30.334937, 30.682227, 152.921642], [63.234540, 63.835167, 64.349058, 66.493619, 109.446104], [52.958056, 53.490407, 54.534017, 55.648158, 268.749209], [85.664133, 89.091190, 90.603156, 98.703030, 325.284927], [88.576742, 89.037865, 92.137821, 95.454709, 314.625486]]
### 4
mean: [5.400362, -1.296816, 0.115601, 1.825802, 5.348739, 4.647449]
std: [6.948569, 1.205776, 1.115016, 2.626135, 7.367049, 7.049931]
pca: [[0.547521, 0.068466, -0.047449, 0.803030, 0.198096, -0.095827, 0.000000, 0.000000, 0.000000, 0.000000], [-0.090327, -0.407931, 0.583622, 0.021405, 0.607730, 0.339152, 0.000000, 0.000000, 0.000000, 0.000000], [-0.064726, 0.860869, 0.068796, -0.136947, 0.478060, 0.051827, 0.000000, 0.000000, 0.000000, 0.000000], [0.205796, 0.271633, 0.731669, 0.037856, -0.571320, 0.143818, 0.000000, 0.000000, 0.000000, 0.000000], [0.580501, -0.016095, -0.289949, -0.324987, -0.018332, 0.687559, 0.000000, 0.000000, 0.000000, 0.000000], [0.555463, -0.117328, 0.181632, -0.478415, 0.190098, -0.616187, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[120.903069, 122.040780, 124.782165, 135.160136, 486.032604], [20.099657, 21.302840, 22.436277, 26.279905, 116.713397], [17.716693, 17.918887, 18.027731, 20.326506, 24.684186], [45.457504, 47.409906, 47.917067, 52.586085, 164.322172], [128.799902, 128.887025, 131.964025, 142.748494, 481.386510], [123.969358, 125.330412, 126.243984, 137.107693, 418.270383]]
### 6
mean: [-1.942399, -1.162069, -7.439789, -11.252417, 5.639167, 6.040668]
std: [1.756073, 0.955486, 10.176892, 15.689636, 7.764389, 7.750341]
pca: [[0.080324, 0.343316, 0.244376, 0.184517, -0.218495, 0.856840, 0.000000, 0.000000, 0.000000, 0.000000], [0.043717, -0.126041, -0.175824, 0.936454, 0.270245, -0.036199, 0.000000, 0.000000, 0.000000, 0.000000], [0.467472, -0.031001, 0.733005, -0.031024, 0.479385, -0.111534, 0.000000, 0.000000, 0.000000, 0.000000], [0.720702, 0.432800, -0.519547, -0.104253, 0.102584, -0.044187, 0.000000, 0.000000, 0.000000, 0.000000], [-0.356280, 0.819779, 0.196331, 0.142953, 0.021953, -0.376249, 0.000000, 0.000000, 0.000000, 0.000000], [-0.356035, 0.077023, -0.252180, -0.238205, 0.799007, 0.329482, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.039787, 31.540705, 31.886268, 34.525641, 174.815961], [16.372095, 16.873177, 17.554765, 17.681742, 104.586208], [178.974904, 180.788869, 182.177970, 197.896199, 669.581039], [273.578615, 275.452072, 277.498742, 307.227974, 1012.717444], [135.342646, 138.963339, 141.673885, 149.884959, 507.525009], [135.606985, 137.285888, 138.318985, 150.593743, 543.660095]]
### 8
mean: [-5.263896, -4.896823, -5.306052, -5.766145, 6.974945, 4.782512]
std: [6.649241, 5.680911, 6.438503, 7.343867, 8.865863, 6.323509]
pca: [[-0.390468, 0.244208, 0.373334, -0.490549, -0.630982, -0.098703, 0.000000, 0.000000, 0.000000, 0.000000], [-0.331811, 0.695540, -0.380678, 0.224686, 0.002805, 0.459041, 0.000000, 0.000000, 0.000000, 0.000000], [-0.378033, 0.264590, 0.552028, 0.085633, 0.637398, -0.262181, 0.000000, 0.000000, 0.000000, 0.000000], [-0.430579, -0.539131, 0.277457, 0.208015, -0.038962, 0.634168, 0.000000, 0.000000, 0.000000, 0.000000], [0.520801, 0.210737, 0.328374, -0.464709, 0.227948, 0.555529, 0.000000, 0.000000, 0.000000, 0.000000], [0.371343, 0.226952, 0.475562, 0.665072, -0.376960, -0.004307, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[114.375805, 115.647501, 117.438776, 131.511837, 473.750612], [96.537249, 100.265982, 105.326019, 114.766262, 440.714089], [110.386314, 112.093054, 113.457976, 127.454839, 477.544698], [129.504109, 130.116439, 135.927593, 140.124822, 518.952989], [155.721455, 157.077527, 159.185828, 172.219728, 627.745010], [110.954698, 112.349676, 114.452388, 122.399099, 430.426138]]
### 10
mean: [-4.865273]
std: [6.201220]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[108.569238, 110.057810, 110.545114, 120.892745, 437.874519]]
## 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.
|
no_repeats
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.620733,
-0.249905,
-0.022874,
0.125007,
-0.29517
],
[
1.453506,
0.599887,
0.055506,
-0.277892,
-0.604032
],
[
-0.285374,
-0.409078,
-0.024952,
-0.035873,
-0.140176
],
[
-1.367627,
0.257174,
0.578997,
0.329222,
0.523688
],
[
1.183181,
0.071502,
0.132792,
-0.491122,
-0.448548
],
[
0.181381,
-0.609288,
-0.48874,
-0.465229,
-0.257082
]
],
"network.0.bias": [
0.294473,
0.237231,
-0.240779,
-0.54415,
0.093091,
-0.047268
],
"network.2.weight": [
[
0.25714,
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0.076115,
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0.357977
],
[
-0.214296,
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0.228694,
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[
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0.064548
],
[
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0.014937,
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0.101957,
0.058371
],
[
0.708946,
0.528694,
-0.370986,
-0.064251,
0.625287,
-0.042204
],
[
0.479785,
0.852407,
-0.016622,
-0.324649,
0.380548,
-0.072397
]
],
"network.2.bias": [
-0.493622,
0.021911,
-0.420457,
-0.079114,
0.402925,
0.706014
],
"network.4.weight": [
[
-0.094254,
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-0.331681,
0.369403,
0.7925,
0.569345
],
[
0.501417,
0.005561,
-0.402339,
0.000209,
0.136679,
-0.401505
],
[
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0.915994,
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0.01984,
-0.099773
],
[
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0.054601,
0.283941,
0.716162,
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],
[
0.202167,
0.501528,
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0.12189,
0.705553,
0.7313
],
[
0.016445,
0.238005,
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0.727719,
0.908151,
0.454775
]
],
"network.4.bias": [
0.711966,
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0.451161,
0.093283
],
"network.6.weight": [
[
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0.009304,
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],
[
0.111383,
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0.027423,
0.207604,
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0.335003
],
[
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0.13618
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[
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0.754042,
0.349844,
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],
[
0.412568,
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0.441417,
0.461929
],
[
0.964917,
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0.073476
]
],
"network.6.bias": [
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0.503568,
0.402912
],
"network.8.weight": [
[
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-0.311393,
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],
[
0.032204,
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-0.595842,
-0.165874
],
[
-0.535656,
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0.066681,
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-0.624096
],
[
0.116542,
0.643342,
0.622732,
0.636562,
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],
[
0.130847,
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0.663825,
0.48391
],
[
0.218451,
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0.573471,
0.242968
]
],
"network.8.bias": [
0.015431,
-0.224182,
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0.267593,
0.0688
],
"network.10.weight": [
[
-0.005603,
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0.311916,
-0.427456,
-0.38555
]
],
"network.10.bias": [
-0.010219
]
}
## Activation Signature
### 0
mean: [1.712247, 1.914215, -1.643276, 0.783883, 0.366780, -3.267455]
std: [3.076544, 3.554653, 1.184780, 2.845477, 2.790795, 2.119175]
pca: [[0.499041, -0.090593, 0.767936, 0.283727, 0.084533, 0.255693, 0.000000, 0.000000, 0.000000, 0.000000], [0.583115, -0.271615, -0.464066, -0.309360, 0.356350, 0.384910, 0.000000, 0.000000, 0.000000, 0.000000], [-0.124582, 0.313389, -0.025223, 0.297788, 0.872496, -0.188951, 0.000000, 0.000000, 0.000000, 0.000000], [-0.428894, -0.458301, -0.157208, 0.537868, 0.032069, 0.539412, 0.000000, 0.000000, 0.000000, 0.000000], [0.459543, 0.071704, -0.394285, 0.664931, -0.271141, -0.335509, 0.000000, 0.000000, 0.000000, 0.000000], [0.016875, 0.777576, -0.118767, 0.060676, -0.173415, 0.589263, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[55.485198, 56.838394, 58.259996, 66.270951, 154.102232], [54.714266, 57.495599, 60.418937, 69.271378, 172.279374], [16.678662, 17.691324, 20.902815, 23.376521, 147.894843], [45.681109, 46.088721, 53.627119, 56.405421, 70.549432], [42.592524, 44.300700, 45.028436, 52.798036, 57.456546], [32.969138, 35.837856, 36.200228, 37.358319, 294.070920]]
### 2
mean: [-1.828166, -1.699129, -1.216068, -2.986102, 3.614277, 3.495838]
std: [0.979830, 1.645847, 3.595464, 2.972731, 4.988903, 5.086719]
pca: [[-0.057312, -0.470995, 0.761799, -0.272300, -0.323475, -0.125529, 0.000000, 0.000000, 0.000000, 0.000000], [-0.182175, -0.348552, 0.169689, 0.203992, 0.852641, -0.218906, 0.000000, 0.000000, 0.000000, 0.000000], [-0.405278, 0.594263, 0.483132, -0.023993, 0.184820, 0.463089, 0.000000, 0.000000, 0.000000, 0.000000], [-0.334636, -0.525883, -0.188774, 0.337788, -0.160181, 0.660357, 0.000000, 0.000000, 0.000000, 0.000000], [0.580205, 0.093581, 0.348928, 0.722710, -0.058452, 0.084428, 0.000000, 0.000000, 0.000000, 0.000000], [0.592164, -0.134971, 0.008032, -0.497247, 0.324244, 0.527894, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.818671, 16.482540, 17.524947, 18.699529, 164.534953], [28.554602, 29.101016, 30.334937, 30.682227, 152.921642], [63.234540, 63.835167, 64.349058, 66.493619, 109.446104], [52.958056, 53.490407, 54.534017, 55.648158, 268.749209], [85.664133, 89.091190, 90.603156, 98.703030, 325.284927], [88.576742, 89.037865, 92.137821, 95.454709, 314.625486]]
### 4
mean: [5.400362, -1.296816, 0.115601, 1.825802, 5.348739, 4.647449]
std: [6.948569, 1.205776, 1.115016, 2.626135, 7.367049, 7.049931]
pca: [[0.547521, 0.068466, -0.047449, 0.803030, 0.198096, -0.095827, 0.000000, 0.000000, 0.000000, 0.000000], [-0.090327, -0.407931, 0.583622, 0.021405, 0.607730, 0.339152, 0.000000, 0.000000, 0.000000, 0.000000], [-0.064726, 0.860869, 0.068796, -0.136947, 0.478060, 0.051827, 0.000000, 0.000000, 0.000000, 0.000000], [0.205796, 0.271633, 0.731669, 0.037856, -0.571320, 0.143818, 0.000000, 0.000000, 0.000000, 0.000000], [0.580501, -0.016095, -0.289949, -0.324987, -0.018332, 0.687559, 0.000000, 0.000000, 0.000000, 0.000000], [0.555463, -0.117328, 0.181632, -0.478415, 0.190098, -0.616187, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[120.903069, 122.040780, 124.782165, 135.160136, 486.032604], [20.099657, 21.302840, 22.436277, 26.279905, 116.713397], [17.716693, 17.918887, 18.027731, 20.326506, 24.684186], [45.457504, 47.409906, 47.917067, 52.586085, 164.322172], [128.799902, 128.887025, 131.964025, 142.748494, 481.386510], [123.969358, 125.330412, 126.243984, 137.107693, 418.270383]]
### 6
mean: [-1.942399, -1.162069, -7.439789, -11.252417, 5.639167, 6.040668]
std: [1.756073, 0.955486, 10.176892, 15.689636, 7.764389, 7.750341]
pca: [[0.080324, 0.343316, 0.244376, 0.184517, -0.218495, 0.856840, 0.000000, 0.000000, 0.000000, 0.000000], [0.043717, -0.126041, -0.175824, 0.936454, 0.270245, -0.036199, 0.000000, 0.000000, 0.000000, 0.000000], [0.467472, -0.031001, 0.733005, -0.031024, 0.479385, -0.111534, 0.000000, 0.000000, 0.000000, 0.000000], [0.720702, 0.432800, -0.519547, -0.104253, 0.102584, -0.044187, 0.000000, 0.000000, 0.000000, 0.000000], [-0.356280, 0.819779, 0.196331, 0.142953, 0.021953, -0.376249, 0.000000, 0.000000, 0.000000, 0.000000], [-0.356035, 0.077023, -0.252180, -0.238205, 0.799007, 0.329482, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.039787, 31.540705, 31.886268, 34.525641, 174.815961], [16.372095, 16.873177, 17.554765, 17.681742, 104.586208], [178.974904, 180.788869, 182.177970, 197.896199, 669.581039], [273.578615, 275.452072, 277.498742, 307.227974, 1012.717444], [135.342646, 138.963339, 141.673885, 149.884959, 507.525009], [135.606985, 137.285888, 138.318985, 150.593743, 543.660095]]
### 8
mean: [-5.263896, -4.896823, -5.306052, -5.766145, 6.974945, 4.782512]
std: [6.649241, 5.680911, 6.438503, 7.343867, 8.865863, 6.323509]
pca: [[-0.390468, 0.244208, 0.373334, -0.490549, -0.630982, -0.098703, 0.000000, 0.000000, 0.000000, 0.000000], [-0.331811, 0.695540, -0.380678, 0.224686, 0.002805, 0.459041, 0.000000, 0.000000, 0.000000, 0.000000], [-0.378033, 0.264590, 0.552028, 0.085633, 0.637398, -0.262181, 0.000000, 0.000000, 0.000000, 0.000000], [-0.430579, -0.539131, 0.277457, 0.208015, -0.038962, 0.634168, 0.000000, 0.000000, 0.000000, 0.000000], [0.520801, 0.210737, 0.328374, -0.464709, 0.227948, 0.555529, 0.000000, 0.000000, 0.000000, 0.000000], [0.371343, 0.226952, 0.475562, 0.665072, -0.376960, -0.004307, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[114.375805, 115.647501, 117.438776, 131.511837, 473.750612], [96.537249, 100.265982, 105.326019, 114.766262, 440.714089], [110.386314, 112.093054, 113.457976, 127.454839, 477.544698], [129.504109, 130.116439, 135.927593, 140.124822, 518.952989], [155.721455, 157.077527, 159.185828, 172.219728, 627.745010], [110.954698, 112.349676, 114.452388, 122.399099, 430.426138]]
### 10
mean: [-4.865273]
std: [6.201220]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[108.569238, 110.057810, 110.545114, 120.892745, 437.874519]]
## 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.
no_repeats
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.7122472524642944, "std": 3.0765438079833984, "pca": [0.49904078245162964, -0.09059270471334457, 0.7679357528686523, 0.2837269604206085, 0.08453334122896194, 0.25569337606430054, 0.0, 0.0, 0.0, 0.0], "fourier": [55.48519790640195, 56.838394007521785, 58.259996412090125, 66.27095105809008, 154.10223227739334]}, "1": {"mean": 1.9142152070999146, "std": 3.5546531677246094, "pca": [0.5831146836280823, -0.2716153860092163, -0.46406638622283936, -0.3093596398830414, 0.3563504219055176, 0.3849100172519684, 0.0, 0.0, 0.0, 0.0], "fourier": [54.71426611792566, 57.49559920497171, 60.41893731554837, 69.27137788436941, 172.27937439084053]}, "2": {"mean": -1.6432759761810303, "std": 1.1847798824310303, "pca": [-0.12458202987909317, 0.31338948011398315, -0.025223277509212494, 0.2977883517742157, 0.8724963665008545, -0.18895071744918823, 0.0, 0.0, 0.0, 0.0], "fourier": [16.67866211159316, 17.691324023403638, 20.90281501543862, 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"sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.620733, -0.249905, -0.022874, 0.125007, -0.29517], [1.453506, 0.599887, 0.055506, -0.277892, -0.604032], [-0.285374, -0.409078, -0.024952, -0.035873, -0.140176], [-1.367627, 0.257174, 0.578997, 0.329222, 0.523688], [1.183181, 0.071502, 0.132792, -0.491122, -0.448548], [0.181381, -0.609288, -0.48874, -0.465229, -0.257082]], "network.0.bias": [0.294473, 0.237231, -0.240779, -0.54415, 0.093091, -0.047268], "network.2.weight": [[0.25714, -0.36232, 0.076115, -0.456148, -0.233423, 0.357977], [-0.214296, -0.378254, 0.228694, -0.280149, -0.005473, -0.525513], [0.243015, -0.644963, -0.253445, 0.696322, -0.759304, 0.064548], [-0.666759, -0.490924, 0.014937, -0.400134, 0.101957, 0.058371], [0.708946, 0.528694, -0.370986, -0.064251, 0.625287, -0.042204], [0.479785, 0.852407, -0.016622, -0.324649, 0.380548, -0.072397]], "network.2.bias": [-0.493622, 0.021911, -0.420457, -0.079114, 0.402925, 0.706014], "network.4.weight": [[-0.094254, -0.112838, -0.331681, 0.369403, 0.7925, 0.569345], [0.501417, 0.005561, -0.402339, 0.000209, 0.136679, -0.401505], [-0.017887, -0.012695, 0.915994, -0.171389, 0.01984, -0.099773], [-0.288796, -0.310721, 0.054601, 0.283941, 0.716162, -0.185181], [0.202167, 0.501528, -0.419027, 0.12189, 0.705553, 0.7313], [0.016445, 0.238005, -0.547732, 0.727719, 0.908151, 0.454775]], "network.4.bias": [0.711966, -0.087722, -0.199006, -0.134908, 0.451161, 0.093283], "network.6.weight": [[-0.311755, -0.377089, -0.054581, -0.317067, 0.009304, 0.166317], [0.111383, -0.207766, 0.027423, 0.207604, -0.625108, 0.335003], [-1.055, -0.607951, 0.725135, -0.413482, -0.337157, 0.13618], [-0.71139, -0.593245, 0.754042, 0.349844, -0.568552, -1.048559], [0.412568, 0.112824, -0.86976, -0.706043, 0.441417, 0.461929], [0.964917, 0.55562, -0.485985, -0.113665, 0.092426, 0.073476]], "network.6.bias": [-0.498639, -0.386187, -0.15374, -0.273929, 0.503568, 0.402912], "network.8.weight": [[-0.029531, 0.15164, -0.482373, 0.260786, -0.311393, -0.560736], [0.032204, 0.449474, -0.378415, -0.641932, -0.595842, -0.165874], [-0.535656, -0.040768, -0.339603, 0.066681, -0.22058, -0.624096], [0.116542, 0.643342, 0.622732, 0.636562, -0.286707, -0.64674], [0.130847, -0.443767, -0.655909, -0.112248, 0.663825, 0.48391], [0.218451, -0.043029, -0.263803, -0.430206, 0.573471, 0.242968]], "network.8.bias": [0.015431, -0.224182, -0.158223, -0.355217, 0.267593, 0.0688], "network.10.weight": [[-0.005603, 0.35855, -0.007184, 0.311916, -0.427456, -0.38555]], "network.10.bias": [-0.010219]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.68868687748909, "train_acc": 0.595, "val_loss": 0.7488245964050293, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6690332889556885, "train_acc": 0.595, "val_loss": 0.7217728495597839, "val_acc": 0.42}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6635574996471405, "train_acc": 0.595, "val_loss": 0.72796231508255, "val_acc": 0.42}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6471977829933167, "train_acc": 0.595, "val_loss": 0.6974212527275085, "val_acc": 0.42}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.755170613527298, "train_acc": 0.52, "val_loss": 0.6470568776130676, "val_acc": 0.42}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.6179093420505524, "train_acc": 0.52, "val_loss": 0.6520949006080627, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.6540185511112213, "train_acc": 0.64, "val_loss": 0.6388505697250366, "val_acc": 0.7}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.6570296883583069, "train_acc": 0.595, "val_loss": 0.6134706735610962, "val_acc": 0.7}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.6331847906112671, "train_acc": 0.6, "val_loss": 0.573443591594696, "val_acc": 0.7}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.6016065180301666, "train_acc": 0.62, "val_loss": 0.5349112153053284, "val_acc": 0.72}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.565738707780838, "train_acc": 0.69, "val_loss": 0.5015578269958496, "val_acc": 0.74}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.4990376830101013, "train_acc": 0.745, "val_loss": 0.6016591787338257, "val_acc": 0.66}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.5142900347709656, "train_acc": 0.72, "val_loss": 0.4850509762763977, "val_acc": 0.76}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.47135408222675323, "train_acc": 0.775, "val_loss": 0.4663560390472412, "val_acc": 0.78}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.7488245964050293, "final_val_loss": 0.6974212527275085, "initial_val_acc": 0.42, "final_val_acc": 0.42, "best_val_acc": 0.42}, "improved_stage": {"initial_val_loss": 0.6470568776130676, "final_val_loss": 0.4663560390472412, "initial_val_acc": 0.42, "final_val_acc": 0.78, "best_val_acc": 0.78, "best_epoch": 13}, "improvement": 0.36000000000000004, "first_improvement_epoch": 3}}
|
9,471
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.52, "improved_accuracy": 0.9, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4610, "learning_rate": 0.05171982506879594, "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: 5
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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],
[
1.550415,
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],
[
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]
],
"network.0.bias": [
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"network.4.bias": [
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"network.6.weight": [
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[
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"network.6.bias": [
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"network.8.weight": [
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[
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],
"network.12.bias": [
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}
## Activation Signature
### 0
mean: [-1.227064, -3.309287, -2.099787, 3.943812, -2.172466]
std: [1.423780, 3.836581, 2.497680, 4.149831, 2.089770]
pca: [[-0.226531, -0.071794, 0.136541, 0.001793, 0.961708, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.561117, 0.726412, -0.395391, 0.025747, -0.021854, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.372406, 0.161837, 0.853646, 0.259759, -0.197322, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.641435, 0.514915, 0.060675, 0.536071, 0.179917, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.289320, -0.419337, -0.304351, 0.802800, -0.057740, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.090170, 25.305405, 26.812960, 26.920379, 110.435789], [59.709012, 65.253162, 76.913653, 78.697077, 297.835790], [42.130302, 43.871628, 47.905366, 56.515396, 188.980774], [65.672175, 70.661342, 71.934155, 77.128097, 354.943060], [32.651204, 33.842948, 37.184768, 41.139188, 195.521922]]
### 2
mean: [1.538181, 0.147149, 3.157502, 3.332048, -0.024111]
std: [1.559044, 0.397684, 3.153349, 3.335372, 0.548361]
pca: [[0.315471, -0.433700, 0.768237, -0.332243, -0.108664, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.034854, 0.511631, 0.242191, -0.379951, 0.730753, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.648297, 0.411910, 0.223025, 0.599935, -0.019458, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.688439, -0.100582, -0.539106, -0.473302, 0.035841, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.070894, 0.608565, 0.103821, -0.401640, -0.672703, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.776634, 27.618654, 28.081225, 30.149123, 138.436321], [5.651867, 5.997539, 6.482361, 9.314191, 13.243388], [51.455200, 54.624727, 54.970020, 58.396897, 284.175209], [54.238560, 58.318429, 58.574972, 63.515977, 299.884340], [7.879174, 7.958835, 8.709205, 8.771077, 10.353143]]
### 4
mean: [-0.331534, -1.820994, 5.677303, 4.078910, -0.514232]
std: [1.231770, 2.276970, 6.517781, 4.573740, 0.796695]
pca: [[-0.141691, 0.814942, 0.192329, -0.356211, 0.389765, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.270543, -0.281043, 0.920407, -0.017397, 0.019197, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.775780, 0.170490, 0.284616, -0.271494, -0.463016, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.544404, -0.091068, 0.125337, 0.419382, 0.709747, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.092308, 0.468534, 0.138362, 0.789443, -0.359986, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.930598, 21.653307, 21.712051, 21.955620, 29.838028], [37.040915, 40.347919, 40.820919, 41.185391, 163.889475], [105.941442, 114.030668, 115.062763, 120.565056, 510.957256], [74.131115, 80.102107, 80.971392, 84.488471, 367.101881], [12.277582, 13.983217, 14.136150, 14.391578, 46.280867]]
### 6
mean: [-4.862040, 8.567149, -4.642534, -4.446416, -4.921004]
std: [4.147896, 9.925460, 4.130267, 4.154311, 4.304686]
pca: [[-0.319137, 0.752981, -0.451704, -0.131338, -0.331489, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.764598, 0.479424, 0.260372, 0.318368, -0.128028, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.318147, 0.115762, 0.802388, -0.239146, -0.429377, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.320033, -0.145789, -0.024891, 0.873663, -0.335287, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.331516, 0.410509, 0.289351, 0.246808, 0.759567, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[65.613360, 68.946641, 72.333689, 74.179234, 437.583558], [158.564504, 171.180545, 172.651718, 179.390932, 771.043496], [66.806417, 70.739181, 72.791979, 75.516188, 417.828043], [66.460522, 71.565798, 72.456812, 75.144284, 400.177445], [68.962647, 72.822666, 75.586664, 77.990836, 442.890360]]
### 8
mean: [4.423345, 2.951431, -1.717882, 9.042090, 5.592380]
std: [5.584219, 2.383869, 3.213935, 10.140553, 6.562908]
pca: [[0.401878, -0.130970, 0.659884, -0.365040, -0.502632, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.171550, 0.180525, 0.196566, 0.898236, -0.304164, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.231093, 0.923840, 0.045340, -0.221026, -0.205446, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.729786, 0.143642, -0.628051, -0.100410, -0.205546, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.472306, 0.275944, 0.359738, 0.031357, 0.755240, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[88.311613, 95.193805, 95.828763, 99.839915, 398.101017], [37.466172, 40.454640, 40.969134, 42.359077, 265.628762], [51.580310, 54.833313, 55.410653, 58.289305, 154.609355], [159.992590, 172.530729, 174.074312, 180.866204, 813.788085], [103.385510, 111.536059, 112.749231, 116.880396, 503.314193]]
### 10
mean: [-2.969202, 3.103152, 16.662655, -9.549978, 15.492299]
std: [4.200610, 6.460547, 19.653414, 13.328934, 18.175234]
pca: [[-0.135862, -0.636379, -0.290448, 0.612422, 0.342261, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.209095, 0.667239, -0.581180, 0.306908, 0.281262, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.636460, 0.035309, 0.397149, 0.560904, -0.348326, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.431629, 0.347119, 0.625795, 0.307420, 0.455058, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.588588, -0.167556, 0.168885, -0.348750, 0.689449, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[67.902454, 71.302174, 72.681496, 76.702275, 267.228209], [104.476209, 109.892122, 111.322285, 116.805326, 279.283624], [312.411236, 335.855945, 335.859272, 351.560448, 1499.638866], [211.720876, 227.107554, 228.039118, 237.250778, 859.497988], [288.597007, 310.265962, 310.741025, 324.617906, 1394.306983]]
### 12
mean: [-22.161310]
std: [27.188478]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[431.461954, 462.821492, 464.303513, 484.038687, 1994.517993]]
## 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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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-0.125214,
-0.164693,
-0.087144,
-0.046501
],
[
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-1.186618,
0.480583,
0.032993
],
[
-1.028568,
0.099802,
-0.313838,
0.04029,
-0.322909
],
[
1.550415,
0.722754,
0.28788,
0.369915,
-0.019177
],
[
-0.846572,
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0.365372
]
],
"network.0.bias": [
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],
"network.2.weight": [
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],
[
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-0.029677,
0.160555
],
[
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0.766941,
-0.367268
],
[
-0.057412,
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0.56692,
0.807308,
-0.18013
],
[
-0.160777,
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]
],
"network.2.bias": [
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0.045792,
-0.013422,
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],
"network.4.weight": [
[
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-0.243552,
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],
[
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-0.517119,
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1.067431
],
[
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1.068303,
-1.130854
],
[
0.690102,
-0.759993,
0.297157,
0.71886,
-0.634879
],
[
-0.271673,
0.162164,
0.255871,
-0.323509,
0.40586
]
],
"network.4.bias": [
0.612895,
0.073397,
-0.377137,
-0.101661,
0.106455
],
"network.6.weight": [
[
-0.527343,
-0.192414,
-0.559513,
-0.152975,
0.211199
],
[
-0.985231,
0.039206,
0.969241,
0.770007,
-0.191046
],
[
-0.422515,
0.623286,
-0.375138,
-0.390137,
0.535316
],
[
0.012293,
0.013023,
-0.148551,
-0.697768,
0.672221
],
[
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-0.385455,
-0.42248,
0.001269
]
],
"network.6.bias": [
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-0.774358,
-0.696854,
-0.874155
],
"network.8.weight": [
[
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0.566984,
0.333371,
0.40279
],
[
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0.244859,
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0.208001
],
[
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-0.788037,
-0.496996,
-1.019603
],
[
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1.033056,
0.709113,
0.723086,
-0.015402
],
[
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0.323614,
0.165375
]
],
"network.8.bias": [
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],
"network.10.weight": [
[
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0.338289
],
[
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0.556189
],
[
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],
[
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0.93077,
-0.186968,
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],
[
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]
],
"network.10.bias": [
0.387761,
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],
"network.12.weight": [
[
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]
],
"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [-1.227064, -3.309287, -2.099787, 3.943812, -2.172466]
std: [1.423780, 3.836581, 2.497680, 4.149831, 2.089770]
pca: [[-0.226531, -0.071794, 0.136541, 0.001793, 0.961708, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.561117, 0.726412, -0.395391, 0.025747, -0.021854, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.372406, 0.161837, 0.853646, 0.259759, -0.197322, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.641435, 0.514915, 0.060675, 0.536071, 0.179917, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.289320, -0.419337, -0.304351, 0.802800, -0.057740, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.090170, 25.305405, 26.812960, 26.920379, 110.435789], [59.709012, 65.253162, 76.913653, 78.697077, 297.835790], [42.130302, 43.871628, 47.905366, 56.515396, 188.980774], [65.672175, 70.661342, 71.934155, 77.128097, 354.943060], [32.651204, 33.842948, 37.184768, 41.139188, 195.521922]]
### 2
mean: [1.538181, 0.147149, 3.157502, 3.332048, -0.024111]
std: [1.559044, 0.397684, 3.153349, 3.335372, 0.548361]
pca: [[0.315471, -0.433700, 0.768237, -0.332243, -0.108664, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.034854, 0.511631, 0.242191, -0.379951, 0.730753, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.648297, 0.411910, 0.223025, 0.599935, -0.019458, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.688439, -0.100582, -0.539106, -0.473302, 0.035841, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.070894, 0.608565, 0.103821, -0.401640, -0.672703, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.776634, 27.618654, 28.081225, 30.149123, 138.436321], [5.651867, 5.997539, 6.482361, 9.314191, 13.243388], [51.455200, 54.624727, 54.970020, 58.396897, 284.175209], [54.238560, 58.318429, 58.574972, 63.515977, 299.884340], [7.879174, 7.958835, 8.709205, 8.771077, 10.353143]]
### 4
mean: [-0.331534, -1.820994, 5.677303, 4.078910, -0.514232]
std: [1.231770, 2.276970, 6.517781, 4.573740, 0.796695]
pca: [[-0.141691, 0.814942, 0.192329, -0.356211, 0.389765, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.270543, -0.281043, 0.920407, -0.017397, 0.019197, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.775780, 0.170490, 0.284616, -0.271494, -0.463016, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.544404, -0.091068, 0.125337, 0.419382, 0.709747, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.092308, 0.468534, 0.138362, 0.789443, -0.359986, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.930598, 21.653307, 21.712051, 21.955620, 29.838028], [37.040915, 40.347919, 40.820919, 41.185391, 163.889475], [105.941442, 114.030668, 115.062763, 120.565056, 510.957256], [74.131115, 80.102107, 80.971392, 84.488471, 367.101881], [12.277582, 13.983217, 14.136150, 14.391578, 46.280867]]
### 6
mean: [-4.862040, 8.567149, -4.642534, -4.446416, -4.921004]
std: [4.147896, 9.925460, 4.130267, 4.154311, 4.304686]
pca: [[-0.319137, 0.752981, -0.451704, -0.131338, -0.331489, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.764598, 0.479424, 0.260372, 0.318368, -0.128028, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.318147, 0.115762, 0.802388, -0.239146, -0.429377, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.320033, -0.145789, -0.024891, 0.873663, -0.335287, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.331516, 0.410509, 0.289351, 0.246808, 0.759567, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[65.613360, 68.946641, 72.333689, 74.179234, 437.583558], [158.564504, 171.180545, 172.651718, 179.390932, 771.043496], [66.806417, 70.739181, 72.791979, 75.516188, 417.828043], [66.460522, 71.565798, 72.456812, 75.144284, 400.177445], [68.962647, 72.822666, 75.586664, 77.990836, 442.890360]]
### 8
mean: [4.423345, 2.951431, -1.717882, 9.042090, 5.592380]
std: [5.584219, 2.383869, 3.213935, 10.140553, 6.562908]
pca: [[0.401878, -0.130970, 0.659884, -0.365040, -0.502632, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.171550, 0.180525, 0.196566, 0.898236, -0.304164, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.231093, 0.923840, 0.045340, -0.221026, -0.205446, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.729786, 0.143642, -0.628051, -0.100410, -0.205546, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.472306, 0.275944, 0.359738, 0.031357, 0.755240, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[88.311613, 95.193805, 95.828763, 99.839915, 398.101017], [37.466172, 40.454640, 40.969134, 42.359077, 265.628762], [51.580310, 54.833313, 55.410653, 58.289305, 154.609355], [159.992590, 172.530729, 174.074312, 180.866204, 813.788085], [103.385510, 111.536059, 112.749231, 116.880396, 503.314193]]
### 10
mean: [-2.969202, 3.103152, 16.662655, -9.549978, 15.492299]
std: [4.200610, 6.460547, 19.653414, 13.328934, 18.175234]
pca: [[-0.135862, -0.636379, -0.290448, 0.612422, 0.342261, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.209095, 0.667239, -0.581180, 0.306908, 0.281262, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.636460, 0.035309, 0.397149, 0.560904, -0.348326, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.431629, 0.347119, 0.625795, 0.307420, 0.455058, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.588588, -0.167556, 0.168885, -0.348750, 0.689449, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[67.902454, 71.302174, 72.681496, 76.702275, 267.228209], [104.476209, 109.892122, 111.322285, 116.805326, 279.283624], [312.411236, 335.855945, 335.859272, 351.560448, 1499.638866], [211.720876, 227.107554, 228.039118, 237.250778, 859.497988], [288.597007, 310.265962, 310.741025, 324.617906, 1394.306983]]
### 12
mean: [-22.161310]
std: [27.188478]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[431.461954, 462.821492, 464.303513, 484.038687, 1994.517993]]
## 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
|
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"fourier": [288.59700687777223, 310.26596219645427, 310.74102501188713, 324.61790555276656, 1394.3069833815098]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "12": {"neuron_profiles": {"0": {"mean": -22.16131019592285, "std": 27.188478469848633, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [431.46195360651086, 462.82149201653243, 464.30351277602864, 484.0386865352853, 1994.517992734909]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "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": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.567757, -0.125214, -0.164693, -0.087144, -0.046501], [-0.999366, -0.304354, -1.186618, 0.480583, 0.032993], [-1.028568, 0.099802, -0.313838, 0.04029, -0.322909], [1.550415, 0.722754, 0.28788, 0.369915, -0.019177], [-0.846572, -0.081172, -0.17776, -0.486436, 0.365372]], "network.0.bias": [0.295897, -0.103593, -0.034225, -0.673573, -0.00721], "network.2.weight": [[-0.704966, 1.173899, 0.915753, 0.360652, -0.239973], [-0.260534, -0.784798, -0.732374, -0.029677, 0.160555], [-0.350207, 0.572399, 0.407758, 0.766941, -0.367268], [-0.057412, 1.470948, 0.56692, 0.807308, -0.18013], [-0.160777, -0.997421, -0.785095, -0.070527, 0.299506]], "network.2.bias": [-0.036125, 0.31225, 0.045792, -0.013422, 0.332204], "network.4.weight": [[-0.708493, 0.399053, 0.264434, -0.243552, 0.478822], [-0.179461, 0.465739, -0.517119, -0.049874, 1.067431], [0.784358, -0.49081, 0.483428, 1.068303, -1.130854], [0.690102, -0.759993, 0.297157, 0.71886, -0.634879], [-0.271673, 0.162164, 0.255871, -0.323509, 0.40586]], "network.4.bias": [0.612895, 0.073397, -0.377137, -0.101661, 0.106455], "network.6.weight": [[-0.527343, -0.192414, -0.559513, -0.152975, 0.211199], [-0.985231, 0.039206, 0.969241, 0.770007, -0.191046], [-0.422515, 0.623286, -0.375138, -0.390137, 0.535316], [0.012293, 0.013023, -0.148551, -0.697768, 0.672221], [-0.348585, 0.294445, -0.385455, -0.42248, 0.001269]], "network.6.bias": [-0.860746, -0.025426, -0.774358, -0.696854, -0.874155], "network.8.weight": [[0.134854, 0.566112, 0.566984, 0.333371, 0.40279], [-0.654246, 0.244859, 0.060994, 0.248931, 0.208001], [-1.071543, -0.313794, -0.788037, -0.496996, -1.019603], [0.127976, 1.033056, 0.709113, 0.723086, -0.015402], [-0.239056, 0.671213, 0.178773, 0.323614, 0.165375]], "network.8.bias": [-0.458901, 0.804617, 0.859478, 0.077913, -0.260899], "network.10.weight": [[-0.177563, -0.012687, 0.587108, -0.512213, 0.338289], [1.092143, -0.396583, -1.181462, -0.253962, 0.556189], [0.614002, 0.551146, -1.018769, 1.030149, 0.643951], [-1.466462, 0.858293, 0.93077, -0.186968, -0.804212], [0.730424, 0.216291, -0.88008, 0.932555, 0.60491]], "network.10.bias": [0.387761, -1.140764, -0.34484, 0.589889, -0.031591], "network.12.weight": [[0.079987, -0.265502, -0.779447, 0.679317, -0.570376]], "network.12.bias": [0.71687]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.711440920829773, "train_acc": 0.425, "val_loss": 0.6922290325164795, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6845971643924713, "train_acc": 0.575, "val_loss": 0.6996186971664429, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6964385509490967, "train_acc": 0.575, "val_loss": 0.7048323154449463, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6418459713459015, "train_acc": 0.575, "val_loss": 0.6602006554603577, "val_acc": 0.52}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.5862379670143127, "train_acc": 0.575, "val_loss": 0.6128867268562317, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.5914732217788696, "train_acc": 0.495, "val_loss": 0.5808037519454956, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5108851790428162, "train_acc": 0.83, "val_loss": 0.5066590905189514, "val_acc": 0.74}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.4023769050836563, "train_acc": 0.84, "val_loss": 0.45469993352890015, "val_acc": 0.76}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.3050493150949478, "train_acc": 0.895, "val_loss": 0.4537656903266907, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.23398099094629288, "train_acc": 0.93, "val_loss": 0.4458383321762085, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.22331713140010834, "train_acc": 0.92, "val_loss": 0.38452574610710144, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.23901541531085968, "train_acc": 0.915, "val_loss": 0.47466766834259033, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.18528590351343155, "train_acc": 0.93, "val_loss": 0.37541285157203674, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.17161095142364502, "train_acc": 0.955, "val_loss": 0.3510912358760834, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.21328793466091156, "train_acc": 0.935, "val_loss": 0.26648521423339844, "val_acc": 0.9}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6922290325164795, "final_val_loss": 0.6128867268562317, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.5808037519454956, "final_val_loss": 0.26648521423339844, "initial_val_acc": 0.74, "final_val_acc": 0.9, "best_val_acc": 0.9, "best_epoch": 14}, "improvement": 0.38, "first_improvement_epoch": 4}}
|
9,472
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.52, "improved_accuracy": 0.88, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6679, "learning_rate": 0.09495243820327891, "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: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
mean: [3.013211, -1.973634, 3.461500, 2.254044, -2.789492]
std: [2.741801, 2.012283, 3.341302, 3.346594, 1.763042]
pca: [[0.487080, -0.132296, -0.035509, 0.689181, -0.518670, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.080723, 0.848981, -0.498062, 0.110210, -0.111814, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.608508, 0.007016, -0.227601, 0.123993, 0.749995, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.580285, 0.360539, 0.464850, -0.504845, -0.249655, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.221865, 0.362893, 0.694827, 0.492585, 0.306038, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[44.032479, 44.339661, 44.462572, 44.527416, 271.189014], [29.978717, 31.046312, 31.350347, 39.173678, 177.627092], [50.108639, 57.067696, 58.229735, 63.638462, 311.535043], [52.163483, 53.858279, 53.947963, 58.167445, 202.863984], [27.230410, 27.411427, 31.190487, 35.848368, 251.054305]]
### 2
mean: [-2.592795, -1.277712, -4.009902, 8.030395, -2.713262]
std: [2.022259, 1.150084, 3.075664, 7.708348, 2.258686]
pca: [[-0.226643, 0.133792, 0.482609, -0.577329, 0.603749, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.127826, -0.384128, 0.026174, 0.652443, 0.640109, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.343460, 0.821312, -0.334908, 0.243584, 0.189698, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.866341, 0.356696, 0.223919, 0.157284, 0.217586, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.252550, 0.180997, 0.777239, 0.396155, -0.377385, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.311130, 35.770713, 36.664640, 37.930359, 233.351521], [18.345599, 18.752872, 20.408592, 21.512485, 114.994072], [45.925977, 52.828030, 56.775685, 58.064376, 360.891167], [114.371504, 135.975763, 139.357944, 144.242838, 722.735479], [34.753735, 39.660010, 40.491971, 41.363748, 244.193584]]
### 4
mean: [-2.195429, 4.380042, -1.930240, -5.367174, -2.542470]
std: [2.029502, 4.479814, 1.705777, 5.097426, 1.801604]
pca: [[0.270416, -0.168128, 0.725295, -0.572103, -0.212728, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.596901, 0.538208, 0.449845, -0.014717, 0.389185, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.227282, -0.491051, 0.270252, 0.323831, 0.727536, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.679193, 0.624229, -0.134057, -0.154164, 0.327561, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.240050, 0.226434, 0.424946, 0.737461, -0.408260, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.134957, 35.908932, 36.643292, 38.065142, 197.588594], [66.521141, 79.264684, 80.884677, 84.024262, 394.203728], [25.332783, 30.183129, 30.798741, 31.995526, 173.721577], [75.687494, 90.190545, 92.035492, 95.606190, 483.045622], [26.746870, 31.874812, 32.528152, 33.788789, 228.822307]]
### 6
mean: [-2.071090, 0.566673, -0.808613, -2.117347, 3.140633]
std: [1.906410, 1.134349, 0.373620, 1.698238, 3.604323]
pca: [[-0.416649, 0.616730, 0.070404, -0.045528, 0.662585, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.247914, -0.245945, 0.826447, 0.306393, 0.318055, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.081655, 0.214358, -0.196098, 0.938900, -0.165519, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.371153, 0.382206, 0.523034, -0.125476, -0.653342, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.787731, 0.605909, 0.003249, -0.082304, -0.074632, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.316327, 33.679949, 34.736261, 36.070330, 186.398062], [16.848733, 20.040187, 20.668712, 21.462508, 51.000545], [5.549454, 6.600621, 6.807638, 7.069090, 72.775167], [25.224311, 30.002250, 30.943217, 32.131614, 190.561273], [53.535815, 63.676468, 65.673566, 68.195805, 282.656924]]
### 8
mean: [2.097300, -0.822865, -0.165856, 1.720036, -0.483568]
std: [2.810374, 0.212548, 0.074456, 2.328137, 0.416454]
pca: [[0.763769, -0.251942, -0.549579, 0.033801, -0.223612, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.057618, 0.258854, -0.501465, 0.256044, 0.782719, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.016050, 0.776360, -0.290769, -0.479451, -0.287381, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.632689, 0.404751, 0.596774, 0.118724, 0.256216, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.113066, 0.320877, -0.076226, 0.830259, -0.434872, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.927165, 49.277202, 52.097773, 54.063094, 188.756957], [3.220075, 3.632392, 3.975214, 4.066038, 74.057820], [1.145221, 1.219181, 1.391330, 1.436866, 14.927017], [34.700801, 41.044766, 43.058612, 44.817968, 154.803215], [6.221073, 7.193225, 7.763036, 7.988387, 43.521114]]
### 10
mean: [-1.786521]
std: [3.056091]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[45.743988, 53.002639, 56.916888, 58.830168, 160.786893]]
## 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: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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}
## Activation Signature
### 0
mean: [3.013211, -1.973634, 3.461500, 2.254044, -2.789492]
std: [2.741801, 2.012283, 3.341302, 3.346594, 1.763042]
pca: [[0.487080, -0.132296, -0.035509, 0.689181, -0.518670, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.080723, 0.848981, -0.498062, 0.110210, -0.111814, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.608508, 0.007016, -0.227601, 0.123993, 0.749995, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.580285, 0.360539, 0.464850, -0.504845, -0.249655, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.221865, 0.362893, 0.694827, 0.492585, 0.306038, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[44.032479, 44.339661, 44.462572, 44.527416, 271.189014], [29.978717, 31.046312, 31.350347, 39.173678, 177.627092], [50.108639, 57.067696, 58.229735, 63.638462, 311.535043], [52.163483, 53.858279, 53.947963, 58.167445, 202.863984], [27.230410, 27.411427, 31.190487, 35.848368, 251.054305]]
### 2
mean: [-2.592795, -1.277712, -4.009902, 8.030395, -2.713262]
std: [2.022259, 1.150084, 3.075664, 7.708348, 2.258686]
pca: [[-0.226643, 0.133792, 0.482609, -0.577329, 0.603749, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.127826, -0.384128, 0.026174, 0.652443, 0.640109, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.343460, 0.821312, -0.334908, 0.243584, 0.189698, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.866341, 0.356696, 0.223919, 0.157284, 0.217586, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.252550, 0.180997, 0.777239, 0.396155, -0.377385, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.311130, 35.770713, 36.664640, 37.930359, 233.351521], [18.345599, 18.752872, 20.408592, 21.512485, 114.994072], [45.925977, 52.828030, 56.775685, 58.064376, 360.891167], [114.371504, 135.975763, 139.357944, 144.242838, 722.735479], [34.753735, 39.660010, 40.491971, 41.363748, 244.193584]]
### 4
mean: [-2.195429, 4.380042, -1.930240, -5.367174, -2.542470]
std: [2.029502, 4.479814, 1.705777, 5.097426, 1.801604]
pca: [[0.270416, -0.168128, 0.725295, -0.572103, -0.212728, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.596901, 0.538208, 0.449845, -0.014717, 0.389185, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.227282, -0.491051, 0.270252, 0.323831, 0.727536, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.679193, 0.624229, -0.134057, -0.154164, 0.327561, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.240050, 0.226434, 0.424946, 0.737461, -0.408260, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.134957, 35.908932, 36.643292, 38.065142, 197.588594], [66.521141, 79.264684, 80.884677, 84.024262, 394.203728], [25.332783, 30.183129, 30.798741, 31.995526, 173.721577], [75.687494, 90.190545, 92.035492, 95.606190, 483.045622], [26.746870, 31.874812, 32.528152, 33.788789, 228.822307]]
### 6
mean: [-2.071090, 0.566673, -0.808613, -2.117347, 3.140633]
std: [1.906410, 1.134349, 0.373620, 1.698238, 3.604323]
pca: [[-0.416649, 0.616730, 0.070404, -0.045528, 0.662585, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.247914, -0.245945, 0.826447, 0.306393, 0.318055, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.081655, 0.214358, -0.196098, 0.938900, -0.165519, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.371153, 0.382206, 0.523034, -0.125476, -0.653342, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.787731, 0.605909, 0.003249, -0.082304, -0.074632, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.316327, 33.679949, 34.736261, 36.070330, 186.398062], [16.848733, 20.040187, 20.668712, 21.462508, 51.000545], [5.549454, 6.600621, 6.807638, 7.069090, 72.775167], [25.224311, 30.002250, 30.943217, 32.131614, 190.561273], [53.535815, 63.676468, 65.673566, 68.195805, 282.656924]]
### 8
mean: [2.097300, -0.822865, -0.165856, 1.720036, -0.483568]
std: [2.810374, 0.212548, 0.074456, 2.328137, 0.416454]
pca: [[0.763769, -0.251942, -0.549579, 0.033801, -0.223612, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.057618, 0.258854, -0.501465, 0.256044, 0.782719, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.016050, 0.776360, -0.290769, -0.479451, -0.287381, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.632689, 0.404751, 0.596774, 0.118724, 0.256216, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.113066, 0.320877, -0.076226, 0.830259, -0.434872, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.927165, 49.277202, 52.097773, 54.063094, 188.756957], [3.220075, 3.632392, 3.975214, 4.066038, 74.057820], [1.145221, 1.219181, 1.391330, 1.436866, 14.927017], [34.700801, 41.044766, 43.058612, 44.817968, 154.803215], [6.221073, 7.193225, 7.763036, 7.988387, 43.521114]]
### 10
mean: [-1.786521]
std: [3.056091]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[45.743988, 53.002639, 56.916888, 58.830168, 160.786893]]
## 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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[34.700800744759526, 41.0447664402222, 43.058611914550134, 44.81796761052792, 154.803214520216]}, "4": {"mean": -0.4835679233074188, "std": 0.4164544939994812, "pca": [-0.11306585371494293, 0.3208765983581543, -0.07622624188661575, 0.8302589654922485, -0.4348723292350769, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [6.221073234742698, 7.19322507220992, 7.76303560117738, 7.988386776162896, 43.521114349365234]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "10": {"neuron_profiles": {"0": {"mean": -1.786521077156067, "std": 3.056091070175171, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [45.74398840296602, 53.00263898629503, 56.9168877305186, 58.83016821254496, 160.7868928015232]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.410665, -0.11382, 0.487837, 0.852274, 0.81932], [-0.012499, 0.374411, -1.00099, -0.437943, 0.560132], [-0.56489, -0.054148, 0.596417, 0.668907, 1.331773], [-1.116574, -0.089005, 0.488176, 0.388611, 1.324637], [0.073064, -0.41499, -0.546247, -0.105706, -0.435715]], "network.0.bias": [-0.125519, -0.301066, -0.05966, 0.318926, -0.219099], "network.2.weight": [[-0.056679, 0.246686, -0.304275, -0.359073, 0.066796], [-0.247064, -0.126201, 0.179502, -0.407291, -0.326402], [-0.042455, -0.439257, -0.826403, -0.106823, 0.397629], [0.518781, 0.623857, 0.670058, 1.599228, -0.088703], [-0.231923, 0.319505, -0.211386, -0.396984, -0.275414]], "network.2.bias": [-0.379186, -0.031854, -0.599525, -0.374746, -0.190536], "network.4.weight": [[0.085977, -0.023166, 0.104598, -0.264123, -0.243052], [0.416617, 0.191771, 0.180884, 0.58302, -0.091115], [0.051155, -0.247505, -0.118973, -0.222008, -0.310157], [0.344348, 0.008958, -0.776193, -0.663384, 0.316234], [-0.032764, 0.183144, 0.075161, -0.234451, -0.202657]], "network.4.bias": [-0.068364, -0.315267, -0.142234, -0.024771, -0.654464], "network.6.weight": [[0.004409, -0.430946, -0.10553, -0.284475, -0.132486], [0.376512, 0.256421, -0.227674, -0.381391, -0.081339], [-0.433026, -0.084457, 0.399593, 0.308964, -0.228676], [0.065246, -0.383888, -0.052832, 0.131965, -0.220291], [-0.329251, 0.814761, 0.233994, 0.123438, -0.357082]], "network.6.bias": [-0.159858, -0.570545, -0.434048, -0.414814, -0.472807], "network.8.weight": [[-0.14603, 0.456256, -0.195676, -0.427848, 0.677921], [-0.341587, -0.136251, 0.126357, -0.237988, -0.022836], [0.3658, -0.336816, 0.136185, 0.107078, 0.076712], [0.352679, 0.117712, 0.149195, -0.178151, 0.633912], [0.249255, -0.187872, -0.284879, 0.405411, -0.06691]], "network.8.bias": [-0.451158, -0.646696, -0.163988, -0.432153, -0.125309], "network.10.weight": [[-0.516527, -0.05575, 0.046522, -0.753213, -0.378898]], "network.10.bias": [0.76299]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6875864565372467, "train_acc": 0.575, "val_loss": 0.7004443407058716, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6873873770236969, "train_acc": 0.575, "val_loss": 0.6965269446372986, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6771154403686523, "train_acc": 0.575, "val_loss": 0.6884391903877258, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6504336297512054, "train_acc": 0.575, "val_loss": 0.7851755023002625, "val_acc": 0.52}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.637391984462738, "train_acc": 0.575, "val_loss": 0.6245163083076477, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6240768432617188, "train_acc": 0.515, "val_loss": 0.5434916019439697, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5388018190860748, "train_acc": 0.85, "val_loss": 0.5323643684387207, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.4902302175760269, "train_acc": 0.86, "val_loss": 0.4569512903690338, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.40339474380016327, "train_acc": 0.87, "val_loss": 0.5166118741035461, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.39211228489875793, "train_acc": 0.875, "val_loss": 0.38207343220710754, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.3299350440502167, "train_acc": 0.89, "val_loss": 0.37984055280685425, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.3299677222967148, "train_acc": 0.885, "val_loss": 0.3784289062023163, "val_acc": 0.8}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.3206537365913391, "train_acc": 0.88, "val_loss": 0.3271180987358093, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.26397398114204407, "train_acc": 0.91, "val_loss": 0.3480350971221924, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.24471476674079895, "train_acc": 0.915, "val_loss": 0.35078752040863037, "val_acc": 0.88}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.7004443407058716, "final_val_loss": 0.6245163083076477, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.5434916019439697, "final_val_loss": 0.35078752040863037, "initial_val_acc": 0.72, "final_val_acc": 0.88, "best_val_acc": 0.88, "best_epoch": 9}, "improvement": 0.36, "first_improvement_epoch": 4}}
|
9,473
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.54, "improved_accuracy": 0.8, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5856, "learning_rate": 0.07635636394870547, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "first_last_match", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["first_last_match"], "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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"network.10.weight": [
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"network.12.weight": [
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"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [1.183797, -5.052708, -1.255380, 1.305386, -3.658864, -4.366488, 0.398198, -2.589020]
std: [1.612182, 3.508537, 2.545022, 1.241220, 2.229435, 2.526605, 1.973817, 1.731445]
pca: [[-0.138800, -0.298721, 0.040166, 0.802783, 0.436678, -0.190948, 0.132607, 0.026317, 0.000000, 0.000000], [0.675780, -0.008058, 0.356469, 0.273661, -0.479414, -0.332474, 0.027168, -0.013481, 0.000000, 0.000000], [0.336394, 0.625563, -0.176021, 0.042839, 0.480319, -0.216698, -0.378881, 0.203655, 0.000000, 0.000000], [-0.032044, 0.411034, 0.039282, -0.107122, 0.109102, -0.206873, 0.873079, -0.006304, 0.000000, 0.000000], [0.285057, -0.466027, -0.382904, -0.362424, 0.266280, -0.484067, 0.052194, -0.340065, 0.000000, 0.000000], [0.502886, -0.024156, -0.013619, 0.079647, 0.276806, 0.703566, 0.169634, -0.373618, 0.000000, 0.000000], [-0.030922, -0.135210, 0.822837, -0.331623, 0.425752, -0.071540, -0.085283, 0.008426, 0.000000, 0.000000], [0.273423, -0.338196, -0.122178, -0.140248, 0.089851, 0.169711, 0.192578, 0.838036, 0.000000, 0.000000]]
fourier: [[23.410346, 23.576149, 28.816916, 31.223753, 106.541757], [53.723266, 58.901242, 67.110415, 75.123625, 454.743773], [37.359092, 38.300740, 38.806956, 43.610994, 112.984184], [21.910273, 22.473768, 23.321370, 26.303102, 117.484725], [31.867194, 34.394774, 39.649415, 44.929357, 329.297781], [41.755456, 42.402548, 48.234780, 51.050748, 392.983950], [29.358643, 33.053948, 33.083365, 35.049705, 35.837849], [26.407653, 27.422079, 31.526150, 34.578236, 233.011839]]
### 2
mean: [1.638098, 1.005457, 0.737805, 0.206687, 0.080982, -0.941114, -0.363456, -0.220107]
std: [1.583375, 0.968701, 0.861968, 0.592065, 1.442680, 0.487270, 1.468391, 1.095733]
pca: [[0.500242, -0.545569, 0.163811, -0.427915, -0.207247, 0.399244, -0.196020, -0.037357, 0.000000, 0.000000], [-0.294203, 0.060450, 0.661554, -0.382687, 0.306097, 0.039711, 0.298158, -0.376187, 0.000000, 0.000000], [0.245560, -0.215713, 0.511041, 0.568895, 0.052009, -0.371228, -0.362497, -0.190904, 0.000000, 0.000000], [-0.182358, 0.107466, 0.325815, 0.292118, 0.211593, 0.631500, -0.170236, 0.539597, 0.000000, 0.000000], [0.513756, -0.077910, 0.053133, 0.006074, 0.427191, -0.232832, 0.550782, 0.432506, 0.000000, 0.000000], [0.145662, 0.009054, -0.365745, 0.018860, 0.754152, 0.209021, -0.300069, -0.376962, 0.000000, 0.000000], [0.395001, 0.731390, 0.177642, -0.330410, -0.052132, -0.122880, -0.373193, 0.105951, 0.000000, 0.000000], [0.358413, 0.315493, 0.006749, 0.389746, -0.248843, 0.435230, 0.423815, -0.434846, 0.000000, 0.000000]]
fourier: [[24.352297, 25.721186, 31.353688, 34.632684, 147.428786], [14.499815, 15.581163, 16.358373, 17.739455, 90.491105], [12.025505, 14.761392, 16.111821, 20.107577, 66.402438], [9.020038, 9.929384, 11.192896, 12.075632, 18.601873], [20.823164, 21.813144, 25.103442, 28.002763, 29.387674], [7.301453, 7.934411, 7.965518, 9.292600, 84.700239], [20.777122, 21.369824, 26.812203, 27.580359, 32.711080], [16.577600, 16.602848, 16.818829, 19.172227, 19.809632]]
### 4
mean: [2.054967, 2.145635, 1.408501, -0.847592, -0.750250, -1.280691, 1.224828, 0.654372]
std: [1.126815, 3.878784, 2.277943, 0.559593, 1.278629, 0.858807, 2.444417, 1.370014]
pca: [[0.164099, 0.589011, 0.209778, -0.399485, -0.064533, -0.229648, -0.147162, 0.586500, 0.000000, 0.000000], [0.708429, -0.014718, 0.005501, 0.211169, -0.128655, -0.052548, 0.652927, 0.087532, 0.000000, 0.000000], [0.414574, 0.108519, 0.140612, 0.604332, -0.051625, -0.046603, -0.651100, -0.050941, 0.000000, 0.000000], [-0.076685, -0.261182, 0.245998, 0.213528, 0.782569, -0.294452, 0.091771, 0.335047, 0.000000, 0.000000], [-0.199153, 0.159663, 0.709857, 0.186738, -0.055510, 0.597528, 0.184710, 0.042874, 0.000000, 0.000000], [-0.087900, -0.503712, 0.486706, -0.080990, -0.505438, -0.485858, -0.038705, 0.045647, 0.000000, 0.000000], [0.442516, -0.100255, 0.326067, -0.553666, 0.319305, 0.077812, -0.170655, -0.494095, 0.000000, 0.000000], [-0.224140, 0.532530, 0.169045, 0.192437, 0.060827, -0.506433, 0.234388, -0.534278, 0.000000, 0.000000]]
fourier: [[16.139624, 21.186918, 23.643149, 23.924412, 184.947031], [59.972817, 63.637457, 71.820293, 81.218316, 193.107126], [34.726298, 38.166882, 41.518587, 48.944271, 126.765052], [8.205248, 8.922378, 9.173727, 14.579584, 76.283289], [18.786336, 20.234205, 22.124417, 22.746029, 67.522477], [11.799558, 12.538845, 12.629843, 22.549070, 115.262145], [36.716490, 41.461815, 45.944763, 51.740936, 110.234501], [21.115335, 21.525858, 23.125939, 23.418722, 58.893485]]
### 6
mean: [3.461258, 1.160256, 3.339275, -0.137680, -1.663754, 3.095660, 1.113518, -0.327889]
std: [4.862412, 2.284193, 2.257648, 0.575225, 0.828681, 4.924886, 2.455747, 0.710307]
pca: [[0.604463, 0.056996, -0.128540, 0.610851, -0.020378, 0.106125, 0.355921, 0.321491, 0.000000, 0.000000], [0.277470, -0.459302, -0.532845, -0.164919, -0.556206, -0.151664, -0.064456, -0.253788, 0.000000, 0.000000], [0.269580, 0.655777, 0.073774, -0.247820, -0.493352, 0.201673, -0.346236, 0.162721, 0.000000, 0.000000], [-0.069653, 0.064834, -0.286524, -0.229487, 0.100973, 0.801544, 0.381937, -0.240086, 0.000000, 0.000000], [-0.080304, -0.537720, 0.171701, -0.038255, -0.104848, 0.437598, -0.329899, 0.601785, 0.000000, 0.000000], [0.612209, -0.095584, -0.011441, -0.250812, 0.586130, 0.054894, -0.416189, -0.182345, 0.000000, 0.000000], [0.303540, -0.167858, 0.532631, -0.510702, -0.130681, -0.134321, 0.542162, 0.078201, 0.000000, 0.000000], [0.082004, -0.158403, 0.546541, 0.400495, -0.254967, 0.264658, -0.165601, -0.588732, 0.000000, 0.000000]]
fourier: [[73.969994, 87.519972, 88.138993, 106.506475, 311.513192], [36.273899, 39.229801, 40.171786, 47.863486, 104.423043], [30.450754, 41.149256, 48.589231, 49.763684, 300.534800], [9.249627, 9.565433, 10.073121, 11.739946, 12.391224], [11.784414, 14.566878, 16.398094, 19.013005, 149.737869], [75.928728, 87.568220, 89.293067, 106.752572, 278.609413], [39.391290, 43.283850, 43.700624, 51.753968, 100.216574], [11.156214, 11.177670, 11.767185, 13.304700, 29.509989]]
### 8
mean: [2.127468, -2.468781, -1.490788, 4.404859, -5.606007, -0.574676, 0.151614, -0.168632]
std: [1.096707, 2.498873, 0.411325, 5.885176, 7.716380, 0.974826, 1.649847, 1.586591]
pca: [[-0.099975, 0.475278, 0.213001, -0.457762, 0.549699, -0.319542, 0.135012, 0.294443, 0.000000, 0.000000], [0.240234, -0.229620, 0.525960, -0.030003, -0.392596, -0.032865, 0.419286, 0.530108, 0.000000, 0.000000], [0.030803, -0.336647, -0.148923, 0.569253, 0.624064, 0.038135, 0.186026, 0.337605, 0.000000, 0.000000], [-0.567951, -0.097644, 0.083268, -0.251552, 0.083711, 0.738287, 0.203388, 0.065134, 0.000000, 0.000000], [0.744649, -0.155443, -0.066078, -0.398981, 0.268865, 0.416880, -0.055888, -0.092641, 0.000000, 0.000000], [0.090684, 0.236373, 0.711695, 0.373723, 0.195939, 0.165954, 0.005999, -0.473029, 0.000000, 0.000000], [0.153332, 0.598054, -0.095255, 0.295909, -0.158044, 0.379703, -0.347356, 0.482055, 0.000000, 0.000000], [0.150131, 0.401020, -0.359075, 0.125736, -0.107594, 0.069183, 0.778577, -0.222156, 0.000000, 0.000000]]
fourier: [[15.655280, 19.866670, 22.180132, 24.456216, 191.472072], [36.682524, 45.627898, 49.957124, 55.236787, 222.190254], [6.757148, 7.069633, 8.041229, 8.244431, 134.170939], [90.975524, 105.704241, 110.238300, 128.337966, 396.437240], [117.583456, 139.893076, 145.630558, 169.306555, 504.540663], [15.537797, 16.660562, 19.174551, 19.515705, 51.720795], [23.740113, 27.078919, 27.804030, 28.497487, 32.790978], [23.101671, 26.219223, 26.277755, 27.725217, 32.757378]]
### 10
mean: [1.460177, 0.743228, -0.131219, -1.315157, 0.465348, 0.217400, -0.582087, 0.494036]
std: [4.499783, 1.371008, 0.881093, 3.069598, 0.647201, 1.817494, 0.419507, 1.869599]
pca: [[0.719070, -0.123334, 0.168601, 0.110032, -0.257970, 0.111073, -0.303997, 0.505860, 0.000000, 0.000000], [0.207558, 0.614594, -0.140178, 0.480434, -0.318973, 0.233253, 0.002397, -0.415417, 0.000000, 0.000000], [0.130869, 0.448367, -0.236111, -0.044128, 0.240661, -0.090187, 0.618010, 0.525506, 0.000000, 0.000000], [-0.490222, -0.000600, -0.479711, 0.349467, -0.245613, -0.087087, -0.360440, 0.457827, 0.000000, 0.000000], [0.088023, 0.476383, 0.054315, -0.124071, 0.512009, -0.365445, -0.592491, -0.014801, 0.000000, 0.000000], [-0.288911, 0.050601, 0.704959, 0.552357, 0.228012, 0.096031, 0.079266, 0.210739, 0.000000, 0.000000], [-0.066569, 0.024145, -0.171419, -0.138160, 0.389618, 0.868904, -0.178705, 0.088209, 0.000000, 0.000000], [-0.294560, 0.419459, 0.369799, -0.541684, -0.497513, 0.140611, -0.080392, 0.182651, 0.000000, 0.000000]]
fourier: [[70.052291, 72.509123, 79.031414, 95.508618, 131.415958], [20.344676, 24.299605, 28.579409, 29.095342, 66.890510], [11.809720, 12.905366, 15.238714, 18.146501, 18.773455], [48.813615, 49.365784, 54.189285, 65.606282, 118.364164], [8.787265, 10.961593, 12.873006, 15.299235, 41.881359], [27.676057, 28.053429, 30.080622, 31.313695, 37.288077], [6.553543, 6.639005, 7.329652, 9.167469, 52.387786], [30.719801, 30.928173, 31.694438, 37.630243, 44.463228]]
### 12
mean: [-1.468403]
std: [3.125417]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[50.545441, 54.485775, 54.552777, 67.479504, 132.156255]]
## 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.
|
first_last_match
|
## 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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-0.120601,
-0.145132
]
],
"network.8.bias": [
0.079268,
-0.022475,
-0.286256,
0.029983,
0.605082,
-0.164235,
0.071829,
0.068183
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"network.10.weight": [
[
-0.310626,
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-0.018968,
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-0.82129
],
[
-0.240451,
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0.307006,
-0.076332,
0.283428,
0.336082,
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],
[
-0.299025,
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0.224714,
-0.242499,
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],
[
0.00181,
-0.32121,
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-0.428914,
0.62372,
0.086293,
0.664603,
0.39629
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[
-0.073395,
0.642431,
0.164216,
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],
[
0.626967,
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-0.370504,
0.691263,
-0.220263,
0.424198,
0.217863
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[
-0.138587,
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0.803005,
-0.037448,
0.023762,
0.251871,
0.099769,
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[
0.440121,
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],
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0.050362,
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"network.12.weight": [
[
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"network.12.bias": [
-0.191166
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}
## Activation Signature
### 0
mean: [1.183797, -5.052708, -1.255380, 1.305386, -3.658864, -4.366488, 0.398198, -2.589020]
std: [1.612182, 3.508537, 2.545022, 1.241220, 2.229435, 2.526605, 1.973817, 1.731445]
pca: [[-0.138800, -0.298721, 0.040166, 0.802783, 0.436678, -0.190948, 0.132607, 0.026317, 0.000000, 0.000000], [0.675780, -0.008058, 0.356469, 0.273661, -0.479414, -0.332474, 0.027168, -0.013481, 0.000000, 0.000000], [0.336394, 0.625563, -0.176021, 0.042839, 0.480319, -0.216698, -0.378881, 0.203655, 0.000000, 0.000000], [-0.032044, 0.411034, 0.039282, -0.107122, 0.109102, -0.206873, 0.873079, -0.006304, 0.000000, 0.000000], [0.285057, -0.466027, -0.382904, -0.362424, 0.266280, -0.484067, 0.052194, -0.340065, 0.000000, 0.000000], [0.502886, -0.024156, -0.013619, 0.079647, 0.276806, 0.703566, 0.169634, -0.373618, 0.000000, 0.000000], [-0.030922, -0.135210, 0.822837, -0.331623, 0.425752, -0.071540, -0.085283, 0.008426, 0.000000, 0.000000], [0.273423, -0.338196, -0.122178, -0.140248, 0.089851, 0.169711, 0.192578, 0.838036, 0.000000, 0.000000]]
fourier: [[23.410346, 23.576149, 28.816916, 31.223753, 106.541757], [53.723266, 58.901242, 67.110415, 75.123625, 454.743773], [37.359092, 38.300740, 38.806956, 43.610994, 112.984184], [21.910273, 22.473768, 23.321370, 26.303102, 117.484725], [31.867194, 34.394774, 39.649415, 44.929357, 329.297781], [41.755456, 42.402548, 48.234780, 51.050748, 392.983950], [29.358643, 33.053948, 33.083365, 35.049705, 35.837849], [26.407653, 27.422079, 31.526150, 34.578236, 233.011839]]
### 2
mean: [1.638098, 1.005457, 0.737805, 0.206687, 0.080982, -0.941114, -0.363456, -0.220107]
std: [1.583375, 0.968701, 0.861968, 0.592065, 1.442680, 0.487270, 1.468391, 1.095733]
pca: [[0.500242, -0.545569, 0.163811, -0.427915, -0.207247, 0.399244, -0.196020, -0.037357, 0.000000, 0.000000], [-0.294203, 0.060450, 0.661554, -0.382687, 0.306097, 0.039711, 0.298158, -0.376187, 0.000000, 0.000000], [0.245560, -0.215713, 0.511041, 0.568895, 0.052009, -0.371228, -0.362497, -0.190904, 0.000000, 0.000000], [-0.182358, 0.107466, 0.325815, 0.292118, 0.211593, 0.631500, -0.170236, 0.539597, 0.000000, 0.000000], [0.513756, -0.077910, 0.053133, 0.006074, 0.427191, -0.232832, 0.550782, 0.432506, 0.000000, 0.000000], [0.145662, 0.009054, -0.365745, 0.018860, 0.754152, 0.209021, -0.300069, -0.376962, 0.000000, 0.000000], [0.395001, 0.731390, 0.177642, -0.330410, -0.052132, -0.122880, -0.373193, 0.105951, 0.000000, 0.000000], [0.358413, 0.315493, 0.006749, 0.389746, -0.248843, 0.435230, 0.423815, -0.434846, 0.000000, 0.000000]]
fourier: [[24.352297, 25.721186, 31.353688, 34.632684, 147.428786], [14.499815, 15.581163, 16.358373, 17.739455, 90.491105], [12.025505, 14.761392, 16.111821, 20.107577, 66.402438], [9.020038, 9.929384, 11.192896, 12.075632, 18.601873], [20.823164, 21.813144, 25.103442, 28.002763, 29.387674], [7.301453, 7.934411, 7.965518, 9.292600, 84.700239], [20.777122, 21.369824, 26.812203, 27.580359, 32.711080], [16.577600, 16.602848, 16.818829, 19.172227, 19.809632]]
### 4
mean: [2.054967, 2.145635, 1.408501, -0.847592, -0.750250, -1.280691, 1.224828, 0.654372]
std: [1.126815, 3.878784, 2.277943, 0.559593, 1.278629, 0.858807, 2.444417, 1.370014]
pca: [[0.164099, 0.589011, 0.209778, -0.399485, -0.064533, -0.229648, -0.147162, 0.586500, 0.000000, 0.000000], [0.708429, -0.014718, 0.005501, 0.211169, -0.128655, -0.052548, 0.652927, 0.087532, 0.000000, 0.000000], [0.414574, 0.108519, 0.140612, 0.604332, -0.051625, -0.046603, -0.651100, -0.050941, 0.000000, 0.000000], [-0.076685, -0.261182, 0.245998, 0.213528, 0.782569, -0.294452, 0.091771, 0.335047, 0.000000, 0.000000], [-0.199153, 0.159663, 0.709857, 0.186738, -0.055510, 0.597528, 0.184710, 0.042874, 0.000000, 0.000000], [-0.087900, -0.503712, 0.486706, -0.080990, -0.505438, -0.485858, -0.038705, 0.045647, 0.000000, 0.000000], [0.442516, -0.100255, 0.326067, -0.553666, 0.319305, 0.077812, -0.170655, -0.494095, 0.000000, 0.000000], [-0.224140, 0.532530, 0.169045, 0.192437, 0.060827, -0.506433, 0.234388, -0.534278, 0.000000, 0.000000]]
fourier: [[16.139624, 21.186918, 23.643149, 23.924412, 184.947031], [59.972817, 63.637457, 71.820293, 81.218316, 193.107126], [34.726298, 38.166882, 41.518587, 48.944271, 126.765052], [8.205248, 8.922378, 9.173727, 14.579584, 76.283289], [18.786336, 20.234205, 22.124417, 22.746029, 67.522477], [11.799558, 12.538845, 12.629843, 22.549070, 115.262145], [36.716490, 41.461815, 45.944763, 51.740936, 110.234501], [21.115335, 21.525858, 23.125939, 23.418722, 58.893485]]
### 6
mean: [3.461258, 1.160256, 3.339275, -0.137680, -1.663754, 3.095660, 1.113518, -0.327889]
std: [4.862412, 2.284193, 2.257648, 0.575225, 0.828681, 4.924886, 2.455747, 0.710307]
pca: [[0.604463, 0.056996, -0.128540, 0.610851, -0.020378, 0.106125, 0.355921, 0.321491, 0.000000, 0.000000], [0.277470, -0.459302, -0.532845, -0.164919, -0.556206, -0.151664, -0.064456, -0.253788, 0.000000, 0.000000], [0.269580, 0.655777, 0.073774, -0.247820, -0.493352, 0.201673, -0.346236, 0.162721, 0.000000, 0.000000], [-0.069653, 0.064834, -0.286524, -0.229487, 0.100973, 0.801544, 0.381937, -0.240086, 0.000000, 0.000000], [-0.080304, -0.537720, 0.171701, -0.038255, -0.104848, 0.437598, -0.329899, 0.601785, 0.000000, 0.000000], [0.612209, -0.095584, -0.011441, -0.250812, 0.586130, 0.054894, -0.416189, -0.182345, 0.000000, 0.000000], [0.303540, -0.167858, 0.532631, -0.510702, -0.130681, -0.134321, 0.542162, 0.078201, 0.000000, 0.000000], [0.082004, -0.158403, 0.546541, 0.400495, -0.254967, 0.264658, -0.165601, -0.588732, 0.000000, 0.000000]]
fourier: [[73.969994, 87.519972, 88.138993, 106.506475, 311.513192], [36.273899, 39.229801, 40.171786, 47.863486, 104.423043], [30.450754, 41.149256, 48.589231, 49.763684, 300.534800], [9.249627, 9.565433, 10.073121, 11.739946, 12.391224], [11.784414, 14.566878, 16.398094, 19.013005, 149.737869], [75.928728, 87.568220, 89.293067, 106.752572, 278.609413], [39.391290, 43.283850, 43.700624, 51.753968, 100.216574], [11.156214, 11.177670, 11.767185, 13.304700, 29.509989]]
### 8
mean: [2.127468, -2.468781, -1.490788, 4.404859, -5.606007, -0.574676, 0.151614, -0.168632]
std: [1.096707, 2.498873, 0.411325, 5.885176, 7.716380, 0.974826, 1.649847, 1.586591]
pca: [[-0.099975, 0.475278, 0.213001, -0.457762, 0.549699, -0.319542, 0.135012, 0.294443, 0.000000, 0.000000], [0.240234, -0.229620, 0.525960, -0.030003, -0.392596, -0.032865, 0.419286, 0.530108, 0.000000, 0.000000], [0.030803, -0.336647, -0.148923, 0.569253, 0.624064, 0.038135, 0.186026, 0.337605, 0.000000, 0.000000], [-0.567951, -0.097644, 0.083268, -0.251552, 0.083711, 0.738287, 0.203388, 0.065134, 0.000000, 0.000000], [0.744649, -0.155443, -0.066078, -0.398981, 0.268865, 0.416880, -0.055888, -0.092641, 0.000000, 0.000000], [0.090684, 0.236373, 0.711695, 0.373723, 0.195939, 0.165954, 0.005999, -0.473029, 0.000000, 0.000000], [0.153332, 0.598054, -0.095255, 0.295909, -0.158044, 0.379703, -0.347356, 0.482055, 0.000000, 0.000000], [0.150131, 0.401020, -0.359075, 0.125736, -0.107594, 0.069183, 0.778577, -0.222156, 0.000000, 0.000000]]
fourier: [[15.655280, 19.866670, 22.180132, 24.456216, 191.472072], [36.682524, 45.627898, 49.957124, 55.236787, 222.190254], [6.757148, 7.069633, 8.041229, 8.244431, 134.170939], [90.975524, 105.704241, 110.238300, 128.337966, 396.437240], [117.583456, 139.893076, 145.630558, 169.306555, 504.540663], [15.537797, 16.660562, 19.174551, 19.515705, 51.720795], [23.740113, 27.078919, 27.804030, 28.497487, 32.790978], [23.101671, 26.219223, 26.277755, 27.725217, 32.757378]]
### 10
mean: [1.460177, 0.743228, -0.131219, -1.315157, 0.465348, 0.217400, -0.582087, 0.494036]
std: [4.499783, 1.371008, 0.881093, 3.069598, 0.647201, 1.817494, 0.419507, 1.869599]
pca: [[0.719070, -0.123334, 0.168601, 0.110032, -0.257970, 0.111073, -0.303997, 0.505860, 0.000000, 0.000000], [0.207558, 0.614594, -0.140178, 0.480434, -0.318973, 0.233253, 0.002397, -0.415417, 0.000000, 0.000000], [0.130869, 0.448367, -0.236111, -0.044128, 0.240661, -0.090187, 0.618010, 0.525506, 0.000000, 0.000000], [-0.490222, -0.000600, -0.479711, 0.349467, -0.245613, -0.087087, -0.360440, 0.457827, 0.000000, 0.000000], [0.088023, 0.476383, 0.054315, -0.124071, 0.512009, -0.365445, -0.592491, -0.014801, 0.000000, 0.000000], [-0.288911, 0.050601, 0.704959, 0.552357, 0.228012, 0.096031, 0.079266, 0.210739, 0.000000, 0.000000], [-0.066569, 0.024145, -0.171419, -0.138160, 0.389618, 0.868904, -0.178705, 0.088209, 0.000000, 0.000000], [-0.294560, 0.419459, 0.369799, -0.541684, -0.497513, 0.140611, -0.080392, 0.182651, 0.000000, 0.000000]]
fourier: [[70.052291, 72.509123, 79.031414, 95.508618, 131.415958], [20.344676, 24.299605, 28.579409, 29.095342, 66.890510], [11.809720, 12.905366, 15.238714, 18.146501, 18.773455], [48.813615, 49.365784, 54.189285, 65.606282, 118.364164], [8.787265, 10.961593, 12.873006, 15.299235, 41.881359], [27.676057, 28.053429, 30.080622, 31.313695, 37.288077], [6.553543, 6.639005, 7.329652, 9.167469, 52.387786], [30.719801, 30.928173, 31.694438, 37.630243, 44.463228]]
### 12
mean: [-1.468403]
std: [3.125417]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[50.545441, 54.485775, 54.552777, 67.479504, 132.156255]]
## 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.
first_last_match
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.1837972402572632, "std": 1.6121819019317627, "pca": [-0.1388004571199417, -0.2987211346626282, 0.04016603156924248, 0.8027831315994263, 0.43667811155319214, -0.19094786047935486, 0.1326068490743637, 0.026316659525036812, 0.0, 0.0], "fourier": [23.410345979202294, 23.57614914115131, 28.816916058583136, 31.223753323930637, 106.54175677895546]}, "1": {"mean": -5.052708148956299, "std": 3.5085370540618896, "pca": [0.6757795214653015, -0.008058351464569569, 0.35646891593933105, 0.27366071939468384, -0.4794144928455353, -0.33247360587120056, 0.027167754247784615, -0.013481452129781246, 0.0, 0.0], "fourier": [53.723266346889496, 58.901241619511076, 67.11041457542032, 75.1236251371896, 454.7437728345394]}, "2": {"mean": -1.2553799152374268, "std": 2.5450220108032227, "pca": [0.3363941013813019, 0.6255632638931274, -0.17602114379405975, 0.04283928871154785, 0.480319082736969, -0.21669767796993256, -0.3788814842700958, 0.20365533232688904, 0.0, 0.0], "fourier": [37.35909205658698, 38.30074034704829, 38.80695632310172, 43.610993897239375, 112.98418426513672]}, "3": {"mean": 1.305385708808899, "std": 1.241220235824585, "pca": [-0.032044343650341034, 0.41103395819664, 0.039282288402318954, -0.10712195932865143, 0.10910185426473618, -0.2068728357553482, 0.8730788826942444, -0.006303942296653986, 0.0, 0.0], "fourier": [21.91027293450167, 22.473768461931705, 23.32137034497557, 26.30310228983591, 117.4847249686718]}, "4": {"mean": -3.6588642597198486, "std": 2.229435443878174, "pca": [0.2850571274757385, -0.46602657437324524, -0.38290441036224365, -0.36242446303367615, 0.2662798762321472, -0.48406723141670227, 0.05219370499253273, -0.3400648832321167, 0.0, 0.0], "fourier": [31.867194312737013, 34.39477368753229, 39.64941463635842, 44.92935698683644, 329.2977805137634]}, "5": {"mean": -4.366487979888916, "std": 2.526604652404785, "pca": [0.5028863549232483, -0.024155713617801666, -0.013618559576570988, 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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": [[-0.184225, 0.040091, 0.457282, 0.398955, -0.714521], [-0.650104, -0.763061, -0.163118, -1.070129, 0.010178], [0.536783, -0.680868, 0.003962, -0.787823, 0.357254], [0.27516, -0.120137, 0.210263, -0.137765, 0.42817], [-0.008973, -0.110649, -0.925128, -0.17708, -0.426305], [-0.152506, -0.641238, -0.367823, -0.714304, -0.122745], [-0.813885, -0.131911, 0.23589, 0.314242, 0.519665], [-0.196499, -0.178432, -0.558129, -0.232798, -0.293932]], "network.0.bias": [0.410495, -0.230207, 0.557871, 0.510017, -0.608067, -0.556713, -0.156137, 0.00826], "network.2.weight": [[-0.523927, -0.572603, 0.22185, 0.635539, -0.488581, -0.28091, 0.661871, -0.470827], [0.723553, 0.16546, -0.209195, 0.202332, 0.166506, 0.128721, -0.261034, 0.144872], [-0.093261, -0.264863, 0.656969, 0.110283, 0.057155, -0.297591, 0.426389, -0.228723], [0.368094, 0.310458, 0.110833, -0.149726, 0.061077, 0.577776, -0.128221, 0.055711], [-0.66036, 0.047632, 0.516309, 0.310766, -0.311256, -0.512204, 0.282683, 0.146805], [-0.396625, 0.28529, 0.031275, -0.085742, 0.032997, 0.271859, 0.046017, 0.734297], [-0.480116, -0.218395, 0.469684, 0.276387, -0.073967, -0.240446, -0.643111, -0.446099], [-0.51334, 0.121989, 0.611984, -0.013212, -0.449633, 0.016889, -0.09269, -0.490346]], "network.2.bias": [0.812961, 0.130572, 0.092553, 0.012654, 0.103356, -0.326699, 0.28382, 0.297698], "network.4.weight": [[0.351774, 0.357496, 0.785883, -0.13806, 0.354524, 0.168297, -0.465732, -0.135289], [0.97625, -0.733958, 0.558568, -0.600555, 0.57474, -0.31151, 0.65121, 0.636329], [0.485783, -0.49381, 0.546949, -0.292238, 0.52689, 0.546308, 0.121157, 0.219669], [-0.302833, -0.124394, -0.236061, -0.646096, 0.133981, -0.311934, -0.276791, -0.032992], [-0.184375, -0.127212, 0.211902, 0.287653, -0.14485, -0.021326, -0.72052, -0.733677], [0.036196, -0.643872, -0.889342, 0.095454, -0.228517, -0.1718, 0.055357, -0.132834], [0.676394, -0.464208, 0.307463, -0.991102, 0.243372, -0.545116, 0.309905, 0.246934], [-0.324992, 0.605088, 0.40891, 0.325395, 0.258219, 0.356269, -0.931825, -0.378818]], "network.4.bias": [0.690281, 0.436972, 0.559183, 0.036236, -0.113455, -0.06875, 0.300342, 0.516328], "network.6.weight": [[0.286271, 0.310044, 0.771318, 0.022653, 0.298026, -0.003468, 0.771878, -0.363463], [0.018787, 0.215437, -0.207242, 0.034589, -0.804552, 0.090585, 0.683502, -0.705715], [0.528896, 0.090945, 0.148289, 0.202665, -0.044546, -0.759237, 0.636047, 0.492978], [0.227643, -0.035904, -0.267318, -0.855281, 0.001633, -0.114536, -0.046996, -0.054765], [-0.477422, 0.150214, -0.281846, 0.009986, 0.134509, 0.746964, -0.169366, -0.38551], [0.30823, 0.793839, 0.250625, 0.09175, -0.369019, 0.523095, 0.444532, -0.546286], [-0.238264, 0.618627, 0.083586, -0.219341, -0.54392, 0.65864, 0.11338, -0.106723], [-0.402686, 0.133118, 0.314633, 0.506386, 0.548803, 0.005362, -0.025376, 0.043834]], "network.6.bias": [0.057541, 0.375238, 0.375867, -0.102936, 0.009037, -0.105278, -0.197312, -0.237073], "network.8.weight": [[-0.158034, 0.196097, 0.615735, -0.467339, -0.805491, 0.150199, -0.19822, -0.604959], [-0.098007, 0.220303, -0.374021, 0.055069, 0.054633, -0.230347, -0.29768, 0.307259], [-0.161423, -0.537062, -0.542774, 0.518431, 0.139678, 0.472482, 0.258459, -0.093416], [0.42076, 0.255317, 0.158264, -0.855951, 0.082979, 0.458154, 0.331323, 0.129458], [-0.870278, -0.343218, -0.34561, 0.090798, -0.326135, -0.450336, 0.027939, -0.146459], [0.128577, 0.074806, 0.041954, -0.124645, 0.02232, -0.122228, -0.505108, -0.280083], [0.283948, -0.065221, 0.61836, -0.219033, -0.221516, -0.732021, -0.297112, -0.279137], [0.030025, -0.153646, 0.470793, -0.12254, -0.315506, -0.451786, -0.120601, -0.145132]], "network.8.bias": [0.079268, -0.022475, -0.286256, 0.029983, 0.605082, -0.164235, 0.071829, 0.068183], "network.10.weight": [[-0.310626, -0.281455, -0.085187, 0.678388, -0.693177, -0.018968, -0.982757, -0.82129], [-0.240451, 0.302151, 0.340171, 0.307006, -0.076332, 0.283428, 0.336082, 0.170616], [-0.299025, 0.462756, 0.576514, 0.224714, -0.242499, 0.170651, 0.186181, 0.3062], [0.00181, -0.32121, -0.06622, -0.428914, 0.62372, 0.086293, 0.664603, 0.39629], [-0.073395, 0.642431, 0.164216, 0.151752, -0.18222, -0.316799, 0.345227, 0.314642], [0.626967, 0.337961, 0.574437, -0.370504, 0.691263, -0.220263, 0.424198, 0.217863], [-0.138587, 0.421202, 0.803005, -0.037448, 0.023762, 0.251871, 0.099769, 0.104322], [0.440121, -0.015899, -0.127562, -0.287414, 0.133423, 0.1293, 0.781536, 0.454963]], "network.10.bias": [0.050362, -0.310453, -0.621942, -0.065234, -0.323279, 0.254304, -0.101333, 0.174347], "network.12.weight": [[-0.597787, -0.314473, -0.306645, 0.358116, 0.05663, 0.159741, -0.042175, 0.17119]], "network.12.bias": [-0.191166]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7047538757324219, "train_acc": 0.455, "val_loss": 0.6901021003723145, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6896253526210785, "train_acc": 0.575, "val_loss": 0.6910537481307983, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6801953613758087, "train_acc": 0.575, "val_loss": 0.6914553642272949, "val_acc": 0.54}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6802230179309845, "train_acc": 0.575, "val_loss": 0.6765388250350952, "val_acc": 0.54}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6521943509578705, "train_acc": 0.575, "val_loss": 0.5788372755050659, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.5787948369979858, "train_acc": 0.615, "val_loss": 0.41819772124290466, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.6944227963685989, "train_acc": 0.715, "val_loss": 0.434194952249527, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.4467921257019043, "train_acc": 0.79, "val_loss": 0.4776749908924103, "val_acc": 0.76}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.4830235093832016, "train_acc": 0.77, "val_loss": 0.40635815262794495, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.5450793504714966, "train_acc": 0.76, "val_loss": 0.43667975068092346, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.5063516497612, "train_acc": 0.72, "val_loss": 0.5024858117103577, "val_acc": 0.7}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.5033655017614365, "train_acc": 0.715, "val_loss": 0.4701173007488251, "val_acc": 0.74}], "summary": {"total_epochs": 12, "degraded_epochs": 5, "improved_epochs": 7, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.6901021003723145, "final_val_loss": 0.5788372755050659, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.41819772124290466, "final_val_loss": 0.4701173007488251, "initial_val_acc": 0.8, "final_val_acc": 0.74, "best_val_acc": 0.8, "best_epoch": 5}, "improvement": 0.26, "first_improvement_epoch": 4}}
|
9,474
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.46, "improved_accuracy": 0.78, "improvement": 0.32, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8300, "learning_rate": 0.08972025267410633, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.12.weight": [
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"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [1.470031, 0.262925, 0.705917, 1.134637, 1.038631, 0.232165, 0.902110]
std: [1.982612, 2.114549, 1.486329, 1.886558, 2.045695, 1.152297, 1.879752]
pca: [[-0.410311, 0.293577, 0.651942, 0.183606, -0.323157, 0.177582, -0.388269, 0.000000, 0.000000, 0.000000], [0.502580, 0.110420, -0.162294, 0.074428, -0.032116, 0.782359, -0.300376, 0.000000, 0.000000, 0.000000], [-0.272537, 0.102432, -0.563297, 0.451471, -0.607368, 0.035312, 0.154785, 0.000000, 0.000000, 0.000000], [0.403898, 0.027040, 0.416965, 0.599293, 0.020909, -0.021871, 0.549734, 0.000000, 0.000000, 0.000000], [-0.453430, 0.325508, -0.182156, 0.312946, 0.698878, 0.243808, 0.097254, 0.000000, 0.000000, 0.000000], [-0.234538, 0.090647, 0.127234, -0.507847, -0.182879, 0.454640, 0.650028, 0.000000, 0.000000, 0.000000], [0.284679, 0.881036, -0.089996, -0.204762, -0.057712, -0.297514, 0.029346, 0.000000, 0.000000, 0.000000]]
fourier: [[30.175263, 32.383018, 35.501345, 35.954056, 132.302770], [30.227000, 32.907094, 33.781426, 34.791642, 37.690436], [22.266513, 22.426139, 24.251384, 29.949697, 63.532505], [25.938295, 30.478316, 36.155354, 40.690997, 102.117327], [33.094409, 33.888387, 35.761874, 46.757950, 93.476802], [19.305314, 19.915848, 19.966273, 20.894881, 23.736183], [28.916663, 29.050748, 32.837971, 32.867863, 81.189878]]
### 2
mean: [2.166606, 1.585783, 0.672853, -1.194565, -3.356280, 0.903635, 0.839392]
std: [3.071269, 2.388749, 3.336939, 0.652421, 1.818405, 2.444073, 3.261232]
pca: [[0.460693, -0.355258, -0.016910, 0.653204, 0.157332, -0.119902, 0.442111, 0.000000, 0.000000, 0.000000], [-0.339146, -0.427432, 0.268929, -0.425800, 0.199945, 0.154981, 0.620207, 0.000000, 0.000000, 0.000000], [0.513271, -0.204431, 0.659728, -0.234026, 0.220051, 0.054748, -0.391575, 0.000000, 0.000000, 0.000000], [0.068667, 0.204272, -0.107840, 0.151690, 0.297510, 0.911249, 0.005610, 0.000000, 0.000000, 0.000000], [-0.129426, 0.706566, 0.463132, 0.173040, 0.322666, -0.229749, 0.287544, 0.000000, 0.000000, 0.000000], [-0.370651, -0.243679, -0.185175, 0.157175, 0.749947, -0.208078, -0.372193, 0.000000, 0.000000, 0.000000], [-0.500446, -0.221269, 0.481394, 0.509504, -0.363043, 0.179307, -0.212858, 0.000000, 0.000000, 0.000000]]
fourier: [[47.857417, 50.997548, 51.495940, 53.449799, 194.994571], [37.707864, 38.086374, 39.961060, 46.048123, 142.720427], [51.909263, 52.032214, 52.856664, 56.707912, 60.556741], [10.092832, 11.211898, 12.143380, 12.392647, 107.510829], [30.899252, 30.954202, 31.475643, 35.673461, 302.065160], [35.156503, 36.544596, 37.954752, 48.891540, 81.327166], [44.103436, 50.245076, 58.621415, 58.893934, 75.545310]]
### 4
mean: [2.946114, 1.850452, -2.524279, -2.505018, -3.075406, 1.573704, 0.545364]
std: [4.390106, 5.234545, 1.759062, 2.635022, 1.777464, 2.891934, 4.112283]
pca: [[-0.459125, 0.583019, -0.577610, 0.113126, 0.249986, 0.164821, 0.114906, 0.000000, 0.000000, 0.000000], [0.598451, 0.245514, -0.115109, 0.362291, -0.244323, 0.093864, 0.607100, 0.000000, 0.000000, 0.000000], [-0.149682, -0.370687, -0.061755, 0.605032, 0.427107, -0.507213, 0.174996, 0.000000, 0.000000, 0.000000], [-0.267248, -0.395007, -0.092910, -0.496099, 0.058550, 0.082204, 0.712472, 0.000000, 0.000000, 0.000000], [-0.090120, -0.498498, -0.245496, 0.379677, -0.139189, 0.705508, -0.147785, 0.000000, 0.000000, 0.000000], [-0.321212, 0.239954, 0.761663, 0.247203, 0.166975, 0.341815, 0.230841, 0.000000, 0.000000, 0.000000], [0.475327, -0.017142, -0.016517, -0.196230, 0.802939, 0.292271, -0.069705, 0.000000, 0.000000, 0.000000]]
fourier: [[68.654383, 69.357580, 75.905435, 91.668888, 265.150259], [74.701914, 83.083154, 84.594185, 102.521002, 166.540642], [25.499119, 27.238295, 36.297473, 36.596125, 227.185074], [40.227923, 40.574760, 52.071165, 53.691459, 225.451657], [28.454819, 29.106457, 30.235429, 36.980500, 276.786519], [44.869686, 45.097574, 45.167155, 51.338043, 141.633383], [57.068898, 61.465135, 67.005781, 68.202783, 75.625824]]
### 6
mean: [0.134043, 1.434341, -0.664338, -0.797118, 4.378774, 0.219165, -0.440556]
std: [5.641942, 6.957480, 1.452184, 1.014775, 4.444443, 6.165376, 0.122067]
pca: [[0.487546, 0.088932, -0.396507, 0.281249, -0.040428, 0.245434, 0.675425, 0.000000, 0.000000, 0.000000], [0.596291, 0.342779, 0.540952, 0.018073, -0.308836, 0.250803, -0.275141, 0.000000, 0.000000, 0.000000], [-0.124474, -0.070500, 0.319419, 0.192404, 0.700900, 0.589970, 0.034101, 0.000000, 0.000000, 0.000000], [-0.077839, -0.171164, -0.075728, 0.902889, -0.176370, -0.061734, -0.329822, 0.000000, 0.000000, 0.000000], [-0.317523, 0.915527, -0.126519, 0.155532, 0.118863, -0.081390, 0.006307, 0.000000, 0.000000, 0.000000], [0.533200, 0.039449, -0.262926, -0.011086, 0.588969, -0.416109, -0.353353, 0.000000, 0.000000, 0.000000], [0.007754, -0.024099, 0.597707, 0.209835, 0.140021, -0.587549, 0.482965, 0.000000, 0.000000, 0.000000]]
fourier: [[78.865666, 83.678682, 86.916407, 91.318816, 106.900512], [99.535409, 106.734718, 112.022694, 129.090663, 137.369831], [20.800933, 22.089863, 23.373242, 28.607649, 59.790405], [14.874313, 15.304214, 19.299010, 21.537170, 71.740624], [66.298948, 77.542126, 78.734768, 99.789027, 394.089665], [83.834397, 92.141373, 97.239776, 99.701900, 115.393182], [1.752292, 1.807320, 1.998852, 2.356062, 39.650084]]
### 8
mean: [-2.072826, -3.054518, -3.038801, -3.607390, 1.868821, -2.246712, 4.165768]
std: [2.097115, 2.027637, 2.897404, 2.123831, 6.487385, 1.694676, 9.682348]
pca: [[-0.163711, 0.191775, 0.359849, -0.263997, -0.416192, 0.750994, -0.005134, 0.000000, 0.000000, 0.000000], [0.046260, 0.597314, -0.445284, -0.006793, -0.579198, -0.253870, -0.206957, 0.000000, 0.000000, 0.000000], [-0.220088, 0.329263, 0.714301, -0.212032, 0.033097, -0.530999, -0.070062, 0.000000, 0.000000, 0.000000], [-0.027265, 0.643488, -0.181737, -0.120266, 0.687264, 0.255476, 0.009304, 0.000000, 0.000000, 0.000000], [0.527940, 0.198793, 0.128994, 0.029751, -0.119097, -0.047528, 0.804856, 0.000000, 0.000000, 0.000000], [-0.126776, 0.209876, 0.230271, 0.932632, -0.022819, 0.123387, -0.036150, 0.000000, 0.000000, 0.000000], [0.791887, 0.019488, 0.243540, 0.012222, 0.056402, 0.082744, -0.550497, 0.000000, 0.000000, 0.000000]]
fourier: [[30.376464, 33.007776, 41.154500, 43.795898, 186.554366], [35.119029, 35.301393, 35.691625, 47.021793, 274.906616], [43.822442, 45.285331, 57.773651, 59.780045, 273.492133], [33.194214, 35.285202, 41.518860, 43.881416, 324.665061], [95.759066, 103.020627, 104.951594, 131.792784, 168.193861], [26.397579, 26.411169, 33.608061, 34.764727, 202.204039], [147.395581, 150.747114, 166.511593, 200.754868, 374.919075]]
### 10
mean: [-1.375618, 4.479568, -2.668583, -5.059018, 4.347785, -1.075485, 1.990131]
std: [1.971318, 8.122782, 4.380763, 8.823832, 7.990687, 1.705861, 3.615658]
pca: [[0.125492, -0.474522, -0.166865, 0.188568, 0.814630, -0.173835, 0.042871, 0.000000, 0.000000, 0.000000], [-0.517102, 0.000723, 0.500341, 0.416041, 0.090871, -0.110901, -0.537231, 0.000000, 0.000000, 0.000000], [0.278881, 0.501335, -0.389669, 0.611207, -0.046061, -0.367967, -0.089171, 0.000000, 0.000000, 0.000000], [0.561732, 0.007413, 0.714177, 0.264863, -0.004989, 0.042576, 0.319944, 0.000000, 0.000000, 0.000000], [-0.508693, 0.366831, 0.127781, -0.041238, 0.232054, -0.282112, 0.674686, 0.000000, 0.000000, 0.000000], [0.108590, 0.602360, 0.051451, -0.189662, 0.512131, 0.523672, -0.224147, 0.000000, 0.000000, 0.000000], [-0.230175, -0.161354, -0.202359, 0.556734, -0.099228, 0.682972, 0.306244, 0.000000, 0.000000, 0.000000]]
fourier: [[29.680835, 30.796536, 35.725307, 41.339778, 123.805605], [121.909479, 127.169408, 147.186927, 169.868772, 403.161114], [65.646755, 68.653520, 79.374453, 91.490758, 240.172515], [132.425938, 138.148492, 159.889845, 184.523367, 455.311606], [120.002135, 125.049592, 144.797452, 167.197255, 391.300613], [25.480740, 26.787669, 30.902327, 35.526914, 96.793630], [54.233831, 56.627684, 65.514869, 75.575191, 179.111838]]
### 12
mean: [-4.740385]
std: [9.456126]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[141.486886, 148.401909, 171.625287, 197.189817, 426.634644]]
## 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.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.515707,
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[
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[
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[
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[
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"network.2.weight": [
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]
],
"network.2.bias": [
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"network.4.weight": [
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[
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[
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"network.8.weight": [
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],
"network.8.bias": [
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"network.10.weight": [
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[
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[
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[
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],
"network.10.bias": [
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"network.12.weight": [
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],
"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [1.470031, 0.262925, 0.705917, 1.134637, 1.038631, 0.232165, 0.902110]
std: [1.982612, 2.114549, 1.486329, 1.886558, 2.045695, 1.152297, 1.879752]
pca: [[-0.410311, 0.293577, 0.651942, 0.183606, -0.323157, 0.177582, -0.388269, 0.000000, 0.000000, 0.000000], [0.502580, 0.110420, -0.162294, 0.074428, -0.032116, 0.782359, -0.300376, 0.000000, 0.000000, 0.000000], [-0.272537, 0.102432, -0.563297, 0.451471, -0.607368, 0.035312, 0.154785, 0.000000, 0.000000, 0.000000], [0.403898, 0.027040, 0.416965, 0.599293, 0.020909, -0.021871, 0.549734, 0.000000, 0.000000, 0.000000], [-0.453430, 0.325508, -0.182156, 0.312946, 0.698878, 0.243808, 0.097254, 0.000000, 0.000000, 0.000000], [-0.234538, 0.090647, 0.127234, -0.507847, -0.182879, 0.454640, 0.650028, 0.000000, 0.000000, 0.000000], [0.284679, 0.881036, -0.089996, -0.204762, -0.057712, -0.297514, 0.029346, 0.000000, 0.000000, 0.000000]]
fourier: [[30.175263, 32.383018, 35.501345, 35.954056, 132.302770], [30.227000, 32.907094, 33.781426, 34.791642, 37.690436], [22.266513, 22.426139, 24.251384, 29.949697, 63.532505], [25.938295, 30.478316, 36.155354, 40.690997, 102.117327], [33.094409, 33.888387, 35.761874, 46.757950, 93.476802], [19.305314, 19.915848, 19.966273, 20.894881, 23.736183], [28.916663, 29.050748, 32.837971, 32.867863, 81.189878]]
### 2
mean: [2.166606, 1.585783, 0.672853, -1.194565, -3.356280, 0.903635, 0.839392]
std: [3.071269, 2.388749, 3.336939, 0.652421, 1.818405, 2.444073, 3.261232]
pca: [[0.460693, -0.355258, -0.016910, 0.653204, 0.157332, -0.119902, 0.442111, 0.000000, 0.000000, 0.000000], [-0.339146, -0.427432, 0.268929, -0.425800, 0.199945, 0.154981, 0.620207, 0.000000, 0.000000, 0.000000], [0.513271, -0.204431, 0.659728, -0.234026, 0.220051, 0.054748, -0.391575, 0.000000, 0.000000, 0.000000], [0.068667, 0.204272, -0.107840, 0.151690, 0.297510, 0.911249, 0.005610, 0.000000, 0.000000, 0.000000], [-0.129426, 0.706566, 0.463132, 0.173040, 0.322666, -0.229749, 0.287544, 0.000000, 0.000000, 0.000000], [-0.370651, -0.243679, -0.185175, 0.157175, 0.749947, -0.208078, -0.372193, 0.000000, 0.000000, 0.000000], [-0.500446, -0.221269, 0.481394, 0.509504, -0.363043, 0.179307, -0.212858, 0.000000, 0.000000, 0.000000]]
fourier: [[47.857417, 50.997548, 51.495940, 53.449799, 194.994571], [37.707864, 38.086374, 39.961060, 46.048123, 142.720427], [51.909263, 52.032214, 52.856664, 56.707912, 60.556741], [10.092832, 11.211898, 12.143380, 12.392647, 107.510829], [30.899252, 30.954202, 31.475643, 35.673461, 302.065160], [35.156503, 36.544596, 37.954752, 48.891540, 81.327166], [44.103436, 50.245076, 58.621415, 58.893934, 75.545310]]
### 4
mean: [2.946114, 1.850452, -2.524279, -2.505018, -3.075406, 1.573704, 0.545364]
std: [4.390106, 5.234545, 1.759062, 2.635022, 1.777464, 2.891934, 4.112283]
pca: [[-0.459125, 0.583019, -0.577610, 0.113126, 0.249986, 0.164821, 0.114906, 0.000000, 0.000000, 0.000000], [0.598451, 0.245514, -0.115109, 0.362291, -0.244323, 0.093864, 0.607100, 0.000000, 0.000000, 0.000000], [-0.149682, -0.370687, -0.061755, 0.605032, 0.427107, -0.507213, 0.174996, 0.000000, 0.000000, 0.000000], [-0.267248, -0.395007, -0.092910, -0.496099, 0.058550, 0.082204, 0.712472, 0.000000, 0.000000, 0.000000], [-0.090120, -0.498498, -0.245496, 0.379677, -0.139189, 0.705508, -0.147785, 0.000000, 0.000000, 0.000000], [-0.321212, 0.239954, 0.761663, 0.247203, 0.166975, 0.341815, 0.230841, 0.000000, 0.000000, 0.000000], [0.475327, -0.017142, -0.016517, -0.196230, 0.802939, 0.292271, -0.069705, 0.000000, 0.000000, 0.000000]]
fourier: [[68.654383, 69.357580, 75.905435, 91.668888, 265.150259], [74.701914, 83.083154, 84.594185, 102.521002, 166.540642], [25.499119, 27.238295, 36.297473, 36.596125, 227.185074], [40.227923, 40.574760, 52.071165, 53.691459, 225.451657], [28.454819, 29.106457, 30.235429, 36.980500, 276.786519], [44.869686, 45.097574, 45.167155, 51.338043, 141.633383], [57.068898, 61.465135, 67.005781, 68.202783, 75.625824]]
### 6
mean: [0.134043, 1.434341, -0.664338, -0.797118, 4.378774, 0.219165, -0.440556]
std: [5.641942, 6.957480, 1.452184, 1.014775, 4.444443, 6.165376, 0.122067]
pca: [[0.487546, 0.088932, -0.396507, 0.281249, -0.040428, 0.245434, 0.675425, 0.000000, 0.000000, 0.000000], [0.596291, 0.342779, 0.540952, 0.018073, -0.308836, 0.250803, -0.275141, 0.000000, 0.000000, 0.000000], [-0.124474, -0.070500, 0.319419, 0.192404, 0.700900, 0.589970, 0.034101, 0.000000, 0.000000, 0.000000], [-0.077839, -0.171164, -0.075728, 0.902889, -0.176370, -0.061734, -0.329822, 0.000000, 0.000000, 0.000000], [-0.317523, 0.915527, -0.126519, 0.155532, 0.118863, -0.081390, 0.006307, 0.000000, 0.000000, 0.000000], [0.533200, 0.039449, -0.262926, -0.011086, 0.588969, -0.416109, -0.353353, 0.000000, 0.000000, 0.000000], [0.007754, -0.024099, 0.597707, 0.209835, 0.140021, -0.587549, 0.482965, 0.000000, 0.000000, 0.000000]]
fourier: [[78.865666, 83.678682, 86.916407, 91.318816, 106.900512], [99.535409, 106.734718, 112.022694, 129.090663, 137.369831], [20.800933, 22.089863, 23.373242, 28.607649, 59.790405], [14.874313, 15.304214, 19.299010, 21.537170, 71.740624], [66.298948, 77.542126, 78.734768, 99.789027, 394.089665], [83.834397, 92.141373, 97.239776, 99.701900, 115.393182], [1.752292, 1.807320, 1.998852, 2.356062, 39.650084]]
### 8
mean: [-2.072826, -3.054518, -3.038801, -3.607390, 1.868821, -2.246712, 4.165768]
std: [2.097115, 2.027637, 2.897404, 2.123831, 6.487385, 1.694676, 9.682348]
pca: [[-0.163711, 0.191775, 0.359849, -0.263997, -0.416192, 0.750994, -0.005134, 0.000000, 0.000000, 0.000000], [0.046260, 0.597314, -0.445284, -0.006793, -0.579198, -0.253870, -0.206957, 0.000000, 0.000000, 0.000000], [-0.220088, 0.329263, 0.714301, -0.212032, 0.033097, -0.530999, -0.070062, 0.000000, 0.000000, 0.000000], [-0.027265, 0.643488, -0.181737, -0.120266, 0.687264, 0.255476, 0.009304, 0.000000, 0.000000, 0.000000], [0.527940, 0.198793, 0.128994, 0.029751, -0.119097, -0.047528, 0.804856, 0.000000, 0.000000, 0.000000], [-0.126776, 0.209876, 0.230271, 0.932632, -0.022819, 0.123387, -0.036150, 0.000000, 0.000000, 0.000000], [0.791887, 0.019488, 0.243540, 0.012222, 0.056402, 0.082744, -0.550497, 0.000000, 0.000000, 0.000000]]
fourier: [[30.376464, 33.007776, 41.154500, 43.795898, 186.554366], [35.119029, 35.301393, 35.691625, 47.021793, 274.906616], [43.822442, 45.285331, 57.773651, 59.780045, 273.492133], [33.194214, 35.285202, 41.518860, 43.881416, 324.665061], [95.759066, 103.020627, 104.951594, 131.792784, 168.193861], [26.397579, 26.411169, 33.608061, 34.764727, 202.204039], [147.395581, 150.747114, 166.511593, 200.754868, 374.919075]]
### 10
mean: [-1.375618, 4.479568, -2.668583, -5.059018, 4.347785, -1.075485, 1.990131]
std: [1.971318, 8.122782, 4.380763, 8.823832, 7.990687, 1.705861, 3.615658]
pca: [[0.125492, -0.474522, -0.166865, 0.188568, 0.814630, -0.173835, 0.042871, 0.000000, 0.000000, 0.000000], [-0.517102, 0.000723, 0.500341, 0.416041, 0.090871, -0.110901, -0.537231, 0.000000, 0.000000, 0.000000], [0.278881, 0.501335, -0.389669, 0.611207, -0.046061, -0.367967, -0.089171, 0.000000, 0.000000, 0.000000], [0.561732, 0.007413, 0.714177, 0.264863, -0.004989, 0.042576, 0.319944, 0.000000, 0.000000, 0.000000], [-0.508693, 0.366831, 0.127781, -0.041238, 0.232054, -0.282112, 0.674686, 0.000000, 0.000000, 0.000000], [0.108590, 0.602360, 0.051451, -0.189662, 0.512131, 0.523672, -0.224147, 0.000000, 0.000000, 0.000000], [-0.230175, -0.161354, -0.202359, 0.556734, -0.099228, 0.682972, 0.306244, 0.000000, 0.000000, 0.000000]]
fourier: [[29.680835, 30.796536, 35.725307, 41.339778, 123.805605], [121.909479, 127.169408, 147.186927, 169.868772, 403.161114], [65.646755, 68.653520, 79.374453, 91.490758, 240.172515], [132.425938, 138.148492, 159.889845, 184.523367, 455.311606], [120.002135, 125.049592, 144.797452, 167.197255, 391.300613], [25.480740, 26.787669, 30.902327, 35.526914, 96.793630], [54.233831, 56.627684, 65.514869, 75.575191, 179.111838]]
### 12
mean: [-4.740385]
std: [9.456126]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[141.486886, 148.401909, 171.625287, 197.189817, 426.634644]]
## 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.
ends_with
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.001418, 0.653333, 0.515707, -0.042809, -0.661294], [-0.260721, -0.52358, -0.127986, 0.105346, 0.963253], [0.434772, 0.039017, -0.087942, 0.465748, -0.572106], [-0.092691, -0.209289, 0.120591, -0.091579, 0.985333], [0.157784, 0.753662, -0.099554, 0.1835, -0.701066], [-0.136519, 0.204879, 0.176426, -0.05495, -0.567199], [-0.705659, -0.036158, 0.139974, 0.37989, 0.556698]], "network.0.bias": [0.107889, 0.394886, -0.015703, 0.360597, 0.148039, 0.477569, 0.052514], "network.2.weight": [[0.890418, -0.333136, 0.32489, -0.005191, 0.497001, 0.298443, -0.500166], [0.01614, 0.498965, -0.388118, 0.325864, -0.050408, -0.122938, 0.807256], [0.865844, -0.616325, -0.059849, -0.472796, 0.477593, 0.023869, -0.123424], [-0.048853, -0.029571, -0.072302, -0.216562, 0.056648, -0.283917, -0.289081], [-0.529195, 0.140615, -0.303057, -0.476176, -0.587699, -0.121513, -0.370826], [-0.376855, 0.437293, -0.339114, 0.593566, 0.063487, 0.133159, 0.391085], [0.041436, 0.634033, -0.291187, 0.557633, -0.698582, -0.220205, 0.521977]], "network.2.bias": [0.387252, 0.208059, -0.102964, -0.280414, -0.299791, 0.068123, 0.233108], "network.4.weight": [[0.602382, -0.402859, 1.03757, 0.123055, -0.417106, -0.051668, -0.070146], [-0.285739, 0.751472, -0.259162, -0.254887, 0.42071, 0.593324, 0.609056], [-0.304567, -0.432969, -0.00819, 0.186001, -0.007376, -0.831753, 0.255023], [-0.112118, -0.617881, -0.073717, 0.20227, -0.017294, -0.215982, -0.397082], [-0.557171, -0.491429, -0.020933, 0.005954, -0.556134, -0.505787, 0.027463], [0.630414, 0.239662, 0.185573, 0.309315, -0.358636, -0.486927, -0.308033], [-0.137296, 0.314225, -0.661858, -0.034499, 0.520204, 0.246296, 0.692137]], "network.4.bias": [0.571673, -0.076658, -0.304983, -0.087824, -0.144874, 0.388487, -0.012984], "network.6.weight": [[-0.494079, 0.580784, -0.089925, -0.580886, 0.270521, -0.247339, 0.43493], [-0.209171, 0.728352, 0.496576, -0.275667, 0.349673, -0.702091, 0.691757], [0.159977, -0.125259, -0.251573, 0.18716, 0.214047, -0.065782, -0.192589], [-0.028884, -0.000236, 0.073648, 0.019806, 0.042571, 0.018432, -0.34565], [0.798118, -0.025694, -0.113199, 0.270651, -0.501151, 0.644546, 0.055607], [-0.536425, 0.567847, -0.139226, -0.516091, 0.109359, -0.358414, 0.522603], [0.137269, 0.028683, -0.108898, -0.288452, 0.289564, -0.306334, -0.057183]], "network.6.bias": [-0.053509, 0.356248, -0.373084, -0.102824, 0.24801, 0.287169, -0.235576], "network.8.weight": [[0.055869, -0.358378, 0.130399, -0.007553, -0.127254, -0.130604, 0.270834], [-0.086427, 0.109539, 0.159301, -0.515874, -0.533114, -0.253987, -0.234697], [0.043569, -0.53972, 0.020861, -0.003732, -0.218932, -0.106609, -0.133649], [-0.33621, -0.110474, -0.040129, -0.103519, -0.529819, 0.04622, 0.322158], [0.497162, 0.411113, -0.150912, 0.149765, -0.328465, 0.310386, 0.166602], [-0.145274, 0.028214, -0.320254, -0.066979, -0.108778, -0.343887, -0.228384], [0.702417, 0.6228, -0.307464, -0.012553, -0.247903, 0.646393, -0.328428]], "network.8.bias": [-0.156981, -0.282506, -0.132836, -0.275689, 0.085158, -0.606596, 0.05789], "network.10.weight": [[0.375138, -0.089138, 0.07488, 0.005872, 0.071386, -0.031789, -0.262569], [-0.05075, -0.099258, 0.375538, 0.003584, 0.552192, 0.032323, 0.557262], [0.366356, 0.125313, 0.124375, -0.194139, -0.51464, -0.247932, -0.166115], [-0.102791, 0.268135, -0.394342, 0.173669, -0.61089, 0.241156, -0.598512], [0.347585, -0.173996, 0.453216, -0.195328, 0.381208, -0.269201, 0.64863], [0.181171, 0.266225, 0.36674, -0.058119, -0.373796, 0.331938, 0.04282], [-0.043469, 0.103423, 0.065037, -0.197974, 0.312806, -0.109774, 0.206508]], "network.10.bias": [-0.239291, -0.165629, -0.17288, -0.013394, -0.228978, -0.111327, -0.074621], "network.12.weight": [[0.08517, -0.478496, 0.137967, -0.154218, -0.62978, 0.238616, -0.167871]], "network.12.bias": [0.598324]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6730977296829224, "train_acc": 0.54, "val_loss": 1.0441259145736694, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7628149390220642, "train_acc": 0.58, "val_loss": 0.6680431962013245, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6089602708816528, "train_acc": 0.57, "val_loss": 0.554128110408783, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5137124955654144, "train_acc": 0.755, "val_loss": 0.4931281805038452, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4665502905845642, "train_acc": 0.76, "val_loss": 0.46530425548553467, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.43817031383514404, "train_acc": 0.78, "val_loss": 0.4824816584587097, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.43983718752861023, "train_acc": 0.78, "val_loss": 0.4814609885215759, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.4405922293663025, "train_acc": 0.78, "val_loss": 0.4818904995918274, "val_acc": 0.76}], "summary": {"total_epochs": 8, "degraded_epochs": 2, "improved_epochs": 6, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 1.0441259145736694, "final_val_loss": 0.6680431962013245, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.554128110408783, "final_val_loss": 0.4818904995918274, "initial_val_acc": 0.76, "final_val_acc": 0.76, "best_val_acc": 0.78, "best_epoch": 4}, "improvement": 0.32, "first_improvement_epoch": 1}}
|
9,475
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.54, "improved_accuracy": 0.78, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6695, "learning_rate": 0.04633216218199456, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "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: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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0.131996,
0.298059,
0.312006,
0.120076
],
[
0.282111,
0.030874,
-0.115301,
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0.74945
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}
## Activation Signature
### 0
mean: [1.294595, 0.986449, 1.380628, -2.302374, 2.060751, 1.473069, 0.769294]
std: [1.043993, 1.539311, 1.807446, 1.410471, 2.027888, 1.456764, 1.853156]
pca: [[0.015959, -0.413150, -0.522183, -0.137654, 0.625617, -0.205837, -0.321967, 0.000000, 0.000000, 0.000000], [0.424782, -0.033360, -0.340370, 0.257852, 0.125243, 0.737053, 0.277806, 0.000000, 0.000000, 0.000000], [0.491618, 0.080167, -0.438872, -0.388364, -0.379106, -0.402765, 0.320171, 0.000000, 0.000000, 0.000000], [-0.020699, 0.637028, -0.134845, 0.431684, 0.432279, -0.351704, 0.280485, 0.000000, 0.000000, 0.000000], [0.516569, -0.365756, 0.236938, 0.619299, -0.126030, -0.328972, -0.188685, 0.000000, 0.000000, 0.000000], [0.370249, -0.092528, 0.583235, -0.394630, 0.495319, -0.020867, 0.335683, 0.000000, 0.000000, 0.000000], [-0.416247, -0.523091, -0.066175, 0.195249, -0.033273, -0.140752, 0.699782, 0.000000, 0.000000, 0.000000]]
fourier: [[15.897594, 16.328322, 16.868422, 18.587297, 116.513543], [24.353811, 24.665433, 31.926329, 35.405047, 88.780424], [28.748921, 29.286295, 34.819728, 41.017078, 124.256529], [22.044672, 22.132877, 24.092888, 24.777461, 207.213626], [34.192588, 36.989913, 40.599824, 44.120403, 185.467607], [22.054251, 24.660275, 29.989323, 35.050564, 132.576179], [26.464032, 29.789309, 31.559269, 35.196589, 69.236461]]
### 2
mean: [0.922354, -2.332806, 1.601241, -3.269553, -3.006250, 1.112842, 0.971639]
std: [2.019684, 2.576603, 2.814833, 2.111525, 1.729689, 2.046336, 2.178613]
pca: [[0.349504, 0.159042, 0.520547, -0.572637, 0.350504, -0.189100, 0.308316, 0.000000, 0.000000, 0.000000], [-0.452230, 0.088622, -0.205667, 0.244345, 0.393951, -0.191494, 0.702683, 0.000000, 0.000000, 0.000000], [0.490070, 0.219299, -0.510785, 0.153922, 0.500832, -0.311941, -0.281080, 0.000000, 0.000000, 0.000000], [-0.308513, 0.747492, 0.008106, -0.131751, -0.339781, -0.428893, -0.171026, 0.000000, 0.000000, 0.000000], [-0.283989, 0.392556, -0.046934, -0.198030, 0.427799, 0.699717, -0.226308, 0.000000, 0.000000, 0.000000], [0.340199, 0.392847, 0.433115, 0.684746, -0.053046, 0.220815, 0.147974, 0.000000, 0.000000, 0.000000], [0.376299, 0.227125, -0.485771, -0.251474, -0.412116, 0.328560, 0.479385, 0.000000, 0.000000, 0.000000]]
fourier: [[34.792357, 35.028887, 39.897594, 47.662470, 83.011840], [44.419434, 47.283595, 54.111225, 58.314569, 209.952520], [47.238354, 47.374223, 60.299222, 62.386034, 144.111661], [30.622293, 37.883353, 39.913452, 44.635004, 294.259769], [27.604345, 34.498552, 35.547244, 35.946655, 270.562481], [35.043696, 37.458644, 40.710236, 43.328960, 100.155756], [36.285937, 38.027797, 46.696094, 48.231790, 87.447473]]
### 4
mean: [2.932876, 0.525731, -0.333733, -0.660580, 1.533693, 1.219120, -0.630719]
std: [4.132496, 1.278178, 0.534698, 1.425701, 2.631447, 1.447587, 1.729344]
pca: [[0.719570, -0.407499, -0.176083, -0.206883, 0.484277, -0.079969, -0.037924, 0.000000, 0.000000, 0.000000], [0.222267, 0.245591, -0.296440, -0.243017, -0.207992, 0.827883, -0.121236, 0.000000, 0.000000, 0.000000], [0.092958, -0.048651, 0.221161, -0.092435, -0.035472, 0.171611, 0.949119, 0.000000, 0.000000, 0.000000], [-0.247019, 0.593879, -0.207620, -0.294525, 0.659912, -0.088033, 0.114911, 0.000000, 0.000000, 0.000000], [0.457627, 0.495484, 0.632828, -0.233844, -0.175373, -0.179922, -0.163679, 0.000000, 0.000000, 0.000000], [0.251797, 0.268359, 0.068959, 0.859446, 0.280048, 0.204545, 0.030210, 0.000000, 0.000000, 0.000000], [-0.300553, -0.317881, 0.619575, -0.097580, 0.419870, 0.443626, -0.205253, 0.000000, 0.000000, 0.000000]]
fourier: [[68.817749, 71.110099, 85.576582, 94.439931, 263.958847], [21.148821, 22.630378, 27.394200, 28.664264, 47.315810], [9.044793, 9.214515, 10.901115, 12.007146, 30.035963], [23.534903, 24.091822, 27.575612, 33.100917, 59.452232], [44.536989, 46.253173, 55.704388, 58.248631, 138.032316], [24.441347, 25.065905, 30.492864, 32.286795, 109.720756], [28.636354, 30.281799, 36.927723, 39.142206, 56.764678]]
### 6
mean: [3.086193, -0.718409, -0.654617, 3.492177, -0.917804, -0.404586, 2.715615]
std: [4.545403, 1.781692, 1.702499, 5.072858, 1.384010, 1.421817, 4.173367]
pca: [[0.528995, 0.622269, 0.116630, -0.152073, -0.153450, 0.100342, -0.512447, 0.000000, 0.000000, 0.000000], [-0.207276, 0.251381, -0.444262, 0.487538, 0.231190, 0.628653, -0.100640, 0.000000, 0.000000, 0.000000], [-0.198031, 0.292799, -0.166069, 0.556318, -0.472560, -0.560597, -0.020030, 0.000000, 0.000000, 0.000000], [0.590580, -0.356568, -0.404942, 0.268966, 0.386775, -0.327758, -0.175310, 0.000000, 0.000000, 0.000000], [-0.160437, 0.558113, -0.141531, -0.238275, 0.602864, -0.365211, 0.298565, 0.000000, 0.000000, 0.000000], [-0.165395, -0.034416, 0.698572, 0.429416, 0.428895, -0.090208, -0.327063, 0.000000, 0.000000, 0.000000], [0.485907, 0.155057, 0.299061, 0.340844, -0.051965, 0.177529, 0.707124, 0.000000, 0.000000, 0.000000]]
fourier: [[75.109879, 79.199200, 96.317263, 102.101058, 277.757338], [29.544962, 31.361944, 37.006420, 39.988894, 64.656805], [28.404946, 29.604676, 34.818918, 38.453985, 58.915544], [84.053699, 87.890480, 104.507119, 115.138089, 314.295946], [23.492868, 23.702781, 27.359046, 31.571922, 82.602320], [23.483450, 24.649284, 29.707371, 32.581477, 36.412739], [69.201322, 72.491028, 87.266263, 94.028583, 244.405331]]
### 8
mean: [-3.214303]
std: [5.504079]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[91.469534, 95.867989, 116.709365, 123.165448, 289.287290]]
## 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.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
mean: [1.294595, 0.986449, 1.380628, -2.302374, 2.060751, 1.473069, 0.769294]
std: [1.043993, 1.539311, 1.807446, 1.410471, 2.027888, 1.456764, 1.853156]
pca: [[0.015959, -0.413150, -0.522183, -0.137654, 0.625617, -0.205837, -0.321967, 0.000000, 0.000000, 0.000000], [0.424782, -0.033360, -0.340370, 0.257852, 0.125243, 0.737053, 0.277806, 0.000000, 0.000000, 0.000000], [0.491618, 0.080167, -0.438872, -0.388364, -0.379106, -0.402765, 0.320171, 0.000000, 0.000000, 0.000000], [-0.020699, 0.637028, -0.134845, 0.431684, 0.432279, -0.351704, 0.280485, 0.000000, 0.000000, 0.000000], [0.516569, -0.365756, 0.236938, 0.619299, -0.126030, -0.328972, -0.188685, 0.000000, 0.000000, 0.000000], [0.370249, -0.092528, 0.583235, -0.394630, 0.495319, -0.020867, 0.335683, 0.000000, 0.000000, 0.000000], [-0.416247, -0.523091, -0.066175, 0.195249, -0.033273, -0.140752, 0.699782, 0.000000, 0.000000, 0.000000]]
fourier: [[15.897594, 16.328322, 16.868422, 18.587297, 116.513543], [24.353811, 24.665433, 31.926329, 35.405047, 88.780424], [28.748921, 29.286295, 34.819728, 41.017078, 124.256529], [22.044672, 22.132877, 24.092888, 24.777461, 207.213626], [34.192588, 36.989913, 40.599824, 44.120403, 185.467607], [22.054251, 24.660275, 29.989323, 35.050564, 132.576179], [26.464032, 29.789309, 31.559269, 35.196589, 69.236461]]
### 2
mean: [0.922354, -2.332806, 1.601241, -3.269553, -3.006250, 1.112842, 0.971639]
std: [2.019684, 2.576603, 2.814833, 2.111525, 1.729689, 2.046336, 2.178613]
pca: [[0.349504, 0.159042, 0.520547, -0.572637, 0.350504, -0.189100, 0.308316, 0.000000, 0.000000, 0.000000], [-0.452230, 0.088622, -0.205667, 0.244345, 0.393951, -0.191494, 0.702683, 0.000000, 0.000000, 0.000000], [0.490070, 0.219299, -0.510785, 0.153922, 0.500832, -0.311941, -0.281080, 0.000000, 0.000000, 0.000000], [-0.308513, 0.747492, 0.008106, -0.131751, -0.339781, -0.428893, -0.171026, 0.000000, 0.000000, 0.000000], [-0.283989, 0.392556, -0.046934, -0.198030, 0.427799, 0.699717, -0.226308, 0.000000, 0.000000, 0.000000], [0.340199, 0.392847, 0.433115, 0.684746, -0.053046, 0.220815, 0.147974, 0.000000, 0.000000, 0.000000], [0.376299, 0.227125, -0.485771, -0.251474, -0.412116, 0.328560, 0.479385, 0.000000, 0.000000, 0.000000]]
fourier: [[34.792357, 35.028887, 39.897594, 47.662470, 83.011840], [44.419434, 47.283595, 54.111225, 58.314569, 209.952520], [47.238354, 47.374223, 60.299222, 62.386034, 144.111661], [30.622293, 37.883353, 39.913452, 44.635004, 294.259769], [27.604345, 34.498552, 35.547244, 35.946655, 270.562481], [35.043696, 37.458644, 40.710236, 43.328960, 100.155756], [36.285937, 38.027797, 46.696094, 48.231790, 87.447473]]
### 4
mean: [2.932876, 0.525731, -0.333733, -0.660580, 1.533693, 1.219120, -0.630719]
std: [4.132496, 1.278178, 0.534698, 1.425701, 2.631447, 1.447587, 1.729344]
pca: [[0.719570, -0.407499, -0.176083, -0.206883, 0.484277, -0.079969, -0.037924, 0.000000, 0.000000, 0.000000], [0.222267, 0.245591, -0.296440, -0.243017, -0.207992, 0.827883, -0.121236, 0.000000, 0.000000, 0.000000], [0.092958, -0.048651, 0.221161, -0.092435, -0.035472, 0.171611, 0.949119, 0.000000, 0.000000, 0.000000], [-0.247019, 0.593879, -0.207620, -0.294525, 0.659912, -0.088033, 0.114911, 0.000000, 0.000000, 0.000000], [0.457627, 0.495484, 0.632828, -0.233844, -0.175373, -0.179922, -0.163679, 0.000000, 0.000000, 0.000000], [0.251797, 0.268359, 0.068959, 0.859446, 0.280048, 0.204545, 0.030210, 0.000000, 0.000000, 0.000000], [-0.300553, -0.317881, 0.619575, -0.097580, 0.419870, 0.443626, -0.205253, 0.000000, 0.000000, 0.000000]]
fourier: [[68.817749, 71.110099, 85.576582, 94.439931, 263.958847], [21.148821, 22.630378, 27.394200, 28.664264, 47.315810], [9.044793, 9.214515, 10.901115, 12.007146, 30.035963], [23.534903, 24.091822, 27.575612, 33.100917, 59.452232], [44.536989, 46.253173, 55.704388, 58.248631, 138.032316], [24.441347, 25.065905, 30.492864, 32.286795, 109.720756], [28.636354, 30.281799, 36.927723, 39.142206, 56.764678]]
### 6
mean: [3.086193, -0.718409, -0.654617, 3.492177, -0.917804, -0.404586, 2.715615]
std: [4.545403, 1.781692, 1.702499, 5.072858, 1.384010, 1.421817, 4.173367]
pca: [[0.528995, 0.622269, 0.116630, -0.152073, -0.153450, 0.100342, -0.512447, 0.000000, 0.000000, 0.000000], [-0.207276, 0.251381, -0.444262, 0.487538, 0.231190, 0.628653, -0.100640, 0.000000, 0.000000, 0.000000], [-0.198031, 0.292799, -0.166069, 0.556318, -0.472560, -0.560597, -0.020030, 0.000000, 0.000000, 0.000000], [0.590580, -0.356568, -0.404942, 0.268966, 0.386775, -0.327758, -0.175310, 0.000000, 0.000000, 0.000000], [-0.160437, 0.558113, -0.141531, -0.238275, 0.602864, -0.365211, 0.298565, 0.000000, 0.000000, 0.000000], [-0.165395, -0.034416, 0.698572, 0.429416, 0.428895, -0.090208, -0.327063, 0.000000, 0.000000, 0.000000], [0.485907, 0.155057, 0.299061, 0.340844, -0.051965, 0.177529, 0.707124, 0.000000, 0.000000, 0.000000]]
fourier: [[75.109879, 79.199200, 96.317263, 102.101058, 277.757338], [29.544962, 31.361944, 37.006420, 39.988894, 64.656805], [28.404946, 29.604676, 34.818918, 38.453985, 58.915544], [84.053699, 87.890480, 104.507119, 115.138089, 314.295946], [23.492868, 23.702781, 27.359046, 31.571922, 82.602320], [23.483450, 24.649284, 29.707371, 32.581477, 36.412739], [69.201322, 72.491028, 87.266263, 94.028583, 244.405331]]
### 8
mean: [-3.214303]
std: [5.504079]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[91.469534, 95.867989, 116.709365, 123.165448, 289.287290]]
## 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.
ends_with
|
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"fourier": [69.20132246253871, 72.4910277175265, 87.26626306083098, 94.02858307259575, 244.40533056110144]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -3.2143030166625977, "std": 5.5040788650512695, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [91.46953370133583, 95.86798886844825, 116.70936504053033, 123.1654479168027, 289.2872903198004]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "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": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.208296, 0.131996, 0.298059, 0.312006, 0.120076], [0.282111, 0.030874, -0.115301, -0.013191, 0.74945], [0.228301, 0.07732, -0.046959, -0.259278, 0.907625], [-0.038035, -0.256973, -0.508408, -0.302062, 0.149362], [0.654281, 0.07137, 0.003588, 0.22627, 0.616921], [0.557988, -0.263546, 0.158169, 0.021121, 0.338869], [-0.38829, 0.261762, 0.333267, 0.439367, -0.713622]], "network.0.bias": [-0.126504, -0.076065, 0.49032, -0.26123, -0.137105, 0.465295, 0.017288], "network.2.weight": [[0.047621, 0.423164, -0.04089, -0.550299, 0.289048, 0.415737, -0.435191], [-0.208459, -0.265674, -0.315664, -0.2001, -0.47938, -0.389319, 0.252409], [0.128924, 0.821596, 0.399, -0.261405, 0.089383, 0.337027, -0.391833], [-0.684065, 0.096123, -0.280741, 0.397037, -0.446895, -0.537471, -0.333566], [-0.288228, 0.014611, -0.331595, 0.529783, -0.407121, -0.308307, -0.195945], [-0.487508, 0.365287, 0.489501, -0.299591, 0.055777, 0.359658, -0.126274], [0.169794, 0.395349, 0.37901, -0.214801, 0.233955, 0.064763, -0.491961]], "network.2.bias": [-0.237565, -0.127461, -0.200256, -0.078526, -0.701611, 0.161315, -0.214803], "network.4.weight": [[0.374952, 0.34627, 0.698643, -0.339445, 0.194575, 0.454465, 0.450843], [0.360155, 0.108575, -0.053018, 0.198286, 0.360926, 0.092309, 0.319852], [0.03334, 0.040362, 0.052754, 0.001017, -0.065355, 0.13655, 0.051993], [0.172126, -0.103161, -0.132227, 0.318972, 0.13944, -0.307513, -0.445194], [0.680875, 0.224221, -0.010964, 0.058615, -0.241882, 0.485233, 0.322778], [0.425374, -0.666524, 0.048981, -0.118908, -0.342933, 0.150414, 0.185594], [-0.508871, -0.27498, 0.073747, -0.270862, -0.015267, -0.043981, -0.494876]], "network.4.bias": [0.054008, -0.301177, -0.716911, 0.359783, -0.297959, 0.134067, 0.493262], "network.6.weight": [[0.736935, 0.126234, 0.123392, -0.504064, 0.373924, 0.154455, -0.634841], [-0.048276, -0.622699, -0.438497, 0.015357, -0.448086, 0.326663, 0.486671], [-0.118391, -0.297018, -0.600737, 0.260952, -0.378886, 0.196961, 0.083117], [0.742845, 0.619067, 0.511919, 0.137018, 0.374207, 0.114783, -0.382193], [-0.03132, -0.618564, -0.082046, -0.010833, -0.236668, 0.045138, -0.100044], [-0.25233, -0.76649, -0.599257, 0.467899, 0.162161, 0.242928, 0.297283], [0.605764, 0.113127, -0.121307, -0.150456, 0.490589, 0.191215, -0.296186]], "network.6.bias": [0.209594, 0.065756, 0.2284, 0.228449, -0.073955, 0.15711, -0.110918], "network.8.weight": [[-0.518633, 0.212928, 0.298684, -0.280351, 0.103275, 0.420055, -0.393567]], "network.8.bias": [0.366646]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7177180051803589, "train_acc": 0.43, "val_loss": 0.6873844861984253, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6802137196063995, "train_acc": 0.545, "val_loss": 0.6592555046081543, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.611635684967041, "train_acc": 0.57, "val_loss": 0.5967416167259216, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5663111805915833, "train_acc": 0.49, "val_loss": 0.5133151412010193, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.44358575344085693, "train_acc": 0.825, "val_loss": 0.4529699683189392, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.3507532775402069, "train_acc": 0.885, "val_loss": 0.4474699795246124, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.30668364465236664, "train_acc": 0.875, "val_loss": 0.46884506940841675, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.2675035893917084, "train_acc": 0.875, "val_loss": 0.5450047850608826, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.23588747531175613, "train_acc": 0.905, "val_loss": 0.5831395387649536, "val_acc": 0.78}], "summary": {"total_epochs": 9, "degraded_epochs": 3, "improved_epochs": 6, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6873844861984253, "final_val_loss": 0.5967416167259216, "initial_val_acc": 0.52, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.5133151412010193, "final_val_loss": 0.5831395387649536, "initial_val_acc": 0.74, "final_val_acc": 0.78, "best_val_acc": 0.78, "best_epoch": 5}, "improvement": 0.24, "first_improvement_epoch": 2}}
|
9,476
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.48, "improved_accuracy": 0.92, "improvement": 0.44000000000000006, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1736, "learning_rate": 0.09690215094328872, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "starts_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["starts_with"], "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: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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## Activation Signature
### 0
mean: [-1.919402, -0.711205, -0.461840, -2.603884, 3.288459, -0.690433]
std: [2.199627, 1.992422, 2.287363, 1.919263, 2.450747, 2.029524]
pca: [[0.505018, -0.206999, 0.382958, 0.325215, 0.139657, 0.655883, 0.000000, 0.000000, 0.000000, 0.000000], [0.425159, -0.225719, -0.315144, -0.509318, 0.632620, -0.096758, 0.000000, 0.000000, 0.000000, 0.000000], [0.532679, -0.193639, -0.300490, 0.526687, -0.230426, -0.507905, 0.000000, 0.000000, 0.000000, 0.000000], [0.189953, 0.211196, 0.777894, -0.097711, 0.176558, -0.522949, 0.000000, 0.000000, 0.000000, 0.000000], [-0.494158, -0.552583, 0.101226, 0.413072, 0.493030, -0.162807, 0.000000, 0.000000, 0.000000, 0.000000], [-0.013229, 0.720246, -0.219926, 0.421017, 0.502932, 0.050062, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[40.009401, 40.805940, 44.102290, 46.194273, 172.746191], [30.095344, 33.370969, 40.357041, 42.419716, 64.008434], [36.482624, 40.708746, 41.565594, 44.167222, 51.027611], [29.632506, 30.288983, 35.627149, 39.206718, 234.349597], [39.349161, 42.590093, 43.189028, 45.969718, 295.961293], [28.557808, 30.904782, 32.792665, 38.662723, 62.138934]]
### 2
mean: [0.858584, -2.501798, -1.837735, 1.477195, -1.303864, -1.337871]
std: [0.576499, 1.524493, 1.217280, 1.208255, 1.097584, 1.084515]
pca: [[0.025456, -0.423088, 0.010505, 0.632299, 0.606029, -0.230575, 0.000000, 0.000000, 0.000000, 0.000000], [0.623077, 0.043465, -0.218288, -0.080387, 0.343554, 0.661623, 0.000000, 0.000000, 0.000000, 0.000000], [0.437257, 0.384019, -0.544726, 0.318343, -0.244582, -0.451051, 0.000000, 0.000000, 0.000000, 0.000000], [-0.377911, 0.608687, -0.196526, -0.211768, 0.627029, -0.100253, 0.000000, 0.000000, 0.000000, 0.000000], [0.421939, -0.254244, 0.132670, -0.622262, 0.246148, -0.540303, 0.000000, 0.000000, 0.000000, 0.000000], [0.314776, 0.486310, 0.774138, 0.245638, 0.033544, -0.060548, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.644671, 9.292271, 10.653929, 11.168136, 77.272556], [22.378710, 23.718263, 25.281120, 30.328136, 225.161835], [18.836990, 19.151805, 19.674084, 24.819986, 165.396111], [19.120859, 20.275879, 20.323367, 22.664286, 132.947565], [17.605505, 19.187639, 19.321692, 20.520748, 117.347742], [16.643062, 17.143667, 17.302944, 18.514589, 120.408431]]
### 4
mean: [0.289246, -1.051485, -0.208533, -0.141297, 0.437901, 0.390839]
std: [0.511771, 0.298284, 0.714591, 0.745272, 0.831521, 0.685477]
pca: [[0.305181, -0.535592, 0.092173, 0.760761, -0.160961, -0.082736, 0.000000, 0.000000, 0.000000, 0.000000], [0.186049, -0.073572, 0.891944, -0.276384, -0.265762, 0.131877, 0.000000, 0.000000, 0.000000, 0.000000], [-0.454744, 0.080148, 0.414748, 0.339893, 0.706367, 0.016952, 0.000000, 0.000000, 0.000000, 0.000000], [-0.465206, 0.448813, 0.045252, 0.405489, -0.578910, 0.283803, 0.000000, 0.000000, 0.000000, 0.000000], [0.526175, 0.296607, -0.072192, 0.141851, 0.261559, 0.735811, 0.000000, 0.000000, 0.000000, 0.000000], [0.414949, 0.641792, 0.129093, 0.211624, 0.030955, -0.594570, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.261504, 8.339953, 8.777294, 9.209615, 26.032145], [4.739515, 4.790425, 4.835057, 5.510019, 94.633688], [11.838336, 12.000018, 12.084351, 12.197750, 18.767944], [11.520696, 12.300319, 12.410086, 12.716747, 12.827791], [13.269638, 13.673221, 13.918921, 15.527029, 39.411135], [10.613943, 10.866680, 11.382268, 13.412984, 35.175498]]
### 6
mean: [0.527229, 0.600470, -0.046515, 0.124169, 0.634595, -0.361107]
std: [0.862266, 1.139754, 0.724175, 0.636806, 0.976333, 1.232647]
pca: [[-0.360065, 0.673653, 0.539227, -0.307645, -0.072912, 0.160677, 0.000000, 0.000000, 0.000000, 0.000000], [-0.493267, 0.180697, -0.010218, 0.712504, -0.001306, -0.465047, 0.000000, 0.000000, 0.000000, 0.000000], [0.313437, 0.027000, 0.341447, 0.624546, -0.025632, 0.627477, 0.000000, 0.000000, 0.000000, 0.000000], [-0.263904, -0.534387, 0.544869, -0.069834, 0.583687, -0.048324, 0.000000, 0.000000, 0.000000, 0.000000], [-0.421964, 0.140544, -0.543708, 0.003087, 0.488649, 0.517483, 0.000000, 0.000000, 0.000000, 0.000000], [0.530187, 0.455509, -0.006672, 0.052434, 0.643860, -0.306697, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.438948, 13.779230, 14.316786, 15.639127, 47.450587], [17.477763, 18.400183, 19.091287, 19.721236, 54.042286], [10.295349, 10.568272, 11.541434, 11.804657, 12.246866], [9.795845, 10.145965, 10.300559, 10.844379, 11.175207], [14.194491, 15.503735, 15.901585, 17.013219, 57.113584], [18.940035, 19.350523, 19.434585, 20.843198, 32.499615]]
### 8
mean: [-0.953575]
std: [1.567095]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.079530, 25.195875, 25.390537, 25.441988, 85.821718]]
## 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.
|
starts_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.413889,
0.790634,
0.165535
],
[
-0.243765,
0.502241,
0.618237,
0.104973,
0.635989,
0.127474
],
[
0.332646,
0.733169,
0.795157,
-0.48078,
-0.243695,
-0.770688
],
[
0.198197,
-0.138316,
0.453213,
-0.523485,
-0.429715,
-0.970864
],
[
-0.598498,
-1.103913,
-0.662385,
0.487303,
-0.074561,
0.01173
],
[
-0.69109,
-0.558927,
-1.203153,
0.280727,
0.376908,
-0.4701
]
],
"network.4.bias": [
-0.258061,
-0.861622,
0.233222,
0.339542,
0.064526,
0.366495
],
"network.6.weight": [
[
0.073034,
-0.433491,
-0.780705,
-1.044983,
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0.13976
],
[
0.599312,
-0.010948,
-0.786312,
-0.466362,
0.408558,
0.859231
],
[
-0.132001,
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],
[
0.730476,
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],
[
0.159153,
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],
[
-0.940324,
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0.339758,
-0.724726,
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]
],
"network.6.bias": [
0.283558,
0.010635,
0.313751,
-0.192534,
-0.033422,
0.370106
],
"network.8.weight": [
[
-0.481141,
-0.576355,
0.326649,
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-0.46629,
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]
],
"network.8.bias": [
-0.061754
]
}
## Activation Signature
### 0
mean: [-1.919402, -0.711205, -0.461840, -2.603884, 3.288459, -0.690433]
std: [2.199627, 1.992422, 2.287363, 1.919263, 2.450747, 2.029524]
pca: [[0.505018, -0.206999, 0.382958, 0.325215, 0.139657, 0.655883, 0.000000, 0.000000, 0.000000, 0.000000], [0.425159, -0.225719, -0.315144, -0.509318, 0.632620, -0.096758, 0.000000, 0.000000, 0.000000, 0.000000], [0.532679, -0.193639, -0.300490, 0.526687, -0.230426, -0.507905, 0.000000, 0.000000, 0.000000, 0.000000], [0.189953, 0.211196, 0.777894, -0.097711, 0.176558, -0.522949, 0.000000, 0.000000, 0.000000, 0.000000], [-0.494158, -0.552583, 0.101226, 0.413072, 0.493030, -0.162807, 0.000000, 0.000000, 0.000000, 0.000000], [-0.013229, 0.720246, -0.219926, 0.421017, 0.502932, 0.050062, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[40.009401, 40.805940, 44.102290, 46.194273, 172.746191], [30.095344, 33.370969, 40.357041, 42.419716, 64.008434], [36.482624, 40.708746, 41.565594, 44.167222, 51.027611], [29.632506, 30.288983, 35.627149, 39.206718, 234.349597], [39.349161, 42.590093, 43.189028, 45.969718, 295.961293], [28.557808, 30.904782, 32.792665, 38.662723, 62.138934]]
### 2
mean: [0.858584, -2.501798, -1.837735, 1.477195, -1.303864, -1.337871]
std: [0.576499, 1.524493, 1.217280, 1.208255, 1.097584, 1.084515]
pca: [[0.025456, -0.423088, 0.010505, 0.632299, 0.606029, -0.230575, 0.000000, 0.000000, 0.000000, 0.000000], [0.623077, 0.043465, -0.218288, -0.080387, 0.343554, 0.661623, 0.000000, 0.000000, 0.000000, 0.000000], [0.437257, 0.384019, -0.544726, 0.318343, -0.244582, -0.451051, 0.000000, 0.000000, 0.000000, 0.000000], [-0.377911, 0.608687, -0.196526, -0.211768, 0.627029, -0.100253, 0.000000, 0.000000, 0.000000, 0.000000], [0.421939, -0.254244, 0.132670, -0.622262, 0.246148, -0.540303, 0.000000, 0.000000, 0.000000, 0.000000], [0.314776, 0.486310, 0.774138, 0.245638, 0.033544, -0.060548, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.644671, 9.292271, 10.653929, 11.168136, 77.272556], [22.378710, 23.718263, 25.281120, 30.328136, 225.161835], [18.836990, 19.151805, 19.674084, 24.819986, 165.396111], [19.120859, 20.275879, 20.323367, 22.664286, 132.947565], [17.605505, 19.187639, 19.321692, 20.520748, 117.347742], [16.643062, 17.143667, 17.302944, 18.514589, 120.408431]]
### 4
mean: [0.289246, -1.051485, -0.208533, -0.141297, 0.437901, 0.390839]
std: [0.511771, 0.298284, 0.714591, 0.745272, 0.831521, 0.685477]
pca: [[0.305181, -0.535592, 0.092173, 0.760761, -0.160961, -0.082736, 0.000000, 0.000000, 0.000000, 0.000000], [0.186049, -0.073572, 0.891944, -0.276384, -0.265762, 0.131877, 0.000000, 0.000000, 0.000000, 0.000000], [-0.454744, 0.080148, 0.414748, 0.339893, 0.706367, 0.016952, 0.000000, 0.000000, 0.000000, 0.000000], [-0.465206, 0.448813, 0.045252, 0.405489, -0.578910, 0.283803, 0.000000, 0.000000, 0.000000, 0.000000], [0.526175, 0.296607, -0.072192, 0.141851, 0.261559, 0.735811, 0.000000, 0.000000, 0.000000, 0.000000], [0.414949, 0.641792, 0.129093, 0.211624, 0.030955, -0.594570, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.261504, 8.339953, 8.777294, 9.209615, 26.032145], [4.739515, 4.790425, 4.835057, 5.510019, 94.633688], [11.838336, 12.000018, 12.084351, 12.197750, 18.767944], [11.520696, 12.300319, 12.410086, 12.716747, 12.827791], [13.269638, 13.673221, 13.918921, 15.527029, 39.411135], [10.613943, 10.866680, 11.382268, 13.412984, 35.175498]]
### 6
mean: [0.527229, 0.600470, -0.046515, 0.124169, 0.634595, -0.361107]
std: [0.862266, 1.139754, 0.724175, 0.636806, 0.976333, 1.232647]
pca: [[-0.360065, 0.673653, 0.539227, -0.307645, -0.072912, 0.160677, 0.000000, 0.000000, 0.000000, 0.000000], [-0.493267, 0.180697, -0.010218, 0.712504, -0.001306, -0.465047, 0.000000, 0.000000, 0.000000, 0.000000], [0.313437, 0.027000, 0.341447, 0.624546, -0.025632, 0.627477, 0.000000, 0.000000, 0.000000, 0.000000], [-0.263904, -0.534387, 0.544869, -0.069834, 0.583687, -0.048324, 0.000000, 0.000000, 0.000000, 0.000000], [-0.421964, 0.140544, -0.543708, 0.003087, 0.488649, 0.517483, 0.000000, 0.000000, 0.000000, 0.000000], [0.530187, 0.455509, -0.006672, 0.052434, 0.643860, -0.306697, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.438948, 13.779230, 14.316786, 15.639127, 47.450587], [17.477763, 18.400183, 19.091287, 19.721236, 54.042286], [10.295349, 10.568272, 11.541434, 11.804657, 12.246866], [9.795845, 10.145965, 10.300559, 10.844379, 11.175207], [14.194491, 15.503735, 15.901585, 17.013219, 57.113584], [18.940035, 19.350523, 19.434585, 20.843198, 32.499615]]
### 8
mean: [-0.953575]
std: [1.567095]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.079530, 25.195875, 25.390537, 25.441988, 85.821718]]
## 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.
starts_with
|
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62.13893395662308]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "2": {"neuron_profiles": {"0": {"mean": 0.8585839867591858, "std": 0.576498806476593, "pca": [0.025456363335251808, -0.4230881929397583, 0.010505207814276218, 0.6322985887527466, 0.6060293316841125, -0.2305753231048584, 0.0, 0.0, 0.0, 0.0], "fourier": [8.64467069138879, 9.292271291474588, 10.653929205546081, 11.16813610946219, 77.27255550026894]}, "1": {"mean": -2.501798152923584, "std": 1.5244934558868408, "pca": [0.6230773329734802, 0.04346490278840065, -0.21828778088092804, -0.08038684725761414, 0.3435538709163666, 0.6616227030754089, 0.0, 0.0, 0.0, 0.0], "fourier": [22.378710311922298, 23.718262863229402, 25.281120338157855, 30.32813620297477, 225.16183471679688]}, "2": {"mean": -1.8377346992492676, "std": 1.2172801494598389, "pca": [0.43725690245628357, 0.38401857018470764, -0.5447260141372681, 0.31834325194358826, -0.2445821762084961, 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[14.194491335663187, 15.503735087410329, 15.901585315717522, 17.013219370418632, 57.11358379200101]}, "5": {"mean": -0.36110684275627136, "std": 1.2326470613479614, "pca": [0.5301873683929443, 0.4555089771747589, -0.006671648006886244, 0.05243375524878502, 0.6438604593276978, -0.30669665336608887, 0.0, 0.0, 0.0, 0.0], "fourier": [18.940035206040793, 19.350523209117554, 19.434585186755903, 20.84319765262967, 32.49961483478546]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -0.9535747170448303, "std": 1.5670949220657349, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [23.079530160238885, 25.195875187017204, 25.39053737637624, 25.441988010368785, 85.82171802222729]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "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": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.393356, 0.504102, -0.567288, -0.041209, -0.680087], [-0.320073, -0.009758, -0.786436, 0.380701, 0.085774], [-0.85994, 0.698556, -0.496004, 0.173777, -0.043909], [0.034741, -0.135494, -0.09833, -0.433719, -0.78966], [0.979028, 0.323104, 0.138392, 0.219849, 0.063968], [-0.642839, 0.099315, 0.302958, -0.776906, 0.589641]], "network.0.bias": [-0.236333, 0.425486, 0.052982, -0.290817, 0.641913, 0.234533], "network.2.weight": [[-0.192142, 0.357594, 0.222314, 1.31891, -0.013515, 0.529531], [0.140498, 0.227227, -0.642234, -0.610968, -0.573854, -0.143651], [0.236225, 0.293797, -0.975214, -0.502448, -0.362334, -0.371557], [0.642621, -0.35767, -0.363313, -1.160278, 0.369195, -0.524892], [0.050881, 0.029733, -0.009434, 0.269859, -0.440731, 0.012142], [-0.654001, -0.968767, -0.067688, -0.344828, -0.29902, -0.257226]], "network.2.bias": [0.485551, -0.371583, -0.138996, 0.748292, 0.123612, 0.191774], "network.4.weight": [[0.066238, -0.362288, 0.062708, 0.413889, 0.790634, 0.165535], [-0.243765, 0.502241, 0.618237, 0.104973, 0.635989, 0.127474], [0.332646, 0.733169, 0.795157, -0.48078, -0.243695, -0.770688], [0.198197, -0.138316, 0.453213, -0.523485, -0.429715, -0.970864], [-0.598498, -1.103913, -0.662385, 0.487303, -0.074561, 0.01173], [-0.69109, -0.558927, -1.203153, 0.280727, 0.376908, -0.4701]], "network.4.bias": [-0.258061, -0.861622, 0.233222, 0.339542, 0.064526, 0.366495], "network.6.weight": [[0.073034, -0.433491, -0.780705, -1.044983, 0.565082, 0.13976], [0.599312, -0.010948, -0.786312, -0.466362, 0.408558, 0.859231], [-0.132001, -0.510248, 0.265834, 0.319026, -0.608211, -0.405137], [0.730476, 0.369232, 0.025717, -0.196143, 0.668597, -0.289926], [0.159153, -0.627519, -0.623639, -0.21332, 0.622779, 0.765508], [-0.940324, -0.322957, 0.267379, 0.339758, -0.724726, -0.61807]], "network.6.bias": [0.283558, 0.010635, 0.313751, -0.192534, -0.033422, 0.370106], "network.8.weight": [[-0.481141, -0.576355, 0.326649, -0.262547, -0.46629, 0.491171]], "network.8.bias": [-0.061754]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6803049147129059, "train_acc": 0.575, "val_loss": 0.7353931665420532, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6805642247200012, "train_acc": 0.575, "val_loss": 0.7164766788482666, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.674598902463913, "train_acc": 0.575, "val_loss": 0.671983003616333, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6370554268360138, "train_acc": 0.6, "val_loss": 0.4906075596809387, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5644953846931458, "train_acc": 0.735, "val_loss": 0.575178325176239, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.49605268239974976, "train_acc": 0.72, "val_loss": 0.38045021891593933, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5081666707992554, "train_acc": 0.735, "val_loss": 0.345389723777771, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.47212038934230804, "train_acc": 0.78, "val_loss": 0.30620869994163513, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3755396753549576, "train_acc": 0.845, "val_loss": 0.4161008596420288, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.3817657232284546, "train_acc": 0.81, "val_loss": 0.4172596037387848, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.347802072763443, "train_acc": 0.835, "val_loss": 0.2842279374599457, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.32123327255249023, "train_acc": 0.87, "val_loss": 0.3373764157295227, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.3326874226331711, "train_acc": 0.87, "val_loss": 0.5293233394622803, "val_acc": 0.8}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.7353931665420532, "final_val_loss": 0.671983003616333, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.4906075596809387, "final_val_loss": 0.5293233394622803, "initial_val_acc": 0.78, "final_val_acc": 0.8, "best_val_acc": 0.92, "best_epoch": 5}, "improvement": 0.44000000000000006, "first_improvement_epoch": 2}}
|
9,477
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.68, "improved_accuracy": 0.88, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7570, "learning_rate": 0.06968582215357495, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "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: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
mean: [0.220328, -1.829113, 0.096099, -2.804510, -0.427437, -1.132312]
std: [1.304104, 1.895524, 1.895290, 1.741003, 2.274447, 1.644968]
pca: [[-0.116457, -0.463018, -0.135862, 0.719244, -0.451588, -0.179862, 0.000000, 0.000000, 0.000000, 0.000000], [0.435064, -0.060767, -0.680399, -0.391996, -0.400632, -0.172967, 0.000000, 0.000000, 0.000000, 0.000000], [0.445768, -0.143592, 0.690367, -0.185547, -0.302989, -0.421706, 0.000000, 0.000000, 0.000000, 0.000000], [0.196457, 0.845116, 0.016494, 0.380758, -0.319155, 0.008683, 0.000000, 0.000000, 0.000000, 0.000000], [0.622357, -0.216611, 0.076836, 0.200587, 0.072302, 0.717206, 0.000000, 0.000000, 0.000000, 0.000000], [0.415361, 0.012771, -0.189253, 0.330738, 0.660812, -0.495415, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.829509, 20.065395, 20.771172, 22.076871, 22.291980], [29.783696, 29.859837, 34.050843, 34.249605, 164.620161], [27.467175, 29.342917, 29.943979, 30.110761, 38.905181], [24.269808, 24.428422, 32.464146, 36.548665, 252.405923], [38.469332, 38.472704, 39.884863, 44.511628, 45.815373], [30.032455, 30.653286, 33.623832, 35.287303, 101.908099]]
### 2
mean: [0.811431, 0.658517, 0.630809, -0.499845, 0.213596, 0.682223]
std: [0.803770, 1.325054, 0.399989, 0.423143, 0.666777, 0.581063]
pca: [[0.412132, 0.477459, -0.462424, 0.088437, 0.130846, 0.602829, 0.000000, 0.000000, 0.000000, 0.000000], [0.810072, -0.022181, 0.150811, 0.220381, 0.175699, -0.491029, 0.000000, 0.000000, 0.000000, 0.000000], [0.153064, 0.158415, 0.849844, -0.185194, 0.044713, 0.439256, 0.000000, 0.000000, 0.000000, 0.000000], [-0.196050, -0.317494, 0.093516, 0.684889, 0.573585, 0.232259, 0.000000, 0.000000, 0.000000, 0.000000], [-0.228326, 0.637506, 0.179876, 0.578220, -0.356525, -0.218287, 0.000000, 0.000000, 0.000000, 0.000000], [-0.244814, 0.489111, 0.009250, -0.325427, 0.702780, -0.317724, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.939096, 13.516173, 14.596729, 17.070134, 73.028815], [20.493702, 21.812868, 24.531404, 26.749045, 59.266530], [5.752870, 7.379065, 8.554344, 9.702047, 56.772821], [6.421838, 6.583882, 7.228151, 9.484988, 44.986024], [10.943245, 11.509643, 12.318745, 12.487601, 19.223617], [9.192921, 10.565550, 11.063012, 11.245855, 61.400081]]
### 4
mean: [0.253835, 0.369779, -0.634796, 0.881103, 0.316106, -0.646133]
std: [0.724291, 1.016077, 0.405565, 1.409364, 0.887106, 0.334501]
pca: [[-0.335188, -0.091137, 0.747371, -0.225127, 0.504514, -0.124751, 0.000000, 0.000000, 0.000000, 0.000000], [-0.473389, 0.543827, -0.230929, -0.250024, -0.131415, -0.589105, 0.000000, 0.000000, 0.000000, 0.000000], [-0.171880, -0.477796, -0.545907, -0.544942, 0.379290, 0.057712, 0.000000, 0.000000, 0.000000, 0.000000], [0.662183, 0.500906, -0.057525, -0.254426, 0.490115, -0.048507, 0.000000, 0.000000, 0.000000, 0.000000], [-0.413854, 0.464343, -0.102571, 0.014959, 0.155563, 0.760373, 0.000000, 0.000000, 0.000000, 0.000000], [-0.155718, -0.033708, -0.276158, 0.724491, 0.565617, -0.231393, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.806447, 11.256885, 11.684344, 16.244927, 22.845116], [15.936259, 16.952598, 17.925879, 20.693787, 33.280146], [6.144559, 6.589776, 7.111822, 9.067579, 57.131605], [22.016342, 22.284728, 25.388404, 29.835474, 79.299263], [13.817987, 14.795258, 15.640332, 18.318471, 28.449519], [5.506937, 5.535681, 6.115437, 6.752802, 58.151971]]
### 6
mean: [0.179517, -0.839847, 1.447528, 0.401945, -0.467246, 1.219837]
std: [0.495037, 0.189073, 1.577024, 1.114941, 0.222322, 1.204951]
pca: [[-0.210807, -0.108555, 0.750091, -0.295970, 0.540106, -0.042737, 0.000000, 0.000000, 0.000000, 0.000000], [-0.017239, 0.607598, 0.408624, -0.102331, -0.470051, 0.481803, 0.000000, 0.000000, 0.000000, 0.000000], [0.677001, -0.186993, 0.468948, 0.399479, -0.227443, -0.274731, 0.000000, 0.000000, 0.000000, 0.000000], [-0.476686, -0.367781, 0.155311, 0.677086, -0.074043, 0.386599, 0.000000, 0.000000, 0.000000, 0.000000], [0.046844, 0.646206, -0.073673, 0.528108, 0.530279, -0.121255, 0.000000, 0.000000, 0.000000, 0.000000], [0.517213, -0.176719, -0.144668, -0.070736, 0.385912, 0.725535, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.916536, 8.310944, 8.768172, 11.094689, 16.156498], [3.286276, 3.420285, 3.458956, 3.598359, 75.586237], [24.042164, 26.251104, 26.645668, 38.109120, 130.277555], [16.749706, 18.653869, 18.710253, 25.954004, 36.175056], [3.667280, 3.860877, 4.190821, 5.212415, 42.052102], [18.734415, 20.091123, 20.717204, 28.821817, 109.785337]]
### 8
mean: [-2.351493]
std: [2.345987]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[37.527417, 37.961140, 39.490998, 58.449293, 211.634348]]
## 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.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
"network.4.bias": [
0.430597,
0.539932,
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0.479842,
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],
"network.6.weight": [
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],
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0.768188,
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"network.8.weight": [
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"network.8.bias": [
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}
## Activation Signature
### 0
mean: [0.220328, -1.829113, 0.096099, -2.804510, -0.427437, -1.132312]
std: [1.304104, 1.895524, 1.895290, 1.741003, 2.274447, 1.644968]
pca: [[-0.116457, -0.463018, -0.135862, 0.719244, -0.451588, -0.179862, 0.000000, 0.000000, 0.000000, 0.000000], [0.435064, -0.060767, -0.680399, -0.391996, -0.400632, -0.172967, 0.000000, 0.000000, 0.000000, 0.000000], [0.445768, -0.143592, 0.690367, -0.185547, -0.302989, -0.421706, 0.000000, 0.000000, 0.000000, 0.000000], [0.196457, 0.845116, 0.016494, 0.380758, -0.319155, 0.008683, 0.000000, 0.000000, 0.000000, 0.000000], [0.622357, -0.216611, 0.076836, 0.200587, 0.072302, 0.717206, 0.000000, 0.000000, 0.000000, 0.000000], [0.415361, 0.012771, -0.189253, 0.330738, 0.660812, -0.495415, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.829509, 20.065395, 20.771172, 22.076871, 22.291980], [29.783696, 29.859837, 34.050843, 34.249605, 164.620161], [27.467175, 29.342917, 29.943979, 30.110761, 38.905181], [24.269808, 24.428422, 32.464146, 36.548665, 252.405923], [38.469332, 38.472704, 39.884863, 44.511628, 45.815373], [30.032455, 30.653286, 33.623832, 35.287303, 101.908099]]
### 2
mean: [0.811431, 0.658517, 0.630809, -0.499845, 0.213596, 0.682223]
std: [0.803770, 1.325054, 0.399989, 0.423143, 0.666777, 0.581063]
pca: [[0.412132, 0.477459, -0.462424, 0.088437, 0.130846, 0.602829, 0.000000, 0.000000, 0.000000, 0.000000], [0.810072, -0.022181, 0.150811, 0.220381, 0.175699, -0.491029, 0.000000, 0.000000, 0.000000, 0.000000], [0.153064, 0.158415, 0.849844, -0.185194, 0.044713, 0.439256, 0.000000, 0.000000, 0.000000, 0.000000], [-0.196050, -0.317494, 0.093516, 0.684889, 0.573585, 0.232259, 0.000000, 0.000000, 0.000000, 0.000000], [-0.228326, 0.637506, 0.179876, 0.578220, -0.356525, -0.218287, 0.000000, 0.000000, 0.000000, 0.000000], [-0.244814, 0.489111, 0.009250, -0.325427, 0.702780, -0.317724, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.939096, 13.516173, 14.596729, 17.070134, 73.028815], [20.493702, 21.812868, 24.531404, 26.749045, 59.266530], [5.752870, 7.379065, 8.554344, 9.702047, 56.772821], [6.421838, 6.583882, 7.228151, 9.484988, 44.986024], [10.943245, 11.509643, 12.318745, 12.487601, 19.223617], [9.192921, 10.565550, 11.063012, 11.245855, 61.400081]]
### 4
mean: [0.253835, 0.369779, -0.634796, 0.881103, 0.316106, -0.646133]
std: [0.724291, 1.016077, 0.405565, 1.409364, 0.887106, 0.334501]
pca: [[-0.335188, -0.091137, 0.747371, -0.225127, 0.504514, -0.124751, 0.000000, 0.000000, 0.000000, 0.000000], [-0.473389, 0.543827, -0.230929, -0.250024, -0.131415, -0.589105, 0.000000, 0.000000, 0.000000, 0.000000], [-0.171880, -0.477796, -0.545907, -0.544942, 0.379290, 0.057712, 0.000000, 0.000000, 0.000000, 0.000000], [0.662183, 0.500906, -0.057525, -0.254426, 0.490115, -0.048507, 0.000000, 0.000000, 0.000000, 0.000000], [-0.413854, 0.464343, -0.102571, 0.014959, 0.155563, 0.760373, 0.000000, 0.000000, 0.000000, 0.000000], [-0.155718, -0.033708, -0.276158, 0.724491, 0.565617, -0.231393, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.806447, 11.256885, 11.684344, 16.244927, 22.845116], [15.936259, 16.952598, 17.925879, 20.693787, 33.280146], [6.144559, 6.589776, 7.111822, 9.067579, 57.131605], [22.016342, 22.284728, 25.388404, 29.835474, 79.299263], [13.817987, 14.795258, 15.640332, 18.318471, 28.449519], [5.506937, 5.535681, 6.115437, 6.752802, 58.151971]]
### 6
mean: [0.179517, -0.839847, 1.447528, 0.401945, -0.467246, 1.219837]
std: [0.495037, 0.189073, 1.577024, 1.114941, 0.222322, 1.204951]
pca: [[-0.210807, -0.108555, 0.750091, -0.295970, 0.540106, -0.042737, 0.000000, 0.000000, 0.000000, 0.000000], [-0.017239, 0.607598, 0.408624, -0.102331, -0.470051, 0.481803, 0.000000, 0.000000, 0.000000, 0.000000], [0.677001, -0.186993, 0.468948, 0.399479, -0.227443, -0.274731, 0.000000, 0.000000, 0.000000, 0.000000], [-0.476686, -0.367781, 0.155311, 0.677086, -0.074043, 0.386599, 0.000000, 0.000000, 0.000000, 0.000000], [0.046844, 0.646206, -0.073673, 0.528108, 0.530279, -0.121255, 0.000000, 0.000000, 0.000000, 0.000000], [0.517213, -0.176719, -0.144668, -0.070736, 0.385912, 0.725535, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.916536, 8.310944, 8.768172, 11.094689, 16.156498], [3.286276, 3.420285, 3.458956, 3.598359, 75.586237], [24.042164, 26.251104, 26.645668, 38.109120, 130.277555], [16.749706, 18.653869, 18.710253, 25.954004, 36.175056], [3.667280, 3.860877, 4.190821, 5.212415, 42.052102], [18.734415, 20.091123, 20.717204, 28.821817, 109.785337]]
### 8
mean: [-2.351493]
std: [2.345987]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[37.527417, 37.961140, 39.490998, 58.449293, 211.634348]]
## 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.
ends_with
|
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"precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.535628, 0.243899, -0.322519, -0.105755, 0.19159], [-0.309807, 0.444872, 0.090427, -0.523759, -0.702744], [0.043183, 0.008569, 0.175284, 0.451126, -0.999337], [-0.124413, -0.575857, -0.389608, 0.054836, -0.354165], [-0.154965, 0.535224, -0.19464, 0.072651, -1.040189], [-0.349577, 0.513583, -0.352292, -0.056613, -0.485628]], "network.0.bias": [-0.226473, -0.453233, -0.074301, -0.467286, 0.323796, -0.176903], "network.2.weight": [[0.238386, 0.579597, 0.695068, 0.167257, 0.162936, 0.007132], [-0.349624, 0.63185, 0.704715, 0.011047, 0.597955, 0.322016], [0.094524, -0.0086, -0.074216, 0.342785, 0.302244, 0.328738], [-0.194657, -0.370971, -0.313699, 0.135641, -0.12223, 0.006018], [0.656698, -0.173363, -0.053301, 0.122877, -0.138403, 0.042916], [0.529832, -0.04087, -0.065663, 0.079119, -0.19126, -0.054897]], "network.2.bias": [-0.017946, -0.143329, 0.393334, -0.037357, -0.053331, 0.540984], "network.4.weight": [[-0.311838, -0.435013, 0.444662, -0.111558, 0.256466, 0.108197], [-0.056601, -0.559432, -0.137417, -0.135768, 0.357229, 0.450211], [-0.17517, -0.173928, -0.394326, -0.356642, 0.364234, -0.367151], [0.680801, 0.582459, 0.197571, -0.19794, -0.508443, -0.258745], [-0.091434, -0.477283, -0.078922, -0.19812, 0.370551, 0.34177], [-0.174736, -0.074736, -0.28913, 0.268775, 0.365864, -0.116953]], "network.4.bias": [0.430597, 0.539932, 0.035705, 0.063171, 0.479842, -0.298774], "network.6.weight": [[0.462588, -0.163436, 0.053368, 0.247136, -0.565604, 0.333439], [-0.000413, -0.268256, 0.084522, -0.168985, -0.184374, -0.003109], [0.768188, 0.797454, 0.097691, -0.472287, 0.537011, 0.231831], [0.023358, -0.369344, 0.395587, 0.523453, -0.572037, 0.18978], [-0.327734, -0.301021, -0.066598, -0.259221, 0.189916, 0.385469], [0.25035, 0.607038, 0.407772, -0.37439, 0.640804, -0.173811]], "network.6.bias": [0.138808, -0.399381, 0.739583, 0.432382, 0.028569, 0.723804], "network.8.weight": [[0.479106, 0.13649, -0.745239, 0.361829, 0.201149, -0.854788]], "network.8.bias": [-0.397784]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6820731461048126, "train_acc": 0.58, "val_loss": 0.6693994402885437, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6581745147705078, "train_acc": 0.565, "val_loss": 0.5944718718528748, "val_acc": 0.68}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.563522070646286, "train_acc": 0.755, "val_loss": 0.4628387689590454, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4760255515575409, "train_acc": 0.785, "val_loss": 0.4782433807849884, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.43454279005527496, "train_acc": 0.84, "val_loss": 0.41998663544654846, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3775567561388016, "train_acc": 0.845, "val_loss": 0.369869589805603, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3466956466436386, "train_acc": 0.87, "val_loss": 0.3611154854297638, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3311184495687485, "train_acc": 0.875, "val_loss": 0.3458656966686249, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.3214256167411804, "train_acc": 0.87, "val_loss": 0.34159985184669495, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.28916939347982407, "train_acc": 0.88, "val_loss": 0.3436499834060669, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.2935555577278137, "train_acc": 0.89, "val_loss": 0.33526337146759033, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.3120432049036026, "train_acc": 0.885, "val_loss": 0.34646207094192505, "val_acc": 0.84}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6693994402885437, "final_val_loss": 0.5944718718528748, "initial_val_acc": 0.48, "final_val_acc": 0.68, "best_val_acc": 0.68}, "improved_stage": {"initial_val_loss": 0.4628387689590454, "final_val_loss": 0.34646207094192505, "initial_val_acc": 0.86, "final_val_acc": 0.84, "best_val_acc": 0.88, "best_epoch": 5}, "improvement": 0.19999999999999996, "first_improvement_epoch": 1}}
|
9,478
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.44, "improved_accuracy": 0.94, "improvement": 0.49999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6214, "learning_rate": 0.04630612528170917, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "first_last_match", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["first_last_match"], "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: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
[
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[
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[
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[
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[
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0.48757
],
[
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],
"network.0.bias": [
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"network.2.weight": [
[
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[
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[
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[
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],
[
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0.017258,
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[
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],
[
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"network.2.bias": [
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"network.4.weight": [
[
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"network.6.weight": [
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"network.8.weight": [
[
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"network.10.weight": [
[
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]
],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [1.031930, 0.327904, -1.925969, -0.150156, 2.205825, 1.373408, -2.283293]
std: [1.446625, 1.855328, 1.250253, 0.866805, 2.394436, 1.750074, 1.720224]
pca: [[-0.016599, 0.475486, 0.011785, 0.621619, 0.398210, 0.465491, -0.108793, 0.000000, 0.000000, 0.000000], [0.088973, -0.018903, 0.984963, -0.005787, 0.110148, -0.094279, -0.022782, 0.000000, 0.000000, 0.000000], [-0.408928, -0.140481, 0.120693, 0.232132, -0.359307, 0.293305, 0.727641, 0.000000, 0.000000, 0.000000], [0.123477, -0.215428, 0.050567, -0.502192, 0.058146, 0.815892, -0.120542, 0.000000, 0.000000, 0.000000], [0.850805, -0.144393, -0.079340, 0.156280, 0.097911, -0.004256, 0.463635, 0.000000, 0.000000, 0.000000], [-0.088537, 0.611674, -0.021643, -0.530238, 0.344108, -0.107519, 0.454341, 0.000000, 0.000000, 0.000000], [-0.278623, -0.558943, -0.076297, 0.043579, 0.754200, -0.105567, 0.149231, 0.000000, 0.000000, 0.000000]]
fourier: [[21.815470, 23.018786, 26.561449, 30.462567, 92.873709], [26.919926, 27.567514, 28.155261, 29.511391, 38.229432], [19.478090, 20.695492, 21.772397, 22.549729, 173.337275], [13.514058, 13.672446, 14.206035, 14.646284, 16.785309], [32.737713, 38.490788, 38.957680, 40.005264, 198.524227], [31.722178, 32.440008, 32.785503, 37.365243, 123.606680], [27.444733, 28.076708, 31.216395, 35.712460, 205.496342]]
### 2
mean: [1.207337, 1.555614, -1.061387, -0.945142, 0.970886, -0.613332, 0.166701]
std: [1.622615, 1.442399, 0.845959, 0.579831, 1.087184, 0.489119, 1.036891]
pca: [[-0.515613, 0.754607, 0.033961, 0.088036, -0.115507, 0.348096, -0.145927, 0.000000, 0.000000, 0.000000], [0.558421, 0.305965, -0.510834, -0.317638, 0.264290, 0.400948, 0.045798, 0.000000, 0.000000, 0.000000], [-0.290565, -0.274361, -0.281693, 0.540148, 0.630929, 0.266631, 0.004841, 0.000000, 0.000000, 0.000000], [0.024575, -0.403437, -0.093856, 0.136325, -0.603544, 0.665351, -0.047796, 0.000000, 0.000000, 0.000000], [0.402908, 0.303034, 0.077159, 0.672589, -0.188326, -0.093458, 0.493259, 0.000000, 0.000000, 0.000000], [-0.140727, -0.073829, 0.464926, -0.325154, 0.234028, 0.354307, 0.687430, 0.000000, 0.000000, 0.000000], [0.393876, 0.040467, 0.653930, 0.151358, 0.253450, 0.264609, -0.508365, 0.000000, 0.000000, 0.000000]]
fourier: [[23.472086, 25.835353, 26.858021, 31.616066, 108.660343], [26.042610, 26.806817, 30.530097, 32.395092, 140.005215], [14.571269, 15.761771, 16.340301, 17.976210, 95.524843], [8.453993, 8.937925, 9.399159, 9.750631, 85.062796], [17.044055, 17.822331, 22.655801, 23.722401, 87.379692], [7.676746, 7.730460, 8.374729, 8.384234, 55.199843], [16.005682, 16.445300, 16.657098, 19.539420, 19.609638]]
### 4
mean: [1.685853, 0.122372, -0.837884, 0.756450, -0.153300, -1.218521, 0.705631]
std: [1.616121, 0.220103, 0.562774, 1.267416, 0.875930, 1.407048, 0.540336]
pca: [[0.620536, 0.201785, 0.320881, 0.257264, 0.208435, 0.122785, 0.588683, 0.000000, 0.000000, 0.000000], [0.018655, 0.160087, 0.492932, -0.572027, 0.390430, 0.391570, -0.313154, 0.000000, 0.000000, 0.000000], [-0.183699, -0.307899, -0.360679, 0.012130, 0.047915, 0.803311, 0.305961, 0.000000, 0.000000, 0.000000], [-0.412354, 0.739597, -0.104529, -0.253031, -0.188071, -0.000965, 0.415498, 0.000000, 0.000000, 0.000000], [-0.337668, 0.062523, -0.177711, 0.263511, 0.856665, -0.209689, 0.056633, 0.000000, 0.000000, 0.000000], [-0.522524, -0.381712, 0.656784, 0.109975, -0.121069, -0.094107, 0.338071, 0.000000, 0.000000, 0.000000], [-0.154127, 0.377143, 0.223811, 0.678894, -0.133867, 0.365325, -0.414291, 0.000000, 0.000000, 0.000000]]
fourier: [[27.480354, 29.314886, 34.919263, 35.708261, 151.726776], [3.467238, 3.725877, 3.794309, 3.935304, 11.013514], [8.807215, 9.066506, 11.561021, 12.541807, 75.409575], [18.380241, 18.384798, 24.268105, 26.176042, 68.080477], [13.797043, 15.822657, 16.356932, 18.458423, 18.624918], [23.608774, 25.858971, 30.740239, 31.572008, 109.666856], [7.845768, 7.944134, 10.655944, 10.760242, 63.506832]]
### 6
mean: [0.535814, -0.842346, 0.417848, 0.717151, -1.006300, 0.886169, -1.129965]
std: [0.736463, 1.285685, 1.455801, 1.729905, 0.703097, 0.805731, 0.340471]
pca: [[-0.253152, -0.192697, 0.710404, 0.151124, 0.156981, 0.547340, -0.216898, 0.000000, 0.000000, 0.000000], [-0.441140, 0.405161, -0.184919, 0.099661, 0.289313, 0.321817, 0.640191, 0.000000, 0.000000, 0.000000], [0.509400, -0.075182, -0.239953, -0.197267, 0.722047, 0.317966, -0.126148, 0.000000, 0.000000, 0.000000], [0.605016, -0.129093, 0.080777, 0.463800, -0.328809, 0.277590, 0.458785, 0.000000, 0.000000, 0.000000], [0.222798, 0.467040, 0.485604, 0.281616, 0.370588, -0.526427, 0.051527, 0.000000, 0.000000, 0.000000], [-0.256777, -0.524638, -0.263842, 0.651039, 0.318987, -0.248744, -0.041584, 0.000000, 0.000000, 0.000000], [0.014252, 0.532000, -0.302662, 0.458307, -0.151986, 0.282303, -0.558864, 0.000000, 0.000000, 0.000000]]
fourier: [[11.388748, 12.077258, 14.503280, 15.479675, 48.223237], [22.720476, 24.754748, 26.172929, 27.662958, 75.811101], [24.472918, 27.395172, 29.689089, 30.473094, 37.606278], [29.378930, 32.547510, 34.983317, 36.762418, 64.543626], [10.002282, 10.596245, 13.632834, 13.988951, 90.567026], [11.829072, 12.067618, 15.515084, 15.594957, 79.755168], [4.666949, 5.565146, 5.582080, 5.904109, 101.696847]]
### 8
mean: [1.237159, 0.385930, -1.411059, 0.345686, 0.386858, -0.380891, 0.610200]
std: [1.886745, 0.975108, 0.566059, 0.393998, 1.038278, 0.191156, 0.850852]
pca: [[0.741035, -0.133579, 0.184394, 0.039302, -0.538926, 0.247274, -0.214227, 0.000000, 0.000000, 0.000000], [0.382212, -0.117808, -0.358901, 0.215600, 0.122047, -0.011371, 0.806050, 0.000000, 0.000000, 0.000000], [-0.106888, 0.841603, 0.173904, 0.129361, -0.235164, 0.334709, 0.256848, 0.000000, 0.000000, 0.000000], [-0.147945, -0.179934, 0.635464, 0.554678, -0.167212, -0.408772, 0.197989, 0.000000, 0.000000, 0.000000], [0.406478, 0.148698, 0.453047, -0.011551, 0.765122, 0.124177, -0.080295, 0.000000, 0.000000, 0.000000], [-0.073001, -0.053609, -0.329178, 0.778814, 0.160820, 0.361060, -0.347361, 0.000000, 0.000000, 0.000000], [-0.317671, -0.450135, 0.299202, -0.144519, -0.011253, 0.716810, 0.268537, 0.000000, 0.000000, 0.000000]]
fourier: [[32.883199, 36.860972, 39.412267, 39.464035, 111.344349], [17.145390, 18.751828, 20.433070, 20.680811, 34.733664], [9.237650, 10.307201, 10.485932, 10.898855, 126.995313], [6.447371, 6.795216, 7.847197, 8.270459, 31.111697], [17.716935, 20.344146, 20.988457, 21.968726, 34.817207], [3.061922, 3.423602, 3.825381, 3.933902, 34.280209], [13.550328, 14.238188, 17.267414, 17.974441, 54.917978]]
### 10
mean: [-1.031423]
std: [1.968323]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.397606, 37.653819, 41.249498, 41.646144, 92.828028]]
## 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.
|
first_last_match
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.248831,
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0.103413,
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[
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[
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[
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[
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[
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],
[
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]
],
"network.0.bias": [
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-0.197666,
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-0.067657,
-0.163236,
0.260841
],
"network.2.weight": [
[
-0.04557,
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0.51313,
0.648109,
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[
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0.318359,
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-0.526608,
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0.591304,
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[
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0.093649,
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[
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[
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[
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[
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]
],
"network.2.bias": [
0.029695,
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[
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[
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[
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],
"network.6.bias": [
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"network.8.weight": [
[
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],
[
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"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [1.031930, 0.327904, -1.925969, -0.150156, 2.205825, 1.373408, -2.283293]
std: [1.446625, 1.855328, 1.250253, 0.866805, 2.394436, 1.750074, 1.720224]
pca: [[-0.016599, 0.475486, 0.011785, 0.621619, 0.398210, 0.465491, -0.108793, 0.000000, 0.000000, 0.000000], [0.088973, -0.018903, 0.984963, -0.005787, 0.110148, -0.094279, -0.022782, 0.000000, 0.000000, 0.000000], [-0.408928, -0.140481, 0.120693, 0.232132, -0.359307, 0.293305, 0.727641, 0.000000, 0.000000, 0.000000], [0.123477, -0.215428, 0.050567, -0.502192, 0.058146, 0.815892, -0.120542, 0.000000, 0.000000, 0.000000], [0.850805, -0.144393, -0.079340, 0.156280, 0.097911, -0.004256, 0.463635, 0.000000, 0.000000, 0.000000], [-0.088537, 0.611674, -0.021643, -0.530238, 0.344108, -0.107519, 0.454341, 0.000000, 0.000000, 0.000000], [-0.278623, -0.558943, -0.076297, 0.043579, 0.754200, -0.105567, 0.149231, 0.000000, 0.000000, 0.000000]]
fourier: [[21.815470, 23.018786, 26.561449, 30.462567, 92.873709], [26.919926, 27.567514, 28.155261, 29.511391, 38.229432], [19.478090, 20.695492, 21.772397, 22.549729, 173.337275], [13.514058, 13.672446, 14.206035, 14.646284, 16.785309], [32.737713, 38.490788, 38.957680, 40.005264, 198.524227], [31.722178, 32.440008, 32.785503, 37.365243, 123.606680], [27.444733, 28.076708, 31.216395, 35.712460, 205.496342]]
### 2
mean: [1.207337, 1.555614, -1.061387, -0.945142, 0.970886, -0.613332, 0.166701]
std: [1.622615, 1.442399, 0.845959, 0.579831, 1.087184, 0.489119, 1.036891]
pca: [[-0.515613, 0.754607, 0.033961, 0.088036, -0.115507, 0.348096, -0.145927, 0.000000, 0.000000, 0.000000], [0.558421, 0.305965, -0.510834, -0.317638, 0.264290, 0.400948, 0.045798, 0.000000, 0.000000, 0.000000], [-0.290565, -0.274361, -0.281693, 0.540148, 0.630929, 0.266631, 0.004841, 0.000000, 0.000000, 0.000000], [0.024575, -0.403437, -0.093856, 0.136325, -0.603544, 0.665351, -0.047796, 0.000000, 0.000000, 0.000000], [0.402908, 0.303034, 0.077159, 0.672589, -0.188326, -0.093458, 0.493259, 0.000000, 0.000000, 0.000000], [-0.140727, -0.073829, 0.464926, -0.325154, 0.234028, 0.354307, 0.687430, 0.000000, 0.000000, 0.000000], [0.393876, 0.040467, 0.653930, 0.151358, 0.253450, 0.264609, -0.508365, 0.000000, 0.000000, 0.000000]]
fourier: [[23.472086, 25.835353, 26.858021, 31.616066, 108.660343], [26.042610, 26.806817, 30.530097, 32.395092, 140.005215], [14.571269, 15.761771, 16.340301, 17.976210, 95.524843], [8.453993, 8.937925, 9.399159, 9.750631, 85.062796], [17.044055, 17.822331, 22.655801, 23.722401, 87.379692], [7.676746, 7.730460, 8.374729, 8.384234, 55.199843], [16.005682, 16.445300, 16.657098, 19.539420, 19.609638]]
### 4
mean: [1.685853, 0.122372, -0.837884, 0.756450, -0.153300, -1.218521, 0.705631]
std: [1.616121, 0.220103, 0.562774, 1.267416, 0.875930, 1.407048, 0.540336]
pca: [[0.620536, 0.201785, 0.320881, 0.257264, 0.208435, 0.122785, 0.588683, 0.000000, 0.000000, 0.000000], [0.018655, 0.160087, 0.492932, -0.572027, 0.390430, 0.391570, -0.313154, 0.000000, 0.000000, 0.000000], [-0.183699, -0.307899, -0.360679, 0.012130, 0.047915, 0.803311, 0.305961, 0.000000, 0.000000, 0.000000], [-0.412354, 0.739597, -0.104529, -0.253031, -0.188071, -0.000965, 0.415498, 0.000000, 0.000000, 0.000000], [-0.337668, 0.062523, -0.177711, 0.263511, 0.856665, -0.209689, 0.056633, 0.000000, 0.000000, 0.000000], [-0.522524, -0.381712, 0.656784, 0.109975, -0.121069, -0.094107, 0.338071, 0.000000, 0.000000, 0.000000], [-0.154127, 0.377143, 0.223811, 0.678894, -0.133867, 0.365325, -0.414291, 0.000000, 0.000000, 0.000000]]
fourier: [[27.480354, 29.314886, 34.919263, 35.708261, 151.726776], [3.467238, 3.725877, 3.794309, 3.935304, 11.013514], [8.807215, 9.066506, 11.561021, 12.541807, 75.409575], [18.380241, 18.384798, 24.268105, 26.176042, 68.080477], [13.797043, 15.822657, 16.356932, 18.458423, 18.624918], [23.608774, 25.858971, 30.740239, 31.572008, 109.666856], [7.845768, 7.944134, 10.655944, 10.760242, 63.506832]]
### 6
mean: [0.535814, -0.842346, 0.417848, 0.717151, -1.006300, 0.886169, -1.129965]
std: [0.736463, 1.285685, 1.455801, 1.729905, 0.703097, 0.805731, 0.340471]
pca: [[-0.253152, -0.192697, 0.710404, 0.151124, 0.156981, 0.547340, -0.216898, 0.000000, 0.000000, 0.000000], [-0.441140, 0.405161, -0.184919, 0.099661, 0.289313, 0.321817, 0.640191, 0.000000, 0.000000, 0.000000], [0.509400, -0.075182, -0.239953, -0.197267, 0.722047, 0.317966, -0.126148, 0.000000, 0.000000, 0.000000], [0.605016, -0.129093, 0.080777, 0.463800, -0.328809, 0.277590, 0.458785, 0.000000, 0.000000, 0.000000], [0.222798, 0.467040, 0.485604, 0.281616, 0.370588, -0.526427, 0.051527, 0.000000, 0.000000, 0.000000], [-0.256777, -0.524638, -0.263842, 0.651039, 0.318987, -0.248744, -0.041584, 0.000000, 0.000000, 0.000000], [0.014252, 0.532000, -0.302662, 0.458307, -0.151986, 0.282303, -0.558864, 0.000000, 0.000000, 0.000000]]
fourier: [[11.388748, 12.077258, 14.503280, 15.479675, 48.223237], [22.720476, 24.754748, 26.172929, 27.662958, 75.811101], [24.472918, 27.395172, 29.689089, 30.473094, 37.606278], [29.378930, 32.547510, 34.983317, 36.762418, 64.543626], [10.002282, 10.596245, 13.632834, 13.988951, 90.567026], [11.829072, 12.067618, 15.515084, 15.594957, 79.755168], [4.666949, 5.565146, 5.582080, 5.904109, 101.696847]]
### 8
mean: [1.237159, 0.385930, -1.411059, 0.345686, 0.386858, -0.380891, 0.610200]
std: [1.886745, 0.975108, 0.566059, 0.393998, 1.038278, 0.191156, 0.850852]
pca: [[0.741035, -0.133579, 0.184394, 0.039302, -0.538926, 0.247274, -0.214227, 0.000000, 0.000000, 0.000000], [0.382212, -0.117808, -0.358901, 0.215600, 0.122047, -0.011371, 0.806050, 0.000000, 0.000000, 0.000000], [-0.106888, 0.841603, 0.173904, 0.129361, -0.235164, 0.334709, 0.256848, 0.000000, 0.000000, 0.000000], [-0.147945, -0.179934, 0.635464, 0.554678, -0.167212, -0.408772, 0.197989, 0.000000, 0.000000, 0.000000], [0.406478, 0.148698, 0.453047, -0.011551, 0.765122, 0.124177, -0.080295, 0.000000, 0.000000, 0.000000], [-0.073001, -0.053609, -0.329178, 0.778814, 0.160820, 0.361060, -0.347361, 0.000000, 0.000000, 0.000000], [-0.317671, -0.450135, 0.299202, -0.144519, -0.011253, 0.716810, 0.268537, 0.000000, 0.000000, 0.000000]]
fourier: [[32.883199, 36.860972, 39.412267, 39.464035, 111.344349], [17.145390, 18.751828, 20.433070, 20.680811, 34.733664], [9.237650, 10.307201, 10.485932, 10.898855, 126.995313], [6.447371, 6.795216, 7.847197, 8.270459, 31.111697], [17.716935, 20.344146, 20.988457, 21.968726, 34.817207], [3.061922, 3.423602, 3.825381, 3.933902, 34.280209], [13.550328, 14.238188, 17.267414, 17.974441, 54.917978]]
### 10
mean: [-1.031423]
std: [1.968323]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.397606, 37.653819, 41.249498, 41.646144, 92.828028]]
## 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.
first_last_match
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.291842, 0.248831, -0.281076, 0.103413, 0.599317], [-0.672538, -0.285494, 0.329967, 0.027996, 0.631641], [0.128556, -0.396187, -0.39464, -0.205436, 0.079914], [-0.265813, -0.024056, 0.330893, -0.054868, -0.285246], [-0.633442, 0.593627, 0.52859, 0.627984, -0.381728], [0.503797, 0.081099, 0.241468, -0.160331, 0.48757], [-0.29729, -0.041036, -0.340414, -0.425865, -0.385187]], "network.0.bias": [-0.158461, 0.156749, -0.197666, 0.002733, -0.067657, -0.163236, 0.260841], "network.2.weight": [[-0.04557, -0.283162, -0.35357, 0.51313, 0.648109, -0.144417, -0.140982], [0.244894, 0.318359, -0.071698, -0.526608, -0.005795, 0.591304, -0.265539], [-0.144568, -0.467253, 0.093649, -0.101598, -0.014855, -0.222235, 0.25261], [-0.012911, -0.148834, -0.237485, 0.016672, -0.268003, -0.102222, -0.254422], [0.625668, 0.341334, 0.376235, -0.400636, 0.017258, 0.02052, 0.053736], [-0.213839, 0.14596, 0.224287, 0.213973, -0.010721, -0.134068, -0.306065], [0.352914, 0.648032, 0.393218, -0.296631, -0.159306, -0.0592, -0.319761]], "network.2.bias": [0.029695, 0.290253, -0.105115, -0.003598, -0.018553, -0.319867, -0.251621], "network.4.weight": [[-0.242313, 0.437141, 0.115815, -0.018441, 0.53073, 0.134806, 0.395113], [0.123297, 0.054447, -0.032631, -0.000763, -0.152714, -0.148219, 0.355758], [-0.093033, -0.130446, 0.297662, -0.286645, -0.228653, -0.03834, -0.246094], [0.721199, -0.167985, 0.384342, 0.032283, 0.014279, -0.216953, -0.237289], [0.222733, -0.291273, -0.103525, -0.148234, -0.055556, -0.055341, -0.314451], [0.064589, -0.647266, 0.162444, 0.036071, -0.449798, 0.209179, 0.028825], [0.300244, -0.252802, -0.273728, -0.328168, 0.340363, 0.219393, -0.14666]], "network.4.bias": [0.640222, -0.135389, -0.177218, 0.134341, 0.191588, 0.126511, 0.423404], "network.6.weight": [[-0.110609, -0.460225, -0.116092, 0.403433, -0.12528, -0.305913, 0.454679], [-0.605324, -0.055159, -0.073828, 0.325014, 0.176181, 0.187619, 0.028634], [0.491332, 0.341339, -0.071053, -0.659792, -0.018371, 0.210545, -0.216545], [0.651402, -0.033304, 0.185933, -0.621839, -0.015398, -0.205477, -0.372196], [0.009537, -0.13943, -0.092136, -0.373527, -0.340105, 0.061262, -0.322212], [0.042813, -0.389444, 0.012053, 0.508005, 0.435039, 0.20263, 0.316728], [-0.228941, 0.027191, -0.107018, -0.218285, 0.178471, 0.108056, -0.453289]], "network.6.bias": [0.138383, -0.172854, 0.291597, 0.459163, -0.336915, 0.059542, -0.268956], "network.8.weight": [[-0.429273, 0.174543, 0.709655, 0.690736, 0.312956, -0.252111, 0.207921], [-0.186886, -0.134872, 0.401082, 0.378166, -0.218176, 0.003758, -0.060582], [-0.274391, -0.377779, -0.353007, -0.322046, -0.06266, -0.358315, -0.292277], [-0.283654, 0.337157, 0.051917, -0.247033, -0.15788, 0.325033, 0.078571], [-0.332535, 0.130873, -0.034791, 0.595517, 0.035664, -0.283708, -0.374992], [-0.234444, -0.229409, 0.172849, -0.228089, 0.027722, 0.379946, -0.366923], [0.287217, 0.399139, -0.125552, -0.210631, -0.359694, 0.2975, 0.250941]], "network.8.bias": [0.324851, -0.239434, -0.201934, 0.408849, 0.178954, -0.420884, 0.442492], "network.10.weight": [[-0.685913, -0.321626, 0.289561, 0.170988, -0.355801, 0.121711, 0.435859]], "network.10.bias": [0.022573]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6844052374362946, "train_acc": 0.57, "val_loss": 0.6758605241775513, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6529710292816162, "train_acc": 0.57, "val_loss": 0.6239435076713562, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5959582924842834, "train_acc": 0.61, "val_loss": 0.3748326897621155, "val_acc": 0.92}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.49104659259319305, "train_acc": 0.77, "val_loss": 0.3030914068222046, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.486542284488678, "train_acc": 0.775, "val_loss": 0.23935577273368835, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.4406919330358505, "train_acc": 0.775, "val_loss": 0.31577545404434204, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.4403696209192276, "train_acc": 0.805, "val_loss": 0.3371846675872803, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.4241497367620468, "train_acc": 0.81, "val_loss": 0.32847511768341064, "val_acc": 0.94}], "summary": {"total_epochs": 8, "degraded_epochs": 2, "improved_epochs": 6, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.6758605241775513, "final_val_loss": 0.6239435076713562, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.3748326897621155, "final_val_loss": 0.32847511768341064, "initial_val_acc": 0.92, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 4}, "improvement": 0.49999999999999994, "first_improvement_epoch": 1}}
|
9,479
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.44, "improved_accuracy": 0.9, "improvement": 0.46, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5780, "learning_rate": 0.06634789276618842, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "first_last_match", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["first_last_match"], "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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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],
[
-0.647888,
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0.279047,
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],
[
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]
],
"network.0.bias": [
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"network.2.weight": [
[
0.265401,
1.131533,
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],
[
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6.5e-05,
0.02503,
-0.075756,
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],
[
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[
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],
[
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],
[
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]
],
"network.2.bias": [
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"network.4.weight": [
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[
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[
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[
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[
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[
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"network.4.bias": [
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"network.6.weight": [
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[
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[
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"network.6.bias": [
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"network.8.weight": [
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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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[
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[
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[
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[
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],
"network.10.bias": [
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"network.12.weight": [
[
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],
"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [-1.136775, 0.486599, 1.507441, -1.267109, 0.733720, -0.343057]
std: [2.012007, 2.656648, 2.489857, 0.617251, 2.734118, 2.239418]
pca: [[0.376874, 0.209230, -0.373305, 0.694450, 0.184836, 0.398005, 0.000000, 0.000000, 0.000000, 0.000000], [-0.361000, 0.795349, 0.166169, -0.206658, 0.246220, 0.325815, 0.000000, 0.000000, 0.000000, 0.000000], [-0.492837, -0.194483, 0.559706, 0.624185, 0.117947, -0.049989, 0.000000, 0.000000, 0.000000, 0.000000], [0.028234, 0.003367, -0.169859, -0.023561, 0.828921, -0.531670, 0.000000, 0.000000, 0.000000, 0.000000], [0.575994, -0.152113, 0.634841, -0.195166, 0.313851, 0.324774, 0.000000, 0.000000, 0.000000, 0.000000], [-0.390117, -0.512514, -0.296453, -0.216288, 0.325095, 0.587185, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.350291, 34.718681, 38.072019, 38.580421, 102.309799], [35.809457, 41.230690, 43.793924, 45.421122, 51.003120], [38.988307, 43.852465, 47.610873, 48.935266, 135.669654], [8.672378, 8.942821, 10.949036, 11.779621, 114.039808], [44.012072, 45.824643, 46.197934, 53.513991, 66.034793], [34.662124, 35.220877, 35.886955, 37.568482, 46.382654]]
### 2
mean: [1.966393, -0.815753, 1.356421, -0.845062, -1.136338, -1.555734]
std: [2.464287, 0.523021, 3.179103, 1.608645, 0.531212, 0.949582]
pca: [[0.547369, 0.660707, 0.289820, 0.325926, 0.018893, 0.270689, 0.000000, 0.000000, 0.000000, 0.000000], [-0.036945, 0.066580, 0.531437, -0.187565, 0.669629, -0.477696, 0.000000, 0.000000, 0.000000, 0.000000], [0.748531, -0.315104, 0.055331, -0.474798, -0.257030, -0.214129, 0.000000, 0.000000, 0.000000, 0.000000], [-0.354908, 0.264351, 0.536596, -0.244093, -0.655948, -0.162401, 0.000000, 0.000000, 0.000000, 0.000000], [-0.084665, -0.179775, 0.316574, -0.442547, 0.201460, 0.789848, 0.000000, 0.000000, 0.000000, 0.000000], [0.074799, -0.597948, 0.492303, 0.614597, -0.119677, 0.049483, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.733849, 37.100564, 44.932648, 55.048231, 176.975365], [7.603133, 8.628449, 9.484982, 11.002567, 73.417760], [51.964909, 56.192710, 64.721524, 69.283759, 122.077860], [25.280306, 31.510537, 33.092365, 35.484824, 76.055550], [7.621972, 8.038120, 10.394813, 11.006923, 102.270410], [16.242765, 16.728815, 17.596440, 17.686436, 140.016045]]
### 4
mean: [2.182050, 3.725175, 2.342809, -0.972006, -1.119463, -0.318178]
std: [3.136113, 4.931296, 3.548219, 0.631319, 2.164467, 1.298580]
pca: [[0.429289, -0.126010, -0.005753, 0.530160, -0.335037, 0.637558, 0.000000, 0.000000, 0.000000, 0.000000], [0.674719, 0.435928, -0.318457, 0.157127, 0.049741, -0.475545, 0.000000, 0.000000, 0.000000, 0.000000], [0.485288, -0.416912, 0.263787, -0.216693, 0.676413, 0.128866, 0.000000, 0.000000, 0.000000, 0.000000], [-0.082569, 0.363103, 0.790541, 0.438020, 0.144382, -0.153867, 0.000000, 0.000000, 0.000000, 0.000000], [-0.295740, -0.336614, -0.365947, 0.673683, 0.404799, -0.218178, 0.000000, 0.000000, 0.000000, 0.000000], [-0.175161, 0.612470, -0.264756, -0.039689, 0.492985, 0.528672, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[46.517101, 51.963089, 62.594354, 71.058175, 196.384551], [73.088506, 79.906349, 96.580853, 112.131630, 335.265774], [52.748326, 59.547192, 71.662328, 80.078272, 210.852825], [10.720064, 10.758998, 12.772464, 13.825838, 87.480547], [32.679340, 34.732765, 42.196799, 49.017582, 100.751652], [19.249622, 22.830878, 27.459776, 28.600563, 28.636009]]
### 6
mean: [4.737967, -2.150600, 5.620520, -1.473351, -1.928906, -1.592351]
std: [7.360059, 3.115933, 8.621889, 1.482422, 2.916825, 2.787508]
pca: [[0.587993, -0.062970, 0.144122, 0.561437, 0.552930, -0.092648, 0.000000, 0.000000, 0.000000, 0.000000], [-0.248882, 0.565980, 0.662499, -0.155400, 0.265637, -0.290011, 0.000000, 0.000000, 0.000000, 0.000000], [0.688800, 0.183479, 0.281349, -0.432019, -0.282117, 0.382757, 0.000000, 0.000000, 0.000000, 0.000000], [-0.118352, 0.592221, -0.100252, 0.583911, -0.299559, 0.441054, 0.000000, 0.000000, 0.000000, 0.000000], [-0.233024, -0.006181, -0.096434, -0.247191, 0.637896, 0.684359, 0.000000, 0.000000, 0.000000, 0.000000], [-0.222642, -0.539697, 0.664692, 0.268223, -0.217870, 0.312940, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[108.796685, 122.371751, 148.084174, 166.216856, 426.417060], [46.282074, 51.369619, 62.640810, 70.267284, 193.554000], [127.392025, 143.513513, 173.711808, 194.719105, 505.846806], [21.956653, 24.186163, 29.295108, 33.639191, 132.601573], [43.133865, 48.543441, 58.676290, 65.879521, 173.601559], [41.246012, 46.681398, 57.082216, 62.595350, 143.311588]]
### 8
mean: [5.800629, -1.067446, 7.314731, 4.977253, -1.563472, 5.830233]
std: [8.661530, 1.584314, 10.516212, 7.294419, 1.688132, 8.598532]
pca: [[0.485638, -0.251930, -0.410473, 0.618295, -0.304990, -0.238518, 0.000000, 0.000000, 0.000000, 0.000000], [-0.088613, 0.754198, -0.299747, 0.199517, 0.360345, -0.404758, 0.000000, 0.000000, 0.000000, 0.000000], [0.589625, 0.364507, 0.628791, 0.233177, 0.063836, 0.256227, 0.000000, 0.000000, 0.000000, 0.000000], [0.408979, -0.370675, 0.101521, -0.322552, 0.566070, -0.510446, 0.000000, 0.000000, 0.000000, 0.000000], [-0.094633, -0.224418, -0.213868, 0.382590, 0.670667, 0.546601, 0.000000, 0.000000, 0.000000, 0.000000], [0.482107, 0.216999, -0.538739, -0.522606, -0.053177, 0.392811, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[127.512030, 143.353647, 171.286943, 196.843548, 522.056587], [23.482748, 26.594693, 32.939963, 35.364605, 96.070182], [154.460743, 173.878475, 206.409705, 239.564230, 658.325803], [107.396151, 120.893576, 144.631461, 165.668532, 447.952809], [24.726625, 27.849230, 32.740780, 38.590152, 140.712479], [126.465201, 142.081323, 168.921869, 195.790125, 524.720925]]
### 10
mean: [-8.115301, -2.504873, 10.714838, -2.355839, -2.748553, 2.676020]
std: [11.345346, 3.526975, 15.853109, 2.983403, 3.622691, 2.723686]
pca: [[-0.552334, 0.737535, -0.102375, 0.161961, 0.026491, 0.336981, 0.000000, 0.000000, 0.000000, 0.000000], [-0.171705, -0.391120, -0.183649, -0.474846, 0.119206, 0.737650, 0.000000, 0.000000, 0.000000, 0.000000], [0.771792, 0.338993, -0.396852, 0.128289, 0.027939, 0.338661, 0.000000, 0.000000, 0.000000, 0.000000], [-0.145243, -0.184941, -0.434527, 0.303130, 0.796160, -0.173580, 0.000000, 0.000000, 0.000000, 0.000000], [-0.176365, -0.376432, -0.357677, 0.633809, -0.520726, 0.162456, 0.000000, 0.000000, 0.000000, 0.000000], [0.132597, -0.110667, 0.693941, 0.488088, 0.281570, 0.413647, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[166.986091, 187.339771, 222.817780, 258.350823, 730.377173], [51.858959, 58.117398, 68.830589, 80.450529, 225.438602], [233.387145, 261.355556, 310.398741, 361.246623, 964.335516], [43.826091, 49.224126, 58.312089, 68.032477, 212.025513], [53.236976, 59.717796, 70.701805, 82.637601, 247.369754], [39.966117, 45.051608, 53.419205, 62.072063, 240.841824]]
### 12
mean: [-4.033144]
std: [7.316453]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[107.769863, 120.080890, 141.954289, 167.070075, 362.982982]]
## 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.
|
first_last_match
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.313028,
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[
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[
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0.888998
],
[
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],
[
-0.647888,
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0.279047,
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],
[
0.880891,
0.023079,
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-0.583191,
0.314486
]
],
"network.0.bias": [
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0.136453,
0.085007,
-0.329883,
0.344484,
-0.183764
],
"network.2.weight": [
[
0.265401,
1.131533,
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0.000326,
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0.175992
],
[
-0.349388,
-0.037524,
6.5e-05,
0.02503,
-0.075756,
-0.407391
],
[
-0.679056,
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0.567048,
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[
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[
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],
[
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]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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[
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[
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[
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[
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[
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],
"network.4.bias": [
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"network.6.weight": [
[
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[
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[
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[
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[
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"network.6.bias": [
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0.016172,
0.142143
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"network.8.weight": [
[
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[
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0.105119,
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[
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0.308054,
0.297037,
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[
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[
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0.039723,
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[
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0.211625
]
],
"network.8.bias": [
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-0.310598,
-0.26142
],
"network.10.weight": [
[
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0.337765,
-0.61436,
-0.624458,
0.402518,
-0.227249
],
[
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0.018545,
-0.177293,
-0.377013,
-0.311783
],
[
0.551342,
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0.398609,
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],
[
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[
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[
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],
"network.10.bias": [
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],
"network.12.weight": [
[
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0.20528,
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0.537342
]
],
"network.12.bias": [
0.615173
]
}
## Activation Signature
### 0
mean: [-1.136775, 0.486599, 1.507441, -1.267109, 0.733720, -0.343057]
std: [2.012007, 2.656648, 2.489857, 0.617251, 2.734118, 2.239418]
pca: [[0.376874, 0.209230, -0.373305, 0.694450, 0.184836, 0.398005, 0.000000, 0.000000, 0.000000, 0.000000], [-0.361000, 0.795349, 0.166169, -0.206658, 0.246220, 0.325815, 0.000000, 0.000000, 0.000000, 0.000000], [-0.492837, -0.194483, 0.559706, 0.624185, 0.117947, -0.049989, 0.000000, 0.000000, 0.000000, 0.000000], [0.028234, 0.003367, -0.169859, -0.023561, 0.828921, -0.531670, 0.000000, 0.000000, 0.000000, 0.000000], [0.575994, -0.152113, 0.634841, -0.195166, 0.313851, 0.324774, 0.000000, 0.000000, 0.000000, 0.000000], [-0.390117, -0.512514, -0.296453, -0.216288, 0.325095, 0.587185, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.350291, 34.718681, 38.072019, 38.580421, 102.309799], [35.809457, 41.230690, 43.793924, 45.421122, 51.003120], [38.988307, 43.852465, 47.610873, 48.935266, 135.669654], [8.672378, 8.942821, 10.949036, 11.779621, 114.039808], [44.012072, 45.824643, 46.197934, 53.513991, 66.034793], [34.662124, 35.220877, 35.886955, 37.568482, 46.382654]]
### 2
mean: [1.966393, -0.815753, 1.356421, -0.845062, -1.136338, -1.555734]
std: [2.464287, 0.523021, 3.179103, 1.608645, 0.531212, 0.949582]
pca: [[0.547369, 0.660707, 0.289820, 0.325926, 0.018893, 0.270689, 0.000000, 0.000000, 0.000000, 0.000000], [-0.036945, 0.066580, 0.531437, -0.187565, 0.669629, -0.477696, 0.000000, 0.000000, 0.000000, 0.000000], [0.748531, -0.315104, 0.055331, -0.474798, -0.257030, -0.214129, 0.000000, 0.000000, 0.000000, 0.000000], [-0.354908, 0.264351, 0.536596, -0.244093, -0.655948, -0.162401, 0.000000, 0.000000, 0.000000, 0.000000], [-0.084665, -0.179775, 0.316574, -0.442547, 0.201460, 0.789848, 0.000000, 0.000000, 0.000000, 0.000000], [0.074799, -0.597948, 0.492303, 0.614597, -0.119677, 0.049483, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.733849, 37.100564, 44.932648, 55.048231, 176.975365], [7.603133, 8.628449, 9.484982, 11.002567, 73.417760], [51.964909, 56.192710, 64.721524, 69.283759, 122.077860], [25.280306, 31.510537, 33.092365, 35.484824, 76.055550], [7.621972, 8.038120, 10.394813, 11.006923, 102.270410], [16.242765, 16.728815, 17.596440, 17.686436, 140.016045]]
### 4
mean: [2.182050, 3.725175, 2.342809, -0.972006, -1.119463, -0.318178]
std: [3.136113, 4.931296, 3.548219, 0.631319, 2.164467, 1.298580]
pca: [[0.429289, -0.126010, -0.005753, 0.530160, -0.335037, 0.637558, 0.000000, 0.000000, 0.000000, 0.000000], [0.674719, 0.435928, -0.318457, 0.157127, 0.049741, -0.475545, 0.000000, 0.000000, 0.000000, 0.000000], [0.485288, -0.416912, 0.263787, -0.216693, 0.676413, 0.128866, 0.000000, 0.000000, 0.000000, 0.000000], [-0.082569, 0.363103, 0.790541, 0.438020, 0.144382, -0.153867, 0.000000, 0.000000, 0.000000, 0.000000], [-0.295740, -0.336614, -0.365947, 0.673683, 0.404799, -0.218178, 0.000000, 0.000000, 0.000000, 0.000000], [-0.175161, 0.612470, -0.264756, -0.039689, 0.492985, 0.528672, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[46.517101, 51.963089, 62.594354, 71.058175, 196.384551], [73.088506, 79.906349, 96.580853, 112.131630, 335.265774], [52.748326, 59.547192, 71.662328, 80.078272, 210.852825], [10.720064, 10.758998, 12.772464, 13.825838, 87.480547], [32.679340, 34.732765, 42.196799, 49.017582, 100.751652], [19.249622, 22.830878, 27.459776, 28.600563, 28.636009]]
### 6
mean: [4.737967, -2.150600, 5.620520, -1.473351, -1.928906, -1.592351]
std: [7.360059, 3.115933, 8.621889, 1.482422, 2.916825, 2.787508]
pca: [[0.587993, -0.062970, 0.144122, 0.561437, 0.552930, -0.092648, 0.000000, 0.000000, 0.000000, 0.000000], [-0.248882, 0.565980, 0.662499, -0.155400, 0.265637, -0.290011, 0.000000, 0.000000, 0.000000, 0.000000], [0.688800, 0.183479, 0.281349, -0.432019, -0.282117, 0.382757, 0.000000, 0.000000, 0.000000, 0.000000], [-0.118352, 0.592221, -0.100252, 0.583911, -0.299559, 0.441054, 0.000000, 0.000000, 0.000000, 0.000000], [-0.233024, -0.006181, -0.096434, -0.247191, 0.637896, 0.684359, 0.000000, 0.000000, 0.000000, 0.000000], [-0.222642, -0.539697, 0.664692, 0.268223, -0.217870, 0.312940, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[108.796685, 122.371751, 148.084174, 166.216856, 426.417060], [46.282074, 51.369619, 62.640810, 70.267284, 193.554000], [127.392025, 143.513513, 173.711808, 194.719105, 505.846806], [21.956653, 24.186163, 29.295108, 33.639191, 132.601573], [43.133865, 48.543441, 58.676290, 65.879521, 173.601559], [41.246012, 46.681398, 57.082216, 62.595350, 143.311588]]
### 8
mean: [5.800629, -1.067446, 7.314731, 4.977253, -1.563472, 5.830233]
std: [8.661530, 1.584314, 10.516212, 7.294419, 1.688132, 8.598532]
pca: [[0.485638, -0.251930, -0.410473, 0.618295, -0.304990, -0.238518, 0.000000, 0.000000, 0.000000, 0.000000], [-0.088613, 0.754198, -0.299747, 0.199517, 0.360345, -0.404758, 0.000000, 0.000000, 0.000000, 0.000000], [0.589625, 0.364507, 0.628791, 0.233177, 0.063836, 0.256227, 0.000000, 0.000000, 0.000000, 0.000000], [0.408979, -0.370675, 0.101521, -0.322552, 0.566070, -0.510446, 0.000000, 0.000000, 0.000000, 0.000000], [-0.094633, -0.224418, -0.213868, 0.382590, 0.670667, 0.546601, 0.000000, 0.000000, 0.000000, 0.000000], [0.482107, 0.216999, -0.538739, -0.522606, -0.053177, 0.392811, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[127.512030, 143.353647, 171.286943, 196.843548, 522.056587], [23.482748, 26.594693, 32.939963, 35.364605, 96.070182], [154.460743, 173.878475, 206.409705, 239.564230, 658.325803], [107.396151, 120.893576, 144.631461, 165.668532, 447.952809], [24.726625, 27.849230, 32.740780, 38.590152, 140.712479], [126.465201, 142.081323, 168.921869, 195.790125, 524.720925]]
### 10
mean: [-8.115301, -2.504873, 10.714838, -2.355839, -2.748553, 2.676020]
std: [11.345346, 3.526975, 15.853109, 2.983403, 3.622691, 2.723686]
pca: [[-0.552334, 0.737535, -0.102375, 0.161961, 0.026491, 0.336981, 0.000000, 0.000000, 0.000000, 0.000000], [-0.171705, -0.391120, -0.183649, -0.474846, 0.119206, 0.737650, 0.000000, 0.000000, 0.000000, 0.000000], [0.771792, 0.338993, -0.396852, 0.128289, 0.027939, 0.338661, 0.000000, 0.000000, 0.000000, 0.000000], [-0.145243, -0.184941, -0.434527, 0.303130, 0.796160, -0.173580, 0.000000, 0.000000, 0.000000, 0.000000], [-0.176365, -0.376432, -0.357677, 0.633809, -0.520726, 0.162456, 0.000000, 0.000000, 0.000000, 0.000000], [0.132597, -0.110667, 0.693941, 0.488088, 0.281570, 0.413647, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[166.986091, 187.339771, 222.817780, 258.350823, 730.377173], [51.858959, 58.117398, 68.830589, 80.450529, 225.438602], [233.387145, 261.355556, 310.398741, 361.246623, 964.335516], [43.826091, 49.224126, 58.312089, 68.032477, 212.025513], [53.236976, 59.717796, 70.701805, 82.637601, 247.369754], [39.966117, 45.051608, 53.419205, 62.072063, 240.841824]]
### 12
mean: [-4.033144]
std: [7.316453]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[107.769863, 120.080890, 141.954289, 167.070075, 362.982982]]
## 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.
first_last_match
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.313028, -0.515336, -0.068166, 0.440271, -0.742477], [-0.55826, -0.189274, -0.083231, -0.066688, 1.383761], [0.819339, 0.169972, -0.593299, 0.110047, 0.888998], [-0.076372, 0.01799, -0.189773, -0.195258, -0.048512], [-0.647888, 0.835301, 0.141388, 0.279047, -0.989474], [0.880891, 0.023079, -0.208156, -0.583191, 0.314486]], "network.0.bias": [0.305801, 0.136453, 0.085007, -0.329883, 0.344484, -0.183764], "network.2.weight": [[0.265401, 1.131533, 0.152079, 0.000326, 0.057202, 0.175992], [-0.349388, -0.037524, 6.5e-05, 0.02503, -0.075756, -0.407391], [-0.679056, 0.714592, 0.567048, -0.074233, -0.494624, 0.221669], [0.617538, -0.420741, -0.038976, -0.16859, 0.081395, -0.672843], [-0.326977, -0.297188, 0.102814, 0.079312, -0.147921, -0.38737], [-0.517316, -0.096979, -0.14656, -0.466771, -0.556382, 0.038636]], "network.2.bias": [0.050388, -0.268216, 0.223304, -0.084792, -0.380959, -0.254289], "network.4.weight": [[0.501651, 0.177052, 0.726963, -0.249683, -0.029694, -0.015429], [0.981164, -0.162942, 0.983847, -0.065939, -0.03302, -0.349169], [0.496377, -0.226474, 0.874958, -0.488477, -0.171438, -0.006008], [0.095556, -0.237624, -0.333612, -0.232356, 0.012214, 0.231595], [-0.528062, -0.257276, -0.329013, 0.228629, 0.021488, 0.016786], [-0.03353, -0.384727, -0.437851, 0.387549, -0.533707, -0.004805]], "network.4.bias": [-0.173868, -0.115792, -0.241304, -0.457182, 0.513972, 0.52183], "network.6.weight": [[0.505045, 0.674065, 0.647553, -0.333925, -0.341886, -0.736165], [-0.233256, -0.528099, 0.093088, -0.459401, 0.17929, 0.351277], [0.85015, 0.594553, 0.807709, 0.429451, -0.812636, -0.581105], [0.124901, -0.291656, -0.120029, -0.13697, 0.035487, 0.052827], [-0.576075, -0.172147, -0.056752, 0.039684, 0.173868, 0.233273], [-0.357839, -0.153675, -0.225939, 0.084892, 0.679617, 0.171609]], "network.6.bias": [-0.166169, -0.050279, -0.111911, -0.393757, 0.016172, 0.142143], "network.8.weight": [[0.676963, -0.344484, 0.448521, 0.126557, 0.154764, -0.298666], [0.013126, 0.347137, -0.187694, -0.061468, 0.105119, 0.479527], [0.418678, 0.498314, 0.898513, 0.308054, 0.297037, -0.073055], [0.241139, -0.243788, 0.656226, -0.188251, 0.052033, -0.315364], [0.064968, -0.247795, -0.259622, -0.362641, 0.039723, -0.131808], [0.469211, 0.023046, 0.625897, -0.20368, -0.313679, 0.211625]], "network.8.bias": [-0.188954, -0.158827, -0.154784, -0.045222, -0.310598, -0.26142], "network.10.weight": [[0.182553, 0.337765, -0.61436, -0.624458, 0.402518, -0.227249], [0.024676, -0.131185, 0.018545, -0.177293, -0.377013, -0.311783], [0.551342, -0.443657, 0.365987, 0.229308, 0.398609, 0.660248], [-0.184208, -0.21341, -0.378263, 0.110673, -0.308193, 0.205284], [-0.101601, -0.220229, -0.22959, 0.013708, 0.300054, -0.053354], [-0.12661, 0.288944, 0.340775, 0.246781, 0.037742, -0.180494]], "network.10.bias": [-0.186183, -0.02881, -0.322998, -0.243066, -0.193463, 0.725565], "network.12.weight": [[0.123374, -0.20011, -0.558369, 0.20528, 0.137112, 0.537342]], "network.12.bias": [0.615173]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6863706409931183, "train_acc": 0.58, "val_loss": 0.7307941913604736, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6830481588840485, "train_acc": 0.58, "val_loss": 0.7112464904785156, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.671724408864975, "train_acc": 0.58, "val_loss": 0.6810581684112549, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6149150431156158, "train_acc": 0.515, "val_loss": 0.8036015033721924, "val_acc": 0.44}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5858566761016846, "train_acc": 0.605, "val_loss": 0.5190051794052124, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5374114513397217, "train_acc": 0.77, "val_loss": 0.4812307059764862, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5050958544015884, "train_acc": 0.77, "val_loss": 0.42636314034461975, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.4371279627084732, "train_acc": 0.8, "val_loss": 0.45356833934783936, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.42640310525894165, "train_acc": 0.78, "val_loss": 0.498045414686203, "val_acc": 0.78}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.4328151047229767, "train_acc": 0.77, "val_loss": 0.36582088470458984, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.40953540802001953, "train_acc": 0.81, "val_loss": 0.34115922451019287, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.3973098397254944, "train_acc": 0.825, "val_loss": 0.33485230803489685, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.3939606696367264, "train_acc": 0.82, "val_loss": 0.3234311044216156, "val_acc": 0.9}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.7307941913604736, "final_val_loss": 0.6810581684112549, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.8036015033721924, "final_val_loss": 0.3234311044216156, "initial_val_acc": 0.44, "final_val_acc": 0.9, "best_val_acc": 0.9, "best_epoch": 11}, "improvement": 0.46, "first_improvement_epoch": 2}}
|
9,480
|
{"target_pattern": "alternating", "degraded_accuracy": 0.5, "improved_accuracy": 0.92, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1927, "learning_rate": 0.09780629337949884, "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: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
mean: [2.589202, -0.178612, -3.770520, -5.924775, -3.713209, 1.864266]
std: [2.741332, 2.715432, 2.449126, 6.273799, 2.522035, 2.328703]
pca: [[-0.056245, 0.638224, -0.403233, 0.571567, 0.274080, -0.158431, 0.000000, 0.000000, 0.000000, 0.000000], [0.202306, 0.471057, 0.536178, -0.140802, -0.307612, -0.579000, 0.000000, 0.000000, 0.000000, 0.000000], [0.317614, -0.152472, 0.286834, -0.065377, 0.867364, -0.192366, 0.000000, 0.000000, 0.000000, 0.000000], [0.879541, -0.023885, -0.425939, -0.092262, -0.188782, 0.016180, 0.000000, 0.000000, 0.000000, 0.000000], [0.270052, -0.156782, 0.494537, 0.720797, -0.161321, 0.335190, 0.000000, 0.000000, 0.000000, 0.000000], [0.092242, 0.567782, 0.204088, -0.348068, 0.127559, 0.700029, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.841611, 44.623644, 46.178738, 47.802052, 233.028211], [42.412302, 42.456183, 43.845691, 44.022268, 47.027439], [38.150519, 38.209035, 44.368812, 53.062666, 339.346841], [107.659475, 121.988082, 124.024349, 128.828011, 533.229742], [37.182649, 38.631033, 44.232827, 51.040408, 334.188800], [33.597472, 36.523254, 39.002943, 40.274541, 167.783944]]
### 2
mean: [-2.426549, -4.797498, -1.918611, 1.399242, 4.579338, -5.979529]
std: [2.335367, 3.400215, 1.256793, 1.415817, 4.160691, 3.929367]
pca: [[-0.301157, 0.487652, 0.796921, 0.085144, 0.123160, -0.118317, 0.000000, 0.000000, 0.000000, 0.000000], [-0.477974, -0.255547, 0.171611, -0.316295, -0.593435, 0.473898, 0.000000, 0.000000, 0.000000, 0.000000], [-0.170935, -0.173862, 0.027967, -0.367787, 0.775943, 0.449908, 0.000000, 0.000000, 0.000000, 0.000000], [0.059803, 0.733053, -0.343303, 0.125171, -0.078541, 0.565122, 0.000000, 0.000000, 0.000000, 0.000000], [0.585076, -0.287536, 0.433864, 0.390609, -0.045393, 0.481804, 0.000000, 0.000000, 0.000000, 0.000000], [-0.552934, -0.215916, -0.169083, 0.767592, 0.149502, 0.086637, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.047233, 35.664254, 36.708938, 41.857957, 218.389401], [49.512865, 50.931699, 56.185692, 58.226518, 431.774804], [17.807844, 18.938740, 20.569058, 21.123597, 172.675002], [20.838666, 21.906270, 22.227855, 24.358519, 125.931763], [60.663981, 65.431229, 65.939018, 67.660343, 412.140374], [57.858370, 58.199676, 67.200477, 70.508230, 538.157673]]
### 4
mean: [-6.476206, 2.883603, -2.792553, 4.419162, 1.964246, -1.236750]
std: [5.025928, 3.638590, 2.024042, 4.956841, 1.508334, 0.455832]
pca: [[0.609245, -0.466600, 0.298945, 0.195547, 0.328880, -0.418732, 0.000000, 0.000000, 0.000000, 0.000000], [-0.437913, -0.401810, 0.313112, 0.360374, -0.591675, -0.262286, 0.000000, 0.000000, 0.000000, 0.000000], [0.232702, -0.372114, 0.363452, -0.569165, -0.300369, 0.510993, 0.000000, 0.000000, 0.000000, 0.000000], [-0.601227, -0.452218, 0.029168, -0.235623, 0.614133, 0.022284, 0.000000, 0.000000, 0.000000, 0.000000], [-0.138873, 0.510444, 0.822989, 0.012100, 0.206041, -0.015818, 0.000000, 0.000000, 0.000000, 0.000000], [0.046303, -0.131564, 0.048302, 0.672517, 0.178678, 0.702858, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[73.465599, 78.582267, 81.261556, 83.431210, 582.858493], [50.867222, 51.858545, 54.697611, 60.829734, 259.524298], [28.957437, 29.287335, 34.418009, 34.816044, 251.329789], [69.025244, 69.177232, 72.078882, 82.910521, 397.724591], [22.995674, 25.419144, 25.856544, 25.982429, 176.782135], [6.416066, 7.178146, 7.850762, 7.880213, 111.307519]]
### 6
mean: [9.350563, -1.884871, -4.379261, 1.530598, -3.157794, -3.129354]
std: [10.419471, 1.441025, 4.486564, 1.397313, 3.309363, 3.150711]
pca: [[0.848626, 0.318338, 0.300118, 0.145572, 0.145621, 0.214540, 0.000000, 0.000000, 0.000000, 0.000000], [-0.116917, 0.081904, -0.063541, -0.038870, 0.966512, -0.199823, 0.000000, 0.000000, 0.000000, 0.000000], [-0.353529, 0.638189, 0.195463, -0.444733, -0.002357, 0.481386, 0.000000, 0.000000, 0.000000, 0.000000], [-0.063457, -0.637155, 0.634046, -0.208956, 0.151616, 0.348341, 0.000000, 0.000000, 0.000000, 0.000000], [-0.266646, 0.280527, 0.674261, 0.377050, -0.098597, -0.493648, 0.000000, 0.000000, 0.000000, 0.000000], [-0.257009, 0.002279, -0.105089, 0.770507, 0.109251, 0.563277, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[148.632365, 151.487337, 163.561742, 182.364661, 841.550668], [20.440314, 20.715668, 20.980630, 25.031614, 169.638379], [65.951505, 67.652297, 71.397829, 75.095452, 394.133530], [20.134872, 22.200645, 23.869210, 27.581168, 137.753855], [46.544980, 47.727132, 49.648806, 56.293419, 284.201481], [44.052310, 44.937504, 47.055926, 55.145321, 281.641886]]
### 8
mean: [-7.765749]
std: [12.641115]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[187.618871, 192.661964, 213.421775, 218.343839, 698.917440]]
## 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: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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## Activation Signature
### 0
mean: [2.589202, -0.178612, -3.770520, -5.924775, -3.713209, 1.864266]
std: [2.741332, 2.715432, 2.449126, 6.273799, 2.522035, 2.328703]
pca: [[-0.056245, 0.638224, -0.403233, 0.571567, 0.274080, -0.158431, 0.000000, 0.000000, 0.000000, 0.000000], [0.202306, 0.471057, 0.536178, -0.140802, -0.307612, -0.579000, 0.000000, 0.000000, 0.000000, 0.000000], [0.317614, -0.152472, 0.286834, -0.065377, 0.867364, -0.192366, 0.000000, 0.000000, 0.000000, 0.000000], [0.879541, -0.023885, -0.425939, -0.092262, -0.188782, 0.016180, 0.000000, 0.000000, 0.000000, 0.000000], [0.270052, -0.156782, 0.494537, 0.720797, -0.161321, 0.335190, 0.000000, 0.000000, 0.000000, 0.000000], [0.092242, 0.567782, 0.204088, -0.348068, 0.127559, 0.700029, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.841611, 44.623644, 46.178738, 47.802052, 233.028211], [42.412302, 42.456183, 43.845691, 44.022268, 47.027439], [38.150519, 38.209035, 44.368812, 53.062666, 339.346841], [107.659475, 121.988082, 124.024349, 128.828011, 533.229742], [37.182649, 38.631033, 44.232827, 51.040408, 334.188800], [33.597472, 36.523254, 39.002943, 40.274541, 167.783944]]
### 2
mean: [-2.426549, -4.797498, -1.918611, 1.399242, 4.579338, -5.979529]
std: [2.335367, 3.400215, 1.256793, 1.415817, 4.160691, 3.929367]
pca: [[-0.301157, 0.487652, 0.796921, 0.085144, 0.123160, -0.118317, 0.000000, 0.000000, 0.000000, 0.000000], [-0.477974, -0.255547, 0.171611, -0.316295, -0.593435, 0.473898, 0.000000, 0.000000, 0.000000, 0.000000], [-0.170935, -0.173862, 0.027967, -0.367787, 0.775943, 0.449908, 0.000000, 0.000000, 0.000000, 0.000000], [0.059803, 0.733053, -0.343303, 0.125171, -0.078541, 0.565122, 0.000000, 0.000000, 0.000000, 0.000000], [0.585076, -0.287536, 0.433864, 0.390609, -0.045393, 0.481804, 0.000000, 0.000000, 0.000000, 0.000000], [-0.552934, -0.215916, -0.169083, 0.767592, 0.149502, 0.086637, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.047233, 35.664254, 36.708938, 41.857957, 218.389401], [49.512865, 50.931699, 56.185692, 58.226518, 431.774804], [17.807844, 18.938740, 20.569058, 21.123597, 172.675002], [20.838666, 21.906270, 22.227855, 24.358519, 125.931763], [60.663981, 65.431229, 65.939018, 67.660343, 412.140374], [57.858370, 58.199676, 67.200477, 70.508230, 538.157673]]
### 4
mean: [-6.476206, 2.883603, -2.792553, 4.419162, 1.964246, -1.236750]
std: [5.025928, 3.638590, 2.024042, 4.956841, 1.508334, 0.455832]
pca: [[0.609245, -0.466600, 0.298945, 0.195547, 0.328880, -0.418732, 0.000000, 0.000000, 0.000000, 0.000000], [-0.437913, -0.401810, 0.313112, 0.360374, -0.591675, -0.262286, 0.000000, 0.000000, 0.000000, 0.000000], [0.232702, -0.372114, 0.363452, -0.569165, -0.300369, 0.510993, 0.000000, 0.000000, 0.000000, 0.000000], [-0.601227, -0.452218, 0.029168, -0.235623, 0.614133, 0.022284, 0.000000, 0.000000, 0.000000, 0.000000], [-0.138873, 0.510444, 0.822989, 0.012100, 0.206041, -0.015818, 0.000000, 0.000000, 0.000000, 0.000000], [0.046303, -0.131564, 0.048302, 0.672517, 0.178678, 0.702858, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[73.465599, 78.582267, 81.261556, 83.431210, 582.858493], [50.867222, 51.858545, 54.697611, 60.829734, 259.524298], [28.957437, 29.287335, 34.418009, 34.816044, 251.329789], [69.025244, 69.177232, 72.078882, 82.910521, 397.724591], [22.995674, 25.419144, 25.856544, 25.982429, 176.782135], [6.416066, 7.178146, 7.850762, 7.880213, 111.307519]]
### 6
mean: [9.350563, -1.884871, -4.379261, 1.530598, -3.157794, -3.129354]
std: [10.419471, 1.441025, 4.486564, 1.397313, 3.309363, 3.150711]
pca: [[0.848626, 0.318338, 0.300118, 0.145572, 0.145621, 0.214540, 0.000000, 0.000000, 0.000000, 0.000000], [-0.116917, 0.081904, -0.063541, -0.038870, 0.966512, -0.199823, 0.000000, 0.000000, 0.000000, 0.000000], [-0.353529, 0.638189, 0.195463, -0.444733, -0.002357, 0.481386, 0.000000, 0.000000, 0.000000, 0.000000], [-0.063457, -0.637155, 0.634046, -0.208956, 0.151616, 0.348341, 0.000000, 0.000000, 0.000000, 0.000000], [-0.266646, 0.280527, 0.674261, 0.377050, -0.098597, -0.493648, 0.000000, 0.000000, 0.000000, 0.000000], [-0.257009, 0.002279, -0.105089, 0.770507, 0.109251, 0.563277, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[148.632365, 151.487337, 163.561742, 182.364661, 841.550668], [20.440314, 20.715668, 20.980630, 25.031614, 169.638379], [65.951505, 67.652297, 71.397829, 75.095452, 394.133530], [20.134872, 22.200645, 23.869210, 27.581168, 137.753855], [46.544980, 47.727132, 49.648806, 56.293419, 284.201481], [44.052310, 44.937504, 47.055926, 55.145321, 281.641886]]
### 8
mean: [-7.765749]
std: [12.641115]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[187.618871, 192.661964, 213.421775, 218.343839, 698.917440]]
## 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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"5": {"mean": -3.129354238510132, "std": 3.1507112979888916, "pca": [-0.25700944662094116, 0.002278646919876337, -0.10508913546800613, 0.7705069184303284, 0.10925071686506271, 0.5632767081260681, 0.0, 0.0, 0.0, 0.0], "fourier": [44.0523097874925, 44.93750448209591, 47.05592639091841, 55.14532062662127, 281.64188611507416]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -7.765748977661133, "std": 12.641115188598633, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [187.61887096297772, 192.6619636357527, 213.42177460752532, 218.34383941663526, 698.9174400493503]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.867227, 1.151333, 0.700293, 0.177279, 0.083544], [-0.973237, -0.557142, 0.341775, 0.757658, -0.026613], [-0.275548, -0.68118, -0.520813, 0.205836, -0.613155], [-1.318416, 0.39931, -1.921319, 0.352791, -1.414545], [-0.545471, -0.778187, -0.238193, -0.152141, -0.335352], [-0.785307, -0.024048, 0.456521, 0.788044, 0.021672]], "network.0.bias": [-0.375602, -0.2581, -0.783614, -0.010227, -0.378953, 0.215091], "network.2.weight": [[-0.351758, -0.398331, -0.017192, 1.356107, -0.550182, -0.656924], [-0.865225, -0.514202, -0.282905, -0.120064, -0.137036, -0.601171], [-0.398484, -0.262459, 0.340385, -0.184637, -0.15465, -0.06219], [0.149712, -1.087477, 0.157346, 1.006533, -0.110691, 0.574502], [1.081501, 1.985897, 0.358868, -0.51004, -0.012795, 0.031975], [-0.66941, -0.319029, -0.882003, -0.261517, -0.138956, -1.210842]], "network.2.bias": [0.023454, -0.603104, -0.39145, 0.557566, -0.246064, -1.182139], "network.4.weight": [[-0.487429, -0.790948, 0.093749, -0.305885, -1.204831, -0.795021], [-0.038739, -0.367936, -0.238237, -0.845318, 0.901094, 0.263182], [-0.175822, -0.272823, -0.359033, -0.398714, -0.450665, -0.167624], [-0.341647, -0.460197, 0.173406, -1.011688, 1.231525, 0.109353], [1.542675, -0.507286, 0.293479, 0.635027, 0.258571, 0.357888], [-0.133147, -0.752826, 0.238127, -0.161416, -0.087112, -0.268965]], "network.4.bias": [-0.440438, -0.085229, -0.127231, 0.159204, -0.165147, -0.599384], "network.6.weight": [[-0.822094, 1.196232, 0.137795, 1.369451, -0.292626, -0.139139], [0.695874, -0.202909, 0.546196, -0.123962, -0.154992, -0.236055], [0.407877, -0.306168, 0.249448, -0.488278, -1.02278, 0.572371], [0.181111, 0.60623, -0.146202, -0.794561, 1.037149, 0.227407], [0.259831, 0.286987, 0.062327, -0.809185, -0.403302, 0.224091], [-0.344555, -0.388781, -0.283979, -0.366473, -0.064226, 0.034441]], "network.6.bias": [-0.054225, -0.383907, 0.81508, 1.25495, 0.452041, -0.119871], "network.8.weight": [[-1.102132, 0.06369, 0.761753, 1.453259, 0.76797, -0.019466]], "network.8.bias": [0.109353]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7013485431671143, "train_acc": 0.475, "val_loss": 0.7114134430885315, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6796805262565613, "train_acc": 0.57, "val_loss": 0.7212120294570923, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.664719432592392, "train_acc": 0.57, "val_loss": 0.6883848309516907, "val_acc": 0.48}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6326560378074646, "train_acc": 0.57, "val_loss": 0.664063572883606, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6458748877048492, "train_acc": 0.575, "val_loss": 0.6672804355621338, "val_acc": 0.6}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.6724238991737366, "train_acc": 0.64, "val_loss": 0.5860105752944946, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5412960648536682, "train_acc": 0.79, "val_loss": 0.4861229658126831, "val_acc": 0.68}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.4228026121854782, "train_acc": 0.77, "val_loss": 0.3506808578968048, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.25207675993442535, "train_acc": 0.905, "val_loss": 0.31496551632881165, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.19404134154319763, "train_acc": 0.92, "val_loss": 0.31180229783058167, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.1428988054394722, "train_acc": 0.945, "val_loss": 0.26270920038223267, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.14352832362055779, "train_acc": 0.945, "val_loss": 0.2326754778623581, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.09584122151136398, "train_acc": 0.96, "val_loss": 0.24655744433403015, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.08940178900957108, "train_acc": 0.97, "val_loss": 0.25392797589302063, "val_acc": 0.92}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.7114134430885315, "final_val_loss": 0.664063572883606, "initial_val_acc": 0.48, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.6672804355621338, "final_val_loss": 0.25392797589302063, "initial_val_acc": 0.6, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 12}, "improvement": 0.42000000000000004, "first_improvement_epoch": 3}}
|
9,481
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.46, "improved_accuracy": 0.9, "improvement": 0.44, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1286, "learning_rate": 0.07302432751268775, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "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: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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"network.6.weight": [
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"network.10.weight": [
[
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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [-0.489281, -4.271060, 1.250068, -1.875726, 1.990682, -2.949546, -3.411498, 2.606662]
std: [1.337426, 2.806661, 2.473208, 1.148753, 2.377654, 1.634118, 2.051103, 2.264023]
pca: [[0.028870, 0.190539, 0.054734, 0.777974, 0.487102, 0.075001, 0.165071, 0.290655, 0.000000, 0.000000], [0.598630, -0.107842, -0.277692, -0.273103, 0.314515, 0.364236, -0.337046, 0.364865, 0.000000, 0.000000], [-0.033444, 0.763689, 0.517331, -0.282424, 0.086344, 0.172553, -0.163749, 0.064980, 0.000000, 0.000000], [0.221143, -0.054992, 0.137843, -0.328792, 0.139142, 0.061927, 0.885609, 0.116053, 0.000000, 0.000000], [-0.425774, -0.426125, 0.343994, 0.003149, -0.013306, 0.711407, -0.034131, 0.106538, 0.000000, 0.000000], [0.268259, -0.223935, 0.492577, 0.125336, -0.441642, -0.309767, -0.094073, 0.565417, 0.000000, 0.000000], [0.353564, -0.314389, 0.520329, 0.045217, 0.379451, -0.144220, -0.147792, -0.562797, 0.000000, 0.000000], [-0.461012, -0.187751, 0.039416, -0.338437, 0.545700, -0.453037, -0.127190, 0.341930, 0.000000, 0.000000]]
fourier: [[21.875501, 22.601991, 23.011572, 25.067040, 44.035253], [44.526850, 47.019510, 48.633070, 52.831249, 384.395368], [38.270524, 39.071737, 45.100037, 49.161350, 112.506151], [16.630771, 17.096994, 21.248580, 24.962628, 168.815298], [38.704900, 39.026840, 41.767587, 48.520958, 179.161381], [23.711559, 23.784435, 28.534038, 29.853458, 265.459181], [33.039779, 34.874989, 35.224972, 36.268296, 307.034810], [35.412852, 40.950011, 43.917638, 44.248981, 234.599585]]
### 2
mean: [0.212829, 3.375090, -0.328594, 3.109175, -1.898424, -1.277865, -2.004945, 0.600244]
std: [2.439720, 3.363215, 1.393209, 1.731003, 1.087759, 2.673502, 1.662423, 2.313015]
pca: [[-0.418237, 0.247690, 0.302835, -0.224843, -0.077701, 0.249463, 0.707189, 0.230385, 0.000000, 0.000000], [0.565299, 0.419152, 0.406968, 0.210961, 0.404239, -0.012696, 0.011334, 0.361831, 0.000000, 0.000000], [-0.237286, 0.143353, 0.314837, -0.345391, 0.293175, 0.542779, -0.516113, -0.240405, 0.000000, 0.000000], [0.014885, 0.657629, -0.028994, -0.279715, -0.094699, -0.477160, 0.023096, -0.501038, 0.000000, 0.000000], [-0.034758, -0.383393, 0.750334, -0.153115, -0.236031, -0.440299, -0.125563, -0.004051, 0.000000, 0.000000], [-0.475311, 0.062352, -0.195011, -0.176803, 0.419986, -0.449385, -0.238846, 0.515287, 0.000000, 0.000000], [-0.286466, -0.155395, 0.148863, 0.505225, 0.561490, -0.130286, 0.243944, -0.473944, 0.000000, 0.000000], [-0.373893, 0.367300, 0.139692, 0.630435, -0.433894, 0.050323, -0.317060, 0.130416, 0.000000, 0.000000]]
fourier: [[35.598872, 36.150721, 40.347056, 47.524376, 49.725896], [53.092629, 58.104337, 60.232499, 68.553566, 303.758115], [20.886088, 22.926692, 27.106024, 28.243018, 29.573438], [27.447400, 28.392717, 28.931513, 32.100820, 279.825792], [18.346124, 19.355817, 20.239461, 22.786841, 170.858190], [42.243517, 42.311793, 46.693483, 55.754948, 115.007850], [25.666494, 28.350155, 28.833956, 37.447738, 180.445081], [32.932627, 39.689133, 45.163511, 47.223419, 54.021956]]
### 4
mean: [-1.685903, -1.662954, 4.084654, -4.186482, 1.620957, -2.227787, -1.527074, -1.939347]
std: [1.380788, 1.086328, 2.355776, 2.211702, 3.193059, 1.219644, 1.013877, 1.116363]
pca: [[0.004925, -0.379500, 0.031753, -0.502957, 0.236245, 0.638646, -0.294255, 0.227410, 0.000000, 0.000000], [-0.283714, -0.046797, -0.276335, 0.559343, 0.087246, 0.264101, -0.566035, -0.361018, 0.000000, 0.000000], [0.620654, 0.068664, 0.441526, 0.295603, 0.527556, 0.124518, 0.016224, -0.183476, 0.000000, 0.000000], [-0.401346, -0.443095, 0.432648, -0.206664, 0.146914, -0.260665, 0.082155, -0.562507, 0.000000, 0.000000], [-0.393724, 0.777591, 0.296252, -0.251229, 0.228280, 0.100781, -0.163348, -0.022376, 0.000000, 0.000000], [-0.252969, -0.208516, 0.205099, 0.252748, 0.344593, -0.414478, -0.263253, 0.653255, 0.000000, 0.000000], [-0.267431, -0.008063, -0.450741, 0.080210, 0.601118, 0.128161, 0.583979, 0.003909, 0.000000, 0.000000], [-0.287507, -0.067451, 0.455525, 0.413094, -0.323231, 0.490466, 0.385992, 0.201533, 0.000000, 0.000000]]
fourier: [[19.301995, 19.409708, 20.966385, 27.044833, 151.731268], [18.462079, 20.093703, 20.514171, 21.709209, 149.665878], [40.130730, 43.685510, 44.770621, 48.354397, 367.618885], [34.652270, 37.584076, 39.829144, 43.691926, 376.783375], [48.565638, 50.730713, 56.779271, 65.479384, 145.886144], [19.656797, 20.590908, 22.958755, 24.631790, 200.500835], [17.610120, 17.922921, 19.523702, 19.738822, 137.436644], [18.422270, 19.482599, 21.316497, 22.868497, 174.541232]]
### 6
mean: [-1.028753, -3.828249, -2.547885, 4.394136, 1.366317, 1.993963, -2.047125, -1.521870]
std: [0.756220, 1.942606, 1.077531, 2.115307, 1.252235, 2.659038, 0.801566, 0.788378]
pca: [[-0.200820, 0.105454, -0.046295, -0.297533, -0.292897, 0.875387, 0.055026, 0.052566, 0.000000, 0.000000], [-0.550903, -0.128054, -0.362990, -0.292542, 0.099478, -0.186618, -0.520470, 0.383608, 0.000000, 0.000000], [-0.288504, -0.143218, 0.282051, 0.790392, 0.058517, 0.241950, -0.127269, 0.337373, 0.000000, 0.000000], [0.343943, 0.622734, -0.342059, 0.112825, 0.116269, 0.021632, 0.101974, 0.582913, 0.000000, 0.000000], [0.043306, 0.443014, 0.550674, -0.184091, 0.431088, 0.107186, -0.496921, -0.143092, 0.000000, 0.000000], [0.612995, -0.569937, -0.113219, -0.071877, 0.279609, 0.280552, -0.302687, 0.181422, 0.000000, 0.000000], [-0.161295, -0.204735, 0.398638, -0.351420, 0.370371, -0.048627, 0.557695, 0.446203, 0.000000, 0.000000], [-0.225815, 0.034149, -0.441095, 0.160911, 0.697266, 0.217489, 0.223415, -0.379458, 0.000000, 0.000000]]
fourier: [[10.648037, 11.452692, 12.165927, 14.526890, 92.587783], [26.951216, 29.056091, 34.932460, 38.274558, 344.542393], [14.873731, 18.849408, 19.394685, 22.039483, 229.309664], [34.212022, 36.121766, 41.269772, 44.035384, 395.472221], [20.631321, 22.594097, 22.940418, 27.178262, 122.968536], [39.969625, 40.435044, 41.249783, 53.195092, 179.456673], [11.779712, 13.587812, 16.255838, 16.485574, 184.241269], [10.962120, 13.338046, 13.629616, 13.892089, 136.968311]]
### 8
mean: [-1.636856, 1.750838, -1.988335, -1.145899, -2.263346, 1.357988, -2.876310, -0.345741]
std: [0.739916, 2.321406, 0.897767, 0.637545, 0.943892, 1.690562, 1.114362, 0.389953]
pca: [[0.139254, 0.321647, 0.247798, 0.433079, 0.382583, -0.350100, -0.475592, 0.364778, 0.000000, 0.000000], [0.731419, -0.460683, 0.113759, -0.030415, 0.215767, -0.277113, 0.338218, 0.034527, 0.000000, 0.000000], [0.210793, 0.339253, -0.415074, -0.433131, -0.087762, 0.023272, 0.112743, 0.677960, 0.000000, 0.000000], [0.183011, 0.179091, 0.138874, 0.633549, -0.321741, 0.444692, 0.405690, 0.218884, 0.000000, 0.000000], [0.122898, 0.454865, -0.554336, 0.216010, 0.335562, -0.146302, 0.273110, -0.464167, 0.000000, 0.000000], [-0.570147, -0.125280, 0.120113, 0.046304, 0.433486, -0.178777, 0.571403, 0.310311, 0.000000, 0.000000], [0.101237, 0.560086, 0.628448, -0.368899, -0.094203, -0.142286, 0.264770, -0.214006, 0.000000, 0.000000], [0.131481, 0.029231, 0.131989, -0.194007, 0.621667, 0.727141, -0.104557, -0.025743, 0.000000, 0.000000]]
fourier: [[10.329382, 10.569519, 13.266393, 14.398205, 147.316996], [37.862399, 39.837430, 40.622253, 50.447561, 157.575429], [12.594353, 14.299322, 15.766929, 16.434416, 178.950189], [8.573258, 10.385725, 10.633642, 11.701252, 103.130921], [13.053881, 15.975927, 17.015549, 19.175705, 203.701142], [25.721747, 25.960097, 27.682904, 33.851521, 122.218905], [15.757082, 19.966011, 20.367649, 22.957579, 258.867890], [5.931196, 5.986627, 6.375960, 7.808485, 31.116677]]
### 10
mean: [-0.997365]
std: [1.801538]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.390139, 30.685473, 31.298201, 40.151958, 89.762847]]
## 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.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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[
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[
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[
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"network.0.bias": [
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0.974029,
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0.008604,
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-0.272553
]
],
"network.2.bias": [
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[
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],
"network.4.bias": [
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"network.6.weight": [
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]
],
"network.6.bias": [
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"network.8.weight": [
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[
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[
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[
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"network.10.weight": [
[
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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [-0.489281, -4.271060, 1.250068, -1.875726, 1.990682, -2.949546, -3.411498, 2.606662]
std: [1.337426, 2.806661, 2.473208, 1.148753, 2.377654, 1.634118, 2.051103, 2.264023]
pca: [[0.028870, 0.190539, 0.054734, 0.777974, 0.487102, 0.075001, 0.165071, 0.290655, 0.000000, 0.000000], [0.598630, -0.107842, -0.277692, -0.273103, 0.314515, 0.364236, -0.337046, 0.364865, 0.000000, 0.000000], [-0.033444, 0.763689, 0.517331, -0.282424, 0.086344, 0.172553, -0.163749, 0.064980, 0.000000, 0.000000], [0.221143, -0.054992, 0.137843, -0.328792, 0.139142, 0.061927, 0.885609, 0.116053, 0.000000, 0.000000], [-0.425774, -0.426125, 0.343994, 0.003149, -0.013306, 0.711407, -0.034131, 0.106538, 0.000000, 0.000000], [0.268259, -0.223935, 0.492577, 0.125336, -0.441642, -0.309767, -0.094073, 0.565417, 0.000000, 0.000000], [0.353564, -0.314389, 0.520329, 0.045217, 0.379451, -0.144220, -0.147792, -0.562797, 0.000000, 0.000000], [-0.461012, -0.187751, 0.039416, -0.338437, 0.545700, -0.453037, -0.127190, 0.341930, 0.000000, 0.000000]]
fourier: [[21.875501, 22.601991, 23.011572, 25.067040, 44.035253], [44.526850, 47.019510, 48.633070, 52.831249, 384.395368], [38.270524, 39.071737, 45.100037, 49.161350, 112.506151], [16.630771, 17.096994, 21.248580, 24.962628, 168.815298], [38.704900, 39.026840, 41.767587, 48.520958, 179.161381], [23.711559, 23.784435, 28.534038, 29.853458, 265.459181], [33.039779, 34.874989, 35.224972, 36.268296, 307.034810], [35.412852, 40.950011, 43.917638, 44.248981, 234.599585]]
### 2
mean: [0.212829, 3.375090, -0.328594, 3.109175, -1.898424, -1.277865, -2.004945, 0.600244]
std: [2.439720, 3.363215, 1.393209, 1.731003, 1.087759, 2.673502, 1.662423, 2.313015]
pca: [[-0.418237, 0.247690, 0.302835, -0.224843, -0.077701, 0.249463, 0.707189, 0.230385, 0.000000, 0.000000], [0.565299, 0.419152, 0.406968, 0.210961, 0.404239, -0.012696, 0.011334, 0.361831, 0.000000, 0.000000], [-0.237286, 0.143353, 0.314837, -0.345391, 0.293175, 0.542779, -0.516113, -0.240405, 0.000000, 0.000000], [0.014885, 0.657629, -0.028994, -0.279715, -0.094699, -0.477160, 0.023096, -0.501038, 0.000000, 0.000000], [-0.034758, -0.383393, 0.750334, -0.153115, -0.236031, -0.440299, -0.125563, -0.004051, 0.000000, 0.000000], [-0.475311, 0.062352, -0.195011, -0.176803, 0.419986, -0.449385, -0.238846, 0.515287, 0.000000, 0.000000], [-0.286466, -0.155395, 0.148863, 0.505225, 0.561490, -0.130286, 0.243944, -0.473944, 0.000000, 0.000000], [-0.373893, 0.367300, 0.139692, 0.630435, -0.433894, 0.050323, -0.317060, 0.130416, 0.000000, 0.000000]]
fourier: [[35.598872, 36.150721, 40.347056, 47.524376, 49.725896], [53.092629, 58.104337, 60.232499, 68.553566, 303.758115], [20.886088, 22.926692, 27.106024, 28.243018, 29.573438], [27.447400, 28.392717, 28.931513, 32.100820, 279.825792], [18.346124, 19.355817, 20.239461, 22.786841, 170.858190], [42.243517, 42.311793, 46.693483, 55.754948, 115.007850], [25.666494, 28.350155, 28.833956, 37.447738, 180.445081], [32.932627, 39.689133, 45.163511, 47.223419, 54.021956]]
### 4
mean: [-1.685903, -1.662954, 4.084654, -4.186482, 1.620957, -2.227787, -1.527074, -1.939347]
std: [1.380788, 1.086328, 2.355776, 2.211702, 3.193059, 1.219644, 1.013877, 1.116363]
pca: [[0.004925, -0.379500, 0.031753, -0.502957, 0.236245, 0.638646, -0.294255, 0.227410, 0.000000, 0.000000], [-0.283714, -0.046797, -0.276335, 0.559343, 0.087246, 0.264101, -0.566035, -0.361018, 0.000000, 0.000000], [0.620654, 0.068664, 0.441526, 0.295603, 0.527556, 0.124518, 0.016224, -0.183476, 0.000000, 0.000000], [-0.401346, -0.443095, 0.432648, -0.206664, 0.146914, -0.260665, 0.082155, -0.562507, 0.000000, 0.000000], [-0.393724, 0.777591, 0.296252, -0.251229, 0.228280, 0.100781, -0.163348, -0.022376, 0.000000, 0.000000], [-0.252969, -0.208516, 0.205099, 0.252748, 0.344593, -0.414478, -0.263253, 0.653255, 0.000000, 0.000000], [-0.267431, -0.008063, -0.450741, 0.080210, 0.601118, 0.128161, 0.583979, 0.003909, 0.000000, 0.000000], [-0.287507, -0.067451, 0.455525, 0.413094, -0.323231, 0.490466, 0.385992, 0.201533, 0.000000, 0.000000]]
fourier: [[19.301995, 19.409708, 20.966385, 27.044833, 151.731268], [18.462079, 20.093703, 20.514171, 21.709209, 149.665878], [40.130730, 43.685510, 44.770621, 48.354397, 367.618885], [34.652270, 37.584076, 39.829144, 43.691926, 376.783375], [48.565638, 50.730713, 56.779271, 65.479384, 145.886144], [19.656797, 20.590908, 22.958755, 24.631790, 200.500835], [17.610120, 17.922921, 19.523702, 19.738822, 137.436644], [18.422270, 19.482599, 21.316497, 22.868497, 174.541232]]
### 6
mean: [-1.028753, -3.828249, -2.547885, 4.394136, 1.366317, 1.993963, -2.047125, -1.521870]
std: [0.756220, 1.942606, 1.077531, 2.115307, 1.252235, 2.659038, 0.801566, 0.788378]
pca: [[-0.200820, 0.105454, -0.046295, -0.297533, -0.292897, 0.875387, 0.055026, 0.052566, 0.000000, 0.000000], [-0.550903, -0.128054, -0.362990, -0.292542, 0.099478, -0.186618, -0.520470, 0.383608, 0.000000, 0.000000], [-0.288504, -0.143218, 0.282051, 0.790392, 0.058517, 0.241950, -0.127269, 0.337373, 0.000000, 0.000000], [0.343943, 0.622734, -0.342059, 0.112825, 0.116269, 0.021632, 0.101974, 0.582913, 0.000000, 0.000000], [0.043306, 0.443014, 0.550674, -0.184091, 0.431088, 0.107186, -0.496921, -0.143092, 0.000000, 0.000000], [0.612995, -0.569937, -0.113219, -0.071877, 0.279609, 0.280552, -0.302687, 0.181422, 0.000000, 0.000000], [-0.161295, -0.204735, 0.398638, -0.351420, 0.370371, -0.048627, 0.557695, 0.446203, 0.000000, 0.000000], [-0.225815, 0.034149, -0.441095, 0.160911, 0.697266, 0.217489, 0.223415, -0.379458, 0.000000, 0.000000]]
fourier: [[10.648037, 11.452692, 12.165927, 14.526890, 92.587783], [26.951216, 29.056091, 34.932460, 38.274558, 344.542393], [14.873731, 18.849408, 19.394685, 22.039483, 229.309664], [34.212022, 36.121766, 41.269772, 44.035384, 395.472221], [20.631321, 22.594097, 22.940418, 27.178262, 122.968536], [39.969625, 40.435044, 41.249783, 53.195092, 179.456673], [11.779712, 13.587812, 16.255838, 16.485574, 184.241269], [10.962120, 13.338046, 13.629616, 13.892089, 136.968311]]
### 8
mean: [-1.636856, 1.750838, -1.988335, -1.145899, -2.263346, 1.357988, -2.876310, -0.345741]
std: [0.739916, 2.321406, 0.897767, 0.637545, 0.943892, 1.690562, 1.114362, 0.389953]
pca: [[0.139254, 0.321647, 0.247798, 0.433079, 0.382583, -0.350100, -0.475592, 0.364778, 0.000000, 0.000000], [0.731419, -0.460683, 0.113759, -0.030415, 0.215767, -0.277113, 0.338218, 0.034527, 0.000000, 0.000000], [0.210793, 0.339253, -0.415074, -0.433131, -0.087762, 0.023272, 0.112743, 0.677960, 0.000000, 0.000000], [0.183011, 0.179091, 0.138874, 0.633549, -0.321741, 0.444692, 0.405690, 0.218884, 0.000000, 0.000000], [0.122898, 0.454865, -0.554336, 0.216010, 0.335562, -0.146302, 0.273110, -0.464167, 0.000000, 0.000000], [-0.570147, -0.125280, 0.120113, 0.046304, 0.433486, -0.178777, 0.571403, 0.310311, 0.000000, 0.000000], [0.101237, 0.560086, 0.628448, -0.368899, -0.094203, -0.142286, 0.264770, -0.214006, 0.000000, 0.000000], [0.131481, 0.029231, 0.131989, -0.194007, 0.621667, 0.727141, -0.104557, -0.025743, 0.000000, 0.000000]]
fourier: [[10.329382, 10.569519, 13.266393, 14.398205, 147.316996], [37.862399, 39.837430, 40.622253, 50.447561, 157.575429], [12.594353, 14.299322, 15.766929, 16.434416, 178.950189], [8.573258, 10.385725, 10.633642, 11.701252, 103.130921], [13.053881, 15.975927, 17.015549, 19.175705, 203.701142], [25.721747, 25.960097, 27.682904, 33.851521, 122.218905], [15.757082, 19.966011, 20.367649, 22.957579, 258.867890], [5.931196, 5.986627, 6.375960, 7.808485, 31.116677]]
### 10
mean: [-0.997365]
std: [1.801538]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.390139, 30.685473, 31.298201, 40.151958, 89.762847]]
## 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.
palindrome
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.25935, -0.091603, 0.582637, -0.362236, 0.019423], [-0.678258, -0.706143, -0.561608, -0.065688, -0.092871], [-0.29869, 0.20203, 0.832828, 0.254124, -1.132005], [-0.085071, -0.282885, -0.326661, 0.021812, -0.24654], [1.041697, 0.257109, -0.265655, -0.022818, 0.370353], [-0.088588, 0.004935, -0.543772, -0.537485, -0.079962], [0.066665, -0.48108, -0.593823, -0.457951, -0.151857], [0.961492, 0.008899, 0.061172, 0.464453, 0.148275]], "network.0.bias": [-0.463836, -0.711714, 0.365126, -0.314729, 0.372925, -0.46119, -0.208055, 0.087274], "network.2.weight": [[0.060903, 0.042241, 0.788772, 0.165644, -0.541672, -0.337203, -0.389208, -0.152652], [-0.162492, 0.539637, -0.103383, -0.171508, 0.732292, -0.012666, 0.197176, 0.741879], [0.012113, -0.523086, 0.429246, -0.054907, -0.390166, -0.351269, -0.215258, -0.003972], [0.321544, -0.433061, 0.811816, -0.155958, 0.209788, -0.411968, -0.498333, 0.30047], [-0.468166, -0.17339, -0.480262, -0.292554, -0.436929, -0.011773, -0.338988, 0.073407], [0.225777, 0.015439, 0.624723, 0.107245, -0.513168, -0.077993, -0.111485, -0.426737], [-0.190334, -0.024303, 0.179892, 0.286118, -0.348342, -0.461111, -0.07724, -0.363051], [0.00261, -0.383275, 0.974029, 0.145851, -0.239992, 0.008604, -0.405572, -0.272553]], "network.2.bias": [0.344922, 0.175415, -0.261125, 0.400081, -0.220492, -0.262096, -0.593178, 0.129833], "network.4.weight": [[-0.16371, -0.002597, -0.574506, -0.263451, 0.114771, 0.009652, -0.078655, -0.280944], [0.173615, -0.308546, 0.255351, -0.110998, -0.27057, -0.318437, 0.255842, -0.233174], [0.191383, 0.594625, 0.048029, 0.411653, -0.047469, 0.384642, -0.381311, -0.349877], [-0.412358, -0.363056, 0.024185, -0.640535, 0.261428, -0.100917, -0.130628, -0.208559], [0.559671, -0.33566, 0.263065, 0.278185, 0.233875, 0.317472, -0.075637, 0.684197], [-0.156899, -0.258102, 0.295444, -0.285811, -0.328295, -0.113838, -0.292298, -0.264253], [0.168113, -0.333327, -0.032431, 0.023865, -0.033914, -0.193079, 0.350579, -0.2141], [0.085309, -0.215965, 0.290981, -0.357821, -0.08349, -0.105421, -0.332404, -0.064037]], "network.4.bias": [-0.103484, -0.135205, 0.833199, -0.221979, 0.193129, -0.033281, -0.290361, -0.178474], "network.6.weight": [[0.329639, 0.185067, -0.07808, -0.307697, -0.274268, -0.28653, 0.043391, -0.33789], [-0.393892, -0.297376, -0.619839, 0.19615, -0.568624, 0.199546, 0.113054, -0.34433], [-0.095557, -0.075174, -0.398628, -0.164946, -0.26425, 0.261087, 0.296245, -0.172446], [0.052977, 0.209158, 0.914555, -0.083637, 0.116001, 0.073265, -0.177652, 0.075761], [-0.091174, 0.099168, 0.469539, -0.276823, -0.145941, 0.119655, 0.297472, 0.02341], [0.238917, 0.3174, -0.002757, 0.283071, 0.946416, 0.244808, 0.014302, -0.285894], [-0.319144, 0.22372, -0.344032, -0.361693, -0.092841, -0.309967, -0.179978, 0.280569], [-0.14429, 0.336449, -0.169862, -0.261146, -0.271229, 0.068906, -0.092381, 0.305198]], "network.6.bias": [-0.145494, -0.126427, -0.375908, 0.419812, -0.251302, 0.057889, -0.450845, -0.269966], "network.8.weight": [[-0.151601, 0.339992, -0.240809, -0.071435, -0.343893, -0.280502, 0.182574, 0.031107], [-0.036234, 0.088904, -0.524395, 0.536306, 0.146025, -0.671021, -0.049896, -0.153907], [0.314768, -0.258922, -0.344041, -0.253259, 0.018585, -0.28159, 0.00052, 0.352754], [0.295722, -0.299162, -0.14176, -0.2198, 0.216259, -0.180714, -0.033223, -0.175038], [0.324226, -0.267432, 0.011239, -0.155538, -0.419761, -0.302897, -0.315677, 0.2133], [0.330337, -0.159006, -0.346197, 0.105386, -0.294364, 0.569161, 0.020834, -0.06506], [0.224522, -0.31896, -0.144076, -0.444318, -0.050731, -0.21811, -0.197882, 0.144177], [-0.088166, -0.000905, 0.057908, 0.108671, -0.192041, -0.18773, 0.022851, 0.227683]], "network.8.bias": [-0.293783, 0.53271, -0.339393, -0.115207, -0.402398, 0.162217, -0.419696, -0.186542], "network.10.weight": [[0.113533, -0.678277, -0.263086, 0.10807, -0.219489, 0.373293, -0.285071, 0.018985]], "network.10.bias": [-0.127871]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6844764351844788, "train_acc": 0.575, "val_loss": 0.7141578197479248, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.68365278840065, "train_acc": 0.575, "val_loss": 0.7252185940742493, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6895465850830078, "train_acc": 0.575, "val_loss": 0.7262617349624634, "val_acc": 0.46}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6764393746852875, "train_acc": 0.575, "val_loss": 0.7101930379867554, "val_acc": 0.46}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6642044484615326, "train_acc": 0.575, "val_loss": 0.6481165885925293, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.603414386510849, "train_acc": 0.605, "val_loss": 0.4195171594619751, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.48943981528282166, "train_acc": 0.795, "val_loss": 0.35965919494628906, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.43316662311553955, "train_acc": 0.815, "val_loss": 0.3459869623184204, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.41738659143447876, "train_acc": 0.82, "val_loss": 0.3973192274570465, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.40620630979537964, "train_acc": 0.81, "val_loss": 0.3780117928981781, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.37245169281959534, "train_acc": 0.855, "val_loss": 0.31598100066185, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.3796016573905945, "train_acc": 0.835, "val_loss": 0.3160734176635742, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.3544713258743286, "train_acc": 0.85, "val_loss": 0.3512189984321594, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.35524512827396393, "train_acc": 0.85, "val_loss": 0.3363761901855469, "val_acc": 0.88}], "summary": {"total_epochs": 14, "degraded_epochs": 5, "improved_epochs": 9, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.7141578197479248, "final_val_loss": 0.6481165885925293, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.4195171594619751, "final_val_loss": 0.3363761901855469, "initial_val_acc": 0.84, "final_val_acc": 0.88, "best_val_acc": 0.9, "best_epoch": 6}, "improvement": 0.44, "first_improvement_epoch": 4}}
|
9,482
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.66, "improved_accuracy": 0.84, "improvement": 0.17999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2929, "learning_rate": 0.04925845816119983, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "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: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.42849,
0.140206,
0.522914,
-0.170801,
-0.639018
],
[
0.534846,
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0.171109,
0.133608,
0.99678
],
[
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## Activation Signature
### 0
mean: [0.030926, 2.640897, -0.921424, 1.208134, -2.036752, -1.824330, 0.361658, -0.146300]
std: [1.632445, 2.456910, 1.283948, 1.525354, 1.351370, 2.276288, 1.011069, 0.878927]
pca: [[-0.345402, 0.456751, -0.104068, -0.062778, 0.514334, -0.469202, -0.415089, -0.017774, 0.000000, 0.000000], [0.628187, 0.200563, 0.176688, -0.104870, 0.428639, -0.219484, 0.435096, 0.318946, 0.000000, 0.000000], [-0.277815, 0.314054, -0.172880, -0.234916, 0.322766, 0.750468, 0.199609, 0.178584, 0.000000, 0.000000], [-0.154933, 0.681025, 0.111354, 0.115725, -0.453401, -0.145554, 0.446146, -0.246180, 0.000000, 0.000000], [-0.241272, -0.310023, -0.529723, 0.296123, 0.289334, -0.207135, 0.549734, -0.220343, 0.000000, 0.000000], [-0.524703, -0.300124, 0.626478, -0.314810, 0.095313, -0.171156, 0.303711, 0.111414, 0.000000, 0.000000], [-0.111727, 0.049065, 0.368730, 0.854187, 0.178368, 0.175210, -0.061585, 0.230664, 0.000000, 0.000000], [-0.197196, 0.011459, -0.326529, 0.007296, -0.342586, -0.210691, 0.035521, 0.831439, 0.000000, 0.000000]]
fourier: [[24.415157, 26.834910, 27.770702, 29.639890, 32.084792], [40.153909, 47.884399, 52.062673, 53.762698, 237.680741], [19.533932, 22.260044, 23.176409, 23.975966, 82.928192], [23.126059, 23.425597, 23.710567, 28.492653, 108.732024], [22.588548, 23.300011, 23.865997, 24.881662, 183.307661], [36.546693, 38.501453, 44.700830, 52.497256, 164.189747], [14.907423, 15.514247, 15.748556, 20.727106, 32.549190], [13.166984, 13.832680, 16.345540, 16.907133, 17.733046]]
### 2
mean: [1.185988, 0.281229, 1.190135, -0.117277, 1.104359, 1.282427, -0.084523, -2.104317]
std: [1.825396, 1.603501, 1.387445, 0.859172, 1.275305, 0.580881, 0.479759, 1.471560]
pca: [[0.533780, -0.148546, 0.606809, -0.155346, -0.175745, 0.179218, 0.137940, 0.467579, 0.000000, 0.000000], [-0.433940, 0.560718, 0.121975, 0.364102, -0.206737, 0.172418, 0.357199, 0.387019, 0.000000, 0.000000], [0.391943, 0.354809, -0.157722, -0.152973, 0.280547, 0.431197, 0.505579, -0.389828, 0.000000, 0.000000], [-0.237994, 0.208045, 0.410303, -0.404382, 0.513784, -0.514246, 0.199436, 0.002338, 0.000000, 0.000000], [0.369180, 0.169401, 0.280776, 0.731885, 0.171152, -0.328581, -0.114875, -0.264696, 0.000000, 0.000000], [-0.043364, 0.471302, 0.346114, -0.291124, -0.413554, 0.119869, -0.466467, -0.410436, 0.000000, 0.000000], [-0.138448, 0.038495, 0.136117, 0.099480, 0.616990, 0.536002, -0.493424, 0.198705, 0.000000, 0.000000], [-0.398963, -0.491989, 0.454447, 0.161453, -0.051930, 0.279536, 0.289380, -0.449008, 0.000000, 0.000000]]
fourier: [[28.300614, 32.536511, 38.139812, 38.410001, 106.738928], [24.632245, 25.310569, 29.071487, 29.832817, 30.254435], [23.124349, 27.652147, 28.845007, 29.455961, 107.112132], [12.076266, 13.842359, 16.297043, 16.564040, 17.975651], [20.446938, 23.371743, 27.585014, 28.591902, 99.392306], [9.401447, 9.491397, 9.580674, 11.049678, 115.418406], [7.605249, 7.607053, 7.615895, 9.987636, 10.064539], [24.908074, 29.321515, 30.048917, 30.112379, 189.388547]]
### 4
mean: [1.113238, 1.361093, 1.154232, 0.563149, 1.123220, -0.510060, 2.021765, -0.224579]
std: [0.894785, 1.703990, 1.053144, 1.348867, 1.414511, 0.256212, 1.997755, 0.995974]
pca: [[-0.189092, 0.504552, -0.439433, -0.264748, 0.272547, -0.358975, -0.193353, -0.453816, 0.000000, 0.000000], [0.480227, 0.234846, -0.220822, -0.352037, 0.352372, 0.298409, -0.194914, 0.538824, 0.000000, 0.000000], [-0.233031, 0.559515, 0.364626, 0.349681, 0.234733, -0.287096, 0.232241, 0.431220, 0.000000, 0.000000], [-0.358443, 0.418202, -0.002661, 0.079383, -0.178525, 0.796480, -0.038434, -0.150294, 0.000000, 0.000000], [0.401665, 0.133506, -0.094445, -0.007155, 0.117739, 0.120537, 0.831894, -0.302376, 0.000000, 0.000000], [-0.044726, -0.149435, 0.634523, -0.257465, 0.604430, 0.155067, -0.110490, -0.324301, 0.000000, 0.000000], [0.554497, 0.397693, 0.415652, -0.001547, -0.450926, -0.118742, -0.291701, -0.243066, 0.000000, 0.000000], [0.282913, -0.063323, -0.202166, 0.781702, 0.363385, 0.112295, -0.282604, -0.198739, 0.000000, 0.000000]]
fourier: [[14.622542, 14.730848, 15.619026, 16.966900, 100.191393], [27.897695, 31.271031, 36.891111, 37.186610, 122.498346], [16.973807, 17.226941, 17.321247, 19.537561, 103.880915], [20.522790, 24.458211, 24.611666, 25.585992, 50.683373], [23.072153, 25.507978, 30.432604, 30.821345, 101.089797], [4.185890, 4.197913, 4.198648, 4.666943, 45.905385], [32.696717, 38.052707, 42.978388, 43.775528, 181.958905], [15.821583, 17.082846, 20.212135, 20.813931, 21.466141]]
### 6
mean: [0.394959, 2.397156, 0.940605, -0.755462, -1.684305, -2.205908, 1.752083, -1.061154]
std: [0.741545, 2.067156, 1.887402, 0.400945, 0.537316, 1.721071, 2.946490, 0.418748]
pca: [[-0.137621, 0.341536, -0.511801, 0.159981, -0.241364, -0.160099, 0.574492, 0.403671, 0.000000, 0.000000], [0.465376, 0.304778, -0.012164, -0.541184, 0.487924, 0.216094, 0.113275, 0.316085, 0.000000, 0.000000], [-0.386981, 0.664900, 0.419626, 0.138921, 0.258654, 0.052054, 0.197222, -0.322893, 0.000000, 0.000000], [-0.081910, -0.142450, 0.208235, -0.092972, -0.392429, 0.818037, 0.309878, 0.042246, 0.000000, 0.000000], [-0.041275, -0.399201, 0.025480, -0.369117, 0.138063, -0.276633, 0.642769, -0.439658, 0.000000, 0.000000], [-0.378726, -0.379088, -0.134516, 0.335502, 0.667103, 0.243565, 0.082165, 0.266648, 0.000000, 0.000000], [0.675183, -0.032879, 0.180702, 0.635257, 0.084441, 0.024363, 0.291391, -0.119199, 0.000000, 0.000000], [-0.083740, -0.154693, 0.683423, -0.034966, -0.107483, -0.345448, 0.131889, 0.593705, 0.000000, 0.000000]]
fourier: [[11.875096, 12.144614, 12.428953, 14.148378, 35.546297], [34.582233, 37.903783, 44.808324, 45.076689, 215.744061], [29.513688, 33.572309, 33.843451, 36.117865, 84.654468], [6.417918, 7.632090, 8.232383, 8.396002, 67.991559], [8.602749, 9.163738, 10.180883, 11.111280, 151.587459], [28.438125, 31.793849, 36.825859, 37.471146, 198.531665], [47.725999, 51.252266, 63.166721, 63.393476, 157.687424], [6.854502, 8.243167, 8.400056, 8.823252, 95.503814]]
### 8
mean: [0.514963, 1.462705, -1.127554, -0.853124, 0.430077, 0.860894, -0.846056, -0.394928]
std: [0.341875, 2.952485, 0.378622, 0.368681, 0.878051, 0.920256, 1.914560, 1.684576]
pca: [[-0.030163, -0.488984, -0.343751, -0.253712, 0.330344, 0.575366, 0.163742, -0.332364, 0.000000, 0.000000], [0.720102, 0.058985, 0.421370, -0.091145, 0.120582, -0.101575, 0.265809, -0.443398, 0.000000, 0.000000], [-0.042641, 0.517996, 0.030630, -0.140819, 0.804938, 0.071148, -0.182645, 0.150825, 0.000000, 0.000000], [-0.049130, 0.476053, 0.047848, 0.523705, -0.205297, 0.627894, 0.150202, -0.188269, 0.000000, 0.000000], [0.213770, -0.067980, 0.341505, -0.339396, -0.148617, 0.444100, 0.161819, 0.687291, 0.000000, 0.000000], [0.213116, -0.444102, 0.265489, 0.531771, 0.216951, 0.132065, -0.570977, 0.116478, 0.000000, 0.000000], [-0.466823, 0.006918, 0.605010, -0.361967, -0.132644, 0.137675, -0.330148, -0.373396, 0.000000, 0.000000], [-0.408988, -0.246117, 0.384588, 0.322857, 0.315456, -0.160324, 0.620819, 0.096842, 0.000000, 0.000000]]
fourier: [[5.538033, 6.109247, 6.403821, 6.446607, 46.346701], [48.123370, 48.386615, 61.590734, 63.860238, 131.643483], [5.535055, 6.539816, 6.667241, 7.582694, 101.479837], [5.860576, 6.309454, 6.729718, 7.306615, 76.781151], [14.344706, 14.486146, 18.708565, 19.126960, 38.706968], [15.379020, 16.047019, 19.607272, 20.487113, 77.480504], [30.895834, 32.118790, 39.850639, 41.504666, 76.145031], [27.018765, 27.368025, 33.812900, 35.543491, 36.128376]]
### 10
mean: [-1.346543]
std: [1.851165]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.831732, 31.465224, 39.108010, 40.858658, 121.188882]]
## 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.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
mean: [0.030926, 2.640897, -0.921424, 1.208134, -2.036752, -1.824330, 0.361658, -0.146300]
std: [1.632445, 2.456910, 1.283948, 1.525354, 1.351370, 2.276288, 1.011069, 0.878927]
pca: [[-0.345402, 0.456751, -0.104068, -0.062778, 0.514334, -0.469202, -0.415089, -0.017774, 0.000000, 0.000000], [0.628187, 0.200563, 0.176688, -0.104870, 0.428639, -0.219484, 0.435096, 0.318946, 0.000000, 0.000000], [-0.277815, 0.314054, -0.172880, -0.234916, 0.322766, 0.750468, 0.199609, 0.178584, 0.000000, 0.000000], [-0.154933, 0.681025, 0.111354, 0.115725, -0.453401, -0.145554, 0.446146, -0.246180, 0.000000, 0.000000], [-0.241272, -0.310023, -0.529723, 0.296123, 0.289334, -0.207135, 0.549734, -0.220343, 0.000000, 0.000000], [-0.524703, -0.300124, 0.626478, -0.314810, 0.095313, -0.171156, 0.303711, 0.111414, 0.000000, 0.000000], [-0.111727, 0.049065, 0.368730, 0.854187, 0.178368, 0.175210, -0.061585, 0.230664, 0.000000, 0.000000], [-0.197196, 0.011459, -0.326529, 0.007296, -0.342586, -0.210691, 0.035521, 0.831439, 0.000000, 0.000000]]
fourier: [[24.415157, 26.834910, 27.770702, 29.639890, 32.084792], [40.153909, 47.884399, 52.062673, 53.762698, 237.680741], [19.533932, 22.260044, 23.176409, 23.975966, 82.928192], [23.126059, 23.425597, 23.710567, 28.492653, 108.732024], [22.588548, 23.300011, 23.865997, 24.881662, 183.307661], [36.546693, 38.501453, 44.700830, 52.497256, 164.189747], [14.907423, 15.514247, 15.748556, 20.727106, 32.549190], [13.166984, 13.832680, 16.345540, 16.907133, 17.733046]]
### 2
mean: [1.185988, 0.281229, 1.190135, -0.117277, 1.104359, 1.282427, -0.084523, -2.104317]
std: [1.825396, 1.603501, 1.387445, 0.859172, 1.275305, 0.580881, 0.479759, 1.471560]
pca: [[0.533780, -0.148546, 0.606809, -0.155346, -0.175745, 0.179218, 0.137940, 0.467579, 0.000000, 0.000000], [-0.433940, 0.560718, 0.121975, 0.364102, -0.206737, 0.172418, 0.357199, 0.387019, 0.000000, 0.000000], [0.391943, 0.354809, -0.157722, -0.152973, 0.280547, 0.431197, 0.505579, -0.389828, 0.000000, 0.000000], [-0.237994, 0.208045, 0.410303, -0.404382, 0.513784, -0.514246, 0.199436, 0.002338, 0.000000, 0.000000], [0.369180, 0.169401, 0.280776, 0.731885, 0.171152, -0.328581, -0.114875, -0.264696, 0.000000, 0.000000], [-0.043364, 0.471302, 0.346114, -0.291124, -0.413554, 0.119869, -0.466467, -0.410436, 0.000000, 0.000000], [-0.138448, 0.038495, 0.136117, 0.099480, 0.616990, 0.536002, -0.493424, 0.198705, 0.000000, 0.000000], [-0.398963, -0.491989, 0.454447, 0.161453, -0.051930, 0.279536, 0.289380, -0.449008, 0.000000, 0.000000]]
fourier: [[28.300614, 32.536511, 38.139812, 38.410001, 106.738928], [24.632245, 25.310569, 29.071487, 29.832817, 30.254435], [23.124349, 27.652147, 28.845007, 29.455961, 107.112132], [12.076266, 13.842359, 16.297043, 16.564040, 17.975651], [20.446938, 23.371743, 27.585014, 28.591902, 99.392306], [9.401447, 9.491397, 9.580674, 11.049678, 115.418406], [7.605249, 7.607053, 7.615895, 9.987636, 10.064539], [24.908074, 29.321515, 30.048917, 30.112379, 189.388547]]
### 4
mean: [1.113238, 1.361093, 1.154232, 0.563149, 1.123220, -0.510060, 2.021765, -0.224579]
std: [0.894785, 1.703990, 1.053144, 1.348867, 1.414511, 0.256212, 1.997755, 0.995974]
pca: [[-0.189092, 0.504552, -0.439433, -0.264748, 0.272547, -0.358975, -0.193353, -0.453816, 0.000000, 0.000000], [0.480227, 0.234846, -0.220822, -0.352037, 0.352372, 0.298409, -0.194914, 0.538824, 0.000000, 0.000000], [-0.233031, 0.559515, 0.364626, 0.349681, 0.234733, -0.287096, 0.232241, 0.431220, 0.000000, 0.000000], [-0.358443, 0.418202, -0.002661, 0.079383, -0.178525, 0.796480, -0.038434, -0.150294, 0.000000, 0.000000], [0.401665, 0.133506, -0.094445, -0.007155, 0.117739, 0.120537, 0.831894, -0.302376, 0.000000, 0.000000], [-0.044726, -0.149435, 0.634523, -0.257465, 0.604430, 0.155067, -0.110490, -0.324301, 0.000000, 0.000000], [0.554497, 0.397693, 0.415652, -0.001547, -0.450926, -0.118742, -0.291701, -0.243066, 0.000000, 0.000000], [0.282913, -0.063323, -0.202166, 0.781702, 0.363385, 0.112295, -0.282604, -0.198739, 0.000000, 0.000000]]
fourier: [[14.622542, 14.730848, 15.619026, 16.966900, 100.191393], [27.897695, 31.271031, 36.891111, 37.186610, 122.498346], [16.973807, 17.226941, 17.321247, 19.537561, 103.880915], [20.522790, 24.458211, 24.611666, 25.585992, 50.683373], [23.072153, 25.507978, 30.432604, 30.821345, 101.089797], [4.185890, 4.197913, 4.198648, 4.666943, 45.905385], [32.696717, 38.052707, 42.978388, 43.775528, 181.958905], [15.821583, 17.082846, 20.212135, 20.813931, 21.466141]]
### 6
mean: [0.394959, 2.397156, 0.940605, -0.755462, -1.684305, -2.205908, 1.752083, -1.061154]
std: [0.741545, 2.067156, 1.887402, 0.400945, 0.537316, 1.721071, 2.946490, 0.418748]
pca: [[-0.137621, 0.341536, -0.511801, 0.159981, -0.241364, -0.160099, 0.574492, 0.403671, 0.000000, 0.000000], [0.465376, 0.304778, -0.012164, -0.541184, 0.487924, 0.216094, 0.113275, 0.316085, 0.000000, 0.000000], [-0.386981, 0.664900, 0.419626, 0.138921, 0.258654, 0.052054, 0.197222, -0.322893, 0.000000, 0.000000], [-0.081910, -0.142450, 0.208235, -0.092972, -0.392429, 0.818037, 0.309878, 0.042246, 0.000000, 0.000000], [-0.041275, -0.399201, 0.025480, -0.369117, 0.138063, -0.276633, 0.642769, -0.439658, 0.000000, 0.000000], [-0.378726, -0.379088, -0.134516, 0.335502, 0.667103, 0.243565, 0.082165, 0.266648, 0.000000, 0.000000], [0.675183, -0.032879, 0.180702, 0.635257, 0.084441, 0.024363, 0.291391, -0.119199, 0.000000, 0.000000], [-0.083740, -0.154693, 0.683423, -0.034966, -0.107483, -0.345448, 0.131889, 0.593705, 0.000000, 0.000000]]
fourier: [[11.875096, 12.144614, 12.428953, 14.148378, 35.546297], [34.582233, 37.903783, 44.808324, 45.076689, 215.744061], [29.513688, 33.572309, 33.843451, 36.117865, 84.654468], [6.417918, 7.632090, 8.232383, 8.396002, 67.991559], [8.602749, 9.163738, 10.180883, 11.111280, 151.587459], [28.438125, 31.793849, 36.825859, 37.471146, 198.531665], [47.725999, 51.252266, 63.166721, 63.393476, 157.687424], [6.854502, 8.243167, 8.400056, 8.823252, 95.503814]]
### 8
mean: [0.514963, 1.462705, -1.127554, -0.853124, 0.430077, 0.860894, -0.846056, -0.394928]
std: [0.341875, 2.952485, 0.378622, 0.368681, 0.878051, 0.920256, 1.914560, 1.684576]
pca: [[-0.030163, -0.488984, -0.343751, -0.253712, 0.330344, 0.575366, 0.163742, -0.332364, 0.000000, 0.000000], [0.720102, 0.058985, 0.421370, -0.091145, 0.120582, -0.101575, 0.265809, -0.443398, 0.000000, 0.000000], [-0.042641, 0.517996, 0.030630, -0.140819, 0.804938, 0.071148, -0.182645, 0.150825, 0.000000, 0.000000], [-0.049130, 0.476053, 0.047848, 0.523705, -0.205297, 0.627894, 0.150202, -0.188269, 0.000000, 0.000000], [0.213770, -0.067980, 0.341505, -0.339396, -0.148617, 0.444100, 0.161819, 0.687291, 0.000000, 0.000000], [0.213116, -0.444102, 0.265489, 0.531771, 0.216951, 0.132065, -0.570977, 0.116478, 0.000000, 0.000000], [-0.466823, 0.006918, 0.605010, -0.361967, -0.132644, 0.137675, -0.330148, -0.373396, 0.000000, 0.000000], [-0.408988, -0.246117, 0.384588, 0.322857, 0.315456, -0.160324, 0.620819, 0.096842, 0.000000, 0.000000]]
fourier: [[5.538033, 6.109247, 6.403821, 6.446607, 46.346701], [48.123370, 48.386615, 61.590734, 63.860238, 131.643483], [5.535055, 6.539816, 6.667241, 7.582694, 101.479837], [5.860576, 6.309454, 6.729718, 7.306615, 76.781151], [14.344706, 14.486146, 18.708565, 19.126960, 38.706968], [15.379020, 16.047019, 19.607272, 20.487113, 77.480504], [30.895834, 32.118790, 39.850639, 41.504666, 76.145031], [27.018765, 27.368025, 33.812900, 35.543491, 36.128376]]
### 10
mean: [-1.346543]
std: [1.851165]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.831732, 31.465224, 39.108010, 40.858658, 121.188882]]
## 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.
palindrome
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.42849, 0.140206, 0.522914, -0.170801, -0.639018], [0.534846, -0.025461, 0.171109, 0.133608, 0.99678], [-0.401365, 0.086909, 0.376821, -0.195301, -0.442443], [-0.198736, -0.062597, 0.771674, 0.10643, -0.480376], [-0.011742, -0.047555, -0.349553, -0.304785, -0.389706], [-0.720457, 0.382337, -0.283932, 0.168198, -0.654993], [0.184783, 0.097807, -0.001944, 0.252682, -0.463976], [-0.144799, -0.115408, 0.039037, -0.154855, -0.330022]], "network.0.bias": [0.370759, 0.148404, -0.402962, 0.321805, -0.071073, -0.584228, -0.012085, 0.901755], "network.2.weight": [[-0.386391, 0.576833, -0.333976, -0.029504, -0.345072, 0.148174, 0.076593, -0.805279], [0.623902, -0.321259, 0.388506, 0.179345, 0.071125, 0.464555, -0.176228, 0.850928], [-0.048691, 0.565472, -0.104509, 0.101864, 0.007862, -0.157615, -0.062898, 0.15855], [0.20739, -0.204429, 0.051925, 0.189351, 0.213248, 0.233928, 0.119609, 0.34336], [0.166096, 0.514314, 0.128123, -0.22566, -0.219828, 0.108174, 0.111046, -0.158615], [0.360775, 0.087908, -0.186037, 0.25337, 0.064744, 0.353118, -0.179906, 0.235409], [0.117877, -0.106791, -0.026543, 0.020564, -0.23488, 0.179003, 0.135847, 0.534024], [-0.19669, -0.599024, 0.160749, -0.053101, 0.161729, 0.385439, 0.142218, -0.126331]], "network.2.bias": [0.149276, 0.242886, -0.371512, -0.169255, -0.123383, 0.506029, -0.151275, -0.457515], "network.4.weight": [[-0.109204, 0.500064, -0.073582, 0.434515, 0.12029, 0.266349, -0.044862, 0.415239], [0.446788, -0.321708, 0.232812, 0.306288, 0.468161, 0.127098, 0.133122, -0.123545], [-0.379122, 0.54845, 0.223296, 0.133916, 0.01152, 0.427264, -0.085662, 0.146587], [-0.347976, 0.531552, -0.092395, 0.003632, -0.055528, 0.425575, 0.282963, 0.188085], [0.294588, -0.266906, 0.380646, 0.200567, 0.261791, -0.053129, 0.079834, 0.38963], [-0.238999, -0.196475, -0.068372, -0.000887, 0.102691, 0.093416, -0.298596, -0.294347], [0.529629, -0.27372, 0.555762, 0.046982, 0.238096, 0.408883, 0.02604, 0.012084], [0.222604, -0.000472, 0.230264, -0.335548, 0.148513, -0.294163, -0.172353, 0.180181]], "network.4.bias": [0.358114, -0.091753, 0.384553, 0.207282, 0.157598, -0.1209, 0.00752, -0.485623], "network.6.weight": [[0.263396, -0.132284, 0.247956, 0.149275, -0.109824, -0.197307, 0.152602, -0.123023], [0.025942, 0.712953, -0.048372, 0.170287, 0.469037, 0.220855, 0.180021, -0.035342], [0.445706, -0.313197, 0.420708, 0.531422, 0.047078, 0.080377, -0.128816, 0.02794], [0.029505, -0.17135, -0.16346, -0.018536, -0.030312, 0.308413, -0.076652, -0.014305], [-0.339983, 0.184869, -0.009186, -0.251138, -0.159968, -0.236481, -0.309853, -0.121336], [-0.547196, -0.24674, 0.10994, 0.098518, -0.587616, -0.276717, -0.24402, -0.292424], [0.037255, 0.309052, -0.514584, -0.171476, 0.320138, -0.098607, 0.623728, 0.517459], [0.050708, -0.137389, -0.056916, -0.173392, 0.064241, 0.059436, -0.261941, 0.268679]], "network.6.bias": [-0.265734, 0.360904, 0.13764, -0.145377, -0.485145, -0.17905, 0.209332, -0.339989], "network.8.weight": [[0.160635, 0.118135, 0.213375, 0.093471, 0.213999, -0.253141, -0.005632, -0.108618], [-0.188012, 0.183079, -0.624641, 0.019902, -0.126431, 0.276354, 0.676944, -0.084664], [-0.090147, -0.012061, -0.201928, 0.007713, -0.460296, -0.197073, -0.17374, -0.027521], [-0.261715, 0.030465, -0.100151, 0.298573, 0.028757, -0.273202, -0.20083, 0.279823], [0.101529, -0.107647, -0.196146, 0.135555, 0.18564, 0.045452, 0.35076, 0.135506], [-0.051047, -0.016928, 0.070073, 0.094397, -0.178824, -0.466116, 0.378814, -0.000829], [0.404111, -0.666626, 0.297761, -0.081077, 0.170149, 0.085837, -0.014391, -0.294236], [0.216603, -0.462511, 0.449833, 0.271506, 0.265976, 0.08706, -0.041539, -0.067329]], "network.8.bias": [-0.115055, 0.521214, -0.428865, -0.245452, 0.161338, 0.047477, 0.190532, 0.106107], "network.10.weight": [[0.214686, -0.557561, 0.013992, -0.042002, -0.173717, -0.184105, 0.196235, 0.23703]], "network.10.bias": [-0.288239]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6846486032009125, "train_acc": 0.565, "val_loss": 0.6855158805847168, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6748698055744171, "train_acc": 0.6, "val_loss": 0.6509248614311218, "val_acc": 0.66}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.649857223033905, "train_acc": 0.66, "val_loss": 0.6024944186210632, "val_acc": 0.7}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6018662750720978, "train_acc": 0.67, "val_loss": 0.5628049373626709, "val_acc": 0.7}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5170398950576782, "train_acc": 0.72, "val_loss": 0.45316582918167114, "val_acc": 0.76}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.4190882295370102, "train_acc": 0.83, "val_loss": 0.4582819640636444, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.588128536939621, "train_acc": 0.825, "val_loss": 0.5134096741676331, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3908688575029373, "train_acc": 0.855, "val_loss": 0.4069276452064514, "val_acc": 0.76}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.37844495475292206, "train_acc": 0.845, "val_loss": 0.3979867696762085, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.37371282279491425, "train_acc": 0.865, "val_loss": 0.40378203988075256, "val_acc": 0.8}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.3674122095108032, "train_acc": 0.85, "val_loss": 0.3945758044719696, "val_acc": 0.8}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.33737002313137054, "train_acc": 0.845, "val_loss": 0.37969112396240234, "val_acc": 0.8}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6855158805847168, "final_val_loss": 0.6509248614311218, "initial_val_acc": 0.56, "final_val_acc": 0.66, "best_val_acc": 0.66}, "improved_stage": {"initial_val_loss": 0.6024944186210632, "final_val_loss": 0.37969112396240234, "initial_val_acc": 0.7, "final_val_acc": 0.8, "best_val_acc": 0.84, "best_epoch": 8}, "improvement": 0.17999999999999994, "first_improvement_epoch": 1}}
|
9,483
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.56, "improved_accuracy": 0.76, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9378, "learning_rate": 0.06979564889640082, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "starts_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["starts_with"], "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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.0655
],
[
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[
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],
[
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],
[
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0.000441,
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],
[
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0.179736
],
[
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],
"network.0.bias": [
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"network.2.weight": [
[
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[
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[
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],
[
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[
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"network.2.bias": [
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"network.4.weight": [
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"network.6.weight": [
[
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"network.6.bias": [
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"network.8.weight": [
[
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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [3.078051, 0.757199, -2.209493, 0.432769, -1.797361, -1.982341, -0.008579]
std: [2.894782, 1.771116, 1.628501, 1.805718, 1.522799, 1.978835, 2.009273]
pca: [[0.718603, 0.229488, 0.081099, 0.107037, 0.066916, 0.623671, 0.139531, 0.000000, 0.000000, 0.000000], [-0.307093, 0.524222, 0.124291, 0.137124, -0.102172, -0.038862, 0.764647, 0.000000, 0.000000, 0.000000], [-0.337647, -0.334610, -0.182070, 0.129010, 0.726085, 0.387257, 0.216957, 0.000000, 0.000000, 0.000000], [0.173545, -0.096167, -0.634273, 0.695813, -0.162833, -0.202369, 0.081904, 0.000000, 0.000000, 0.000000], [-0.290720, -0.400319, -0.079698, -0.064443, -0.656367, 0.546764, 0.122287, 0.000000, 0.000000, 0.000000], [0.112842, -0.454126, 0.706243, 0.482629, -0.019062, -0.167808, 0.144233, 0.000000, 0.000000, 0.000000], [-0.384615, 0.429917, 0.193370, 0.481516, -0.013751, 0.302479, -0.553453, 0.000000, 0.000000, 0.000000]]
fourier: [[46.355211, 46.787565, 47.739838, 50.327917, 277.024563], [27.978945, 28.971981, 30.088978, 30.968204, 68.147951], [26.295597, 27.222640, 29.274125, 32.456905, 198.854410], [27.621068, 29.044609, 29.559424, 33.425050, 38.949171], [21.091576, 22.206807, 28.938159, 31.758643, 161.762456], [31.396873, 31.828022, 34.843036, 35.325082, 178.410671], [35.553131, 35.998473, 36.092775, 36.489523, 37.350152]]
### 2
mean: [-2.230386, -1.571270, 1.042352, 0.300325, 1.586894, -0.125902, 0.075739]
std: [1.380801, 1.700849, 1.430802, 1.548366, 3.032386, 0.704375, 1.286670]
pca: [[-0.276431, -0.408306, -0.540892, 0.127037, -0.047486, 0.427355, 0.513110, 0.000000, 0.000000, 0.000000], [-0.387007, -0.317000, 0.058437, 0.718228, -0.096072, -0.392861, -0.258652, 0.000000, 0.000000, 0.000000], [0.334033, 0.074231, 0.380866, 0.285182, -0.285412, -0.219111, 0.725985, 0.000000, 0.000000, 0.000000], [-0.298172, 0.571430, 0.169042, 0.297650, -0.374592, 0.562291, -0.104403, 0.000000, 0.000000, 0.000000], [0.721986, 0.010384, -0.291590, 0.496092, 0.158669, 0.259528, -0.234448, 0.000000, 0.000000, 0.000000], [-0.092124, -0.254918, 0.597897, 0.117671, 0.625164, 0.398504, 0.074609, 0.000000, 0.000000, 0.000000], [-0.208750, 0.579365, -0.296446, 0.195277, 0.592225, -0.269604, 0.267077, 0.000000, 0.000000, 0.000000]]
fourier: [[21.792844, 23.094954, 23.467894, 26.776117, 200.734725], [27.096509, 27.353982, 27.374111, 34.181037, 141.414336], [21.977558, 22.680260, 23.776036, 24.199004, 93.811671], [23.798655, 26.153767, 27.029232, 28.707237, 28.710140], [45.108803, 46.699031, 51.124925, 62.609304, 142.820437], [11.070491, 11.331162, 12.462607, 14.568727, 15.215932], [18.265225, 18.588253, 22.836264, 23.328565, 28.431496]]
### 4
mean: [1.789775, 0.367417, 1.475641, -1.879099, -1.349675, -0.380151, -0.625938]
std: [2.856613, 1.212242, 2.472425, 1.229274, 1.245032, 0.286958, 0.383876]
pca: [[0.669377, 0.193770, -0.132334, -0.381064, 0.466486, 0.256675, -0.261103, 0.000000, 0.000000, 0.000000], [-0.273299, -0.363220, 0.021509, 0.351507, 0.660203, -0.147931, -0.460008, 0.000000, 0.000000, 0.000000], [0.579931, 0.082445, 0.408120, 0.492510, -0.189124, -0.436947, -0.145136, 0.000000, 0.000000, 0.000000], [-0.235013, 0.769344, -0.382098, 0.187085, -0.060099, -0.161509, -0.377069, 0.000000, 0.000000, 0.000000], [-0.283593, 0.290408, 0.718300, -0.486268, 0.139221, -0.216028, -0.129524, 0.000000, 0.000000, 0.000000], [-0.065136, 0.020779, 0.334523, 0.240027, -0.275439, 0.758495, -0.417883, 0.000000, 0.000000, 0.000000], [-0.031991, 0.383494, 0.203970, 0.399495, 0.460320, 0.270637, 0.604624, 0.000000, 0.000000, 0.000000]]
fourier: [[42.901101, 43.752891, 50.961304, 56.255827, 161.079755], [17.676077, 20.115010, 20.359821, 26.584248, 33.067498], [36.626802, 37.654731, 45.122090, 48.743219, 132.807728], [19.169564, 19.648839, 20.554133, 23.749853, 169.118922], [19.716072, 20.138219, 20.654959, 23.368641, 121.470774], [4.810331, 4.812807, 5.091653, 5.479856, 34.213553], [6.491861, 7.086339, 7.130867, 7.821185, 56.334452]]
### 6
mean: [1.873392, -1.052514, -0.745802, -0.551943, 3.035963, -1.019837, -1.073195]
std: [2.846852, 0.310460, 0.442112, 0.215955, 4.034769, 0.344502, 1.043798]
pca: [[0.561962, -0.097065, 0.027033, 0.732193, 0.144048, -0.007048, 0.342257, 0.000000, 0.000000, 0.000000], [-0.023799, 0.547096, 0.173193, 0.008404, -0.482355, -0.558579, 0.354085, 0.000000, 0.000000, 0.000000], [-0.074237, 0.442515, -0.538810, 0.123046, 0.565135, -0.355126, -0.218452, 0.000000, 0.000000, 0.000000], [0.027211, 0.310749, 0.804727, 0.033821, 0.424687, 0.014764, -0.270903, 0.000000, 0.000000, 0.000000], [0.796392, 0.167167, -0.093889, -0.569708, 0.021459, 0.046912, -0.042079, 0.000000, 0.000000, 0.000000], [-0.028616, 0.597705, -0.149706, 0.215942, -0.262717, 0.701474, -0.108629, 0.000000, 0.000000, 0.000000], [-0.205722, 0.116977, 0.012048, -0.276296, 0.421148, 0.259501, 0.789179, 0.000000, 0.000000, 0.000000]]
fourier: [[45.632202, 45.876326, 45.890814, 52.239927, 168.605305], [4.605141, 4.989811, 5.028368, 6.375648, 94.726298], [6.845255, 6.975907, 7.272706, 9.317105, 67.122214], [2.991358, 3.782155, 3.806556, 5.291404, 49.674895], [64.092874, 64.784392, 67.710741, 73.818982, 273.236650], [5.018760, 5.562804, 5.649040, 7.279517, 91.785302], [16.619163, 16.897474, 16.900585, 19.171113, 96.587519]]
### 8
mean: [-3.322368]
std: [4.315202]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[68.269592, 69.601612, 70.472349, 79.355124, 299.013108]]
## 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.
|
starts_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
0.821559,
0.847157,
0.324002,
-0.155952,
0.0655
],
[
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0.150659,
0.603364
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[
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-0.031707,
-0.393819
],
[
-0.119461,
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0.162733,
0.11573,
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],
[
-0.157594,
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0.000441,
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[
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0.439685,
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0.179736
],
[
-1.008509,
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],
"network.0.bias": [
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"network.2.weight": [
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[
0.744528,
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0.374633,
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0.689617,
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],
[
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[
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"network.2.bias": [
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"network.4.weight": [
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"network.4.bias": [
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"network.6.weight": [
[
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[
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[
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[
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"network.8.weight": [
[
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"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [3.078051, 0.757199, -2.209493, 0.432769, -1.797361, -1.982341, -0.008579]
std: [2.894782, 1.771116, 1.628501, 1.805718, 1.522799, 1.978835, 2.009273]
pca: [[0.718603, 0.229488, 0.081099, 0.107037, 0.066916, 0.623671, 0.139531, 0.000000, 0.000000, 0.000000], [-0.307093, 0.524222, 0.124291, 0.137124, -0.102172, -0.038862, 0.764647, 0.000000, 0.000000, 0.000000], [-0.337647, -0.334610, -0.182070, 0.129010, 0.726085, 0.387257, 0.216957, 0.000000, 0.000000, 0.000000], [0.173545, -0.096167, -0.634273, 0.695813, -0.162833, -0.202369, 0.081904, 0.000000, 0.000000, 0.000000], [-0.290720, -0.400319, -0.079698, -0.064443, -0.656367, 0.546764, 0.122287, 0.000000, 0.000000, 0.000000], [0.112842, -0.454126, 0.706243, 0.482629, -0.019062, -0.167808, 0.144233, 0.000000, 0.000000, 0.000000], [-0.384615, 0.429917, 0.193370, 0.481516, -0.013751, 0.302479, -0.553453, 0.000000, 0.000000, 0.000000]]
fourier: [[46.355211, 46.787565, 47.739838, 50.327917, 277.024563], [27.978945, 28.971981, 30.088978, 30.968204, 68.147951], [26.295597, 27.222640, 29.274125, 32.456905, 198.854410], [27.621068, 29.044609, 29.559424, 33.425050, 38.949171], [21.091576, 22.206807, 28.938159, 31.758643, 161.762456], [31.396873, 31.828022, 34.843036, 35.325082, 178.410671], [35.553131, 35.998473, 36.092775, 36.489523, 37.350152]]
### 2
mean: [-2.230386, -1.571270, 1.042352, 0.300325, 1.586894, -0.125902, 0.075739]
std: [1.380801, 1.700849, 1.430802, 1.548366, 3.032386, 0.704375, 1.286670]
pca: [[-0.276431, -0.408306, -0.540892, 0.127037, -0.047486, 0.427355, 0.513110, 0.000000, 0.000000, 0.000000], [-0.387007, -0.317000, 0.058437, 0.718228, -0.096072, -0.392861, -0.258652, 0.000000, 0.000000, 0.000000], [0.334033, 0.074231, 0.380866, 0.285182, -0.285412, -0.219111, 0.725985, 0.000000, 0.000000, 0.000000], [-0.298172, 0.571430, 0.169042, 0.297650, -0.374592, 0.562291, -0.104403, 0.000000, 0.000000, 0.000000], [0.721986, 0.010384, -0.291590, 0.496092, 0.158669, 0.259528, -0.234448, 0.000000, 0.000000, 0.000000], [-0.092124, -0.254918, 0.597897, 0.117671, 0.625164, 0.398504, 0.074609, 0.000000, 0.000000, 0.000000], [-0.208750, 0.579365, -0.296446, 0.195277, 0.592225, -0.269604, 0.267077, 0.000000, 0.000000, 0.000000]]
fourier: [[21.792844, 23.094954, 23.467894, 26.776117, 200.734725], [27.096509, 27.353982, 27.374111, 34.181037, 141.414336], [21.977558, 22.680260, 23.776036, 24.199004, 93.811671], [23.798655, 26.153767, 27.029232, 28.707237, 28.710140], [45.108803, 46.699031, 51.124925, 62.609304, 142.820437], [11.070491, 11.331162, 12.462607, 14.568727, 15.215932], [18.265225, 18.588253, 22.836264, 23.328565, 28.431496]]
### 4
mean: [1.789775, 0.367417, 1.475641, -1.879099, -1.349675, -0.380151, -0.625938]
std: [2.856613, 1.212242, 2.472425, 1.229274, 1.245032, 0.286958, 0.383876]
pca: [[0.669377, 0.193770, -0.132334, -0.381064, 0.466486, 0.256675, -0.261103, 0.000000, 0.000000, 0.000000], [-0.273299, -0.363220, 0.021509, 0.351507, 0.660203, -0.147931, -0.460008, 0.000000, 0.000000, 0.000000], [0.579931, 0.082445, 0.408120, 0.492510, -0.189124, -0.436947, -0.145136, 0.000000, 0.000000, 0.000000], [-0.235013, 0.769344, -0.382098, 0.187085, -0.060099, -0.161509, -0.377069, 0.000000, 0.000000, 0.000000], [-0.283593, 0.290408, 0.718300, -0.486268, 0.139221, -0.216028, -0.129524, 0.000000, 0.000000, 0.000000], [-0.065136, 0.020779, 0.334523, 0.240027, -0.275439, 0.758495, -0.417883, 0.000000, 0.000000, 0.000000], [-0.031991, 0.383494, 0.203970, 0.399495, 0.460320, 0.270637, 0.604624, 0.000000, 0.000000, 0.000000]]
fourier: [[42.901101, 43.752891, 50.961304, 56.255827, 161.079755], [17.676077, 20.115010, 20.359821, 26.584248, 33.067498], [36.626802, 37.654731, 45.122090, 48.743219, 132.807728], [19.169564, 19.648839, 20.554133, 23.749853, 169.118922], [19.716072, 20.138219, 20.654959, 23.368641, 121.470774], [4.810331, 4.812807, 5.091653, 5.479856, 34.213553], [6.491861, 7.086339, 7.130867, 7.821185, 56.334452]]
### 6
mean: [1.873392, -1.052514, -0.745802, -0.551943, 3.035963, -1.019837, -1.073195]
std: [2.846852, 0.310460, 0.442112, 0.215955, 4.034769, 0.344502, 1.043798]
pca: [[0.561962, -0.097065, 0.027033, 0.732193, 0.144048, -0.007048, 0.342257, 0.000000, 0.000000, 0.000000], [-0.023799, 0.547096, 0.173193, 0.008404, -0.482355, -0.558579, 0.354085, 0.000000, 0.000000, 0.000000], [-0.074237, 0.442515, -0.538810, 0.123046, 0.565135, -0.355126, -0.218452, 0.000000, 0.000000, 0.000000], [0.027211, 0.310749, 0.804727, 0.033821, 0.424687, 0.014764, -0.270903, 0.000000, 0.000000, 0.000000], [0.796392, 0.167167, -0.093889, -0.569708, 0.021459, 0.046912, -0.042079, 0.000000, 0.000000, 0.000000], [-0.028616, 0.597705, -0.149706, 0.215942, -0.262717, 0.701474, -0.108629, 0.000000, 0.000000, 0.000000], [-0.205722, 0.116977, 0.012048, -0.276296, 0.421148, 0.259501, 0.789179, 0.000000, 0.000000, 0.000000]]
fourier: [[45.632202, 45.876326, 45.890814, 52.239927, 168.605305], [4.605141, 4.989811, 5.028368, 6.375648, 94.726298], [6.845255, 6.975907, 7.272706, 9.317105, 67.122214], [2.991358, 3.782155, 3.806556, 5.291404, 49.674895], [64.092874, 64.784392, 67.710741, 73.818982, 273.236650], [5.018760, 5.562804, 5.649040, 7.279517, 91.785302], [16.619163, 16.897474, 16.900585, 19.171113, 96.587519]]
### 8
mean: [-3.322368]
std: [4.315202]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[68.269592, 69.601612, 70.472349, 79.355124, 299.013108]]
## 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.
starts_with
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 3.0780508518218994, "std": 2.8947815895080566, "pca": [0.7186025977134705, 0.22948777675628662, 0.08109892159700394, 0.10703675448894501, 0.06691627204418182, 0.6236706376075745, 0.13953126966953278, 0.0, 0.0, 0.0], "fourier": [46.35521129228977, 46.78756511363846, 47.739838183307015, 50.32791665936577, 277.02456337213516]}, "1": {"mean": 0.7571994066238403, "std": 1.7711155414581299, "pca": [-0.30709266662597656, 0.5242223739624023, 0.1242908462882042, 0.13712406158447266, -0.10217209905385971, -0.03886241093277931, 0.764646589756012, 0.0, 0.0, 0.0], "fourier": [27.97894455222297, 28.97198145106725, 30.088977710567416, 30.96820440473338, 68.14795082807541]}, "2": {"mean": -2.209493398666382, "std": 1.6285011768341064, "pca": [-0.33764737844467163, -0.33461013436317444, -0.18206951022148132, 0.1290096640586853, 0.7260847091674805, 0.38725706934928894, 0.21695731580257416, 0.0, 0.0, 0.0], "fourier": [26.295596611284253, 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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.821559, 0.847157, 0.324002, -0.155952, 0.0655], [-0.746738, -0.012134, 0.148926, 0.150659, 0.603364], [-0.404889, -0.398267, -0.094681, -0.031707, -0.393819], [-0.119461, 0.63267, 0.162733, 0.11573, -0.709507], [-0.157594, -0.404269, -0.397612, 0.000441, -0.278959], [0.104654, 0.439685, -0.38533, -0.967159, 0.179736], [-1.008509, 0.159576, 0.086133, -0.07842, 0.575942]], "network.0.bias": [0.088802, 0.330266, -0.22842, -0.284483, 0.309096, -0.256524, 0.23359], "network.2.weight": [[-0.474995, -0.109011, -0.119784, -0.092878, 0.294377, 0.082916, -0.102839], [-0.55294, 0.332044, -0.06968, 0.030992, 0.204058, 0.366226, -0.025091], [0.373655, -0.028185, -0.080793, 0.366223, 0.090136, 0.306419, -0.237138], [-0.014425, 0.787105, -0.23615, -0.655238, 0.300568, -0.389502, 0.239036], [0.744528, -0.62332, 0.129545, 0.374633, 0.36495, 0.689617, -0.585966], [-0.227443, 0.008104, -0.150847, 0.459081, 0.319382, 0.297988, 0.224055], [0.072841, 0.365867, 0.257906, -0.842555, -0.26432, -0.267727, 0.334354]], "network.2.bias": [-0.494713, -0.281035, -0.273284, -0.104758, 0.00329, -0.040651, -0.005363], "network.4.weight": [[-0.012818, 0.111407, 0.621872, -0.447164, 0.619101, 0.281162, -0.465706], [-0.087488, -0.195605, -0.245239, 0.619901, -0.180509, -0.14572, -0.055986], [0.301772, -0.328645, 0.086572, -0.323694, 0.788821, 0.29519, -0.348021], [-0.003435, 0.120024, -0.323835, -0.285515, -0.350321, 0.138945, -0.243444], [-0.225336, -0.562868, -0.060961, -0.090934, -0.448873, -0.538684, 0.231658], [0.242338, -0.003709, -0.107101, -0.034645, -0.04645, -0.23067, 0.110325], [0.166762, -0.227954, -0.186331, -0.020604, -0.027342, -0.106729, -0.353261]], "network.4.bias": [0.338521, 0.637343, 0.162996, -0.520726, -0.315803, -0.154011, -0.137474], "network.6.weight": [[0.632923, -0.057782, 0.564224, -0.190172, -0.019341, 0.026244, 0.324473], [-0.193085, -0.456232, 0.051586, -0.363251, 0.001564, -0.168761, -0.12724], [0.002568, -0.335814, -0.259298, 0.030038, 0.34857, 0.288018, -0.343409], [-0.293126, -0.289645, 0.326228, 0.208804, 0.08918, 0.02785, -0.369455], [0.878015, -0.33262, 0.758457, 0.023851, 0.297211, 0.036388, -0.142952], [-0.104209, -0.487963, -0.069321, -0.149338, 0.042563, -0.213027, 0.351519], [-0.255321, -0.04753, -0.196711, -0.007371, -0.266221, 0.178683, 0.280102]], "network.6.bias": [-0.40698, -0.416834, -0.063618, -0.301512, 0.091234, -0.338167, -0.157813], "network.8.weight": [[-0.486318, -0.088735, -0.29775, 0.356445, -0.763674, 0.002616, 0.068695]], "network.8.bias": [0.087465]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.686194121837616, "train_acc": 0.575, "val_loss": 0.6821581125259399, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6775438785552979, "train_acc": 0.575, "val_loss": 0.6557334661483765, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6427089273929596, "train_acc": 0.575, "val_loss": 0.5991332530975342, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6024233400821686, "train_acc": 0.485, "val_loss": 0.5320286750793457, "val_acc": 0.56}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5475834310054779, "train_acc": 0.575, "val_loss": 0.4748048484325409, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5484959781169891, "train_acc": 0.735, "val_loss": 0.5103691220283508, "val_acc": 0.7}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5202164947986603, "train_acc": 0.74, "val_loss": 0.5290088653564453, "val_acc": 0.68}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.5382424592971802, "train_acc": 0.705, "val_loss": 0.5283870697021484, "val_acc": 0.68}], "summary": {"total_epochs": 8, "degraded_epochs": 3, "improved_epochs": 5, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.6821581125259399, "final_val_loss": 0.5991332530975342, "initial_val_acc": 0.56, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.5320286750793457, "final_val_loss": 0.5283870697021484, "initial_val_acc": 0.56, "final_val_acc": 0.68, "best_val_acc": 0.76, "best_epoch": 4}, "improvement": 0.19999999999999996, "first_improvement_epoch": 2}}
|
9,484
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.5, "improved_accuracy": 0.9, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3968, "learning_rate": 0.09971285263105442, "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: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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"network.2.bias": [
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"network.4.weight": [
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[
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[
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1.224978,
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],
[
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]
],
"network.4.bias": [
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0.52936,
0.424046
],
"network.6.weight": [
[
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],
[
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],
[
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[
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[
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],
"network.6.bias": [
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"network.8.weight": [
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],
[
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[
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[
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[
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],
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],
"network.10.bias": [
0.747805
]
}
## Activation Signature
### 0
mean: [-3.350782, -2.907489, 0.399507, -4.822849, 0.973647, -3.881373]
std: [2.227359, 1.925737, 2.464524, 2.830267, 2.180998, 2.196578]
pca: [[0.434107, -0.249787, -0.351521, 0.586824, -0.526905, -0.059992, 0.000000, 0.000000, 0.000000, 0.000000], [0.377239, -0.225775, -0.285454, -0.495154, -0.022039, 0.692509, 0.000000, 0.000000, 0.000000, 0.000000], [-0.297554, -0.616803, 0.594317, 0.185493, -0.180551, 0.332860, 0.000000, 0.000000, 0.000000, 0.000000], [0.613845, 0.060255, 0.383482, 0.340036, 0.588063, 0.105176, 0.000000, 0.000000, 0.000000, 0.000000], [0.059745, 0.692304, 0.364782, 0.074682, -0.482606, 0.381567, 0.000000, 0.000000, 0.000000, 0.000000], [0.447580, -0.152544, 0.402009, -0.504827, -0.332506, -0.499381, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[33.996210, 35.803088, 37.806833, 46.598183, 301.570399], [30.315822, 36.273826, 37.011335, 38.526103, 261.673987], [35.955607, 36.559274, 37.487602, 40.580079, 44.644758], [45.432589, 46.785813, 55.420034, 56.575522, 434.056409], [30.982567, 32.825244, 36.868206, 43.990177, 87.628204], [34.300986, 35.240357, 42.720905, 44.935874, 349.323520]]
### 2
mean: [0.612691, -0.266114, 0.039531, 0.558148, 0.370121, 0.877332]
std: [0.369579, 0.142425, 0.793217, 1.068428, 1.866734, 1.434170]
pca: [[0.105179, -0.324328, 0.719337, -0.022105, -0.505201, -0.332546, 0.000000, 0.000000, 0.000000, 0.000000], [-0.013547, -0.182144, -0.103933, 0.969534, -0.112910, 0.055623, 0.000000, 0.000000, 0.000000, 0.000000], [-0.286395, 0.333021, 0.597377, 0.201842, 0.632447, -0.097401, 0.000000, 0.000000, 0.000000, 0.000000], [0.405605, -0.110988, 0.327935, -0.020389, 0.068684, 0.842906, 0.000000, 0.000000, 0.000000, 0.000000], [0.684418, 0.666259, 0.008274, 0.134081, -0.127112, -0.231230, 0.000000, 0.000000, 0.000000, 0.000000], [-0.523248, 0.542691, 0.085344, 0.019554, -0.557816, 0.335967, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.543036, 6.839276, 7.257261, 8.262974, 55.142212], [2.197489, 2.537972, 2.813645, 3.037818, 23.950271], [12.319641, 12.709380, 14.452038, 14.888194, 14.955221], [17.342365, 17.475180, 18.360202, 18.815177, 50.233284], [28.600521, 28.777930, 29.506501, 31.948354, 33.310918], [23.077489, 26.013836, 26.312194, 26.889779, 78.959862]]
### 4
mean: [-0.747034, 0.105171, 1.731015, -0.366592, 2.488563, 1.118277]
std: [0.181379, 1.793511, 1.756401, 0.542588, 2.451397, 2.050854]
pca: [[0.025330, -0.271117, 0.430494, 0.179464, 0.831387, 0.130833, 0.000000, 0.000000, 0.000000, 0.000000], [-0.429100, 0.802055, 0.021802, 0.357786, 0.197381, -0.071662, 0.000000, 0.000000, 0.000000, 0.000000], [0.431270, -0.098761, 0.101143, 0.746338, -0.188166, -0.448994, 0.000000, 0.000000, 0.000000, 0.000000], [0.130326, 0.152597, 0.639039, 0.121882, -0.407223, 0.608829, 0.000000, 0.000000, 0.000000, 0.000000], [0.601071, 0.271887, -0.514838, 0.107855, 0.237938, 0.481130, 0.000000, 0.000000, 0.000000, 0.000000], [0.500966, 0.419811, 0.361305, -0.506234, 0.109472, -0.417125, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.028024, 3.160365, 3.500233, 4.120025, 67.233082], [28.895309, 30.082350, 30.408510, 30.828470, 33.753431], [26.967019, 27.703604, 31.801369, 33.378695, 155.791351], [7.996084, 8.092455, 8.839107, 10.646096, 32.993301], [36.663858, 39.313372, 42.784862, 48.853839, 223.970630], [30.163284, 32.579370, 34.661526, 41.234667, 100.644971]]
### 6
mean: [-0.658864, -0.804493, -0.869783, 5.160891, -3.028394, 5.400650]
std: [0.218092, 1.060295, 1.808320, 3.942743, 2.445783, 5.071394]
pca: [[-0.029625, -0.045246, -0.488386, -0.208009, 0.495092, 0.685690, 0.000000, 0.000000, 0.000000, 0.000000], [-0.146409, 0.230202, 0.756775, -0.344474, 0.473121, 0.101772, 0.000000, 0.000000, 0.000000, 0.000000], [-0.246004, 0.653812, -0.006471, 0.688046, 0.078328, 0.180073, 0.000000, 0.000000, 0.000000, 0.000000], [0.547763, 0.631583, -0.271213, -0.337730, 0.117981, -0.315470, 0.000000, 0.000000, 0.000000, 0.000000], [-0.341159, -0.171574, -0.259492, 0.130137, 0.621056, -0.619831, 0.000000, 0.000000, 0.000000, 0.000000], [0.707626, -0.298587, 0.218718, 0.483390, 0.353942, 0.057734, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.063067, 3.113361, 3.117080, 4.978595, 59.297774], [15.769490, 17.832666, 19.136326, 20.844040, 72.404391], [28.337601, 28.384609, 33.479571, 34.405527, 78.280492], [54.399596, 62.313806, 67.219894, 86.893886, 464.480164], [33.365326, 39.826672, 41.010976, 53.186531, 272.555423], [72.596323, 83.899941, 86.421377, 106.927823, 486.058486]]
### 8
mean: [-4.772397, -2.658994, -2.283988, 9.528726, -4.108902, -5.127501]
std: [2.697817, 1.807365, 1.165231, 7.241722, 2.004040, 3.542640]
pca: [[-0.298894, 0.513128, -0.231702, 0.703074, 0.314217, 0.025117, 0.000000, 0.000000, 0.000000, 0.000000], [-0.201247, 0.050977, 0.458917, -0.278553, 0.647025, 0.500063, 0.000000, 0.000000, 0.000000, 0.000000], [-0.128503, 0.303479, -0.180973, -0.114935, -0.552833, 0.734712, 0.000000, 0.000000, 0.000000, 0.000000], [0.806202, 0.375735, 0.393814, 0.211170, -0.035907, 0.088826, 0.000000, 0.000000, 0.000000, 0.000000], [-0.219316, 0.695215, 0.141764, -0.495152, -0.096263, -0.440497, 0.000000, 0.000000, 0.000000, 0.000000], [-0.394446, -0.132290, 0.726479, 0.353719, -0.407977, -0.087049, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[38.401225, 39.879779, 44.487003, 61.858472, 429.515707], [26.192813, 27.441205, 30.026995, 40.622756, 239.309486], [16.160636, 17.342210, 19.094399, 26.839755, 205.558894], [102.535323, 112.775308, 121.559269, 161.098506, 857.585290], [26.809228, 30.249633, 32.313337, 46.293027, 369.801229], [50.632383, 54.971617, 58.926684, 79.108476, 461.475046]]
### 10
mean: [-7.620374]
std: [6.087826]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[86.972308, 93.227322, 101.606016, 136.784588, 685.833657]]
## 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: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.463152,
0.03166,
-0.608114,
-0.539179,
-0.283497
],
[
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-0.074858,
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],
[
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-0.135527
],
[
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],
[
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],
[
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-0.330352
]
],
"network.0.bias": [
-0.05594,
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-0.413616,
-0.699314,
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-0.823956
],
"network.2.weight": [
[
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],
[
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],
[
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[
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[
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[
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]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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],
[
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-0.129892,
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0.882536
],
[
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-0.982595,
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0.49465,
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],
[
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-0.446096,
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],
[
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1.224978,
0.85345,
-0.370317
],
[
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]
],
"network.4.bias": [
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0.473097,
-0.245784,
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0.424046
],
"network.6.weight": [
[
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],
[
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0.107154
],
[
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[
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[
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-0.584091
],
[
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0.907338,
0.272889,
0.950449,
0.910854
]
],
"network.6.bias": [
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0.115701,
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0.089186
],
"network.8.weight": [
[
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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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-0.016574,
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]
],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [-3.350782, -2.907489, 0.399507, -4.822849, 0.973647, -3.881373]
std: [2.227359, 1.925737, 2.464524, 2.830267, 2.180998, 2.196578]
pca: [[0.434107, -0.249787, -0.351521, 0.586824, -0.526905, -0.059992, 0.000000, 0.000000, 0.000000, 0.000000], [0.377239, -0.225775, -0.285454, -0.495154, -0.022039, 0.692509, 0.000000, 0.000000, 0.000000, 0.000000], [-0.297554, -0.616803, 0.594317, 0.185493, -0.180551, 0.332860, 0.000000, 0.000000, 0.000000, 0.000000], [0.613845, 0.060255, 0.383482, 0.340036, 0.588063, 0.105176, 0.000000, 0.000000, 0.000000, 0.000000], [0.059745, 0.692304, 0.364782, 0.074682, -0.482606, 0.381567, 0.000000, 0.000000, 0.000000, 0.000000], [0.447580, -0.152544, 0.402009, -0.504827, -0.332506, -0.499381, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[33.996210, 35.803088, 37.806833, 46.598183, 301.570399], [30.315822, 36.273826, 37.011335, 38.526103, 261.673987], [35.955607, 36.559274, 37.487602, 40.580079, 44.644758], [45.432589, 46.785813, 55.420034, 56.575522, 434.056409], [30.982567, 32.825244, 36.868206, 43.990177, 87.628204], [34.300986, 35.240357, 42.720905, 44.935874, 349.323520]]
### 2
mean: [0.612691, -0.266114, 0.039531, 0.558148, 0.370121, 0.877332]
std: [0.369579, 0.142425, 0.793217, 1.068428, 1.866734, 1.434170]
pca: [[0.105179, -0.324328, 0.719337, -0.022105, -0.505201, -0.332546, 0.000000, 0.000000, 0.000000, 0.000000], [-0.013547, -0.182144, -0.103933, 0.969534, -0.112910, 0.055623, 0.000000, 0.000000, 0.000000, 0.000000], [-0.286395, 0.333021, 0.597377, 0.201842, 0.632447, -0.097401, 0.000000, 0.000000, 0.000000, 0.000000], [0.405605, -0.110988, 0.327935, -0.020389, 0.068684, 0.842906, 0.000000, 0.000000, 0.000000, 0.000000], [0.684418, 0.666259, 0.008274, 0.134081, -0.127112, -0.231230, 0.000000, 0.000000, 0.000000, 0.000000], [-0.523248, 0.542691, 0.085344, 0.019554, -0.557816, 0.335967, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.543036, 6.839276, 7.257261, 8.262974, 55.142212], [2.197489, 2.537972, 2.813645, 3.037818, 23.950271], [12.319641, 12.709380, 14.452038, 14.888194, 14.955221], [17.342365, 17.475180, 18.360202, 18.815177, 50.233284], [28.600521, 28.777930, 29.506501, 31.948354, 33.310918], [23.077489, 26.013836, 26.312194, 26.889779, 78.959862]]
### 4
mean: [-0.747034, 0.105171, 1.731015, -0.366592, 2.488563, 1.118277]
std: [0.181379, 1.793511, 1.756401, 0.542588, 2.451397, 2.050854]
pca: [[0.025330, -0.271117, 0.430494, 0.179464, 0.831387, 0.130833, 0.000000, 0.000000, 0.000000, 0.000000], [-0.429100, 0.802055, 0.021802, 0.357786, 0.197381, -0.071662, 0.000000, 0.000000, 0.000000, 0.000000], [0.431270, -0.098761, 0.101143, 0.746338, -0.188166, -0.448994, 0.000000, 0.000000, 0.000000, 0.000000], [0.130326, 0.152597, 0.639039, 0.121882, -0.407223, 0.608829, 0.000000, 0.000000, 0.000000, 0.000000], [0.601071, 0.271887, -0.514838, 0.107855, 0.237938, 0.481130, 0.000000, 0.000000, 0.000000, 0.000000], [0.500966, 0.419811, 0.361305, -0.506234, 0.109472, -0.417125, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.028024, 3.160365, 3.500233, 4.120025, 67.233082], [28.895309, 30.082350, 30.408510, 30.828470, 33.753431], [26.967019, 27.703604, 31.801369, 33.378695, 155.791351], [7.996084, 8.092455, 8.839107, 10.646096, 32.993301], [36.663858, 39.313372, 42.784862, 48.853839, 223.970630], [30.163284, 32.579370, 34.661526, 41.234667, 100.644971]]
### 6
mean: [-0.658864, -0.804493, -0.869783, 5.160891, -3.028394, 5.400650]
std: [0.218092, 1.060295, 1.808320, 3.942743, 2.445783, 5.071394]
pca: [[-0.029625, -0.045246, -0.488386, -0.208009, 0.495092, 0.685690, 0.000000, 0.000000, 0.000000, 0.000000], [-0.146409, 0.230202, 0.756775, -0.344474, 0.473121, 0.101772, 0.000000, 0.000000, 0.000000, 0.000000], [-0.246004, 0.653812, -0.006471, 0.688046, 0.078328, 0.180073, 0.000000, 0.000000, 0.000000, 0.000000], [0.547763, 0.631583, -0.271213, -0.337730, 0.117981, -0.315470, 0.000000, 0.000000, 0.000000, 0.000000], [-0.341159, -0.171574, -0.259492, 0.130137, 0.621056, -0.619831, 0.000000, 0.000000, 0.000000, 0.000000], [0.707626, -0.298587, 0.218718, 0.483390, 0.353942, 0.057734, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.063067, 3.113361, 3.117080, 4.978595, 59.297774], [15.769490, 17.832666, 19.136326, 20.844040, 72.404391], [28.337601, 28.384609, 33.479571, 34.405527, 78.280492], [54.399596, 62.313806, 67.219894, 86.893886, 464.480164], [33.365326, 39.826672, 41.010976, 53.186531, 272.555423], [72.596323, 83.899941, 86.421377, 106.927823, 486.058486]]
### 8
mean: [-4.772397, -2.658994, -2.283988, 9.528726, -4.108902, -5.127501]
std: [2.697817, 1.807365, 1.165231, 7.241722, 2.004040, 3.542640]
pca: [[-0.298894, 0.513128, -0.231702, 0.703074, 0.314217, 0.025117, 0.000000, 0.000000, 0.000000, 0.000000], [-0.201247, 0.050977, 0.458917, -0.278553, 0.647025, 0.500063, 0.000000, 0.000000, 0.000000, 0.000000], [-0.128503, 0.303479, -0.180973, -0.114935, -0.552833, 0.734712, 0.000000, 0.000000, 0.000000, 0.000000], [0.806202, 0.375735, 0.393814, 0.211170, -0.035907, 0.088826, 0.000000, 0.000000, 0.000000, 0.000000], [-0.219316, 0.695215, 0.141764, -0.495152, -0.096263, -0.440497, 0.000000, 0.000000, 0.000000, 0.000000], [-0.394446, -0.132290, 0.726479, 0.353719, -0.407977, -0.087049, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[38.401225, 39.879779, 44.487003, 61.858472, 429.515707], [26.192813, 27.441205, 30.026995, 40.622756, 239.309486], [16.160636, 17.342210, 19.094399, 26.839755, 205.558894], [102.535323, 112.775308, 121.559269, 161.098506, 857.585290], [26.809228, 30.249633, 32.313337, 46.293027, 369.801229], [50.632383, 54.971617, 58.926684, 79.108476, 461.475046]]
### 10
mean: [-7.620374]
std: [6.087826]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[86.972308, 93.227322, 101.606016, 136.784588, 685.833657]]
## 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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"fourier": [26.809227686681922, 30.249632780154748, 32.313336551045786, 46.293027259373154, 369.80122900009155]}, "5": {"mean": -5.127500534057617, "std": 3.54263973236084, "pca": [-0.39444634318351746, -0.13229027390480042, 0.7264789342880249, 0.35371872782707214, -0.40797701478004456, -0.08704899251461029, 0.0, 0.0, 0.0, 0.0], "fourier": [50.632383126070955, 54.971616941729195, 58.92668446878184, 79.1084763769007, 461.47504636645317]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "10": {"neuron_profiles": {"0": {"mean": -7.6203742027282715, "std": 6.087825775146484, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [86.97230770143629, 93.22732203562896, 101.60601566026874, 136.78458818915487, 685.8336568176746]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.463152, 0.03166, -0.608114, -0.539179, -0.283497], [-0.346266, -0.243188, -0.074858, -0.36226, -0.622428], [0.852424, 0.689349, -0.138713, -0.488197, -0.135527], [-0.249632, -0.947919, -0.500849, -0.462157, -0.039142], [-0.299447, -0.716166, 0.265195, 0.345369, 0.781743], [-0.137731, -0.628414, -0.02607, -0.596432, -0.330352]], "network.0.bias": [-0.05594, -0.332561, -0.413616, -0.699314, 0.392569, -0.823956], "network.2.weight": [[0.007037, -0.13902, -0.203141, 0.28526, -0.097661, 0.618052], [0.304083, -0.262177, -0.027934, -0.243363, -0.092225, -0.240251], [0.054706, 0.039015, 0.420233, -0.496054, 0.008451, -0.008657], [0.117388, -0.145524, -0.508018, -0.419736, 0.156831, 0.487256], [-0.387509, 0.079073, -0.651011, -0.152757, 0.66413, 0.31552], [0.127767, -0.061304, 0.751887, -0.00883, -0.015329, -0.404748]], "network.2.bias": [0.975568, -0.103458, -0.434135, 0.891715, 0.134801, 0.073416], "network.4.weight": [[-0.269314, -0.190918, -0.339919, 0.11425, -0.162691, -0.023972], [-0.749074, 0.267913, -0.129892, -0.728818, -0.112277, 0.882536], [0.863593, -0.36725, -0.982595, 0.835129, 0.49465, -0.134702], [-0.119821, -0.285633, -0.446096, -0.077445, 0.270747, -0.097597], [1.123797, 0.240071, -0.705543, 1.224978, 0.85345, -0.370317], [0.23648, 0.280379, -0.490411, 0.561195, 0.815642, -0.58432]], "network.4.bias": [-0.389963, 0.55366, 0.473097, -0.245784, 0.52936, 0.424046], "network.6.weight": [[0.098659, 0.063462, 0.16932, -0.273005, -0.103221, -0.104741], [0.046326, 0.156227, -0.35043, 0.255394, -0.312666, 0.107154], [-0.182057, 0.64815, -0.293164, 0.170343, -0.178674, -0.25353], [0.603522, -0.063939, 0.742433, -0.100061, 0.907512, 0.975297], [-0.160527, 0.238658, -0.251185, -0.134686, -0.588752, -0.584091], [-0.074239, -0.837392, 0.907338, 0.272889, 0.950449, 0.910854]], "network.6.bias": [-0.574402, 0.474172, 0.115701, -0.376523, -0.114979, 0.089186], "network.8.weight": [[0.233022, -0.598261, -0.207362, -0.346828, -0.196216, -0.407802], [0.167871, -0.075507, -0.006785, -0.106753, -0.215098, -0.347161], [0.159566, -0.079744, -0.314179, -0.091259, 0.152475, -0.240716], [0.080059, -0.374179, 0.206938, 0.898999, -0.397984, 0.896959], [0.123521, -0.26368, -0.532349, -0.065429, -0.056947, -0.513491], [-0.03495, -0.307919, 0.123235, -0.213652, -0.057523, -0.650028]], "network.8.bias": [-0.259536, 0.016918, -0.21737, -0.514918, -0.379507, -0.122387], "network.10.weight": [[0.119479, -0.088478, -0.016574, -0.864937, 0.053446, 0.08738]], "network.10.bias": [0.747805]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.689166933298111, "train_acc": 0.52, "val_loss": 0.708696722984314, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6510414481163025, "train_acc": 0.58, "val_loss": 0.6309387683868408, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5646634101867676, "train_acc": 0.5, "val_loss": 0.48108723759651184, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4868706911802292, "train_acc": 0.835, "val_loss": 0.4410697817802429, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5001720041036606, "train_acc": 0.76, "val_loss": 0.4140438437461853, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.49222779273986816, "train_acc": 0.76, "val_loss": 0.3637515902519226, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.37745967507362366, "train_acc": 0.835, "val_loss": 0.3376725912094116, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.31308452785015106, "train_acc": 0.9, "val_loss": 0.545030951499939, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.4371083527803421, "train_acc": 0.905, "val_loss": 0.3530071973800659, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.2710984945297241, "train_acc": 0.905, "val_loss": 0.2883468568325043, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.3275679796934128, "train_acc": 0.875, "val_loss": 0.31152012944221497, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.37547774612903595, "train_acc": 0.84, "val_loss": 0.29654625058174133, "val_acc": 0.88}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.708696722984314, "final_val_loss": 0.6309387683868408, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.48108723759651184, "final_val_loss": 0.29654625058174133, "initial_val_acc": 0.86, "final_val_acc": 0.88, "best_val_acc": 0.9, "best_epoch": 6}, "improvement": 0.4, "first_improvement_epoch": 1}}
|
9,485
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.46, "improved_accuracy": 0.8, "improvement": 0.34, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9258, "learning_rate": 0.024819807277658503, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "mountain_pattern", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["mountain_pattern"], "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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0.421325
],
[
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0.52432
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[
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0.080844,
0.027304,
0.54022
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[
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0.464187,
0.044682,
0.168215,
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],
[
0.567952,
0.513432,
0.028007,
-0.038686,
-0.07073
],
[
0.636056,
0.595563,
0.110271,
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-0.308268
]
],
"network.0.bias": [
-0.243474,
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-0.201847,
0.400812
],
"network.2.weight": [
[
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-0.120117,
0.349919
],
[
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0.348814,
-0.279471,
-0.21547,
0.019741,
0.414336
],
[
0.218185,
0.637254,
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0.191843,
0.493034,
0.579509
],
[
0.089178,
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-0.281988,
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-0.178684,
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],
[
0.584156,
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0.075598,
0.25342,
0.182577,
0.544225
],
[
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-0.232076
]
],
"network.2.bias": [
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0.327397,
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0.415647
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"network.4.weight": [
[
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[
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0.01565,
0.609651,
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[
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],
[
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0.63849,
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[
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0.077054,
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[
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],
"network.4.bias": [
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"network.6.weight": [
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[
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[
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[
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[
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"network.6.bias": [
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"network.8.weight": [
[
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[
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[
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[
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[
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],
"network.8.bias": [
0.021059,
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"network.10.weight": [
[
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],
[
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0.332899,
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],
[
0.395472,
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],
[
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0.399944
],
[
0.169302,
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[
0.079112,
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],
"network.10.bias": [
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],
"network.12.weight": [
[
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]
],
"network.12.bias": [
0.139005
]
}
## Activation Signature
### 0
mean: [0.039004, 0.316195, 0.421404, 0.205089, 1.328833, 1.650731]
std: [1.329891, 1.255798, 1.199099, 1.304603, 1.716530, 2.040595]
pca: [[0.236110, -0.541216, -0.233004, -0.269499, 0.480569, 0.541729, 0.000000, 0.000000, 0.000000, 0.000000], [0.228853, -0.478398, 0.435233, -0.517797, -0.442762, -0.255309, 0.000000, 0.000000, 0.000000, 0.000000], [-0.264627, -0.379432, 0.566278, 0.596534, -0.055845, 0.326131, 0.000000, 0.000000, 0.000000, 0.000000], [0.138276, 0.568236, 0.568773, -0.341115, 0.163193, 0.437599, 0.000000, 0.000000, 0.000000, 0.000000], [0.576234, -0.022808, 0.274482, 0.291566, 0.527291, -0.478590, 0.000000, 0.000000, 0.000000, 0.000000], [0.686065, 0.104116, -0.191747, 0.319427, -0.515004, 0.338296, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.631388, 22.763974, 23.207448, 24.449399, 28.954299], [20.748136, 20.997156, 21.067699, 25.960622, 28.457554], [16.094654, 16.108613, 20.053253, 24.517340, 37.926366], [19.467833, 19.745831, 19.854003, 22.089553, 25.247797], [27.737844, 28.344726, 28.645890, 29.054957, 119.594972], [31.303146, 32.703862, 34.002615, 37.358113, 148.565807]]
### 2
mean: [0.537809, 0.726642, 2.403495, -0.986411, 1.916047, 0.085559]
std: [0.810581, 1.044312, 2.530145, 0.725756, 2.034215, 0.707877]
pca: [[0.216614, 0.252847, 0.388701, 0.744373, -0.309679, 0.296758, 0.000000, 0.000000, 0.000000, 0.000000], [0.280507, 0.416492, -0.518630, 0.218837, 0.619503, 0.217256, 0.000000, 0.000000, 0.000000, 0.000000], [0.701574, -0.180439, -0.251760, -0.328604, -0.417344, 0.360134, 0.000000, 0.000000, 0.000000, 0.000000], [-0.178784, 0.733815, 0.263716, -0.504774, -0.119111, 0.301698, 0.000000, 0.000000, 0.000000, 0.000000], [0.561365, 0.007495, 0.603685, -0.171868, 0.423828, -0.333479, 0.000000, 0.000000, 0.000000, 0.000000], [-0.187334, -0.437611, 0.287349, -0.075522, 0.390283, 0.729937, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.783920, 13.842016, 14.988212, 14.993163, 48.402790], [16.098134, 17.870723, 18.345341, 19.565529, 65.397791], [41.432500, 43.320773, 43.364109, 43.822132, 216.314573], [11.261602, 11.459836, 12.275672, 13.413930, 88.777007], [34.219539, 35.610464, 35.753805, 36.805448, 172.444193], [10.203948, 11.122522, 11.999527, 12.434488, 14.679762]]
### 4
mean: [0.356219, 1.175186, -1.252727, 2.703707, 1.015532, 0.588648]
std: [0.412630, 1.667062, 0.715091, 2.970480, 1.547441, 0.821561]
pca: [[0.098204, -0.123128, 0.791437, 0.145888, 0.546894, 0.168660, 0.000000, 0.000000, 0.000000, 0.000000], [0.423982, 0.783359, -0.129086, 0.238586, 0.291132, -0.219644, 0.000000, 0.000000, 0.000000, 0.000000], [-0.180815, -0.214687, -0.511976, -0.212410, 0.783545, -0.005979, 0.000000, 0.000000, 0.000000, 0.000000], [0.760263, -0.291001, 0.028298, -0.537735, -0.033215, -0.215071, 0.000000, 0.000000, 0.000000, 0.000000], [0.395911, -0.095222, -0.268425, 0.266885, -0.031432, 0.830614, 0.000000, 0.000000, 0.000000, 0.000000], [0.207739, -0.480987, -0.148297, 0.718533, 0.010737, -0.432549, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.346353, 6.671012, 6.716745, 7.965120, 32.059725], [28.911200, 29.087682, 29.527339, 29.963737, 105.766732], [11.421428, 11.527399, 12.251762, 13.576444, 112.745413], [49.650637, 50.153612, 51.889860, 52.192144, 243.333649], [25.774995, 25.819686, 27.402021, 27.859235, 91.397903], [12.690351, 13.852478, 14.171290, 15.489459, 52.978300]]
### 6
mean: [2.979197, 0.165291, -0.466854, -1.125414, 2.668376, -0.333332]
std: [3.406627, 0.052951, 1.071578, 0.843740, 3.100114, 0.289244]
pca: [[0.708013, -0.150748, -0.143734, 0.217317, -0.469856, -0.432830, 0.000000, 0.000000, 0.000000, 0.000000], [0.007449, -0.195021, 0.515342, 0.210103, 0.554331, -0.587289, 0.000000, 0.000000, 0.000000, 0.000000], [-0.222455, -0.361264, -0.504162, 0.724115, 0.176960, 0.100827, 0.000000, 0.000000, 0.000000, 0.000000], [-0.175057, -0.221684, 0.657701, 0.373891, -0.503645, 0.306900, 0.000000, 0.000000, 0.000000, 0.000000], [0.644312, 0.061552, 0.160010, 0.152879, 0.430319, 0.589003, 0.000000, 0.000000, 0.000000, 0.000000], [-0.058257, 0.869367, 0.037558, 0.470235, -0.042481, -0.128342, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[56.911651, 58.112171, 59.825626, 61.186078, 268.127785], [0.830761, 0.893286, 0.929292, 0.966787, 14.876231], [17.038792, 18.278609, 18.843601, 20.183974, 42.016841], [14.311959, 14.461645, 14.777055, 15.316351, 101.287268], [51.407144, 52.980399, 54.509407, 56.000451, 240.153877], [4.564771, 4.763772, 4.898076, 5.010486, 29.999888]]
### 8
mean: [2.802293, 2.036979, 0.025489, -0.398623, -0.063493, 3.046070]
std: [3.315312, 2.163944, 0.172432, 0.802281, 0.599297, 3.958253]
pca: [[0.582686, -0.111171, 0.199211, 0.636804, -0.049377, 0.447745, 0.000000, 0.000000, 0.000000, 0.000000], [0.380294, 0.753999, -0.396468, -0.062321, 0.354653, -0.003552, 0.000000, 0.000000, 0.000000, 0.000000], [0.030268, -0.178072, 0.294917, 0.279673, 0.719621, -0.533222, 0.000000, 0.000000, 0.000000, 0.000000], [-0.140941, 0.589010, 0.736064, 0.067525, -0.267639, -0.123379, 0.000000, 0.000000, 0.000000, 0.000000], [-0.105325, -0.037564, 0.343034, -0.435863, 0.506207, 0.650846, 0.000000, 0.000000, 0.000000, 0.000000], [0.695687, -0.197667, 0.238098, -0.563776, -0.161405, -0.276337, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[55.248830, 56.889552, 58.159491, 59.350708, 252.206390], [36.213131, 37.112372, 38.007213, 38.537549, 183.328111], [2.737252, 2.875237, 2.931032, 3.060591, 3.104951], [12.997603, 13.864272, 14.032949, 14.691141, 35.876096], [9.650712, 9.916959, 10.311310, 10.492987, 10.724025], [65.942334, 67.922984, 69.429616, 70.963808, 274.146272]]
### 10
mean: [-0.982235, -0.743278, -0.218983, 3.409034, -0.204756, -0.059420]
std: [0.819124, 1.204200, 0.208829, 4.413777, 0.052104, 0.154569]
pca: [[-0.175696, -0.545834, 0.163891, 0.110403, -0.381079, 0.697800, 0.000000, 0.000000, 0.000000, 0.000000], [-0.258707, 0.079936, -0.139889, -0.068762, 0.815815, 0.486652, 0.000000, 0.000000, 0.000000, 0.000000], [-0.044801, 0.051206, 0.954975, -0.225617, 0.166581, -0.068850, 0.000000, 0.000000, 0.000000, 0.000000], [0.948261, -0.058282, 0.034092, -0.030531, 0.148107, 0.270876, 0.000000, 0.000000, 0.000000, 0.000000], [0.007005, 0.473752, 0.193270, 0.840938, -0.042122, 0.170898, 0.000000, 0.000000, 0.000000, 0.000000], [-0.030759, 0.682067, -0.055472, -0.473362, -0.371169, 0.411004, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.298010, 14.113198, 14.348232, 15.081678, 88.401133], [20.157024, 20.771521, 21.072604, 21.276060, 66.894993], [3.392948, 3.615687, 3.649755, 3.786004, 19.708494], [73.612742, 76.184690, 77.220203, 78.354458, 306.813061], [0.796110, 0.818873, 0.917581, 1.068686, 18.427998], [2.464336, 2.479123, 2.794504, 2.797883, 5.347818]]
### 12
mean: [-1.703189]
std: [2.367453]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.555973, 41.033608, 41.331142, 41.675421, 153.286990]]
## 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.
|
mountain_pattern
|
## 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:
{
"network.0.weight": [
[
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-0.011719,
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-0.180317,
0.421325
],
[
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-0.183102,
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0.52432
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[
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0.027304,
0.54022
],
[
-0.157875,
0.464187,
0.044682,
0.168215,
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],
[
0.567952,
0.513432,
0.028007,
-0.038686,
-0.07073
],
[
0.636056,
0.595563,
0.110271,
-0.222441,
-0.308268
]
],
"network.0.bias": [
-0.243474,
-0.17683,
0.278733,
-0.334316,
-0.201847,
0.400812
],
"network.2.weight": [
[
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-0.157776,
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0.071099,
-0.120117,
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],
[
-0.014072,
0.348814,
-0.279471,
-0.21547,
0.019741,
0.414336
],
[
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0.191843,
0.493034,
0.579509
],
[
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],
[
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0.075598,
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0.544225
],
[
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]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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[
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[
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[
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0.63849,
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0.354494,
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],
[
0.288768,
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0.330271,
0.009824,
0.077054,
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],
[
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0.400329,
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]
],
"network.4.bias": [
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0.162994
],
"network.6.weight": [
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[
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[
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[
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0.147863
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[
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],
"network.6.bias": [
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0.162205,
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0.273339,
-0.141794
],
"network.8.weight": [
[
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],
[
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0.4481,
0.429121,
0.030209
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[
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[
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[
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],
[
0.596566,
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0.058399,
-0.126204,
0.602891,
-0.213287
]
],
"network.8.bias": [
0.021059,
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0.381891,
-0.265854
],
"network.10.weight": [
[
-0.127627,
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-0.097499,
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],
[
-0.192475,
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0.332899,
-0.068279,
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],
[
0.395472,
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0.32399,
0.188217,
-0.18067,
-0.248216
],
[
0.528372,
0.428702,
0.030481,
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0.399944
],
[
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],
[
0.079112,
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],
"network.10.bias": [
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],
"network.12.weight": [
[
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-0.527036,
0.151407,
0.18601
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],
"network.12.bias": [
0.139005
]
}
## Activation Signature
### 0
mean: [0.039004, 0.316195, 0.421404, 0.205089, 1.328833, 1.650731]
std: [1.329891, 1.255798, 1.199099, 1.304603, 1.716530, 2.040595]
pca: [[0.236110, -0.541216, -0.233004, -0.269499, 0.480569, 0.541729, 0.000000, 0.000000, 0.000000, 0.000000], [0.228853, -0.478398, 0.435233, -0.517797, -0.442762, -0.255309, 0.000000, 0.000000, 0.000000, 0.000000], [-0.264627, -0.379432, 0.566278, 0.596534, -0.055845, 0.326131, 0.000000, 0.000000, 0.000000, 0.000000], [0.138276, 0.568236, 0.568773, -0.341115, 0.163193, 0.437599, 0.000000, 0.000000, 0.000000, 0.000000], [0.576234, -0.022808, 0.274482, 0.291566, 0.527291, -0.478590, 0.000000, 0.000000, 0.000000, 0.000000], [0.686065, 0.104116, -0.191747, 0.319427, -0.515004, 0.338296, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.631388, 22.763974, 23.207448, 24.449399, 28.954299], [20.748136, 20.997156, 21.067699, 25.960622, 28.457554], [16.094654, 16.108613, 20.053253, 24.517340, 37.926366], [19.467833, 19.745831, 19.854003, 22.089553, 25.247797], [27.737844, 28.344726, 28.645890, 29.054957, 119.594972], [31.303146, 32.703862, 34.002615, 37.358113, 148.565807]]
### 2
mean: [0.537809, 0.726642, 2.403495, -0.986411, 1.916047, 0.085559]
std: [0.810581, 1.044312, 2.530145, 0.725756, 2.034215, 0.707877]
pca: [[0.216614, 0.252847, 0.388701, 0.744373, -0.309679, 0.296758, 0.000000, 0.000000, 0.000000, 0.000000], [0.280507, 0.416492, -0.518630, 0.218837, 0.619503, 0.217256, 0.000000, 0.000000, 0.000000, 0.000000], [0.701574, -0.180439, -0.251760, -0.328604, -0.417344, 0.360134, 0.000000, 0.000000, 0.000000, 0.000000], [-0.178784, 0.733815, 0.263716, -0.504774, -0.119111, 0.301698, 0.000000, 0.000000, 0.000000, 0.000000], [0.561365, 0.007495, 0.603685, -0.171868, 0.423828, -0.333479, 0.000000, 0.000000, 0.000000, 0.000000], [-0.187334, -0.437611, 0.287349, -0.075522, 0.390283, 0.729937, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.783920, 13.842016, 14.988212, 14.993163, 48.402790], [16.098134, 17.870723, 18.345341, 19.565529, 65.397791], [41.432500, 43.320773, 43.364109, 43.822132, 216.314573], [11.261602, 11.459836, 12.275672, 13.413930, 88.777007], [34.219539, 35.610464, 35.753805, 36.805448, 172.444193], [10.203948, 11.122522, 11.999527, 12.434488, 14.679762]]
### 4
mean: [0.356219, 1.175186, -1.252727, 2.703707, 1.015532, 0.588648]
std: [0.412630, 1.667062, 0.715091, 2.970480, 1.547441, 0.821561]
pca: [[0.098204, -0.123128, 0.791437, 0.145888, 0.546894, 0.168660, 0.000000, 0.000000, 0.000000, 0.000000], [0.423982, 0.783359, -0.129086, 0.238586, 0.291132, -0.219644, 0.000000, 0.000000, 0.000000, 0.000000], [-0.180815, -0.214687, -0.511976, -0.212410, 0.783545, -0.005979, 0.000000, 0.000000, 0.000000, 0.000000], [0.760263, -0.291001, 0.028298, -0.537735, -0.033215, -0.215071, 0.000000, 0.000000, 0.000000, 0.000000], [0.395911, -0.095222, -0.268425, 0.266885, -0.031432, 0.830614, 0.000000, 0.000000, 0.000000, 0.000000], [0.207739, -0.480987, -0.148297, 0.718533, 0.010737, -0.432549, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.346353, 6.671012, 6.716745, 7.965120, 32.059725], [28.911200, 29.087682, 29.527339, 29.963737, 105.766732], [11.421428, 11.527399, 12.251762, 13.576444, 112.745413], [49.650637, 50.153612, 51.889860, 52.192144, 243.333649], [25.774995, 25.819686, 27.402021, 27.859235, 91.397903], [12.690351, 13.852478, 14.171290, 15.489459, 52.978300]]
### 6
mean: [2.979197, 0.165291, -0.466854, -1.125414, 2.668376, -0.333332]
std: [3.406627, 0.052951, 1.071578, 0.843740, 3.100114, 0.289244]
pca: [[0.708013, -0.150748, -0.143734, 0.217317, -0.469856, -0.432830, 0.000000, 0.000000, 0.000000, 0.000000], [0.007449, -0.195021, 0.515342, 0.210103, 0.554331, -0.587289, 0.000000, 0.000000, 0.000000, 0.000000], [-0.222455, -0.361264, -0.504162, 0.724115, 0.176960, 0.100827, 0.000000, 0.000000, 0.000000, 0.000000], [-0.175057, -0.221684, 0.657701, 0.373891, -0.503645, 0.306900, 0.000000, 0.000000, 0.000000, 0.000000], [0.644312, 0.061552, 0.160010, 0.152879, 0.430319, 0.589003, 0.000000, 0.000000, 0.000000, 0.000000], [-0.058257, 0.869367, 0.037558, 0.470235, -0.042481, -0.128342, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[56.911651, 58.112171, 59.825626, 61.186078, 268.127785], [0.830761, 0.893286, 0.929292, 0.966787, 14.876231], [17.038792, 18.278609, 18.843601, 20.183974, 42.016841], [14.311959, 14.461645, 14.777055, 15.316351, 101.287268], [51.407144, 52.980399, 54.509407, 56.000451, 240.153877], [4.564771, 4.763772, 4.898076, 5.010486, 29.999888]]
### 8
mean: [2.802293, 2.036979, 0.025489, -0.398623, -0.063493, 3.046070]
std: [3.315312, 2.163944, 0.172432, 0.802281, 0.599297, 3.958253]
pca: [[0.582686, -0.111171, 0.199211, 0.636804, -0.049377, 0.447745, 0.000000, 0.000000, 0.000000, 0.000000], [0.380294, 0.753999, -0.396468, -0.062321, 0.354653, -0.003552, 0.000000, 0.000000, 0.000000, 0.000000], [0.030268, -0.178072, 0.294917, 0.279673, 0.719621, -0.533222, 0.000000, 0.000000, 0.000000, 0.000000], [-0.140941, 0.589010, 0.736064, 0.067525, -0.267639, -0.123379, 0.000000, 0.000000, 0.000000, 0.000000], [-0.105325, -0.037564, 0.343034, -0.435863, 0.506207, 0.650846, 0.000000, 0.000000, 0.000000, 0.000000], [0.695687, -0.197667, 0.238098, -0.563776, -0.161405, -0.276337, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[55.248830, 56.889552, 58.159491, 59.350708, 252.206390], [36.213131, 37.112372, 38.007213, 38.537549, 183.328111], [2.737252, 2.875237, 2.931032, 3.060591, 3.104951], [12.997603, 13.864272, 14.032949, 14.691141, 35.876096], [9.650712, 9.916959, 10.311310, 10.492987, 10.724025], [65.942334, 67.922984, 69.429616, 70.963808, 274.146272]]
### 10
mean: [-0.982235, -0.743278, -0.218983, 3.409034, -0.204756, -0.059420]
std: [0.819124, 1.204200, 0.208829, 4.413777, 0.052104, 0.154569]
pca: [[-0.175696, -0.545834, 0.163891, 0.110403, -0.381079, 0.697800, 0.000000, 0.000000, 0.000000, 0.000000], [-0.258707, 0.079936, -0.139889, -0.068762, 0.815815, 0.486652, 0.000000, 0.000000, 0.000000, 0.000000], [-0.044801, 0.051206, 0.954975, -0.225617, 0.166581, -0.068850, 0.000000, 0.000000, 0.000000, 0.000000], [0.948261, -0.058282, 0.034092, -0.030531, 0.148107, 0.270876, 0.000000, 0.000000, 0.000000, 0.000000], [0.007005, 0.473752, 0.193270, 0.840938, -0.042122, 0.170898, 0.000000, 0.000000, 0.000000, 0.000000], [-0.030759, 0.682067, -0.055472, -0.473362, -0.371169, 0.411004, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.298010, 14.113198, 14.348232, 15.081678, 88.401133], [20.157024, 20.771521, 21.072604, 21.276060, 66.894993], [3.392948, 3.615687, 3.649755, 3.786004, 19.708494], [73.612742, 76.184690, 77.220203, 78.354458, 306.813061], [0.796110, 0.818873, 0.917581, 1.068686, 18.427998], [2.464336, 2.479123, 2.794504, 2.797883, 5.347818]]
### 12
mean: [-1.703189]
std: [2.367453]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.555973, 41.033608, 41.331142, 41.675421, 153.286990]]
## 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.
mountain_pattern
|
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{"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": [[0.498498, -0.011719, -0.215174, -0.180317, 0.421325], [0.232394, 0.298313, -0.183102, -0.281635, 0.52432], [-0.260607, -0.234173, 0.080844, 0.027304, 0.54022], [-0.157875, 0.464187, 0.044682, 0.168215, -0.457332], [0.567952, 0.513432, 0.028007, -0.038686, -0.07073], [0.636056, 0.595563, 0.110271, -0.222441, -0.308268]], "network.0.bias": [-0.243474, -0.17683, 0.278733, -0.334316, -0.201847, 0.400812], "network.2.weight": [[0.609088, -0.157776, 0.059863, 0.071099, -0.120117, 0.349919], [-0.014072, 0.348814, -0.279471, -0.21547, 0.019741, 0.414336], [0.218185, 0.637254, -0.154313, 0.191843, 0.493034, 0.579509], [0.089178, 0.144717, -0.281988, -0.245647, -0.178684, -0.259904], [0.584156, 0.398883, 0.075598, 0.25342, 0.182577, 0.544225], [-0.124279, -0.269797, 0.303986, 0.136425, 0.018319, -0.232076]], "network.2.bias": [-0.144767, 0.081848, 0.327397, -0.154293, 0.111815, 0.415647], "network.4.weight": [[-0.385871, -0.22169, 0.196381, 0.273602, 0.144108, -0.40859], [0.312604, -0.078208, 0.083696, 0.01565, 0.609651, -0.123329], [0.002415, 0.323261, -0.31618, 0.525821, -0.099847, 0.142942], [-0.051217, 0.522941, 0.63849, 0.243524, 0.354494, -0.498875], [0.288768, 0.256316, 0.330271, 0.009824, 0.077054, -0.311508], [0.305655, 0.156495, 0.367404, 0.400329, -0.300412, -0.417754]], "network.4.bias": [0.0955, -0.213364, -0.524213, 0.368766, -0.146171, 0.162994], "network.6.weight": [[0.171513, 0.531569, 0.115069, 0.659487, 0.189492, 0.240309], [-0.205661, -0.16143, 0.332161, 0.061531, 0.086357, 0.040678], [-0.270027, -0.245008, -0.480222, 0.069804, -0.267643, -0.44817], [-0.30736, -0.177481, 0.097051, -0.072509, -0.346775, 0.369649], [0.107126, 0.431829, 0.174304, 0.529953, 0.411824, 0.147863], [-0.172141, 0.287555, -0.582469, -0.175672, -0.19295, 0.201531]], "network.6.bias": [0.277031, 0.179634, 0.162205, -0.482429, 0.273339, -0.141794], "network.8.weight": [[0.536448, 0.166028, -0.047522, -0.133675, 0.463036, 0.012413], [0.220102, -0.162571, -0.389663, 0.4481, 0.429121, 0.030209], [-0.109932, -0.021534, 0.049051, -0.545882, 0.186576, 0.027135], [0.083275, -0.317926, -0.053789, -0.334933, -0.341394, -0.17919], [-0.124793, -0.235641, 0.072518, -0.370727, -0.043377, -0.019082], [0.596566, -0.169826, 0.058399, -0.126204, 0.602891, -0.213287]], "network.8.bias": [0.021059, 0.382188, -0.203064, 0.218072, 0.381891, -0.265854], "network.10.weight": [[-0.127627, 0.003122, -0.121995, -0.295546, -0.097499, -0.104461], [-0.192475, -0.060896, 0.233295, 0.332899, -0.068279, -0.109094], [0.395472, -0.269593, 0.32399, 0.188217, -0.18067, -0.248216], [0.528372, 0.428702, 0.030481, -0.233498, -0.495719, 0.399944], [0.169302, 0.101049, 0.17239, 0.242369, 0.341268, -0.179239], [0.079112, -0.304787, -0.011127, 0.222852, 0.351262, 0.084153]], "network.10.bias": [-0.313801, 0.226562, -0.020117, -0.022767, -0.359905, 0.033393], "network.12.weight": [[0.175759, 0.216333, 0.386719, -0.527036, 0.151407, 0.18601]], "network.12.bias": [0.139005]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6977477073669434, "train_acc": 0.475, "val_loss": 0.700035572052002, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6736904382705688, "train_acc": 0.575, "val_loss": 0.7212714552879333, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6502997279167175, "train_acc": 0.575, "val_loss": 0.7139224410057068, "val_acc": 0.46}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6186095476150513, "train_acc": 0.575, "val_loss": 0.662850022315979, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5826098620891571, "train_acc": 0.51, "val_loss": 0.5955665707588196, "val_acc": 0.7}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5028209239244461, "train_acc": 0.78, "val_loss": 0.5380540490150452, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.45652855932712555, "train_acc": 0.83, "val_loss": 0.5063413381576538, "val_acc": 0.76}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.43798936903476715, "train_acc": 0.835, "val_loss": 0.5200117230415344, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.4056464433670044, "train_acc": 0.835, "val_loss": 0.501995861530304, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.3791634887456894, "train_acc": 0.835, "val_loss": 0.48877769708633423, "val_acc": 0.78}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.40258361399173737, "train_acc": 0.83, "val_loss": 0.4812070429325104, "val_acc": 0.78}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.36968304216861725, "train_acc": 0.84, "val_loss": 0.5206201672554016, "val_acc": 0.74}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.36288021504879, "train_acc": 0.84, "val_loss": 0.5015436410903931, "val_acc": 0.78}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.3538610488176346, "train_acc": 0.84, "val_loss": 0.5266245007514954, "val_acc": 0.74}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.700035572052002, "final_val_loss": 0.662850022315979, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.5955665707588196, "final_val_loss": 0.5266245007514954, "initial_val_acc": 0.7, "final_val_acc": 0.74, "best_val_acc": 0.8, "best_epoch": 5}, "improvement": 0.34, "first_improvement_epoch": 3}}
|
9,486
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.46, "improved_accuracy": 0.92, "improvement": 0.46, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3682, "learning_rate": 0.06211752782724023, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "mountain_pattern", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["mountain_pattern"], "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: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.10.bias": [
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}
## Activation Signature
### 0
mean: [-0.560640, 0.448549, 1.858333, 1.200945, -0.157160]
std: [1.436202, 1.409896, 2.849050, 2.251514, 0.868025]
pca: [[-0.134432, 0.572691, 0.584307, -0.559050, -0.001015, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.398292, -0.041292, 0.013224, -0.125902, 0.907542, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.789292, -0.276028, 0.121100, -0.345247, -0.408615, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.416848, 0.768749, -0.337937, 0.334241, -0.096671, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.162935, -0.056159, 0.727698, 0.663852, 0.007429, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.707495, 21.210429, 21.928283, 24.498745, 50.457563], [22.366738, 23.150326, 23.463174, 26.077582, 40.369417], [43.393303, 45.429871, 49.150130, 58.480128, 167.250016], [33.702698, 35.659270, 35.760548, 37.309600, 108.085022], [14.144358, 16.349580, 16.395664, 20.015283, 20.604126]]
### 2
mean: [0.399133, 2.371609, 4.139981, -2.443979, 3.737235]
std: [1.168570, 2.583769, 3.851710, 1.754136, 3.682672]
pca: [[-0.002671, 0.871179, 0.288251, 0.393618, -0.054927, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.412622, -0.393476, 0.156786, 0.703946, -0.393443, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.627465, 0.143045, 0.287784, -0.580037, -0.408122, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.273525, -0.256316, 0.899724, -0.063528, 0.214354, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.601005, 0.008018, 0.002661, 0.095114, 0.793520, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.176845, 18.422406, 19.706472, 21.427541, 35.921989], [40.243645, 41.585169, 50.930269, 53.068558, 213.444822], [64.297938, 65.400449, 65.785850, 73.980536, 372.598330], [27.204983, 27.643978, 29.369232, 29.389091, 219.958099], [60.584035, 61.865936, 61.929153, 70.263875, 336.351147]]
### 4
mean: [-4.075380, -2.471324, 7.379148, 8.439215, -3.672894]
std: [3.682945, 1.921678, 7.357002, 8.010529, 2.987140]
pca: [[-0.303422, 0.870488, 0.063644, 0.378887, -0.050788, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.159797, 0.185750, 0.111026, -0.459947, 0.846217, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.612886, 0.119496, -0.587405, 0.363776, 0.364298, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.667296, 0.181693, 0.722169, -0.005947, -0.011855, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.247965, -0.400569, 0.342125, 0.715909, 0.385335, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[58.918079, 59.632118, 69.703598, 71.353241, 366.784202], [31.354265, 31.975125, 34.676279, 37.346571, 222.419151], [122.625506, 123.508591, 125.290481, 141.749011, 664.123325], [133.952728, 134.422850, 134.827492, 153.569734, 759.529272], [49.371869, 50.287467, 50.642492, 56.672028, 330.560457]]
### 6
mean: [9.845757, 12.004906, -3.688506, -2.032574, -6.073885]
std: [9.451495, 11.527691, 3.204807, 2.790977, 6.001574]
pca: [[0.568610, 0.193796, 0.786284, -0.093174, 0.110461, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.693516, -0.305636, -0.483726, 0.032080, 0.436581, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.192785, 0.700440, -0.110320, 0.136936, 0.664301, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.167901, -0.393387, 0.281843, 0.823735, 0.243066, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.361056, -0.472928, 0.236984, -0.541293, 0.544810, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[158.595550, 158.658482, 159.854415, 181.281302, 886.118198], [193.263336, 193.645163, 194.577617, 221.077769, 1080.441475], [53.522831, 53.624058, 53.991809, 61.427197, 331.965535], [46.759675, 46.945440, 47.464818, 53.546601, 182.931639], [100.649218, 100.827006, 101.783878, 115.128102, 546.649638]]
### 8
mean: [-11.730430, 3.206800, 9.167854, -4.608658, 5.731188]
std: [11.269186, 3.564618, 9.390893, 4.324603, 5.920159]
pca: [[0.671503, 0.642568, -0.332232, -0.125572, 0.100212, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.212370, 0.376526, -0.132143, 0.679733, -0.577605, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.559604, 0.334700, -0.335885, 0.139712, 0.665192, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.257705, 0.132005, 0.713039, 0.491944, 0.407099, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.352723, 0.562036, 0.500917, -0.510554, -0.219362, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[189.587424, 189.816715, 190.428824, 215.265928, 1055.738626], [58.969865, 59.494485, 60.171310, 69.185401, 288.612005], [156.589076, 157.280574, 158.643771, 181.069810, 825.106891], [72.634735, 72.639836, 73.126376, 82.861041, 414.779211], [98.055542, 98.903802, 99.868870, 114.751417, 515.806968]]
### 10
mean: [-7.131879]
std: [7.744441]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[129.466572, 130.496774, 131.116833, 147.878720, 641.869075]]
## 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.
|
mountain_pattern
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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-0.261798,
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0.49205
],
[
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-0.31857
],
[
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1.03073,
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-0.791106
],
[
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0.510834
],
[
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"network.0.bias": [
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"network.2.weight": [
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[
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0.87551,
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0.349928,
0.069336,
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-0.809463,
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[
0.813293,
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0.993971,
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0.412018
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"network.2.bias": [
-0.032473,
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0.002411,
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[
0.424435,
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[
0.374545,
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1.069396
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[
-0.375733,
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-0.53608,
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"network.6.weight": [
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0.320151,
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0.126775
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-0.078833,
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[
-0.01928,
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[
-0.114051,
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],
"network.6.bias": [
0.173396,
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"network.8.weight": [
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-0.537802,
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[
0.072505,
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"network.10.bias": [
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}
## Activation Signature
### 0
mean: [-0.560640, 0.448549, 1.858333, 1.200945, -0.157160]
std: [1.436202, 1.409896, 2.849050, 2.251514, 0.868025]
pca: [[-0.134432, 0.572691, 0.584307, -0.559050, -0.001015, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.398292, -0.041292, 0.013224, -0.125902, 0.907542, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.789292, -0.276028, 0.121100, -0.345247, -0.408615, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.416848, 0.768749, -0.337937, 0.334241, -0.096671, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.162935, -0.056159, 0.727698, 0.663852, 0.007429, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.707495, 21.210429, 21.928283, 24.498745, 50.457563], [22.366738, 23.150326, 23.463174, 26.077582, 40.369417], [43.393303, 45.429871, 49.150130, 58.480128, 167.250016], [33.702698, 35.659270, 35.760548, 37.309600, 108.085022], [14.144358, 16.349580, 16.395664, 20.015283, 20.604126]]
### 2
mean: [0.399133, 2.371609, 4.139981, -2.443979, 3.737235]
std: [1.168570, 2.583769, 3.851710, 1.754136, 3.682672]
pca: [[-0.002671, 0.871179, 0.288251, 0.393618, -0.054927, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.412622, -0.393476, 0.156786, 0.703946, -0.393443, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.627465, 0.143045, 0.287784, -0.580037, -0.408122, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.273525, -0.256316, 0.899724, -0.063528, 0.214354, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.601005, 0.008018, 0.002661, 0.095114, 0.793520, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.176845, 18.422406, 19.706472, 21.427541, 35.921989], [40.243645, 41.585169, 50.930269, 53.068558, 213.444822], [64.297938, 65.400449, 65.785850, 73.980536, 372.598330], [27.204983, 27.643978, 29.369232, 29.389091, 219.958099], [60.584035, 61.865936, 61.929153, 70.263875, 336.351147]]
### 4
mean: [-4.075380, -2.471324, 7.379148, 8.439215, -3.672894]
std: [3.682945, 1.921678, 7.357002, 8.010529, 2.987140]
pca: [[-0.303422, 0.870488, 0.063644, 0.378887, -0.050788, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.159797, 0.185750, 0.111026, -0.459947, 0.846217, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.612886, 0.119496, -0.587405, 0.363776, 0.364298, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.667296, 0.181693, 0.722169, -0.005947, -0.011855, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.247965, -0.400569, 0.342125, 0.715909, 0.385335, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[58.918079, 59.632118, 69.703598, 71.353241, 366.784202], [31.354265, 31.975125, 34.676279, 37.346571, 222.419151], [122.625506, 123.508591, 125.290481, 141.749011, 664.123325], [133.952728, 134.422850, 134.827492, 153.569734, 759.529272], [49.371869, 50.287467, 50.642492, 56.672028, 330.560457]]
### 6
mean: [9.845757, 12.004906, -3.688506, -2.032574, -6.073885]
std: [9.451495, 11.527691, 3.204807, 2.790977, 6.001574]
pca: [[0.568610, 0.193796, 0.786284, -0.093174, 0.110461, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.693516, -0.305636, -0.483726, 0.032080, 0.436581, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.192785, 0.700440, -0.110320, 0.136936, 0.664301, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.167901, -0.393387, 0.281843, 0.823735, 0.243066, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.361056, -0.472928, 0.236984, -0.541293, 0.544810, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[158.595550, 158.658482, 159.854415, 181.281302, 886.118198], [193.263336, 193.645163, 194.577617, 221.077769, 1080.441475], [53.522831, 53.624058, 53.991809, 61.427197, 331.965535], [46.759675, 46.945440, 47.464818, 53.546601, 182.931639], [100.649218, 100.827006, 101.783878, 115.128102, 546.649638]]
### 8
mean: [-11.730430, 3.206800, 9.167854, -4.608658, 5.731188]
std: [11.269186, 3.564618, 9.390893, 4.324603, 5.920159]
pca: [[0.671503, 0.642568, -0.332232, -0.125572, 0.100212, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.212370, 0.376526, -0.132143, 0.679733, -0.577605, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.559604, 0.334700, -0.335885, 0.139712, 0.665192, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.257705, 0.132005, 0.713039, 0.491944, 0.407099, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.352723, 0.562036, 0.500917, -0.510554, -0.219362, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[189.587424, 189.816715, 190.428824, 215.265928, 1055.738626], [58.969865, 59.494485, 60.171310, 69.185401, 288.612005], [156.589076, 157.280574, 158.643771, 181.069810, 825.106891], [72.634735, 72.639836, 73.126376, 82.861041, 414.779211], [98.055542, 98.903802, 99.868870, 114.751417, 515.806968]]
### 10
mean: [-7.131879]
std: [7.744441]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[129.466572, 130.496774, 131.116833, 147.878720, 641.869075]]
## 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.
mountain_pattern
|
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[72.6347346616442, 72.63983559856362, 73.12637618715577, 82.86104096107938, 414.77921068668365]}, "4": {"mean": 5.7311882972717285, "std": 5.920159339904785, "pca": [-0.35272282361984253, 0.5620355010032654, 0.5009167790412903, -0.5105540752410889, -0.21936185657978058, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [98.05554222777762, 98.90380190471349, 99.86886983199526, 114.75141659824337, 515.8069675862789]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "10": {"neuron_profiles": {"0": {"mean": -7.131878852844238, "std": 7.74444055557251, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [129.46657220707664, 130.49677413096353, 131.11683306589646, 147.87872045859166, 641.8690745830536]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.164998, -0.263533, -0.261798, -0.413422, 0.49205], [0.291052, 0.56528, -0.049162, -0.169317, -0.31857], [0.642256, 1.03073, -0.132073, -0.098523, -0.791106], [0.453667, 0.740759, -0.105149, -0.713618, 0.510834], [0.050725, 0.367677, -0.348349, -0.063063, -0.078338]], "network.0.bias": [0.540812, -0.085027, 0.643722, 0.406481, 0.069241], "network.2.weight": [[0.513521, -0.724649, -0.102792, 0.630179, 0.038256], [0.469479, 0.355758, 0.70631, 0.253533, 0.659877], [1.195762, 0.439124, 0.87551, 0.853504, 0.418095], [0.349928, 0.069336, -0.256012, -0.809463, 0.180165], [0.813293, 0.055612, 0.993971, 0.841075, 0.412018]], "network.2.bias": [-0.032473, -0.137734, 0.066556, -0.821199, -0.157485], "network.4.weight": [[0.140445, -0.654247, -0.005882, -0.00878, -0.543904], [0.002411, -0.239564, -0.244998, 0.089924, -0.102149], [0.424435, 0.673832, 0.832623, -0.188938, 0.658192], [0.374545, 0.444584, 0.761362, 0.182262, 1.069396], [-0.375733, -0.181656, -0.225558, -0.047687, -0.438984]], "network.4.bias": [-0.53608, -0.504588, -0.394141, -0.005051, -0.436587], "network.6.weight": [[-0.204713, -0.191672, 0.917063, 0.341093, -0.348586], [0.320151, -0.209859, 0.830196, 0.679747, 0.126775], [-0.078833, 0.164139, 0.112862, -0.503291, 0.272867], [-0.01928, 0.515001, -0.463629, 0.07567, 0.105506], [-0.114051, -0.612311, -0.787912, -0.028526, 0.218779]], "network.6.bias": [0.173396, 0.118106, -0.277231, 0.763489, 0.003871], "network.8.weight": [[-0.537802, -0.540794, 0.189621, -0.408188, -0.096294], [0.204965, 0.136961, 0.311193, -0.400433, 0.102369], [0.601255, 0.316885, 0.354902, -0.460794, -0.387201], [-0.398135, -0.04913, 0.197474, -0.039227, -0.463501], [0.099406, 0.425842, 0.36906, -0.591903, 0.189182]], "network.8.bias": [0.106076, -0.407155, -0.500464, -0.09409, -0.288371], "network.10.weight": [[0.072505, -0.155242, -0.662753, -0.037239, -0.175859]], "network.10.bias": [0.522302]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7204364538192749, "train_acc": 0.43, "val_loss": 0.6902419924736023, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7011933922767639, "train_acc": 0.575, "val_loss": 0.6930503249168396, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6611184477806091, "train_acc": 0.575, "val_loss": 0.6721248030662537, "val_acc": 0.46}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6237171292304993, "train_acc": 0.575, "val_loss": 0.6316708326339722, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5649187862873077, "train_acc": 0.51, "val_loss": 0.49308162927627563, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.46743977069854736, "train_acc": 0.855, "val_loss": 0.4920903742313385, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.43053361773490906, "train_acc": 0.85, "val_loss": 0.3830987215042114, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.4159237742424011, "train_acc": 0.875, "val_loss": 0.35965901613235474, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.35157208144664764, "train_acc": 0.895, "val_loss": 0.3903380334377289, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.35889841616153717, "train_acc": 0.91, "val_loss": 0.35706666111946106, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.32545074820518494, "train_acc": 0.915, "val_loss": 0.3423560857772827, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.2923673987388611, "train_acc": 0.93, "val_loss": 0.33262428641319275, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.2834826856851578, "train_acc": 0.92, "val_loss": 0.31132617592811584, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.26316359639167786, "train_acc": 0.935, "val_loss": 0.3119649887084961, "val_acc": 0.9}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.6902419924736023, "final_val_loss": 0.6316708326339722, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.49308162927627563, "final_val_loss": 0.3119649887084961, "initial_val_acc": 0.88, "final_val_acc": 0.9, "best_val_acc": 0.92, "best_epoch": 7}, "improvement": 0.46, "first_improvement_epoch": 3}}
|
9,487
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.5, "improved_accuracy": 0.88, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6551, "learning_rate": 0.08600119483621248, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "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: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.574144,
0.215817,
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-0.218854,
0.691631
],
[
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0.459541,
-0.726957,
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],
[
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0.289453,
0.487767,
0.043286,
-1.130168
],
[
0.462301,
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],
[
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]
],
"network.0.bias": [
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],
"network.2.weight": [
[
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0.300035,
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],
[
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0.431024,
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],
[
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],
[
0.274922,
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0.65022,
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],
[
0.206267,
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]
],
"network.2.bias": [
0.058104,
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0.172502,
0.120341,
0.031706
],
"network.4.weight": [
[
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],
[
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0.367148,
0.570306,
0.275021
],
[
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0.099455,
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],
[
0.579352,
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],
[
0.320005,
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]
],
"network.4.bias": [
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0.3451
],
"network.6.weight": [
[
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],
[
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],
[
0.231126,
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],
[
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],
[
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]
],
"network.6.bias": [
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],
"network.8.weight": [
[
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[
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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.10.bias": [
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]
}
## Activation Signature
### 0
mean: [-0.056646, -1.621603, 0.360000, 2.192465, -1.576565]
std: [1.880364, 2.471214, 2.341830, 2.331496, 1.534464]
pca: [[-0.429860, 0.052286, -0.523760, 0.733260, 0.022174, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.175867, 0.968230, 0.004648, 0.042595, -0.172528, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.574137, -0.107690, 0.447362, 0.659095, 0.155663, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.568855, 0.203527, 0.543284, 0.022453, 0.582512, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.362025, 0.082321, -0.479963, -0.160016, 0.778583, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.259520, 29.625442, 33.796469, 35.882086, 35.967618], [33.946466, 37.145761, 38.214944, 45.406109, 145.944274], [33.820599, 37.135950, 42.433107, 44.922042, 48.496452], [38.553658, 43.572643, 49.472269, 50.564171, 197.321797], [23.028906, 28.165605, 30.858906, 34.156981, 141.890845]]
### 2
mean: [0.131121, 1.375350, -1.166336, 0.821481, 0.382466]
std: [1.708836, 1.670912, 0.761538, 2.270126, 1.882048]
pca: [[0.448495, 0.196519, 0.724512, -0.434857, -0.214974, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.436401, -0.308930, 0.324991, 0.755025, 0.196046, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.027712, 0.920222, 0.002897, 0.390389, 0.003482, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.600426, 0.005789, -0.528106, 0.038239, -0.599247, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.497120, 0.138205, -0.300929, -0.294908, 0.745817, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.207606, 26.471276, 32.430129, 34.413001, 34.930844], [28.559743, 30.371973, 32.657923, 35.663106, 123.781525], [12.406984, 13.852510, 15.442047, 16.474889, 104.970200], [36.071161, 43.331712, 44.204056, 49.158225, 73.933288], [29.968666, 34.421942, 35.600909, 37.547442, 40.036630]]
### 4
mean: [1.959601, 1.177313, -0.727590, 0.541242, 3.119712]
std: [1.688529, 1.820182, 1.674788, 0.197830, 3.594133]
pca: [[0.360552, -0.468154, 0.113381, -0.425463, 0.675988, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.388624, 0.540813, -0.041427, 0.539361, 0.513678, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.357476, -0.447922, 0.541520, 0.593115, 0.162935, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.036353, 0.455102, 0.811971, -0.357726, -0.065550, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.768025, -0.283903, 0.181352, 0.219812, -0.498328, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.865694, 29.125199, 32.866591, 37.365835, 176.364113], [30.164394, 30.924721, 33.930245, 41.117098, 105.958135], [27.833248, 28.264299, 31.545255, 38.109662, 65.483069], [2.634141, 2.732385, 3.073749, 3.474471, 48.711764], [60.761337, 61.740715, 68.957329, 80.151583, 280.774127]]
### 6
mean: [1.184945, -0.423616, 0.650914, 3.123885, -0.620675]
std: [0.670102, 0.331757, 0.643944, 3.624356, 0.583632]
pca: [[0.175768, 0.333419, 0.240273, -0.480612, 0.754466, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.086467, -0.246608, 0.918913, -0.146300, -0.256714, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.164880, 0.842969, 0.241110, 0.430611, -0.136596, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.954507, 0.007019, 0.107522, 0.262115, -0.092743, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.152838, -0.342594, 0.167845, 0.702480, 0.581050, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.225412, 11.326572, 11.792072, 15.327460, 106.645039], [5.531590, 5.725814, 5.757014, 7.599331, 38.125449], [10.773634, 11.079775, 13.344174, 14.432876, 58.582291], [61.145256, 62.001701, 69.095707, 81.283873, 281.149684], [9.759442, 9.936005, 10.114174, 13.399842, 55.860768]]
### 8
mean: [-0.013489, 0.008135, 2.920912, -1.856315, -2.022956]
std: [1.825990, 1.226851, 2.719108, 1.783497, 0.846718]
pca: [[-0.453964, 0.619484, -0.042331, 0.619528, 0.156682, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.304506, 0.511145, 0.331558, -0.608665, -0.406944, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.677853, 0.365970, 0.571310, 0.103093, 0.263740, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.444628, -0.231551, 0.383135, -0.253529, 0.733226, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.209797, -0.409171, 0.644274, 0.413288, -0.450187, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.601703, 30.725503, 32.367928, 36.752840, 39.978182], [20.501401, 20.640687, 21.899771, 24.914401, 26.708137], [45.905263, 46.132061, 51.047392, 61.268565, 262.882129], [30.103662, 30.332852, 33.452270, 40.198016, 167.068367], [14.188244, 14.355558, 14.862421, 19.349489, 182.066009]]
### 10
mean: [-1.154357]
std: [2.135880]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.607897, 37.777530, 44.238740, 45.408654, 103.892143]]
## 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.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.574144,
0.215817,
-0.543268,
-0.218854,
0.691631
],
[
0.259477,
-0.674799,
0.459541,
-0.726957,
-0.420428
],
[
-0.429425,
0.289453,
0.487767,
0.043286,
-1.130168
],
[
0.462301,
-0.125284,
0.204194,
-0.046099,
0.996773
],
[
-0.154623,
-0.177297,
-0.131613,
-0.07153,
-0.673903
]
],
"network.0.bias": [
-0.413267,
0.402645,
0.649104,
0.288417,
0.198394
],
"network.2.weight": [
[
0.399895,
-0.382131,
-0.66413,
0.300035,
0.057245
],
[
0.494057,
-0.382243,
-0.251822,
0.431024,
-0.112062
],
[
-0.066693,
-0.379921,
-0.488303,
-0.272841,
-0.224234
],
[
0.274922,
-0.809255,
-0.591341,
0.65022,
-0.019033
],
[
0.206267,
-0.656994,
-0.599292,
0.496289,
-0.014422
]
],
"network.2.bias": [
0.058104,
0.476273,
0.172502,
0.120341,
0.031706
],
"network.4.weight": [
[
-0.088989,
0.446672,
0.181388,
0.31619,
0.381729
],
[
0.569891,
-0.118757,
0.367148,
0.570306,
0.275021
],
[
-0.213089,
0.099455,
0.005496,
-0.431173,
-0.622875
],
[
0.579352,
-0.041024,
-0.143504,
-0.269971,
0.060107
],
[
0.320005,
0.522073,
0.032553,
0.909072,
0.592667
]
],
"network.4.bias": [
0.601535,
-0.117184,
0.467062,
0.454011,
0.3451
],
"network.6.weight": [
[
0.110169,
0.242046,
0.326253,
-0.032941,
0.033564
],
[
0.110292,
0.18699,
-0.433545,
-0.038671,
-0.255859
],
[
0.231126,
0.179582,
0.770165,
0.424304,
-0.350847
],
[
0.484485,
0.493284,
0.136941,
-0.358501,
0.562578
],
[
-0.212129,
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-0.384197,
0.059231,
0.021461
]
],
"network.6.bias": [
0.496326,
0.057844,
0.640631,
-0.036966,
0.06427
],
"network.8.weight": [
[
0.227065,
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0.642386,
-0.461086,
-0.02197
],
[
0.106029,
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0.536915,
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0.282872
],
[
0.320753,
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0.712168,
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],
[
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],
[
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0.108564
]
],
"network.8.bias": [
0.693965,
0.391611,
0.196989,
-0.003197,
-0.697864
],
"network.10.weight": [
[
0.67926,
0.361711,
-0.584909,
0.383583,
-0.10572
]
],
"network.10.bias": [
-0.158515
]
}
## Activation Signature
### 0
mean: [-0.056646, -1.621603, 0.360000, 2.192465, -1.576565]
std: [1.880364, 2.471214, 2.341830, 2.331496, 1.534464]
pca: [[-0.429860, 0.052286, -0.523760, 0.733260, 0.022174, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.175867, 0.968230, 0.004648, 0.042595, -0.172528, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.574137, -0.107690, 0.447362, 0.659095, 0.155663, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.568855, 0.203527, 0.543284, 0.022453, 0.582512, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.362025, 0.082321, -0.479963, -0.160016, 0.778583, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.259520, 29.625442, 33.796469, 35.882086, 35.967618], [33.946466, 37.145761, 38.214944, 45.406109, 145.944274], [33.820599, 37.135950, 42.433107, 44.922042, 48.496452], [38.553658, 43.572643, 49.472269, 50.564171, 197.321797], [23.028906, 28.165605, 30.858906, 34.156981, 141.890845]]
### 2
mean: [0.131121, 1.375350, -1.166336, 0.821481, 0.382466]
std: [1.708836, 1.670912, 0.761538, 2.270126, 1.882048]
pca: [[0.448495, 0.196519, 0.724512, -0.434857, -0.214974, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.436401, -0.308930, 0.324991, 0.755025, 0.196046, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.027712, 0.920222, 0.002897, 0.390389, 0.003482, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.600426, 0.005789, -0.528106, 0.038239, -0.599247, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.497120, 0.138205, -0.300929, -0.294908, 0.745817, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.207606, 26.471276, 32.430129, 34.413001, 34.930844], [28.559743, 30.371973, 32.657923, 35.663106, 123.781525], [12.406984, 13.852510, 15.442047, 16.474889, 104.970200], [36.071161, 43.331712, 44.204056, 49.158225, 73.933288], [29.968666, 34.421942, 35.600909, 37.547442, 40.036630]]
### 4
mean: [1.959601, 1.177313, -0.727590, 0.541242, 3.119712]
std: [1.688529, 1.820182, 1.674788, 0.197830, 3.594133]
pca: [[0.360552, -0.468154, 0.113381, -0.425463, 0.675988, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.388624, 0.540813, -0.041427, 0.539361, 0.513678, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.357476, -0.447922, 0.541520, 0.593115, 0.162935, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.036353, 0.455102, 0.811971, -0.357726, -0.065550, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.768025, -0.283903, 0.181352, 0.219812, -0.498328, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.865694, 29.125199, 32.866591, 37.365835, 176.364113], [30.164394, 30.924721, 33.930245, 41.117098, 105.958135], [27.833248, 28.264299, 31.545255, 38.109662, 65.483069], [2.634141, 2.732385, 3.073749, 3.474471, 48.711764], [60.761337, 61.740715, 68.957329, 80.151583, 280.774127]]
### 6
mean: [1.184945, -0.423616, 0.650914, 3.123885, -0.620675]
std: [0.670102, 0.331757, 0.643944, 3.624356, 0.583632]
pca: [[0.175768, 0.333419, 0.240273, -0.480612, 0.754466, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.086467, -0.246608, 0.918913, -0.146300, -0.256714, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.164880, 0.842969, 0.241110, 0.430611, -0.136596, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.954507, 0.007019, 0.107522, 0.262115, -0.092743, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.152838, -0.342594, 0.167845, 0.702480, 0.581050, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.225412, 11.326572, 11.792072, 15.327460, 106.645039], [5.531590, 5.725814, 5.757014, 7.599331, 38.125449], [10.773634, 11.079775, 13.344174, 14.432876, 58.582291], [61.145256, 62.001701, 69.095707, 81.283873, 281.149684], [9.759442, 9.936005, 10.114174, 13.399842, 55.860768]]
### 8
mean: [-0.013489, 0.008135, 2.920912, -1.856315, -2.022956]
std: [1.825990, 1.226851, 2.719108, 1.783497, 0.846718]
pca: [[-0.453964, 0.619484, -0.042331, 0.619528, 0.156682, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.304506, 0.511145, 0.331558, -0.608665, -0.406944, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.677853, 0.365970, 0.571310, 0.103093, 0.263740, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.444628, -0.231551, 0.383135, -0.253529, 0.733226, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.209797, -0.409171, 0.644274, 0.413288, -0.450187, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.601703, 30.725503, 32.367928, 36.752840, 39.978182], [20.501401, 20.640687, 21.899771, 24.914401, 26.708137], [45.905263, 46.132061, 51.047392, 61.268565, 262.882129], [30.103662, 30.332852, 33.452270, 40.198016, 167.068367], [14.188244, 14.355558, 14.862421, 19.349489, 182.066009]]
### 10
mean: [-1.154357]
std: [2.135880]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.607897, 37.777530, 44.238740, 45.408654, 103.892143]]
## 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.
palindrome
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.05664566904306412, "std": 1.8803637027740479, "pca": [-0.4298602044582367, 0.05228596180677414, -0.523760199546814, 0.7332598567008972, 0.022173726931214333, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [26.25952008474926, 29.625441875933895, 33.79646939552968, 35.88208581596341, 35.96761818527321]}, "1": {"mean": -1.6216028928756714, "std": 2.4712142944335938, "pca": [0.17586712539196014, 0.9682297706604004, 0.0046476442366838455, 0.04259512200951576, -0.17252786457538605, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [33.94646553428639, 37.14576109768399, 38.21494358842645, 45.40610900071788, 145.9442744553089]}, "2": {"mean": 0.35999977588653564, "std": 2.341829538345337, "pca": [0.5741369724273682, -0.10769046097993851, 0.4473615884780884, 0.659095048904419, 0.15566255152225494, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [33.8205987163962, 37.1359498208257, 42.433106866899024, 44.92204199733355, 48.496451534905816]}, "3": {"mean": 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"fourier": [30.103662130362913, 30.332851927800743, 33.452269625261955, 40.198016152743314, 167.0683669447899]}, "4": {"mean": -2.0229556560516357, "std": 0.8467184901237488, "pca": [-0.2097969502210617, -0.409170925617218, 0.6442743539810181, 0.4132879972457886, -0.4501865804195404, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [14.188243507666007, 14.355557664549762, 14.862420524623406, 19.34948890623822, 182.06600868701935]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "10": {"neuron_profiles": {"0": {"mean": -1.1543571949005127, "std": 2.135880470275879, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [35.60789726980543, 37.77753028642551, 44.23873957813037, 45.408654168400886, 103.8921431005001]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.574144, 0.215817, -0.543268, -0.218854, 0.691631], [0.259477, -0.674799, 0.459541, -0.726957, -0.420428], [-0.429425, 0.289453, 0.487767, 0.043286, -1.130168], [0.462301, -0.125284, 0.204194, -0.046099, 0.996773], [-0.154623, -0.177297, -0.131613, -0.07153, -0.673903]], "network.0.bias": [-0.413267, 0.402645, 0.649104, 0.288417, 0.198394], "network.2.weight": [[0.399895, -0.382131, -0.66413, 0.300035, 0.057245], [0.494057, -0.382243, -0.251822, 0.431024, -0.112062], [-0.066693, -0.379921, -0.488303, -0.272841, -0.224234], [0.274922, -0.809255, -0.591341, 0.65022, -0.019033], [0.206267, -0.656994, -0.599292, 0.496289, -0.014422]], "network.2.bias": [0.058104, 0.476273, 0.172502, 0.120341, 0.031706], "network.4.weight": [[-0.088989, 0.446672, 0.181388, 0.31619, 0.381729], [0.569891, -0.118757, 0.367148, 0.570306, 0.275021], [-0.213089, 0.099455, 0.005496, -0.431173, -0.622875], [0.579352, -0.041024, -0.143504, -0.269971, 0.060107], [0.320005, 0.522073, 0.032553, 0.909072, 0.592667]], "network.4.bias": [0.601535, -0.117184, 0.467062, 0.454011, 0.3451], "network.6.weight": [[0.110169, 0.242046, 0.326253, -0.032941, 0.033564], [0.110292, 0.18699, -0.433545, -0.038671, -0.255859], [0.231126, 0.179582, 0.770165, 0.424304, -0.350847], [0.484485, 0.493284, 0.136941, -0.358501, 0.562578], [-0.212129, -0.215981, -0.384197, 0.059231, 0.021461]], "network.6.bias": [0.496326, 0.057844, 0.640631, -0.036966, 0.06427], "network.8.weight": [[0.227065, -0.402075, 0.642386, -0.461086, -0.02197], [0.106029, -0.312948, 0.536915, -0.287085, 0.282872], [0.320753, 0.251049, 0.16496, 0.712168, -0.061457], [-0.43312, -0.425962, -0.046439, -0.418185, -0.156393], [-0.543357, -0.149631, -0.238626, -0.162916, 0.108564]], "network.8.bias": [0.693965, 0.391611, 0.196989, -0.003197, -0.697864], "network.10.weight": [[0.67926, 0.361711, -0.584909, 0.383583, -0.10572]], "network.10.bias": [-0.158515]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6916062533855438, "train_acc": 0.57, "val_loss": 0.7027218341827393, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6710327863693237, "train_acc": 0.57, "val_loss": 0.6654221415519714, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6054250299930573, "train_acc": 0.645, "val_loss": 0.4180574119091034, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.43425285816192627, "train_acc": 0.84, "val_loss": 0.35241633653640747, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.518078088760376, "train_acc": 0.805, "val_loss": 0.42602744698524475, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.47378672659397125, "train_acc": 0.8, "val_loss": 0.34155669808387756, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.431826576590538, "train_acc": 0.805, "val_loss": 0.35711944103240967, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.41654640436172485, "train_acc": 0.825, "val_loss": 0.3807343542575836, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.4272003769874573, "train_acc": 0.83, "val_loss": 0.3657854497432709, "val_acc": 0.86}], "summary": {"total_epochs": 9, "degraded_epochs": 2, "improved_epochs": 7, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.7027218341827393, "final_val_loss": 0.6654221415519714, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.4180574119091034, "final_val_loss": 0.3657854497432709, "initial_val_acc": 0.86, "final_val_acc": 0.86, "best_val_acc": 0.88, "best_epoch": 6}, "improvement": 0.38, "first_improvement_epoch": 1}}
|
9,488
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.52, "improved_accuracy": 0.8, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5232, "learning_rate": 0.04657964536488532, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "increasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["increasing_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: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.12.weight": [
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"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [-1.975824, -0.650364, 1.995064, 2.714291, 0.171730, -0.536893, -0.887048]
std: [1.189039, 0.935483, 2.091689, 1.583529, 1.507654, 2.246423, 1.053715]
pca: [[0.231148, -0.292206, 0.421073, 0.049314, -0.003008, -0.354924, 0.745300, 0.000000, 0.000000, 0.000000], [-0.066902, -0.368044, 0.155562, 0.336246, -0.293344, 0.785717, 0.139303, 0.000000, 0.000000, 0.000000], [-0.512002, 0.272638, 0.755501, -0.258195, 0.085967, 0.094615, -0.098664, 0.000000, 0.000000, 0.000000], [-0.240978, 0.593745, -0.107566, 0.457652, -0.524792, -0.159009, 0.260173, 0.000000, 0.000000, 0.000000], [0.359524, 0.409432, 0.164694, 0.479315, 0.631684, 0.215303, 0.029339, 0.000000, 0.000000, 0.000000], [0.700609, 0.232950, 0.323939, -0.227080, -0.474024, 0.071277, -0.261916, 0.000000, 0.000000, 0.000000], [-0.042045, -0.361102, 0.289975, 0.571917, -0.086139, -0.413529, -0.527482, 0.000000, 0.000000, 0.000000]]
fourier: [[17.818773, 18.234053, 20.372251, 27.460093, 177.824209], [15.332897, 17.433733, 17.505506, 17.896139, 58.532756], [34.311864, 35.558574, 43.427707, 43.455641, 179.555705], [25.615723, 26.264087, 28.241960, 32.748038, 244.286178], [20.505302, 24.385801, 24.661074, 27.528022, 28.682494], [34.538234, 34.691996, 36.067225, 46.269982, 48.320392], [17.978963, 18.050596, 18.102399, 20.532227, 79.834336]]
### 2
mean: [-0.360785, -0.939934, 1.419118, 2.414050, -0.141445, 2.796027, -0.415980]
std: [1.229447, 0.972203, 1.192500, 1.329661, 1.595906, 2.106324, 0.653905]
pca: [[-0.366610, 0.215137, 0.209744, 0.608754, 0.578442, -0.123079, 0.234513, 0.000000, 0.000000, 0.000000], [0.150960, -0.483117, 0.529151, -0.333347, 0.526339, -0.072836, -0.265237, 0.000000, 0.000000, 0.000000], [0.354249, -0.120152, 0.524336, 0.180334, -0.276913, 0.350762, 0.594060, 0.000000, 0.000000, 0.000000], [0.291108, 0.599883, -0.074240, -0.520247, 0.390938, -0.003529, 0.355505, 0.000000, 0.000000, 0.000000], [-0.453315, 0.401670, 0.416571, -0.188774, -0.136642, 0.538115, -0.340238, 0.000000, 0.000000, 0.000000], [0.637352, 0.367232, 0.136289, 0.401797, 0.001380, -0.034603, -0.526980, 0.000000, 0.000000, 0.000000], [0.144429, -0.223205, -0.451065, 0.134334, 0.374415, 0.752154, -0.043505, 0.000000, 0.000000, 0.000000]]
fourier: [[18.920653, 20.328661, 21.095309, 22.341741, 32.470615], [15.388024, 16.649975, 17.164192, 19.752429, 84.594072], [19.316039, 19.945553, 21.410666, 25.223444, 127.720621], [18.521817, 21.880859, 26.537157, 27.538667, 217.264494], [22.956615, 23.432229, 23.604823, 26.367506, 28.218115], [33.370862, 37.519671, 39.073410, 40.704347, 251.642440], [10.171390, 10.451983, 11.716036, 13.713668, 37.438194]]
### 4
mean: [2.637172, 0.112083, -0.477279, 1.293013, 1.836217, -0.092562, -2.180827]
std: [2.080378, 0.820590, 1.432317, 0.861906, 1.563429, 0.487453, 1.574389]
pca: [[0.631240, 0.106963, -0.322323, -0.118362, 0.565627, -0.388583, 0.035548, 0.000000, 0.000000, 0.000000], [-0.109243, 0.510945, -0.189761, -0.057408, 0.363497, 0.692423, 0.275893, 0.000000, 0.000000, 0.000000], [-0.394255, 0.425152, 0.143487, -0.007700, 0.013206, -0.569210, 0.564789, 0.000000, 0.000000, 0.000000], [0.064960, 0.578559, 0.000288, 0.626369, -0.098754, -0.115337, -0.495637, 0.000000, 0.000000, 0.000000], [0.473996, -0.097816, -0.105257, 0.467083, -0.413707, 0.139701, 0.588085, 0.000000, 0.000000, 0.000000], [0.102526, -0.176004, 0.776490, 0.319242, 0.486109, 0.092909, 0.093410, 0.000000, 0.000000, 0.000000], [-0.441318, -0.414083, -0.474863, 0.519823, 0.361323, -0.064050, 0.058369, 0.000000, 0.000000, 0.000000]]
fourier: [[33.831917, 36.091597, 36.383534, 39.438375, 237.345450], [11.184119, 12.323627, 13.655792, 14.659416, 16.013425], [21.331342, 22.329639, 23.824808, 28.772964, 42.955140], [12.627334, 14.774893, 15.871695, 17.534332, 116.371130], [24.705756, 25.982487, 28.387476, 29.337309, 165.259568], [6.781717, 7.181018, 7.560207, 8.330537, 9.358738], [25.579650, 27.437820, 29.679463, 33.533573, 196.274416]]
### 6
mean: [-0.932785, 1.883201, -1.688104, -0.471033, -0.373128, -1.490769, 2.100221]
std: [0.583307, 1.508629, 2.243541, 0.415033, 0.478469, 0.968545, 1.426065]
pca: [[0.176332, 0.161888, -0.306754, 0.623844, 0.034681, -0.371623, 0.565785, 0.000000, 0.000000, 0.000000], [-0.471429, -0.097923, 0.486743, -0.301572, 0.166329, -0.423476, 0.483016, 0.000000, 0.000000, 0.000000], [0.688785, -0.492173, 0.020038, -0.284541, 0.401850, -0.046044, 0.195888, 0.000000, 0.000000, 0.000000], [0.125563, -0.075232, 0.737827, 0.582318, 0.147873, 0.249457, -0.104864, 0.000000, 0.000000, 0.000000], [0.054210, 0.493733, 0.022044, -0.211696, 0.190690, 0.648296, 0.501335, 0.000000, 0.000000, 0.000000], [0.239690, 0.657036, 0.130606, -0.125013, 0.423530, -0.416730, -0.353729, 0.000000, 0.000000, 0.000000], [-0.442810, -0.202090, -0.326572, 0.198422, 0.756334, 0.155769, -0.144061, 0.000000, 0.000000, 0.000000]]
fourier: [[9.306505, 9.704931, 10.338392, 11.468614, 83.950657], [23.668818, 24.191091, 26.890671, 29.051729, 169.488090], [33.901675, 34.769294, 39.347281, 43.744538, 151.929341], [6.292146, 6.322447, 6.762923, 8.112668, 42.392993], [6.992808, 7.603187, 8.105873, 9.891938, 33.581552], [15.007717, 15.122925, 18.127822, 20.562004, 134.169172], [22.892178, 24.280679, 24.435194, 27.138507, 189.019886]]
### 8
mean: [2.903033, -1.232890, 2.125128, -1.393744, -0.320637, 2.121647, -0.632678]
std: [1.879588, 0.938090, 1.658360, 1.019704, 0.633291, 1.408254, 0.762742]
pca: [[0.566654, 0.010760, 0.134975, 0.599774, -0.210442, 0.360747, 0.355551, 0.000000, 0.000000, 0.000000], [-0.282529, -0.097787, 0.202144, 0.130718, 0.760792, 0.089347, 0.515633, 0.000000, 0.000000, 0.000000], [0.496222, 0.503058, 0.015196, -0.495384, 0.100574, -0.303310, 0.391087, 0.000000, 0.000000, 0.000000], [-0.306740, -0.135784, 0.602199, -0.332931, -0.502965, 0.156522, 0.369478, 0.000000, 0.000000, 0.000000], [-0.175729, 0.614691, -0.021243, -0.132194, 0.087632, 0.726891, -0.193125, 0.000000, 0.000000, 0.000000], [0.423448, -0.233991, 0.603951, -0.190649, 0.323557, 0.112010, -0.497595, 0.000000, 0.000000, 0.000000], [-0.220379, 0.534996, 0.461342, 0.461642, -0.038107, -0.452178, -0.182608, 0.000000, 0.000000, 0.000000]]
fourier: [[28.370376, 28.795948, 34.058282, 35.864864, 261.272947], [14.438502, 14.626754, 16.768824, 17.928684, 110.960094], [25.691082, 27.881241, 28.048667, 32.024387, 191.261490], [15.393363, 16.041159, 18.264961, 20.005804, 125.436911], [9.061319, 10.625832, 10.953646, 12.690062, 28.857334], [21.707475, 22.006657, 25.957567, 26.312204, 190.948207], [11.164958, 12.402070, 13.535868, 15.262169, 56.940991]]
### 10
mean: [-2.440748, 3.826113, 4.127468, -0.965326, 3.510182, 4.101451, 2.899449]
std: [1.561544, 2.588296, 2.607607, 0.702407, 2.308903, 2.709152, 1.953761]
pca: [[-0.272462, 0.152542, 0.184526, 0.794318, 0.170209, 0.190680, 0.414939, 0.000000, 0.000000, 0.000000], [0.449517, 0.809071, 0.032339, 0.189915, -0.141060, -0.101178, -0.275845, 0.000000, 0.000000, 0.000000], [0.455218, 0.020886, -0.516980, -0.070443, 0.195661, -0.196125, 0.665854, 0.000000, 0.000000, 0.000000], [-0.120617, 0.386582, 0.468265, -0.553990, 0.097811, 0.323928, 0.441965, 0.000000, 0.000000, 0.000000], [0.402934, -0.190268, -0.134851, 0.079960, -0.250733, 0.843863, -0.043508, 0.000000, 0.000000, 0.000000], [0.472757, -0.237041, 0.429263, 0.059183, 0.704878, -0.016459, -0.188198, 0.000000, 0.000000, 0.000000], [0.340693, -0.282601, 0.525274, 0.105963, -0.586141, -0.312465, 0.275189, 0.000000, 0.000000, 0.000000]]
fourier: [[23.632045, 24.101694, 27.901566, 30.074965, 219.667363], [40.643859, 43.488824, 43.610267, 50.847236, 344.350214], [39.865890, 39.990295, 46.032524, 50.448714, 371.472104], [10.408074, 11.641504, 12.883406, 13.255584, 86.879352], [34.930324, 35.370191, 41.339883, 44.516924, 315.916391], [40.830441, 41.398505, 48.645201, 52.447299, 369.130608], [29.154541, 30.081765, 35.401654, 37.743214, 260.950436]]
### 12
mean: [-9.020835]
std: [5.373833]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[85.802377, 87.685329, 93.797405, 107.560920, 811.875137]]
## 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.
|
increasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
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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]
],
"network.2.bias": [
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[
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],
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[
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]
],
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"network.12.weight": [
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"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [-1.975824, -0.650364, 1.995064, 2.714291, 0.171730, -0.536893, -0.887048]
std: [1.189039, 0.935483, 2.091689, 1.583529, 1.507654, 2.246423, 1.053715]
pca: [[0.231148, -0.292206, 0.421073, 0.049314, -0.003008, -0.354924, 0.745300, 0.000000, 0.000000, 0.000000], [-0.066902, -0.368044, 0.155562, 0.336246, -0.293344, 0.785717, 0.139303, 0.000000, 0.000000, 0.000000], [-0.512002, 0.272638, 0.755501, -0.258195, 0.085967, 0.094615, -0.098664, 0.000000, 0.000000, 0.000000], [-0.240978, 0.593745, -0.107566, 0.457652, -0.524792, -0.159009, 0.260173, 0.000000, 0.000000, 0.000000], [0.359524, 0.409432, 0.164694, 0.479315, 0.631684, 0.215303, 0.029339, 0.000000, 0.000000, 0.000000], [0.700609, 0.232950, 0.323939, -0.227080, -0.474024, 0.071277, -0.261916, 0.000000, 0.000000, 0.000000], [-0.042045, -0.361102, 0.289975, 0.571917, -0.086139, -0.413529, -0.527482, 0.000000, 0.000000, 0.000000]]
fourier: [[17.818773, 18.234053, 20.372251, 27.460093, 177.824209], [15.332897, 17.433733, 17.505506, 17.896139, 58.532756], [34.311864, 35.558574, 43.427707, 43.455641, 179.555705], [25.615723, 26.264087, 28.241960, 32.748038, 244.286178], [20.505302, 24.385801, 24.661074, 27.528022, 28.682494], [34.538234, 34.691996, 36.067225, 46.269982, 48.320392], [17.978963, 18.050596, 18.102399, 20.532227, 79.834336]]
### 2
mean: [-0.360785, -0.939934, 1.419118, 2.414050, -0.141445, 2.796027, -0.415980]
std: [1.229447, 0.972203, 1.192500, 1.329661, 1.595906, 2.106324, 0.653905]
pca: [[-0.366610, 0.215137, 0.209744, 0.608754, 0.578442, -0.123079, 0.234513, 0.000000, 0.000000, 0.000000], [0.150960, -0.483117, 0.529151, -0.333347, 0.526339, -0.072836, -0.265237, 0.000000, 0.000000, 0.000000], [0.354249, -0.120152, 0.524336, 0.180334, -0.276913, 0.350762, 0.594060, 0.000000, 0.000000, 0.000000], [0.291108, 0.599883, -0.074240, -0.520247, 0.390938, -0.003529, 0.355505, 0.000000, 0.000000, 0.000000], [-0.453315, 0.401670, 0.416571, -0.188774, -0.136642, 0.538115, -0.340238, 0.000000, 0.000000, 0.000000], [0.637352, 0.367232, 0.136289, 0.401797, 0.001380, -0.034603, -0.526980, 0.000000, 0.000000, 0.000000], [0.144429, -0.223205, -0.451065, 0.134334, 0.374415, 0.752154, -0.043505, 0.000000, 0.000000, 0.000000]]
fourier: [[18.920653, 20.328661, 21.095309, 22.341741, 32.470615], [15.388024, 16.649975, 17.164192, 19.752429, 84.594072], [19.316039, 19.945553, 21.410666, 25.223444, 127.720621], [18.521817, 21.880859, 26.537157, 27.538667, 217.264494], [22.956615, 23.432229, 23.604823, 26.367506, 28.218115], [33.370862, 37.519671, 39.073410, 40.704347, 251.642440], [10.171390, 10.451983, 11.716036, 13.713668, 37.438194]]
### 4
mean: [2.637172, 0.112083, -0.477279, 1.293013, 1.836217, -0.092562, -2.180827]
std: [2.080378, 0.820590, 1.432317, 0.861906, 1.563429, 0.487453, 1.574389]
pca: [[0.631240, 0.106963, -0.322323, -0.118362, 0.565627, -0.388583, 0.035548, 0.000000, 0.000000, 0.000000], [-0.109243, 0.510945, -0.189761, -0.057408, 0.363497, 0.692423, 0.275893, 0.000000, 0.000000, 0.000000], [-0.394255, 0.425152, 0.143487, -0.007700, 0.013206, -0.569210, 0.564789, 0.000000, 0.000000, 0.000000], [0.064960, 0.578559, 0.000288, 0.626369, -0.098754, -0.115337, -0.495637, 0.000000, 0.000000, 0.000000], [0.473996, -0.097816, -0.105257, 0.467083, -0.413707, 0.139701, 0.588085, 0.000000, 0.000000, 0.000000], [0.102526, -0.176004, 0.776490, 0.319242, 0.486109, 0.092909, 0.093410, 0.000000, 0.000000, 0.000000], [-0.441318, -0.414083, -0.474863, 0.519823, 0.361323, -0.064050, 0.058369, 0.000000, 0.000000, 0.000000]]
fourier: [[33.831917, 36.091597, 36.383534, 39.438375, 237.345450], [11.184119, 12.323627, 13.655792, 14.659416, 16.013425], [21.331342, 22.329639, 23.824808, 28.772964, 42.955140], [12.627334, 14.774893, 15.871695, 17.534332, 116.371130], [24.705756, 25.982487, 28.387476, 29.337309, 165.259568], [6.781717, 7.181018, 7.560207, 8.330537, 9.358738], [25.579650, 27.437820, 29.679463, 33.533573, 196.274416]]
### 6
mean: [-0.932785, 1.883201, -1.688104, -0.471033, -0.373128, -1.490769, 2.100221]
std: [0.583307, 1.508629, 2.243541, 0.415033, 0.478469, 0.968545, 1.426065]
pca: [[0.176332, 0.161888, -0.306754, 0.623844, 0.034681, -0.371623, 0.565785, 0.000000, 0.000000, 0.000000], [-0.471429, -0.097923, 0.486743, -0.301572, 0.166329, -0.423476, 0.483016, 0.000000, 0.000000, 0.000000], [0.688785, -0.492173, 0.020038, -0.284541, 0.401850, -0.046044, 0.195888, 0.000000, 0.000000, 0.000000], [0.125563, -0.075232, 0.737827, 0.582318, 0.147873, 0.249457, -0.104864, 0.000000, 0.000000, 0.000000], [0.054210, 0.493733, 0.022044, -0.211696, 0.190690, 0.648296, 0.501335, 0.000000, 0.000000, 0.000000], [0.239690, 0.657036, 0.130606, -0.125013, 0.423530, -0.416730, -0.353729, 0.000000, 0.000000, 0.000000], [-0.442810, -0.202090, -0.326572, 0.198422, 0.756334, 0.155769, -0.144061, 0.000000, 0.000000, 0.000000]]
fourier: [[9.306505, 9.704931, 10.338392, 11.468614, 83.950657], [23.668818, 24.191091, 26.890671, 29.051729, 169.488090], [33.901675, 34.769294, 39.347281, 43.744538, 151.929341], [6.292146, 6.322447, 6.762923, 8.112668, 42.392993], [6.992808, 7.603187, 8.105873, 9.891938, 33.581552], [15.007717, 15.122925, 18.127822, 20.562004, 134.169172], [22.892178, 24.280679, 24.435194, 27.138507, 189.019886]]
### 8
mean: [2.903033, -1.232890, 2.125128, -1.393744, -0.320637, 2.121647, -0.632678]
std: [1.879588, 0.938090, 1.658360, 1.019704, 0.633291, 1.408254, 0.762742]
pca: [[0.566654, 0.010760, 0.134975, 0.599774, -0.210442, 0.360747, 0.355551, 0.000000, 0.000000, 0.000000], [-0.282529, -0.097787, 0.202144, 0.130718, 0.760792, 0.089347, 0.515633, 0.000000, 0.000000, 0.000000], [0.496222, 0.503058, 0.015196, -0.495384, 0.100574, -0.303310, 0.391087, 0.000000, 0.000000, 0.000000], [-0.306740, -0.135784, 0.602199, -0.332931, -0.502965, 0.156522, 0.369478, 0.000000, 0.000000, 0.000000], [-0.175729, 0.614691, -0.021243, -0.132194, 0.087632, 0.726891, -0.193125, 0.000000, 0.000000, 0.000000], [0.423448, -0.233991, 0.603951, -0.190649, 0.323557, 0.112010, -0.497595, 0.000000, 0.000000, 0.000000], [-0.220379, 0.534996, 0.461342, 0.461642, -0.038107, -0.452178, -0.182608, 0.000000, 0.000000, 0.000000]]
fourier: [[28.370376, 28.795948, 34.058282, 35.864864, 261.272947], [14.438502, 14.626754, 16.768824, 17.928684, 110.960094], [25.691082, 27.881241, 28.048667, 32.024387, 191.261490], [15.393363, 16.041159, 18.264961, 20.005804, 125.436911], [9.061319, 10.625832, 10.953646, 12.690062, 28.857334], [21.707475, 22.006657, 25.957567, 26.312204, 190.948207], [11.164958, 12.402070, 13.535868, 15.262169, 56.940991]]
### 10
mean: [-2.440748, 3.826113, 4.127468, -0.965326, 3.510182, 4.101451, 2.899449]
std: [1.561544, 2.588296, 2.607607, 0.702407, 2.308903, 2.709152, 1.953761]
pca: [[-0.272462, 0.152542, 0.184526, 0.794318, 0.170209, 0.190680, 0.414939, 0.000000, 0.000000, 0.000000], [0.449517, 0.809071, 0.032339, 0.189915, -0.141060, -0.101178, -0.275845, 0.000000, 0.000000, 0.000000], [0.455218, 0.020886, -0.516980, -0.070443, 0.195661, -0.196125, 0.665854, 0.000000, 0.000000, 0.000000], [-0.120617, 0.386582, 0.468265, -0.553990, 0.097811, 0.323928, 0.441965, 0.000000, 0.000000, 0.000000], [0.402934, -0.190268, -0.134851, 0.079960, -0.250733, 0.843863, -0.043508, 0.000000, 0.000000, 0.000000], [0.472757, -0.237041, 0.429263, 0.059183, 0.704878, -0.016459, -0.188198, 0.000000, 0.000000, 0.000000], [0.340693, -0.282601, 0.525274, 0.105963, -0.586141, -0.312465, 0.275189, 0.000000, 0.000000, 0.000000]]
fourier: [[23.632045, 24.101694, 27.901566, 30.074965, 219.667363], [40.643859, 43.488824, 43.610267, 50.847236, 344.350214], [39.865890, 39.990295, 46.032524, 50.448714, 371.472104], [10.408074, 11.641504, 12.883406, 13.255584, 86.879352], [34.930324, 35.370191, 41.339883, 44.516924, 315.916391], [40.830441, 41.398505, 48.645201, 52.447299, 369.130608], [29.154541, 30.081765, 35.401654, 37.743214, 260.950436]]
### 12
mean: [-9.020835]
std: [5.373833]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[85.802377, 87.685329, 93.797405, 107.560920, 811.875137]]
## 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.
increasing_pairs
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.074237, -0.27747, -0.338263, 0.118759, -0.302284], [0.269991, -0.229409, -0.094132, -0.050539, -0.407623], [0.366574, 0.654895, -0.017679, 0.431585, -0.482621], [0.245614, 0.246587, 0.214323, 0.304576, 0.39803], [-0.201153, -0.108016, -0.374239, 0.331846, 0.56577], [-0.678129, -0.389535, -0.365924, 0.427501, 0.399554], [0.34452, -0.266093, -0.232904, 0.030139, -0.415088]], "network.0.bias": [-0.553091, 0.239424, 0.05217, 0.367555, -0.008781, 0.371658, 0.102917], "network.2.weight": [[-0.051967, -0.049267, -0.52041, 0.088695, 0.529203, -0.025867, -0.07512], [-0.13073, 0.051917, 0.050697, -0.088479, -0.214688, -0.703806, -0.087833], [-0.165265, -0.232073, 0.277922, 0.254152, -0.466954, -0.376345, -0.379802], [0.063587, 0.101174, 0.348943, 0.448398, 0.312639, -0.121328, 0.272479], [0.463395, 0.549248, -0.729474, 0.341397, 0.291968, 0.361642, 0.264291], [-0.490364, -0.576454, 0.732699, 0.484197, -0.166289, -0.384889, -0.395272], [0.178718, 0.140513, 0.352027, -0.343522, 0.068178, -0.164673, -0.459067]], "network.2.bias": [0.174428, -0.332166, 0.613475, 0.411548, 0.112949, 0.271148, -0.147665], "network.4.weight": [[-0.139634, -0.269586, 0.641005, 0.273701, -0.361288, 0.436252, -0.368595], [0.195573, 0.648808, -0.15487, 0.212988, 0.540622, -0.007123, 0.340694], [0.526618, 0.018954, -0.591686, 0.087152, 0.477149, -0.145087, 0.284456], [-0.070663, 0.506365, -0.132528, 0.369768, 0.556334, 0.16379, -0.298202], [-0.593865, -0.466447, 0.466156, 0.124044, -0.167708, 0.32259, -0.597009], [-0.497731, -0.323342, -0.086912, 0.387709, -0.345051, -0.181102, -0.104901], [0.089243, 0.122073, 0.153857, -0.539306, 0.139553, -0.455944, 0.018791]], "network.4.bias": [0.025156, -0.332216, 0.248474, -0.011162, 0.117501, -0.176907, 0.06299], "network.6.weight": [[-0.170105, 0.131715, 0.148085, -0.233801, -0.053731, 0.084309, 0.295704], [0.333969, -0.287541, -0.39211, 0.228125, 0.331645, 0.039938, -0.267105], [-0.464002, 0.582869, 0.471855, 0.291015, -0.538833, 0.039428, -0.183299], [-0.159409, 0.043173, -0.038837, 0.214843, -0.112632, 0.345467, 0.375137], [-0.037961, -0.078011, -0.091723, -0.307477, -0.105775, -0.059868, -0.251693], [-0.250937, -0.002429, -0.055277, -0.37717, -0.185038, -0.027813, -0.28863], [0.3857, -0.011676, -0.22419, -0.027109, 0.377069, 0.122571, -0.489213]], "network.6.bias": [-0.152251, 0.249, -0.054767, -0.084412, 0.313342, -0.04121, 0.438265], "network.8.weight": [[-0.338741, 0.573882, -0.420865, -0.287145, -0.261444, -0.35796, 0.565372], [-0.219515, -0.298575, 0.189984, 0.193854, 0.171572, -0.138341, -0.265885], [-0.262738, 0.502336, -0.236669, 0.160021, -0.448191, -0.136518, 0.577878], [-0.016683, -0.512458, 0.239957, -0.442096, -0.198827, -0.019724, -0.152208], [-0.08541, -0.190967, 0.362122, 0.271086, 0.118917, -0.09592, -0.027237], [-0.593637, 0.226037, -0.407808, -0.213684, -0.579437, -0.237283, 0.559591], [-0.45347, -0.090271, 0.439273, -0.300144, 0.130939, -0.478052, -0.224405]], "network.8.bias": [0.641398, -0.177639, -0.015635, -0.229543, 0.014532, 0.496879, -0.235784], "network.10.weight": [[-0.211857, -0.033136, -0.136546, 0.193832, 0.128677, -0.620242, 0.609963], [0.567803, -0.238872, 0.530939, -0.160006, -0.182752, 0.513, -0.211823], [0.29733, -0.09969, 0.494869, -0.587056, -0.509582, 0.81578, -0.421783], [-0.092396, 0.148209, -0.147811, 0.122676, 0.265369, -0.101754, 0.288831], [0.60681, -0.512717, 0.243928, 0.037455, -0.347051, 0.463315, -0.631863], [0.772799, -0.570233, 0.238227, -0.55981, -0.269151, 0.55268, -0.596874], [0.77447, -0.144615, 0.037816, -0.335826, -0.294879, 0.236986, -0.535404]], "network.10.bias": [-0.170328, -0.112903, 0.397297, -0.140326, 0.164542, 0.055977, -0.01047], "network.12.weight": [[0.370095, -0.194899, -0.748147, 0.086364, -0.385839, -0.588794, -0.465288]], "network.12.bias": [0.156639]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6877777874469757, "train_acc": 0.555, "val_loss": 0.6897021532058716, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6660673022270203, "train_acc": 0.57, "val_loss": 0.6532336473464966, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6095343828201294, "train_acc": 0.575, "val_loss": 0.5428737998008728, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4842017590999603, "train_acc": 0.78, "val_loss": 0.5112684369087219, "val_acc": 0.7}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4319086819887161, "train_acc": 0.79, "val_loss": 0.5623858571052551, "val_acc": 0.7}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.4439471662044525, "train_acc": 0.795, "val_loss": 0.48450323939323425, "val_acc": 0.74}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.39001576602458954, "train_acc": 0.835, "val_loss": 0.4164055585861206, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3886677324771881, "train_acc": 0.84, "val_loss": 0.43287917971611023, "val_acc": 0.78}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.35403650999069214, "train_acc": 0.845, "val_loss": 0.4412738084793091, "val_acc": 0.76}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.3684461712837219, "train_acc": 0.845, "val_loss": 0.4549120366573334, "val_acc": 0.76}], "summary": {"total_epochs": 10, "degraded_epochs": 2, "improved_epochs": 8, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6897021532058716, "final_val_loss": 0.6532336473464966, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.5428737998008728, "final_val_loss": 0.4549120366573334, "initial_val_acc": 0.74, "final_val_acc": 0.76, "best_val_acc": 0.8, "best_epoch": 6}, "improvement": 0.28, "first_improvement_epoch": 1}}
|
9,489
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.52, "improved_accuracy": 0.84, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9728, "learning_rate": 0.05969327870546965, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "increasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["increasing_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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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[
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[
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## Activation Signature
### 0
mean: [1.492638, 3.407532, 1.109172, 1.656412, -0.056117, 2.620571, 0.198301, -2.470473]
std: [1.748726, 2.477252, 1.535461, 1.807697, 2.093593, 2.058993, 1.581164, 1.932589]
pca: [[0.359486, 0.023598, 0.144511, 0.718486, -0.185328, -0.230846, -0.054087, -0.492490, 0.000000, 0.000000], [0.540118, 0.285132, 0.008625, 0.175030, 0.365894, 0.579858, 0.273796, 0.226238, 0.000000, 0.000000], [0.309499, -0.244866, 0.032218, -0.339404, -0.201818, -0.238993, 0.775692, -0.168736, 0.000000, 0.000000], [0.399682, -0.168104, 0.118675, 0.091999, -0.029395, -0.494001, -0.181471, 0.715273, 0.000000, 0.000000], [-0.345095, 0.522935, -0.244442, 0.259313, 0.320790, -0.450240, 0.398599, 0.126291, 0.000000, 0.000000], [0.325673, 0.506300, 0.269118, -0.500789, 0.223512, -0.286078, -0.297190, -0.307022, 0.000000, 0.000000], [0.126892, -0.505941, -0.372479, -0.011454, 0.703617, -0.157322, -0.116595, -0.235857, 0.000000, 0.000000], [-0.286795, -0.210111, 0.832468, 0.106395, 0.377147, 0.003623, 0.163350, 0.018516, 0.000000, 0.000000]]
fourier: [[27.329171, 28.955953, 29.909616, 33.050384, 134.337391], [40.882792, 41.018635, 45.135037, 52.380650, 306.677910], [24.086234, 25.760489, 25.776359, 27.251137, 99.825525], [27.889041, 31.242526, 32.202235, 32.624976, 149.077108], [31.758109, 31.837254, 33.601952, 35.819426, 38.832293], [34.271082, 37.164235, 37.170789, 43.244873, 235.851386], [23.879960, 23.932669, 24.249192, 28.542527, 31.637846], [29.982540, 30.025001, 36.441082, 41.022003, 222.342622]]
### 2
mean: [-1.918545, -3.727736, -0.534731, -2.699637, -3.672289, -1.588335, -4.016756, 5.075719]
std: [1.604083, 2.798750, 1.608138, 2.143387, 2.237908, 0.827746, 2.886870, 4.204217]
pca: [[-0.225678, -0.079125, 0.438871, -0.470690, 0.453985, -0.346823, -0.447536, 0.044428, 0.000000, 0.000000], [-0.405779, 0.081988, 0.171069, -0.480788, -0.107451, 0.414089, 0.385348, -0.486509, 0.000000, 0.000000], [-0.208961, -0.502264, -0.552530, -0.119300, 0.505381, -0.035958, 0.331614, 0.133693, 0.000000, 0.000000], [-0.300517, -0.240918, 0.602116, 0.454817, 0.030179, -0.136591, 0.464266, 0.217105, 0.000000, 0.000000], [-0.305301, 0.672944, -0.227768, -0.109207, -0.026967, -0.496696, 0.306025, 0.221468, 0.000000, 0.000000], [-0.115337, 0.199417, 0.062440, -0.140467, 0.089368, 0.613883, -0.080807, 0.729336, 0.000000, 0.000000], [-0.415940, 0.295533, -0.115316, 0.542263, 0.426177, 0.235678, -0.307695, -0.316955, 0.000000, 0.000000], [0.609032, 0.311040, 0.203024, -0.022265, 0.579388, 0.095868, 0.361734, -0.122011, 0.000000, 0.000000]]
fourier: [[25.475394, 28.366027, 29.215931, 31.533856, 172.669045], [45.685592, 47.654880, 50.475813, 56.624436, 335.496289], [23.623712, 24.261456, 26.861365, 28.963135, 48.125749], [34.287812, 37.368828, 37.552514, 40.499980, 242.967311], [37.400184, 37.873591, 42.190016, 49.456516, 330.506041], [12.993241, 14.000792, 16.105360, 17.911837, 142.950170], [48.469473, 50.418829, 53.064309, 57.238209, 361.508015], [70.374840, 70.467978, 71.149501, 78.643824, 456.814738]]
### 4
mean: [-3.153244, -0.962879, -2.434711, 1.646641, -2.341927, 3.381161, 1.613864, 1.637222]
std: [2.385593, 0.417137, 1.914434, 1.666290, 1.902017, 2.911736, 1.392269, 1.388840]
pca: [[-0.446986, 0.646238, -0.218577, 0.345933, -0.016964, -0.073904, -0.278333, -0.363201, 0.000000, 0.000000], [-0.075039, 0.284575, 0.064158, 0.092398, 0.031542, 0.617990, 0.718971, -0.030111, 0.000000, 0.000000], [-0.361020, 0.176557, 0.694701, -0.260046, 0.316135, -0.391349, 0.186976, 0.014269, 0.000000, 0.000000], [0.314175, 0.167790, 0.507095, -0.129387, 0.013653, 0.524880, -0.523339, -0.222901, 0.000000, 0.000000], [-0.358487, 0.224437, -0.027683, -0.318905, -0.409480, 0.192686, -0.201645, 0.687885, 0.000000, 0.000000], [0.547690, 0.539723, -0.110655, -0.399546, -0.282048, -0.330097, 0.196756, -0.098109, 0.000000, 0.000000], [0.261584, 0.298127, -0.204179, 0.093271, 0.743578, 0.028499, -0.121773, 0.473029, 0.000000, 0.000000], [0.261970, 0.107307, 0.391986, 0.719299, -0.313779, -0.192534, 0.050644, 0.332749, 0.000000, 0.000000]]
fourier: [[39.821551, 40.402727, 42.037472, 45.750511, 283.791971], [6.831246, 7.101354, 7.857146, 8.500249, 86.659096], [32.025519, 32.410027, 32.445395, 35.386024, 219.124040], [26.909707, 27.359156, 28.406393, 29.333998, 148.197712], [31.893417, 32.129251, 32.434821, 35.353802, 210.773473], [47.280604, 48.311655, 49.761251, 50.047309, 304.304533], [22.516484, 23.307005, 23.725345, 23.804828, 145.247755], [22.572475, 22.867118, 23.657358, 24.604627, 147.349948]]
### 6
mean: [-0.101762, -1.686217, -2.265982, -0.896321, -0.273788, 4.835996, 4.630598, 4.489484]
std: [0.019711, 1.155747, 1.668907, 1.098231, 0.079352, 4.036893, 4.004968, 3.693902]
pca: [[0.002302, -0.166112, 0.375006, 0.028016, -0.331463, 0.833124, 0.106322, 0.125380, 0.000000, 0.000000], [-0.161292, 0.525349, -0.322970, 0.155000, 0.077970, 0.284643, -0.555947, 0.416511, 0.000000, 0.000000], [-0.232979, -0.041639, 0.670789, 0.011777, -0.102817, -0.407807, -0.182262, 0.532723, 0.000000, 0.000000], [-0.153284, 0.394887, -0.123576, 0.111927, 0.028546, -0.017799, 0.802839, 0.383519, 0.000000, 0.000000], [0.011041, -0.092415, 0.256699, 0.004489, 0.933347, 0.226097, 0.038799, 0.040772, 0.000000, 0.000000], [0.563559, -0.047908, 0.064343, 0.814391, -0.015615, -0.083609, -0.008937, 0.073621, 0.000000, 0.000000], [0.559096, -0.311943, -0.271508, -0.435797, 0.015840, -0.007234, 0.005614, 0.571080, 0.000000, 0.000000], [0.515651, 0.656202, 0.382206, -0.330685, -0.032195, -0.009850, -0.015214, -0.216109, 0.000000, 0.000000]]
fourier: [[0.360422, 0.370985, 0.387346, 0.392763, 9.158616], [18.800020, 19.510886, 19.706808, 20.892235, 151.759567], [26.744506, 27.844340, 28.463707, 29.783989, 203.938387], [17.804397, 18.496525, 18.730848, 19.800644, 80.668911], [1.344486, 1.346255, 1.358723, 1.476605, 24.640878], [65.069976, 67.411117, 68.786483, 72.288202, 435.239690], [64.539770, 66.990971, 68.274103, 71.762014, 416.753819], [59.459317, 61.389358, 62.877956, 65.946865, 404.053564]]
### 8
mean: [-5.396021]
std: [4.765897]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[76.887095, 79.512920, 80.975257, 85.141377, 485.641991]]
## 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.
|
increasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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0.041344,
-0.285894,
-0.46633,
-0.467201
]
],
"network.8.bias": [
0.22635
]
}
## Activation Signature
### 0
mean: [1.492638, 3.407532, 1.109172, 1.656412, -0.056117, 2.620571, 0.198301, -2.470473]
std: [1.748726, 2.477252, 1.535461, 1.807697, 2.093593, 2.058993, 1.581164, 1.932589]
pca: [[0.359486, 0.023598, 0.144511, 0.718486, -0.185328, -0.230846, -0.054087, -0.492490, 0.000000, 0.000000], [0.540118, 0.285132, 0.008625, 0.175030, 0.365894, 0.579858, 0.273796, 0.226238, 0.000000, 0.000000], [0.309499, -0.244866, 0.032218, -0.339404, -0.201818, -0.238993, 0.775692, -0.168736, 0.000000, 0.000000], [0.399682, -0.168104, 0.118675, 0.091999, -0.029395, -0.494001, -0.181471, 0.715273, 0.000000, 0.000000], [-0.345095, 0.522935, -0.244442, 0.259313, 0.320790, -0.450240, 0.398599, 0.126291, 0.000000, 0.000000], [0.325673, 0.506300, 0.269118, -0.500789, 0.223512, -0.286078, -0.297190, -0.307022, 0.000000, 0.000000], [0.126892, -0.505941, -0.372479, -0.011454, 0.703617, -0.157322, -0.116595, -0.235857, 0.000000, 0.000000], [-0.286795, -0.210111, 0.832468, 0.106395, 0.377147, 0.003623, 0.163350, 0.018516, 0.000000, 0.000000]]
fourier: [[27.329171, 28.955953, 29.909616, 33.050384, 134.337391], [40.882792, 41.018635, 45.135037, 52.380650, 306.677910], [24.086234, 25.760489, 25.776359, 27.251137, 99.825525], [27.889041, 31.242526, 32.202235, 32.624976, 149.077108], [31.758109, 31.837254, 33.601952, 35.819426, 38.832293], [34.271082, 37.164235, 37.170789, 43.244873, 235.851386], [23.879960, 23.932669, 24.249192, 28.542527, 31.637846], [29.982540, 30.025001, 36.441082, 41.022003, 222.342622]]
### 2
mean: [-1.918545, -3.727736, -0.534731, -2.699637, -3.672289, -1.588335, -4.016756, 5.075719]
std: [1.604083, 2.798750, 1.608138, 2.143387, 2.237908, 0.827746, 2.886870, 4.204217]
pca: [[-0.225678, -0.079125, 0.438871, -0.470690, 0.453985, -0.346823, -0.447536, 0.044428, 0.000000, 0.000000], [-0.405779, 0.081988, 0.171069, -0.480788, -0.107451, 0.414089, 0.385348, -0.486509, 0.000000, 0.000000], [-0.208961, -0.502264, -0.552530, -0.119300, 0.505381, -0.035958, 0.331614, 0.133693, 0.000000, 0.000000], [-0.300517, -0.240918, 0.602116, 0.454817, 0.030179, -0.136591, 0.464266, 0.217105, 0.000000, 0.000000], [-0.305301, 0.672944, -0.227768, -0.109207, -0.026967, -0.496696, 0.306025, 0.221468, 0.000000, 0.000000], [-0.115337, 0.199417, 0.062440, -0.140467, 0.089368, 0.613883, -0.080807, 0.729336, 0.000000, 0.000000], [-0.415940, 0.295533, -0.115316, 0.542263, 0.426177, 0.235678, -0.307695, -0.316955, 0.000000, 0.000000], [0.609032, 0.311040, 0.203024, -0.022265, 0.579388, 0.095868, 0.361734, -0.122011, 0.000000, 0.000000]]
fourier: [[25.475394, 28.366027, 29.215931, 31.533856, 172.669045], [45.685592, 47.654880, 50.475813, 56.624436, 335.496289], [23.623712, 24.261456, 26.861365, 28.963135, 48.125749], [34.287812, 37.368828, 37.552514, 40.499980, 242.967311], [37.400184, 37.873591, 42.190016, 49.456516, 330.506041], [12.993241, 14.000792, 16.105360, 17.911837, 142.950170], [48.469473, 50.418829, 53.064309, 57.238209, 361.508015], [70.374840, 70.467978, 71.149501, 78.643824, 456.814738]]
### 4
mean: [-3.153244, -0.962879, -2.434711, 1.646641, -2.341927, 3.381161, 1.613864, 1.637222]
std: [2.385593, 0.417137, 1.914434, 1.666290, 1.902017, 2.911736, 1.392269, 1.388840]
pca: [[-0.446986, 0.646238, -0.218577, 0.345933, -0.016964, -0.073904, -0.278333, -0.363201, 0.000000, 0.000000], [-0.075039, 0.284575, 0.064158, 0.092398, 0.031542, 0.617990, 0.718971, -0.030111, 0.000000, 0.000000], [-0.361020, 0.176557, 0.694701, -0.260046, 0.316135, -0.391349, 0.186976, 0.014269, 0.000000, 0.000000], [0.314175, 0.167790, 0.507095, -0.129387, 0.013653, 0.524880, -0.523339, -0.222901, 0.000000, 0.000000], [-0.358487, 0.224437, -0.027683, -0.318905, -0.409480, 0.192686, -0.201645, 0.687885, 0.000000, 0.000000], [0.547690, 0.539723, -0.110655, -0.399546, -0.282048, -0.330097, 0.196756, -0.098109, 0.000000, 0.000000], [0.261584, 0.298127, -0.204179, 0.093271, 0.743578, 0.028499, -0.121773, 0.473029, 0.000000, 0.000000], [0.261970, 0.107307, 0.391986, 0.719299, -0.313779, -0.192534, 0.050644, 0.332749, 0.000000, 0.000000]]
fourier: [[39.821551, 40.402727, 42.037472, 45.750511, 283.791971], [6.831246, 7.101354, 7.857146, 8.500249, 86.659096], [32.025519, 32.410027, 32.445395, 35.386024, 219.124040], [26.909707, 27.359156, 28.406393, 29.333998, 148.197712], [31.893417, 32.129251, 32.434821, 35.353802, 210.773473], [47.280604, 48.311655, 49.761251, 50.047309, 304.304533], [22.516484, 23.307005, 23.725345, 23.804828, 145.247755], [22.572475, 22.867118, 23.657358, 24.604627, 147.349948]]
### 6
mean: [-0.101762, -1.686217, -2.265982, -0.896321, -0.273788, 4.835996, 4.630598, 4.489484]
std: [0.019711, 1.155747, 1.668907, 1.098231, 0.079352, 4.036893, 4.004968, 3.693902]
pca: [[0.002302, -0.166112, 0.375006, 0.028016, -0.331463, 0.833124, 0.106322, 0.125380, 0.000000, 0.000000], [-0.161292, 0.525349, -0.322970, 0.155000, 0.077970, 0.284643, -0.555947, 0.416511, 0.000000, 0.000000], [-0.232979, -0.041639, 0.670789, 0.011777, -0.102817, -0.407807, -0.182262, 0.532723, 0.000000, 0.000000], [-0.153284, 0.394887, -0.123576, 0.111927, 0.028546, -0.017799, 0.802839, 0.383519, 0.000000, 0.000000], [0.011041, -0.092415, 0.256699, 0.004489, 0.933347, 0.226097, 0.038799, 0.040772, 0.000000, 0.000000], [0.563559, -0.047908, 0.064343, 0.814391, -0.015615, -0.083609, -0.008937, 0.073621, 0.000000, 0.000000], [0.559096, -0.311943, -0.271508, -0.435797, 0.015840, -0.007234, 0.005614, 0.571080, 0.000000, 0.000000], [0.515651, 0.656202, 0.382206, -0.330685, -0.032195, -0.009850, -0.015214, -0.216109, 0.000000, 0.000000]]
fourier: [[0.360422, 0.370985, 0.387346, 0.392763, 9.158616], [18.800020, 19.510886, 19.706808, 20.892235, 151.759567], [26.744506, 27.844340, 28.463707, 29.783989, 203.938387], [17.804397, 18.496525, 18.730848, 19.800644, 80.668911], [1.344486, 1.346255, 1.358723, 1.476605, 24.640878], [65.069976, 67.411117, 68.786483, 72.288202, 435.239690], [64.539770, 66.990971, 68.274103, 71.762014, 416.753819], [59.459317, 61.389358, 62.877956, 65.946865, 404.053564]]
### 8
mean: [-5.396021]
std: [4.765897]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[76.887095, 79.512920, 80.975257, 85.141377, 485.641991]]
## 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.
increasing_pairs
|
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65.94686544063244, 404.05356415361166]}}, "layer_info": {"num_neurons": 8, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -5.396021366119385, "std": 4.765897274017334, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [76.88709514419088, 79.51291993139967, 80.97525724958165, 85.141377486208, 485.6419905424118]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.329427, 0.303799, 0.459516, 0.24309, -0.544666], [0.445539, 0.670255, 0.323768, 0.546554, -0.312977], [0.694896, 0.22455, -0.127882, 0.024529, -0.232485], [0.643574, 0.358664, 0.116175, 0.107056, -0.429714], [-0.919641, -0.207441, 0.190913, 0.191557, 0.508089], [0.07138, 0.635228, -0.146811, 0.647339, -0.107715], [0.574308, -0.004893, 0.061235, -0.451228, 0.080531], [-0.438702, -0.0323, -0.343452, -0.444935, -0.407444]], "network.0.bias": [-0.280322, 0.169365, 0.336495, 0.259683, 0.030106, 0.425554, 0.232923, 0.308411], "network.2.weight": [[0.14177, -0.451902, -0.251811, -0.449968, -0.26875, 0.189186, -0.046293, -0.308973], [0.030509, -0.576808, -0.297862, -0.39474, 0.000329, -0.190841, -0.280351, 0.263903], [-0.267732, 0.269981, -0.409544, -0.448681, 0.622289, -0.259569, 0.288387, 0.236607], [-0.40761, -0.359134, 0.069279, -0.468741, -0.086518, 0.133491, -0.373034, 0.034346], [0.144968, -0.506708, -0.052665, -0.234805, -0.131187, -0.434583, -0.055501, 0.298642], [-0.016083, -0.12054, -0.045164, -0.090609, -0.129741, -0.165865, -0.138288, 0.121304], [-0.662812, -0.154149, -0.227338, -0.216512, 0.041401, -0.542177, -0.190719, 0.197864], [0.439334, 0.511915, 0.359129, 0.513426, -0.645566, 0.429023, 0.381238, 0.280975]], "network.2.bias": [0.20539, -0.069315, 0.290789, -0.088479, -0.436879, -0.311172, -0.203679, 0.314714], "network.4.weight": [[0.295427, -0.054167, -0.328004, -0.11698, 0.276769, 0.099887, 0.115958, -0.595367], [0.003839, -0.328538, -0.191228, 0.325272, 0.025641, 0.030546, 0.444768, -0.111586], [-0.313359, -0.066281, 0.001899, -0.159055, -0.503336, 0.095394, -0.300487, -0.458217], [-0.311192, -0.005201, -0.250426, -0.316685, -0.254594, -0.226618, -0.086605, 0.377377], [0.03, -0.233689, -0.035945, -0.068473, 0.172733, 0.187907, -0.051416, -0.458149], [0.120244, -0.142026, -0.627402, 0.045928, 0.052523, 0.004229, 0.154109, 0.641735], [0.122047, -0.112789, -0.330832, -0.065192, -0.418607, -0.248505, 0.03852, 0.303855], [-0.312601, -0.22535, -0.183627, -0.156116, 0.091977, 0.30355, 0.393308, 0.316807]], "network.4.bias": [-0.004946, -0.32755, -0.099817, -0.189086, 0.005504, 0.32914, 0.180472, 0.086905], "network.6.weight": [[0.076569, -0.078866, -0.12844, 0.040921, 0.194625, 0.023545, -0.259456, 0.17027], [-0.190572, 0.183434, -0.148174, -0.348239, -0.025825, -0.269124, 0.35002, -0.232588], [0.068234, -0.134786, 0.236371, -0.226215, 0.058197, -0.423847, -0.28182, 0.186217], [-0.17836, -0.384735, 0.09902, -0.300986, -0.159943, -0.170417, 0.067577, -0.171898], [-0.415118, -0.002062, -0.003297, 0.027579, 0.000106, -0.143189, 0.127973, 0.195486], [-0.072186, 0.33261, 0.273674, 0.424292, 0.375623, 0.538236, 0.783366, 0.595425], [0.265121, 0.236854, -0.157773, 0.601415, 0.326626, 0.718216, 0.465692, 0.306894], [0.071614, 0.02538, 0.332832, -0.024431, -0.041643, 0.656054, 0.687665, 0.71577]], "network.6.bias": [-0.106077, -0.352086, -0.253916, 0.382315, -0.361606, -0.037506, -0.164956, -0.0635], "network.8.weight": [[0.244213, -0.321306, 0.066092, 0.435509, 0.041344, -0.285894, -0.46633, -0.467201]], "network.8.bias": [0.22635]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6891865730285645, "train_acc": 0.565, "val_loss": 0.7029432654380798, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6857728064060211, "train_acc": 0.565, "val_loss": 0.6637791395187378, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6399995684623718, "train_acc": 0.495, "val_loss": 0.5535602569580078, "val_acc": 0.52}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5573539137840271, "train_acc": 0.495, "val_loss": 0.48527801036834717, "val_acc": 0.52}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5217607021331787, "train_acc": 0.575, "val_loss": 0.4427126944065094, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.4638105779886246, "train_acc": 0.81, "val_loss": 0.4031279385089874, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.4344885051250458, "train_acc": 0.81, "val_loss": 0.37960582971572876, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.40330126881599426, "train_acc": 0.83, "val_loss": 0.3890036344528198, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.3874330371618271, "train_acc": 0.82, "val_loss": 0.3892010450363159, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.4005921930074692, "train_acc": 0.82, "val_loss": 0.39213913679122925, "val_acc": 0.82}], "summary": {"total_epochs": 10, "degraded_epochs": 2, "improved_epochs": 8, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7029432654380798, "final_val_loss": 0.6637791395187378, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.5535602569580078, "final_val_loss": 0.39213913679122925, "initial_val_acc": 0.52, "final_val_acc": 0.82, "best_val_acc": 0.84, "best_epoch": 5}, "improvement": 0.31999999999999995, "first_improvement_epoch": 1}}
|
9,490
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.54, "improved_accuracy": 0.96, "improvement": 0.41999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7046, "learning_rate": 0.06295514151636045, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_ascending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_ascending"], "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: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.43914,
0.56008,
0.456159,
-0.086537,
-0.285793
],
[
0.619984,
1.006986,
-0.052728,
0.340612,
-0.297298
],
[
-0.179228,
-0.114688,
-0.112655,
-0.255665,
-0.175223
],
[
0.324455,
0.883083,
0.22949,
-0.567088,
0.131666
],
[
0.501253,
0.705267,
0.148751,
0.00138,
-0.177637
]
],
"network.0.bias": [
-0.203661,
0.430258,
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0.236204,
0.383942
],
"network.2.weight": [
[
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0.013121,
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0.021381
],
[
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-0.012314,
0.555112,
0.22243
],
[
0.372835,
0.302345,
0.069453,
0.4661,
0.558397
],
[
0.730243,
0.81818,
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0.145549,
0.847558
],
[
0.384016,
0.150805,
-0.261125,
0.424704,
0.321979
]
],
"network.2.bias": [
-0.093978,
-0.311226,
-0.242307,
-0.307095,
0.219798
],
"network.4.weight": [
[
-0.237026,
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-0.052565,
-0.166019
],
[
0.104539,
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0.16288,
-0.420024,
0.250645
],
[
0.36819,
0.092441,
0.787076,
0.65721,
-0.51574
],
[
0.433263,
0.636087,
1.026524,
0.448865,
0.064882
],
[
0.112408,
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0.320278,
0.844468,
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]
],
"network.4.bias": [
-0.169834,
0.252525,
0.112542,
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-0.065429
],
"network.6.weight": [
[
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0.280047,
0.786494,
0.703384
],
[
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],
[
0.249501,
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0.589062,
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0.418787
],
[
0.178165,
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],
[
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],
"network.6.bias": [
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],
"network.8.weight": [
[
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[
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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.10.bias": [
0.527412
]
}
## Activation Signature
### 0
mean: [1.778229, 3.290359, -1.648735, 1.674822, 2.387473]
std: [2.005970, 2.773524, 0.959014, 2.187499, 1.998982]
pca: [[0.444286, 0.241227, -0.377272, 0.723035, -0.281613, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.608659, -0.614183, 0.351849, -0.117427, -0.338712, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.145412, 0.238040, 0.843121, 0.459104, 0.023719, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.440205, 0.712204, 0.150198, -0.496782, -0.172140, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.466067, -0.026279, 0.021332, 0.076564, 0.880780, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.799760, 34.387686, 35.390257, 35.591727, 160.040634], [45.940029, 51.631878, 51.791154, 57.242474, 296.132235], [15.720403, 15.997067, 17.210192, 19.664345, 148.386176], [31.582119, 32.447407, 33.398161, 42.010299, 150.733975], [32.688346, 33.270879, 34.484082, 37.465705, 214.872582]]
### 2
mean: [-1.739272, 4.132422, 3.671351, 6.065924, 3.010826]
std: [1.481208, 3.892847, 3.368886, 5.389350, 2.470312]
pca: [[-0.184914, 0.005837, 0.897866, 0.276112, -0.288742, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.487807, -0.403309, -0.140322, 0.760811, -0.029359, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.422292, -0.304237, 0.407322, -0.330919, 0.673566, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.674431, 0.708552, 0.090645, -0.047073, -0.180736, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.307675, -0.492648, 0.004340, -0.482913, -0.655294, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.094495, 25.948386, 26.256961, 26.534746, 156.534448], [64.026722, 65.583636, 68.511560, 69.185792, 371.917955], [55.205260, 56.089658, 59.609879, 59.747581, 330.421637], [89.636837, 91.356760, 97.496246, 101.641372, 545.933163], [39.740559, 41.436906, 42.002294, 43.020084, 270.974349]]
### 4
mean: [-2.251752, -3.328401, 5.822563, 9.117527, 8.250436]
std: [1.863059, 3.333693, 5.274086, 8.486403, 7.425849]
pca: [[-0.142849, -0.295431, 0.092920, -0.111642, 0.933390, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.255942, 0.305265, 0.716815, 0.569687, 0.054231, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.404808, -0.584388, 0.616704, -0.260445, -0.215560, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.651732, 0.642235, 0.155425, -0.271187, 0.255110, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.570495, -0.256044, -0.270300, 0.722232, 0.119563, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.655905, 31.318844, 32.913292, 33.140531, 202.657677], [56.030167, 56.237148, 60.358483, 61.669376, 299.556076], [87.886978, 88.761520, 95.393917, 98.016511, 524.030729], [140.766973, 142.406561, 151.955953, 152.427136, 820.577411], [124.501402, 124.502063, 133.749690, 136.174838, 742.539184]]
### 6
mean: [14.472123, -8.166410, 12.326330, -11.675798, -6.001669]
std: [13.369765, 7.149733, 11.110530, 10.673663, 5.462563]
pca: [[0.599672, -0.339702, 0.642883, -0.143672, 0.301756, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.320684, -0.314095, -0.135778, 0.423947, 0.774815, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.498335, 0.575886, -0.054621, 0.640873, 0.079475, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.478744, 0.040024, 0.703181, 0.432883, -0.295551, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.244993, 0.672830, 0.266118, -0.448912, 0.463614, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[223.067483, 224.303391, 240.382209, 242.993225, 1302.491145], [119.434931, 119.931900, 128.770076, 130.406691, 734.976956], [185.644945, 186.305699, 200.092081, 202.744168, 1109.369763], [178.242770, 178.798809, 191.773159, 194.253714, 1050.821905], [90.986272, 91.443953, 97.839100, 98.791763, 540.150218]]
### 8
mean: [15.969993, -8.248713, -10.785472, -3.427542, 9.934640]
std: [14.774049, 7.581538, 9.852930, 3.305738, 9.307570]
pca: [[0.681194, 0.139715, 0.452683, 0.004819, 0.558131, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.349565, 0.230081, -0.392005, -0.440461, 0.690792, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.454292, 0.665200, 0.583837, 0.053453, -0.086052, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.152419, 0.066137, -0.225236, 0.896126, 0.344414, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.429146, 0.693309, -0.499814, 0.008429, -0.292012, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[246.532243, 247.878176, 265.800359, 268.788754, 1437.299248], [126.563356, 127.180894, 136.442134, 138.059818, 742.384052], [164.529825, 165.262719, 177.359704, 179.542238, 970.692491], [55.178161, 55.456813, 59.486703, 60.181249, 308.478780], [155.216754, 156.201871, 167.372353, 169.097417, 894.117637]]
### 10
mean: [-9.963304]
std: [9.747717]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[162.557624, 163.603719, 175.360891, 177.247964, 896.697378]]
## 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_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.43914,
0.56008,
0.456159,
-0.086537,
-0.285793
],
[
0.619984,
1.006986,
-0.052728,
0.340612,
-0.297298
],
[
-0.179228,
-0.114688,
-0.112655,
-0.255665,
-0.175223
],
[
0.324455,
0.883083,
0.22949,
-0.567088,
0.131666
],
[
0.501253,
0.705267,
0.148751,
0.00138,
-0.177637
]
],
"network.0.bias": [
-0.203661,
0.430258,
-0.217017,
0.236204,
0.383942
],
"network.2.weight": [
[
-0.533555,
-0.19643,
0.013121,
-0.024668,
0.021381
],
[
0.725348,
0.455807,
-0.012314,
0.555112,
0.22243
],
[
0.372835,
0.302345,
0.069453,
0.4661,
0.558397
],
[
0.730243,
0.81818,
-0.092703,
0.145549,
0.847558
],
[
0.384016,
0.150805,
-0.261125,
0.424704,
0.321979
]
],
"network.2.bias": [
-0.093978,
-0.311226,
-0.242307,
-0.307095,
0.219798
],
"network.4.weight": [
[
-0.237026,
-0.168134,
-0.154507,
-0.052565,
-0.166019
],
[
0.104539,
-0.576609,
0.16288,
-0.420024,
0.250645
],
[
0.36819,
0.092441,
0.787076,
0.65721,
-0.51574
],
[
0.433263,
0.636087,
1.026524,
0.448865,
0.064882
],
[
0.112408,
0.345269,
0.320278,
0.844468,
0.194595
]
],
"network.4.bias": [
-0.169834,
0.252525,
0.112542,
-0.204315,
-0.065429
],
"network.6.weight": [
[
-0.128599,
-0.102393,
0.280047,
0.786494,
0.703384
],
[
-0.211578,
0.29858,
-0.357774,
-0.387278,
-0.265665
],
[
0.249501,
-0.342635,
0.589062,
0.576461,
0.418787
],
[
0.178165,
-0.530528,
-0.283933,
-0.521949,
-0.642078
],
[
0.334144,
-0.663777,
-0.024777,
-0.3714,
-0.296485
]
],
"network.6.bias": [
-0.132406,
-0.36711,
0.192622,
0.049919,
-0.005866
],
"network.8.weight": [
[
0.739522,
-0.187616,
0.440072,
0.102051,
0.050311
],
[
-0.263816,
0.307679,
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-0.120103,
-0.230344
],
[
-0.232629,
-0.444401,
-0.606956,
-0.323162,
-0.360329
],
[
-0.129881,
0.070386,
-0.141283,
0.13728,
-0.321978
],
[
0.68272,
-0.078536,
0.016388,
-0.453119,
-0.340732
]
],
"network.8.bias": [
-0.159241,
0.069197,
0.063425,
0.194017,
-0.149898
],
"network.10.weight": [
[
-0.435952,
-0.060103,
0.1169,
0.357361,
-0.355236
]
],
"network.10.bias": [
0.527412
]
}
## Activation Signature
### 0
mean: [1.778229, 3.290359, -1.648735, 1.674822, 2.387473]
std: [2.005970, 2.773524, 0.959014, 2.187499, 1.998982]
pca: [[0.444286, 0.241227, -0.377272, 0.723035, -0.281613, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.608659, -0.614183, 0.351849, -0.117427, -0.338712, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.145412, 0.238040, 0.843121, 0.459104, 0.023719, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.440205, 0.712204, 0.150198, -0.496782, -0.172140, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.466067, -0.026279, 0.021332, 0.076564, 0.880780, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.799760, 34.387686, 35.390257, 35.591727, 160.040634], [45.940029, 51.631878, 51.791154, 57.242474, 296.132235], [15.720403, 15.997067, 17.210192, 19.664345, 148.386176], [31.582119, 32.447407, 33.398161, 42.010299, 150.733975], [32.688346, 33.270879, 34.484082, 37.465705, 214.872582]]
### 2
mean: [-1.739272, 4.132422, 3.671351, 6.065924, 3.010826]
std: [1.481208, 3.892847, 3.368886, 5.389350, 2.470312]
pca: [[-0.184914, 0.005837, 0.897866, 0.276112, -0.288742, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.487807, -0.403309, -0.140322, 0.760811, -0.029359, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.422292, -0.304237, 0.407322, -0.330919, 0.673566, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.674431, 0.708552, 0.090645, -0.047073, -0.180736, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.307675, -0.492648, 0.004340, -0.482913, -0.655294, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.094495, 25.948386, 26.256961, 26.534746, 156.534448], [64.026722, 65.583636, 68.511560, 69.185792, 371.917955], [55.205260, 56.089658, 59.609879, 59.747581, 330.421637], [89.636837, 91.356760, 97.496246, 101.641372, 545.933163], [39.740559, 41.436906, 42.002294, 43.020084, 270.974349]]
### 4
mean: [-2.251752, -3.328401, 5.822563, 9.117527, 8.250436]
std: [1.863059, 3.333693, 5.274086, 8.486403, 7.425849]
pca: [[-0.142849, -0.295431, 0.092920, -0.111642, 0.933390, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.255942, 0.305265, 0.716815, 0.569687, 0.054231, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.404808, -0.584388, 0.616704, -0.260445, -0.215560, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.651732, 0.642235, 0.155425, -0.271187, 0.255110, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.570495, -0.256044, -0.270300, 0.722232, 0.119563, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.655905, 31.318844, 32.913292, 33.140531, 202.657677], [56.030167, 56.237148, 60.358483, 61.669376, 299.556076], [87.886978, 88.761520, 95.393917, 98.016511, 524.030729], [140.766973, 142.406561, 151.955953, 152.427136, 820.577411], [124.501402, 124.502063, 133.749690, 136.174838, 742.539184]]
### 6
mean: [14.472123, -8.166410, 12.326330, -11.675798, -6.001669]
std: [13.369765, 7.149733, 11.110530, 10.673663, 5.462563]
pca: [[0.599672, -0.339702, 0.642883, -0.143672, 0.301756, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.320684, -0.314095, -0.135778, 0.423947, 0.774815, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.498335, 0.575886, -0.054621, 0.640873, 0.079475, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.478744, 0.040024, 0.703181, 0.432883, -0.295551, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.244993, 0.672830, 0.266118, -0.448912, 0.463614, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[223.067483, 224.303391, 240.382209, 242.993225, 1302.491145], [119.434931, 119.931900, 128.770076, 130.406691, 734.976956], [185.644945, 186.305699, 200.092081, 202.744168, 1109.369763], [178.242770, 178.798809, 191.773159, 194.253714, 1050.821905], [90.986272, 91.443953, 97.839100, 98.791763, 540.150218]]
### 8
mean: [15.969993, -8.248713, -10.785472, -3.427542, 9.934640]
std: [14.774049, 7.581538, 9.852930, 3.305738, 9.307570]
pca: [[0.681194, 0.139715, 0.452683, 0.004819, 0.558131, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.349565, 0.230081, -0.392005, -0.440461, 0.690792, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.454292, 0.665200, 0.583837, 0.053453, -0.086052, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.152419, 0.066137, -0.225236, 0.896126, 0.344414, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.429146, 0.693309, -0.499814, 0.008429, -0.292012, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[246.532243, 247.878176, 265.800359, 268.788754, 1437.299248], [126.563356, 127.180894, 136.442134, 138.059818, 742.384052], [164.529825, 165.262719, 177.359704, 179.542238, 970.692491], [55.178161, 55.456813, 59.486703, 60.181249, 308.478780], [155.216754, 156.201871, 167.372353, 169.097417, 894.117637]]
### 10
mean: [-9.963304]
std: [9.747717]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[162.557624, 163.603719, 175.360891, 177.247964, 896.697378]]
## 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_ascending
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.7782292366027832, "std": 2.005969524383545, "pca": [0.44428595900535583, 0.24122686684131622, -0.3772718608379364, 0.7230350971221924, -0.2816127836704254, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [32.7997596588535, 34.38768612231506, 35.390256526837724, 35.59172749870926, 160.04063367843628]}, "1": {"mean": 3.290358543395996, "std": 2.7735238075256348, "pca": [0.6086592674255371, -0.6141829490661621, 0.35184937715530396, -0.11742746829986572, -0.33871230483055115, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [45.94002915857406, 51.63187810521255, 51.7911537098841, 57.24247426772109, 296.1322350203991]}, "2": {"mean": -1.6487350463867188, "std": 0.9590138792991638, "pca": [-0.14541183412075043, 0.23804017901420593, 0.8431212306022644, 0.4591037929058075, 0.023718668147921562, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [15.720402584452069, 15.997066612717814, 17.210191582896616, 19.664345088000903, 148.38617572188377]}, "3": {"mean": 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"dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.43914, 0.56008, 0.456159, -0.086537, -0.285793], [0.619984, 1.006986, -0.052728, 0.340612, -0.297298], [-0.179228, -0.114688, -0.112655, -0.255665, -0.175223], [0.324455, 0.883083, 0.22949, -0.567088, 0.131666], [0.501253, 0.705267, 0.148751, 0.00138, -0.177637]], "network.0.bias": [-0.203661, 0.430258, -0.217017, 0.236204, 0.383942], "network.2.weight": [[-0.533555, -0.19643, 0.013121, -0.024668, 0.021381], [0.725348, 0.455807, -0.012314, 0.555112, 0.22243], [0.372835, 0.302345, 0.069453, 0.4661, 0.558397], [0.730243, 0.81818, -0.092703, 0.145549, 0.847558], [0.384016, 0.150805, -0.261125, 0.424704, 0.321979]], "network.2.bias": [-0.093978, -0.311226, -0.242307, -0.307095, 0.219798], "network.4.weight": [[-0.237026, -0.168134, -0.154507, -0.052565, -0.166019], [0.104539, -0.576609, 0.16288, -0.420024, 0.250645], [0.36819, 0.092441, 0.787076, 0.65721, -0.51574], [0.433263, 0.636087, 1.026524, 0.448865, 0.064882], [0.112408, 0.345269, 0.320278, 0.844468, 0.194595]], "network.4.bias": [-0.169834, 0.252525, 0.112542, -0.204315, -0.065429], "network.6.weight": [[-0.128599, -0.102393, 0.280047, 0.786494, 0.703384], [-0.211578, 0.29858, -0.357774, -0.387278, -0.265665], [0.249501, -0.342635, 0.589062, 0.576461, 0.418787], [0.178165, -0.530528, -0.283933, -0.521949, -0.642078], [0.334144, -0.663777, -0.024777, -0.3714, -0.296485]], "network.6.bias": [-0.132406, -0.36711, 0.192622, 0.049919, -0.005866], "network.8.weight": [[0.739522, -0.187616, 0.440072, 0.102051, 0.050311], [-0.263816, 0.307679, -0.365, -0.120103, -0.230344], [-0.232629, -0.444401, -0.606956, -0.323162, -0.360329], [-0.129881, 0.070386, -0.141283, 0.13728, -0.321978], [0.68272, -0.078536, 0.016388, -0.453119, -0.340732]], "network.8.bias": [-0.159241, 0.069197, 0.063425, 0.194017, -0.149898], "network.10.weight": [[-0.435952, -0.060103, 0.1169, 0.357361, -0.355236]], "network.10.bias": [0.527412]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7213161289691925, "train_acc": 0.43, "val_loss": 0.6602030396461487, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6444629728794098, "train_acc": 0.57, "val_loss": 0.611045777797699, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5958787202835083, "train_acc": 0.515, "val_loss": 0.5518692135810852, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4658723473548889, "train_acc": 0.925, "val_loss": 0.3772738575935364, "val_acc": 0.94}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.335574671626091, "train_acc": 0.91, "val_loss": 0.28086283802986145, "val_acc": 0.96}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.2978002578020096, "train_acc": 0.925, "val_loss": 0.29116687178611755, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.28023067116737366, "train_acc": 0.93, "val_loss": 0.25478360056877136, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.21656084805727005, "train_acc": 0.945, "val_loss": 0.23177570104599, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.1988959237933159, "train_acc": 0.945, "val_loss": 0.20041194558143616, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.18065491318702698, "train_acc": 0.955, "val_loss": 0.2588469386100769, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.1460559442639351, "train_acc": 0.95, "val_loss": 0.2695029079914093, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.13700823485851288, "train_acc": 0.96, "val_loss": 0.11841270327568054, "val_acc": 0.96}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6602030396461487, "final_val_loss": 0.611045777797699, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.5518692135810852, "final_val_loss": 0.11841270327568054, "initial_val_acc": 0.86, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 4}, "improvement": 0.41999999999999993, "first_improvement_epoch": 1}}
|
9,491
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.44, "improved_accuracy": 0.94, "improvement": 0.49999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3625, "learning_rate": 0.07792427584959499, "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: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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2.11771,
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[
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[
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[
1.503606,
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[
-2.266302,
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0.3436
],
[
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]
],
"network.0.bias": [
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"network.2.weight": [
[
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],
[
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[
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[
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[
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[
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]
],
"network.2.bias": [
0.149266,
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"network.4.weight": [
[
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[
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[
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[
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[
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"network.6.weight": [
[
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[
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[
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[
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],
"network.6.bias": [
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"network.8.weight": [
[
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],
"network.8.bias": [
1.383694
]
}
## Activation Signature
### 0
mean: [3.084647, 6.149122, -3.373976, 2.740052, -0.807924, -1.472637]
std: [4.796754, 5.068290, 1.911506, 3.596016, 4.509050, 1.251100]
pca: [[0.537010, -0.084795, 0.683751, 0.243372, -0.202064, 0.369939, 0.000000, 0.000000, 0.000000, 0.000000], [0.551075, 0.484078, -0.510008, 0.032373, -0.447969, -0.012337, 0.000000, 0.000000, 0.000000, 0.000000], [-0.121869, -0.532590, -0.214548, -0.426600, -0.524280, 0.445655, 0.000000, 0.000000, 0.000000, 0.000000], [0.408004, 0.005678, -0.179666, -0.441361, 0.669759, 0.397296, 0.000000, 0.000000, 0.000000, 0.000000], [-0.466281, 0.659610, 0.167398, -0.108856, -0.074407, 0.549626, 0.000000, 0.000000, 0.000000, 0.000000], [-0.095915, -0.199270, -0.407484, 0.742352, 0.171788, 0.452163, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[77.602788, 78.534913, 84.290070, 87.949886, 277.618218], [75.713537, 85.407728, 90.202610, 97.928273, 553.421064], [31.139626, 31.570938, 36.387759, 37.915648, 303.657884], [61.676897, 65.743114, 65.787643, 65.954699, 246.604654], [74.641006, 76.816820, 82.293199, 85.086203, 91.490040], [18.455097, 23.358759, 24.859490, 25.157193, 132.537342]]
### 2
mean: [-2.281302, -5.307755, 6.238182, -5.865609, -6.193147, 5.456748]
std: [1.791758, 3.569644, 8.301390, 4.834549, 5.348334, 7.158879]
pca: [[-0.118329, 0.475566, 0.687282, -0.415764, 0.297933, 0.160799, 0.000000, 0.000000, 0.000000, 0.000000], [-0.257111, 0.430462, -0.551312, -0.024044, 0.602582, -0.284550, 0.000000, 0.000000, 0.000000, 0.000000], [0.607053, 0.492833, 0.013285, -0.028235, -0.331020, -0.527308, 0.000000, 0.000000, 0.000000, 0.000000], [-0.351634, 0.471621, 0.133049, 0.736676, -0.259077, 0.162519, 0.000000, 0.000000, 0.000000, 0.000000], [-0.391044, 0.247618, -0.342831, -0.531471, -0.595901, 0.175147, 0.000000, 0.000000, 0.000000, 0.000000], [0.524230, 0.248825, -0.297132, 0.024746, 0.127820, 0.747015, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.000174, 28.278721, 31.816276, 34.096343, 205.317201], [59.094628, 62.606841, 69.924435, 72.010303, 477.697921], [141.290245, 141.683195, 143.735243, 146.534101, 561.436345], [79.128538, 80.547792, 87.249612, 93.754342, 527.904808], [89.524466, 89.796345, 96.960589, 101.566203, 557.383283], [121.993726, 122.153727, 122.976937, 125.422996, 491.107290]]
### 4
mean: [6.736795, -3.421977, -4.978546, -2.218251, 5.784910, -3.243217]
std: [9.403374, 4.158278, 5.655458, 2.805401, 8.147485, 3.594384]
pca: [[0.627103, 0.140732, -0.464008, 0.582376, -0.044539, -0.174607, 0.000000, 0.000000, 0.000000, 0.000000], [-0.277267, 0.493795, 0.439490, 0.432725, -0.511936, -0.191855, 0.000000, 0.000000, 0.000000, 0.000000], [-0.377104, 0.637942, -0.341286, 0.094384, 0.512354, 0.250862, 0.000000, 0.000000, 0.000000, 0.000000], [-0.187037, -0.440411, 0.344128, 0.640831, 0.486594, 0.072063, 0.000000, 0.000000, 0.000000, 0.000000], [0.543343, 0.270766, 0.492208, -0.067067, 0.103579, 0.611530, 0.000000, 0.000000, 0.000000, 0.000000], [-0.239693, -0.249230, -0.338195, 0.222524, -0.475320, 0.700436, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[156.119172, 156.449833, 162.874687, 165.834906, 606.311574], [68.979357, 69.364146, 70.999999, 73.741022, 307.977967], [93.916686, 94.170436, 96.594899, 100.003427, 448.069099], [46.455340, 46.695198, 49.275736, 49.320883, 199.642599], [135.133500, 135.592336, 141.365880, 143.337717, 520.641894], [59.540377, 59.851532, 62.597153, 63.118615, 291.889558]]
### 6
mean: [-3.925895, -1.464723, -5.093627, -1.070069, 7.884433, -7.325902]
std: [4.933163, 1.632708, 6.295052, 1.415017, 11.301600, 9.807897]
pca: [[-0.288419, 0.536166, 0.054395, 0.069804, 0.672828, 0.410867, 0.000000, 0.000000, 0.000000, 0.000000], [-0.095455, 0.708563, -0.467491, -0.014632, -0.512039, -0.088774, 0.000000, 0.000000, 0.000000, 0.000000], [-0.368042, 0.141329, 0.758410, -0.028286, -0.466555, 0.225636, 0.000000, 0.000000, 0.000000, 0.000000], [-0.082729, -0.057638, -0.021311, 0.991659, -0.066289, -0.039962, 0.000000, 0.000000, 0.000000, 0.000000], [0.660751, 0.033588, -0.014680, 0.073100, -0.190460, 0.721419, 0.000000, 0.000000, 0.000000, 0.000000], [-0.573421, -0.431324, -0.450153, -0.073356, -0.163632, 0.500353, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[80.141577, 83.177099, 84.323310, 87.562148, 353.330545], [26.528998, 27.502305, 27.861222, 28.990918, 131.825107], [102.282554, 106.179335, 107.672951, 111.718536, 458.426405], [22.993635, 23.870334, 24.208493, 25.111043, 96.306239], [183.632547, 190.632997, 193.320519, 200.566667, 709.599004], [159.367154, 165.446087, 167.785097, 174.054661, 659.331208]]
### 8
mean: [-3.942155]
std: [7.430752]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[121.650613, 125.828293, 126.568711, 131.908860, 354.793937]]
## 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: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
2.11771,
0.555503,
-0.286564,
0.450801,
0.237179
],
[
1.510383,
1.041631,
0.776696,
0.501317,
0.012204
],
[
-0.007312,
-0.565215,
-0.216908,
-0.51041,
-0.189589
],
[
1.503606,
0.306809,
0.334501,
0.281418,
-0.031377
],
[
-2.266302,
-0.087423,
0.214479,
0.150993,
0.3436
],
[
-0.250555,
-0.03229,
-0.085191,
-0.282902,
-0.39694
]
],
"network.0.bias": [
-1.223614,
-0.341079,
-0.55346,
-0.953699,
0.976077,
0.172185
],
"network.2.weight": [
[
0.118818,
-0.539156,
0.030753,
0.150544,
0.057737,
-0.035046
],
[
-0.490099,
-0.310544,
0.336528,
-0.064467,
-0.685062,
0.032211
],
[
0.886874,
0.475216,
0.522034,
0.520757,
-0.42762,
-0.174108
],
[
-0.235061,
-0.539516,
-0.17744,
-0.397381,
-0.404848,
-0.321054
],
[
-0.693619,
-0.500256,
-0.202866,
-0.009679,
-0.340499,
-0.355936
],
[
0.627572,
0.567901,
0.082316,
0.399269,
-0.407376,
0.049649
]
],
"network.2.bias": [
0.149266,
-0.700271,
-0.687463,
-0.090711,
-0.288502,
-0.840806
],
"network.4.weight": [
[
0.637273,
0.089942,
0.701127,
-0.207366,
-0.245354,
0.527071
],
[
-0.574465,
-0.483953,
-0.056028,
-0.03403,
-0.110731,
-0.529616
],
[
-0.266547,
0.107296,
-0.095433,
0.398951,
0.406809,
-0.696619
],
[
-0.185752,
0.390592,
-0.390018,
0.10676,
-0.106653,
0.053537
],
[
0.028834,
-0.153336,
0.67985,
0.554133,
-0.39908,
0.371052
],
[
0.089928,
0.255919,
-0.359462,
-0.295155,
-0.37179,
-0.094062
]
],
"network.4.bias": [
-0.737212,
-0.067394,
-0.437905,
-0.017242,
-0.660441,
-0.41286
],
"network.6.weight": [
[
-0.515506,
-0.4699,
-0.341315,
0.29748,
-0.018362,
-0.028888
],
[
-0.35777,
-0.173341,
-0.318104,
-0.144113,
0.21028,
0.300906
],
[
-0.374371,
-0.076394,
-0.108057,
0.230213,
-0.351104,
0.263817
],
[
-0.061999,
-0.039222,
0.128481,
-0.028791,
-0.104532,
0.626861
],
[
0.617112,
-0.008696,
-0.054983,
0.056924,
0.693925,
0.074653
],
[
-0.474256,
-0.195191,
-0.454741,
-0.085609,
-0.673068,
0.160777
]
],
"network.6.bias": [
-0.263075,
-0.246998,
-0.427903,
-0.021945,
-0.490401,
-0.05974
],
"network.8.weight": [
[
-0.015154,
0.349664,
-0.015494,
-0.281313,
-0.663557,
-0.227465
]
],
"network.8.bias": [
1.383694
]
}
## Activation Signature
### 0
mean: [3.084647, 6.149122, -3.373976, 2.740052, -0.807924, -1.472637]
std: [4.796754, 5.068290, 1.911506, 3.596016, 4.509050, 1.251100]
pca: [[0.537010, -0.084795, 0.683751, 0.243372, -0.202064, 0.369939, 0.000000, 0.000000, 0.000000, 0.000000], [0.551075, 0.484078, -0.510008, 0.032373, -0.447969, -0.012337, 0.000000, 0.000000, 0.000000, 0.000000], [-0.121869, -0.532590, -0.214548, -0.426600, -0.524280, 0.445655, 0.000000, 0.000000, 0.000000, 0.000000], [0.408004, 0.005678, -0.179666, -0.441361, 0.669759, 0.397296, 0.000000, 0.000000, 0.000000, 0.000000], [-0.466281, 0.659610, 0.167398, -0.108856, -0.074407, 0.549626, 0.000000, 0.000000, 0.000000, 0.000000], [-0.095915, -0.199270, -0.407484, 0.742352, 0.171788, 0.452163, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[77.602788, 78.534913, 84.290070, 87.949886, 277.618218], [75.713537, 85.407728, 90.202610, 97.928273, 553.421064], [31.139626, 31.570938, 36.387759, 37.915648, 303.657884], [61.676897, 65.743114, 65.787643, 65.954699, 246.604654], [74.641006, 76.816820, 82.293199, 85.086203, 91.490040], [18.455097, 23.358759, 24.859490, 25.157193, 132.537342]]
### 2
mean: [-2.281302, -5.307755, 6.238182, -5.865609, -6.193147, 5.456748]
std: [1.791758, 3.569644, 8.301390, 4.834549, 5.348334, 7.158879]
pca: [[-0.118329, 0.475566, 0.687282, -0.415764, 0.297933, 0.160799, 0.000000, 0.000000, 0.000000, 0.000000], [-0.257111, 0.430462, -0.551312, -0.024044, 0.602582, -0.284550, 0.000000, 0.000000, 0.000000, 0.000000], [0.607053, 0.492833, 0.013285, -0.028235, -0.331020, -0.527308, 0.000000, 0.000000, 0.000000, 0.000000], [-0.351634, 0.471621, 0.133049, 0.736676, -0.259077, 0.162519, 0.000000, 0.000000, 0.000000, 0.000000], [-0.391044, 0.247618, -0.342831, -0.531471, -0.595901, 0.175147, 0.000000, 0.000000, 0.000000, 0.000000], [0.524230, 0.248825, -0.297132, 0.024746, 0.127820, 0.747015, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.000174, 28.278721, 31.816276, 34.096343, 205.317201], [59.094628, 62.606841, 69.924435, 72.010303, 477.697921], [141.290245, 141.683195, 143.735243, 146.534101, 561.436345], [79.128538, 80.547792, 87.249612, 93.754342, 527.904808], [89.524466, 89.796345, 96.960589, 101.566203, 557.383283], [121.993726, 122.153727, 122.976937, 125.422996, 491.107290]]
### 4
mean: [6.736795, -3.421977, -4.978546, -2.218251, 5.784910, -3.243217]
std: [9.403374, 4.158278, 5.655458, 2.805401, 8.147485, 3.594384]
pca: [[0.627103, 0.140732, -0.464008, 0.582376, -0.044539, -0.174607, 0.000000, 0.000000, 0.000000, 0.000000], [-0.277267, 0.493795, 0.439490, 0.432725, -0.511936, -0.191855, 0.000000, 0.000000, 0.000000, 0.000000], [-0.377104, 0.637942, -0.341286, 0.094384, 0.512354, 0.250862, 0.000000, 0.000000, 0.000000, 0.000000], [-0.187037, -0.440411, 0.344128, 0.640831, 0.486594, 0.072063, 0.000000, 0.000000, 0.000000, 0.000000], [0.543343, 0.270766, 0.492208, -0.067067, 0.103579, 0.611530, 0.000000, 0.000000, 0.000000, 0.000000], [-0.239693, -0.249230, -0.338195, 0.222524, -0.475320, 0.700436, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[156.119172, 156.449833, 162.874687, 165.834906, 606.311574], [68.979357, 69.364146, 70.999999, 73.741022, 307.977967], [93.916686, 94.170436, 96.594899, 100.003427, 448.069099], [46.455340, 46.695198, 49.275736, 49.320883, 199.642599], [135.133500, 135.592336, 141.365880, 143.337717, 520.641894], [59.540377, 59.851532, 62.597153, 63.118615, 291.889558]]
### 6
mean: [-3.925895, -1.464723, -5.093627, -1.070069, 7.884433, -7.325902]
std: [4.933163, 1.632708, 6.295052, 1.415017, 11.301600, 9.807897]
pca: [[-0.288419, 0.536166, 0.054395, 0.069804, 0.672828, 0.410867, 0.000000, 0.000000, 0.000000, 0.000000], [-0.095455, 0.708563, -0.467491, -0.014632, -0.512039, -0.088774, 0.000000, 0.000000, 0.000000, 0.000000], [-0.368042, 0.141329, 0.758410, -0.028286, -0.466555, 0.225636, 0.000000, 0.000000, 0.000000, 0.000000], [-0.082729, -0.057638, -0.021311, 0.991659, -0.066289, -0.039962, 0.000000, 0.000000, 0.000000, 0.000000], [0.660751, 0.033588, -0.014680, 0.073100, -0.190460, 0.721419, 0.000000, 0.000000, 0.000000, 0.000000], [-0.573421, -0.431324, -0.450153, -0.073356, -0.163632, 0.500353, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[80.141577, 83.177099, 84.323310, 87.562148, 353.330545], [26.528998, 27.502305, 27.861222, 28.990918, 131.825107], [102.282554, 106.179335, 107.672951, 111.718536, 458.426405], [22.993635, 23.870334, 24.208493, 25.111043, 96.306239], [183.632547, 190.632997, 193.320519, 200.566667, 709.599004], [159.367154, 165.446087, 167.785097, 174.054661, 659.331208]]
### 8
mean: [-3.942155]
std: [7.430752]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[121.650613, 125.828293, 126.568711, 131.908860, 354.793937]]
## 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
|
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"input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[2.11771, 0.555503, -0.286564, 0.450801, 0.237179], [1.510383, 1.041631, 0.776696, 0.501317, 0.012204], [-0.007312, -0.565215, -0.216908, -0.51041, -0.189589], [1.503606, 0.306809, 0.334501, 0.281418, -0.031377], [-2.266302, -0.087423, 0.214479, 0.150993, 0.3436], [-0.250555, -0.03229, -0.085191, -0.282902, -0.39694]], "network.0.bias": [-1.223614, -0.341079, -0.55346, -0.953699, 0.976077, 0.172185], "network.2.weight": [[0.118818, -0.539156, 0.030753, 0.150544, 0.057737, -0.035046], [-0.490099, -0.310544, 0.336528, -0.064467, -0.685062, 0.032211], [0.886874, 0.475216, 0.522034, 0.520757, -0.42762, -0.174108], [-0.235061, -0.539516, -0.17744, -0.397381, -0.404848, -0.321054], [-0.693619, -0.500256, -0.202866, -0.009679, -0.340499, -0.355936], [0.627572, 0.567901, 0.082316, 0.399269, -0.407376, 0.049649]], "network.2.bias": [0.149266, -0.700271, -0.687463, -0.090711, -0.288502, -0.840806], "network.4.weight": [[0.637273, 0.089942, 0.701127, -0.207366, -0.245354, 0.527071], [-0.574465, -0.483953, -0.056028, -0.03403, -0.110731, -0.529616], [-0.266547, 0.107296, -0.095433, 0.398951, 0.406809, -0.696619], [-0.185752, 0.390592, -0.390018, 0.10676, -0.106653, 0.053537], [0.028834, -0.153336, 0.67985, 0.554133, -0.39908, 0.371052], [0.089928, 0.255919, -0.359462, -0.295155, -0.37179, -0.094062]], "network.4.bias": [-0.737212, -0.067394, -0.437905, -0.017242, -0.660441, -0.41286], "network.6.weight": [[-0.515506, -0.4699, -0.341315, 0.29748, -0.018362, -0.028888], [-0.35777, -0.173341, -0.318104, -0.144113, 0.21028, 0.300906], [-0.374371, -0.076394, -0.108057, 0.230213, -0.351104, 0.263817], [-0.061999, -0.039222, 0.128481, -0.028791, -0.104532, 0.626861], [0.617112, -0.008696, -0.054983, 0.056924, 0.693925, 0.074653], [-0.474256, -0.195191, -0.454741, -0.085609, -0.673068, 0.160777]], "network.6.bias": [-0.263075, -0.246998, -0.427903, -0.021945, -0.490401, -0.05974], "network.8.weight": [[-0.015154, 0.349664, -0.015494, -0.281313, -0.663557, -0.227465]], "network.8.bias": [1.383694]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7227545976638794, "train_acc": 0.41, "val_loss": 0.6951342821121216, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6663271188735962, "train_acc": 0.59, "val_loss": 0.7728524804115295, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6415733695030212, "train_acc": 0.59, "val_loss": 0.6869398355484009, "val_acc": 0.44}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6089091897010803, "train_acc": 0.59, "val_loss": 0.6140362024307251, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5663444399833679, "train_acc": 0.61, "val_loss": 0.6489724516868591, "val_acc": 0.66}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5438353717327118, "train_acc": 0.695, "val_loss": 0.4964238703250885, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.49341028928756714, "train_acc": 0.77, "val_loss": 0.4696509838104248, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.459297239780426, "train_acc": 0.805, "val_loss": 0.4178942143917084, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.38997574150562286, "train_acc": 0.835, "val_loss": 0.442574143409729, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.38580814003944397, "train_acc": 0.825, "val_loss": 0.3559795320034027, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.3532824218273163, "train_acc": 0.89, "val_loss": 0.35553455352783203, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.3171747624874115, "train_acc": 0.895, "val_loss": 0.3107665181159973, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.3086884915828705, "train_acc": 0.875, "val_loss": 0.29973191022872925, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.28817620873451233, "train_acc": 0.865, "val_loss": 0.2845073938369751, "val_acc": 0.94}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6951342821121216, "final_val_loss": 0.6140362024307251, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.6489724516868591, "final_val_loss": 0.2845073938369751, "initial_val_acc": 0.66, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 13}, "improvement": 0.49999999999999994, "first_improvement_epoch": 3}}
|
9,492
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.6, "improved_accuracy": 0.84, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3702, "learning_rate": 0.0990349791556378, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "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: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.2.weight": [
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"network.2.bias": [
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## Activation Signature
### 0
mean: [-3.311417, 2.555246, 4.081285, -2.569624, 2.504659, 2.198797, -4.267749, -3.983454]
std: [1.829421, 2.731725, 2.793200, 1.743504, 1.804004, 2.771706, 2.112768, 2.513654]
pca: [[-0.319920, 0.126700, -0.091715, 0.671401, 0.193999, 0.556213, -0.267124, 0.063596, 0.000000, 0.000000], [0.373079, 0.518957, 0.151405, -0.272454, 0.422587, 0.064384, -0.405027, 0.384147, 0.000000, 0.000000], [0.446067, -0.406773, 0.271166, 0.067502, -0.321846, 0.438219, 0.144961, 0.490753, 0.000000, 0.000000], [-0.319056, -0.018577, -0.333434, 0.082115, 0.157878, -0.319583, 0.320030, 0.741929, 0.000000, 0.000000], [0.156280, -0.423120, 0.072705, -0.001932, 0.806574, 0.091762, 0.316519, -0.179137, 0.000000, 0.000000], [0.359425, 0.558974, -0.207590, 0.201406, -0.063490, 0.154209, 0.651851, -0.148263, 0.000000, 0.000000], [-0.384574, 0.051896, -0.205758, -0.650030, -0.011421, 0.598566, 0.161512, 0.005984, 0.000000, 0.000000], [-0.395200, 0.233765, 0.832610, 0.024147, 0.023485, -0.042786, 0.299974, 0.054596, 0.000000, 0.000000]]
fourier: [[28.734180, 29.577245, 29.617806, 31.074749, 298.027566], [43.359598, 45.277528, 53.351768, 62.711187, 229.972166], [42.146458, 44.610492, 46.761138, 50.484138, 367.315598], [24.983497, 26.717796, 30.727448, 35.685115, 231.266215], [25.712312, 28.793580, 30.057986, 32.013178, 225.419313], [44.915477, 46.307048, 54.391269, 62.066866, 197.891777], [32.283213, 37.223745, 37.301865, 40.877621, 384.097423], [40.301705, 40.859815, 43.775356, 49.052101, 358.510916]]
### 2
mean: [-1.908628, 2.878621, -6.211321, 8.707927, -1.853642, 1.381627, -6.796229, -1.531038]
std: [4.753892, 4.722339, 3.547674, 6.252179, 1.127392, 4.364167, 4.014641, 0.811808]
pca: [[0.419426, -0.396286, -0.084712, 0.116062, -0.027351, -0.046873, 0.767386, -0.233594, 0.000000, 0.000000], [-0.376840, 0.461873, 0.386807, 0.228018, 0.374493, 0.089659, 0.343546, -0.420411, 0.000000, 0.000000], [-0.244792, -0.396708, 0.516805, -0.334016, 0.237992, -0.525995, 0.089130, 0.250582, 0.000000, 0.000000], [0.607454, 0.387028, 0.556372, -0.188077, -0.095971, 0.196612, 0.055244, 0.292177, 0.000000, 0.000000], [-0.087047, -0.114033, -0.204254, 0.002633, 0.596973, 0.489701, 0.185610, 0.554128, 0.000000, 0.000000], [-0.404904, 0.320909, -0.162983, -0.171090, -0.520404, -0.067318, 0.493413, 0.398028, 0.000000, 0.000000], [-0.284767, -0.440754, 0.381492, -0.072753, -0.374744, 0.641104, -0.037146, -0.144873, 0.000000, 0.000000], [-0.023085, -0.110512, 0.229672, 0.867770, -0.159771, -0.138148, -0.053022, 0.366137, 0.000000, 0.000000]]
fourier: [[68.048159, 78.111526, 93.596122, 95.618846, 171.776574], [67.256247, 72.787521, 84.902264, 96.557472, 259.075909], [54.337921, 56.332056, 61.148371, 69.186551, 559.018799], [102.159724, 114.857078, 120.043142, 130.657761, 783.713451], [18.352979, 19.380068, 20.035035, 22.082277, 166.827757], [64.957030, 74.541668, 86.183275, 89.948356, 124.346439], [61.502286, 62.591551, 69.083079, 78.690992, 611.660588], [12.645263, 13.543627, 14.540416, 15.210906, 137.793431]]
### 4
mean: [-6.789175, 2.678313, -2.982553, -7.116135, -1.304205, 7.831596, -8.030819, 6.676479]
std: [3.410337, 6.556753, 2.289868, 3.276002, 5.395932, 4.932430, 4.121673, 6.032336]
pca: [[0.181492, 0.360649, 0.584428, 0.570908, 0.025771, -0.090416, -0.233136, 0.326052, 0.000000, 0.000000], [0.558320, -0.320052, 0.105602, 0.044830, 0.396456, 0.624686, 0.156295, 0.029099, 0.000000, 0.000000], [-0.139224, 0.223877, 0.208439, -0.479886, 0.557902, 0.033297, -0.568668, -0.144956, 0.000000, 0.000000], [0.029476, 0.425816, -0.418368, -0.208555, 0.122516, 0.134672, 0.121888, 0.742483, 0.000000, 0.000000], [-0.473414, 0.206937, -0.088463, 0.239298, -0.246372, 0.739710, -0.198836, -0.143390, 0.000000, 0.000000], [-0.361120, -0.388519, -0.336497, 0.506145, 0.526682, -0.160369, -0.147479, 0.156109, 0.000000, 0.000000], [-0.081523, 0.527427, -0.033585, 0.176712, 0.412906, -0.050397, 0.575891, -0.422064, 0.000000, 0.000000], [-0.523368, -0.253199, 0.553742, -0.231506, 0.085492, 0.083174, 0.435939, 0.312220, 0.000000, 0.000000]]
fourier: [[54.648281, 55.079688, 57.138042, 69.927753, 611.025704], [99.954488, 124.040291, 127.192461, 132.066932, 241.048222], [30.830079, 37.167378, 37.271799, 44.143171, 268.429718], [49.094921, 51.427971, 55.644759, 56.387917, 640.452216], [85.249519, 102.119202, 104.024792, 113.195061, 117.378446], [80.395198, 84.507826, 100.560057, 100.862932, 704.843657], [56.927196, 61.423138, 65.934388, 68.574973, 722.773695], [97.846720, 107.251484, 116.857898, 135.416242, 600.883112]]
### 6
mean: [-6.295178, -5.146629, 3.111006, 2.160293, -7.513378, -0.396385, 8.596774, 7.491360]
std: [5.266617, 3.387048, 2.947933, 4.829228, 6.817438, 6.667344, 9.962517, 10.213731]
pca: [[-0.275185, -0.286310, -0.083668, 0.561360, 0.540141, -0.093499, 0.441107, 0.158445, 0.000000, 0.000000], [-0.165592, -0.403774, -0.254556, 0.371241, -0.235690, 0.542654, -0.503477, 0.058440, 0.000000, 0.000000], [0.151736, 0.217047, 0.251130, 0.096119, -0.156510, 0.716531, 0.550561, -0.128573, 0.000000, 0.000000], [0.250326, -0.317748, 0.242316, -0.433921, 0.393369, 0.276137, -0.087762, 0.592178, 0.000000, 0.000000], [-0.355887, -0.364738, 0.582971, -0.178372, 0.175136, 0.037415, -0.124151, -0.566704, 0.000000, 0.000000], [-0.333629, 0.686165, 0.208982, 0.156398, 0.373819, 0.180013, -0.394744, 0.147537, 0.000000, 0.000000], [0.528750, 0.039687, -0.348479, 0.010024, 0.538221, 0.152783, -0.168165, -0.505971, 0.000000, 0.000000], [0.541872, -0.038584, 0.549045, 0.541434, -0.115620, -0.223537, -0.203962, 0.073121, 0.000000, 0.000000]]
fourier: [[84.692727, 96.184421, 99.908532, 118.570813, 566.566001], [52.433524, 56.230239, 65.827729, 73.304669, 463.196676], [46.194354, 53.231691, 54.300763, 66.270608, 279.990537], [76.548127, 81.717631, 100.113932, 107.303241, 194.426395], [109.513099, 126.619105, 134.013535, 150.246568, 676.203938], [106.293932, 108.097161, 111.089199, 141.153613, 142.047499], [166.787723, 167.160333, 203.224226, 223.942307, 773.709687], [164.476855, 171.488232, 204.662955, 232.454366, 674.222463]]
### 8
mean: [-6.841302, -9.440278, -5.128591, -7.416772, -3.404826, 5.212931, -5.261467, -5.005815]
std: [5.209385, 8.365318, 3.200655, 5.117382, 3.522743, 10.024759, 3.246824, 2.593057]
pca: [[-0.326831, 0.155640, -0.397566, 0.074413, -0.364301, 0.671008, -0.233812, 0.260243, 0.000000, 0.000000], [-0.527043, 0.141430, -0.165131, -0.206719, -0.526586, -0.448148, 0.304590, -0.247623, 0.000000, 0.000000], [-0.189018, 0.312733, 0.592854, 0.271999, -0.015929, 0.409152, 0.224209, -0.472316, 0.000000, 0.000000], [-0.316511, 0.285916, -0.091550, -0.596107, 0.533098, 0.067778, -0.318808, -0.252828, 0.000000, 0.000000], [-0.222250, -0.002369, -0.254236, 0.065584, 0.462847, 0.143170, 0.756396, 0.273500, 0.000000, 0.000000], [0.615273, 0.660350, -0.265138, -0.177488, -0.148166, 0.043734, 0.225526, -0.094070, 0.000000, 0.000000], [-0.180860, 0.428823, -0.238449, 0.675259, 0.254671, -0.359636, -0.276303, -0.005409, 0.000000, 0.000000], [-0.137235, 0.395307, 0.512858, -0.175001, -0.067127, -0.158632, -0.036178, 0.707298, 0.000000, 0.000000]]
fourier: [[85.305116, 92.473814, 94.791689, 119.779908, 615.717197], [139.737651, 150.407761, 154.103089, 192.077288, 849.624955], [47.638791, 50.708321, 63.628904, 69.365672, 461.573154], [82.633406, 87.333851, 98.400872, 115.211978, 667.509554], [58.685754, 60.674727, 66.906050, 80.922592, 306.434358], [154.276967, 169.419369, 208.873311, 222.863842, 469.163789], [45.403937, 49.015688, 63.380956, 68.044645, 473.532044], [39.940382, 40.849464, 50.578785, 53.037123, 450.523325]]
### 10
mean: [-0.503659]
std: [1.833902]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.145039, 31.608788, 35.045341, 42.829641, 45.329296]]
## 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.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
mean: [-3.311417, 2.555246, 4.081285, -2.569624, 2.504659, 2.198797, -4.267749, -3.983454]
std: [1.829421, 2.731725, 2.793200, 1.743504, 1.804004, 2.771706, 2.112768, 2.513654]
pca: [[-0.319920, 0.126700, -0.091715, 0.671401, 0.193999, 0.556213, -0.267124, 0.063596, 0.000000, 0.000000], [0.373079, 0.518957, 0.151405, -0.272454, 0.422587, 0.064384, -0.405027, 0.384147, 0.000000, 0.000000], [0.446067, -0.406773, 0.271166, 0.067502, -0.321846, 0.438219, 0.144961, 0.490753, 0.000000, 0.000000], [-0.319056, -0.018577, -0.333434, 0.082115, 0.157878, -0.319583, 0.320030, 0.741929, 0.000000, 0.000000], [0.156280, -0.423120, 0.072705, -0.001932, 0.806574, 0.091762, 0.316519, -0.179137, 0.000000, 0.000000], [0.359425, 0.558974, -0.207590, 0.201406, -0.063490, 0.154209, 0.651851, -0.148263, 0.000000, 0.000000], [-0.384574, 0.051896, -0.205758, -0.650030, -0.011421, 0.598566, 0.161512, 0.005984, 0.000000, 0.000000], [-0.395200, 0.233765, 0.832610, 0.024147, 0.023485, -0.042786, 0.299974, 0.054596, 0.000000, 0.000000]]
fourier: [[28.734180, 29.577245, 29.617806, 31.074749, 298.027566], [43.359598, 45.277528, 53.351768, 62.711187, 229.972166], [42.146458, 44.610492, 46.761138, 50.484138, 367.315598], [24.983497, 26.717796, 30.727448, 35.685115, 231.266215], [25.712312, 28.793580, 30.057986, 32.013178, 225.419313], [44.915477, 46.307048, 54.391269, 62.066866, 197.891777], [32.283213, 37.223745, 37.301865, 40.877621, 384.097423], [40.301705, 40.859815, 43.775356, 49.052101, 358.510916]]
### 2
mean: [-1.908628, 2.878621, -6.211321, 8.707927, -1.853642, 1.381627, -6.796229, -1.531038]
std: [4.753892, 4.722339, 3.547674, 6.252179, 1.127392, 4.364167, 4.014641, 0.811808]
pca: [[0.419426, -0.396286, -0.084712, 0.116062, -0.027351, -0.046873, 0.767386, -0.233594, 0.000000, 0.000000], [-0.376840, 0.461873, 0.386807, 0.228018, 0.374493, 0.089659, 0.343546, -0.420411, 0.000000, 0.000000], [-0.244792, -0.396708, 0.516805, -0.334016, 0.237992, -0.525995, 0.089130, 0.250582, 0.000000, 0.000000], [0.607454, 0.387028, 0.556372, -0.188077, -0.095971, 0.196612, 0.055244, 0.292177, 0.000000, 0.000000], [-0.087047, -0.114033, -0.204254, 0.002633, 0.596973, 0.489701, 0.185610, 0.554128, 0.000000, 0.000000], [-0.404904, 0.320909, -0.162983, -0.171090, -0.520404, -0.067318, 0.493413, 0.398028, 0.000000, 0.000000], [-0.284767, -0.440754, 0.381492, -0.072753, -0.374744, 0.641104, -0.037146, -0.144873, 0.000000, 0.000000], [-0.023085, -0.110512, 0.229672, 0.867770, -0.159771, -0.138148, -0.053022, 0.366137, 0.000000, 0.000000]]
fourier: [[68.048159, 78.111526, 93.596122, 95.618846, 171.776574], [67.256247, 72.787521, 84.902264, 96.557472, 259.075909], [54.337921, 56.332056, 61.148371, 69.186551, 559.018799], [102.159724, 114.857078, 120.043142, 130.657761, 783.713451], [18.352979, 19.380068, 20.035035, 22.082277, 166.827757], [64.957030, 74.541668, 86.183275, 89.948356, 124.346439], [61.502286, 62.591551, 69.083079, 78.690992, 611.660588], [12.645263, 13.543627, 14.540416, 15.210906, 137.793431]]
### 4
mean: [-6.789175, 2.678313, -2.982553, -7.116135, -1.304205, 7.831596, -8.030819, 6.676479]
std: [3.410337, 6.556753, 2.289868, 3.276002, 5.395932, 4.932430, 4.121673, 6.032336]
pca: [[0.181492, 0.360649, 0.584428, 0.570908, 0.025771, -0.090416, -0.233136, 0.326052, 0.000000, 0.000000], [0.558320, -0.320052, 0.105602, 0.044830, 0.396456, 0.624686, 0.156295, 0.029099, 0.000000, 0.000000], [-0.139224, 0.223877, 0.208439, -0.479886, 0.557902, 0.033297, -0.568668, -0.144956, 0.000000, 0.000000], [0.029476, 0.425816, -0.418368, -0.208555, 0.122516, 0.134672, 0.121888, 0.742483, 0.000000, 0.000000], [-0.473414, 0.206937, -0.088463, 0.239298, -0.246372, 0.739710, -0.198836, -0.143390, 0.000000, 0.000000], [-0.361120, -0.388519, -0.336497, 0.506145, 0.526682, -0.160369, -0.147479, 0.156109, 0.000000, 0.000000], [-0.081523, 0.527427, -0.033585, 0.176712, 0.412906, -0.050397, 0.575891, -0.422064, 0.000000, 0.000000], [-0.523368, -0.253199, 0.553742, -0.231506, 0.085492, 0.083174, 0.435939, 0.312220, 0.000000, 0.000000]]
fourier: [[54.648281, 55.079688, 57.138042, 69.927753, 611.025704], [99.954488, 124.040291, 127.192461, 132.066932, 241.048222], [30.830079, 37.167378, 37.271799, 44.143171, 268.429718], [49.094921, 51.427971, 55.644759, 56.387917, 640.452216], [85.249519, 102.119202, 104.024792, 113.195061, 117.378446], [80.395198, 84.507826, 100.560057, 100.862932, 704.843657], [56.927196, 61.423138, 65.934388, 68.574973, 722.773695], [97.846720, 107.251484, 116.857898, 135.416242, 600.883112]]
### 6
mean: [-6.295178, -5.146629, 3.111006, 2.160293, -7.513378, -0.396385, 8.596774, 7.491360]
std: [5.266617, 3.387048, 2.947933, 4.829228, 6.817438, 6.667344, 9.962517, 10.213731]
pca: [[-0.275185, -0.286310, -0.083668, 0.561360, 0.540141, -0.093499, 0.441107, 0.158445, 0.000000, 0.000000], [-0.165592, -0.403774, -0.254556, 0.371241, -0.235690, 0.542654, -0.503477, 0.058440, 0.000000, 0.000000], [0.151736, 0.217047, 0.251130, 0.096119, -0.156510, 0.716531, 0.550561, -0.128573, 0.000000, 0.000000], [0.250326, -0.317748, 0.242316, -0.433921, 0.393369, 0.276137, -0.087762, 0.592178, 0.000000, 0.000000], [-0.355887, -0.364738, 0.582971, -0.178372, 0.175136, 0.037415, -0.124151, -0.566704, 0.000000, 0.000000], [-0.333629, 0.686165, 0.208982, 0.156398, 0.373819, 0.180013, -0.394744, 0.147537, 0.000000, 0.000000], [0.528750, 0.039687, -0.348479, 0.010024, 0.538221, 0.152783, -0.168165, -0.505971, 0.000000, 0.000000], [0.541872, -0.038584, 0.549045, 0.541434, -0.115620, -0.223537, -0.203962, 0.073121, 0.000000, 0.000000]]
fourier: [[84.692727, 96.184421, 99.908532, 118.570813, 566.566001], [52.433524, 56.230239, 65.827729, 73.304669, 463.196676], [46.194354, 53.231691, 54.300763, 66.270608, 279.990537], [76.548127, 81.717631, 100.113932, 107.303241, 194.426395], [109.513099, 126.619105, 134.013535, 150.246568, 676.203938], [106.293932, 108.097161, 111.089199, 141.153613, 142.047499], [166.787723, 167.160333, 203.224226, 223.942307, 773.709687], [164.476855, 171.488232, 204.662955, 232.454366, 674.222463]]
### 8
mean: [-6.841302, -9.440278, -5.128591, -7.416772, -3.404826, 5.212931, -5.261467, -5.005815]
std: [5.209385, 8.365318, 3.200655, 5.117382, 3.522743, 10.024759, 3.246824, 2.593057]
pca: [[-0.326831, 0.155640, -0.397566, 0.074413, -0.364301, 0.671008, -0.233812, 0.260243, 0.000000, 0.000000], [-0.527043, 0.141430, -0.165131, -0.206719, -0.526586, -0.448148, 0.304590, -0.247623, 0.000000, 0.000000], [-0.189018, 0.312733, 0.592854, 0.271999, -0.015929, 0.409152, 0.224209, -0.472316, 0.000000, 0.000000], [-0.316511, 0.285916, -0.091550, -0.596107, 0.533098, 0.067778, -0.318808, -0.252828, 0.000000, 0.000000], [-0.222250, -0.002369, -0.254236, 0.065584, 0.462847, 0.143170, 0.756396, 0.273500, 0.000000, 0.000000], [0.615273, 0.660350, -0.265138, -0.177488, -0.148166, 0.043734, 0.225526, -0.094070, 0.000000, 0.000000], [-0.180860, 0.428823, -0.238449, 0.675259, 0.254671, -0.359636, -0.276303, -0.005409, 0.000000, 0.000000], [-0.137235, 0.395307, 0.512858, -0.175001, -0.067127, -0.158632, -0.036178, 0.707298, 0.000000, 0.000000]]
fourier: [[85.305116, 92.473814, 94.791689, 119.779908, 615.717197], [139.737651, 150.407761, 154.103089, 192.077288, 849.624955], [47.638791, 50.708321, 63.628904, 69.365672, 461.573154], [82.633406, 87.333851, 98.400872, 115.211978, 667.509554], [58.685754, 60.674727, 66.906050, 80.922592, 306.434358], [154.276967, 169.419369, 208.873311, 222.863842, 469.163789], [45.403937, 49.015688, 63.380956, 68.044645, 473.532044], [39.940382, 40.849464, 50.578785, 53.037123, 450.523325]]
### 10
mean: [-0.503659]
std: [1.833902]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.145039, 31.608788, 35.045341, 42.829641, 45.329296]]
## 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.
palindrome
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.397587, -0.570856, -0.47252, -0.281959, -0.327968], [0.260375, 0.44587, 0.099133, -0.15101, 1.292098], [-0.391365, 0.873386, 0.879903, 0.49243, -0.14553], [0.131474, -0.624241, -0.435386, -0.034145, -0.406772], [-0.234222, -0.007397, 0.743083, 0.522845, -0.490517], [0.488854, 0.508945, -0.226266, -0.051313, 1.235752], [-0.130106, -0.64956, -0.522344, -0.236709, -0.195579], [0.009363, -0.410816, -0.258784, -0.96924, -0.105597]], "network.0.bias": [-0.769784, -0.058083, 0.262294, -0.11135, 0.741153, -0.278378, -1.082253, -0.497221], "network.2.weight": [[-0.085391, 0.766023, -0.714724, -0.249423, -0.771397, 0.623853, -0.181883, -0.116569], [0.074621, -0.463807, 0.803003, 0.265995, 0.846792, -0.771127, 0.498471, 0.718694], [-0.082161, -0.192113, -0.804818, 0.134016, -0.165427, -0.63195, -0.568709, -0.037884], [0.634495, 1.259578, 0.417088, 0.23092, 0.468329, 0.958899, -0.032481, 0.978903], [-0.327005, -0.244236, -0.136757, -0.008263, -0.178301, -0.08985, 0.241529, -0.068908], [0.106012, -0.871315, 0.629729, 0.201562, 0.599848, -0.495026, 0.120253, 0.78293], [-0.081299, -0.264788, -0.806558, -0.065975, -0.317045, -0.736385, -0.237758, -0.393858], [-0.093782, 0.294507, -0.112807, -0.358707, -0.287954, -0.43727, 0.171336, 0.14072]], "network.2.bias": [-0.4792, 0.46023, -0.523998, 0.309275, 0.00015, 0.70434, -0.285553, -0.07924], "network.4.weight": [[-0.505109, -0.027853, -0.648598, -0.457716, 0.041144, -0.59443, -0.391699, 0.154163], [-0.090611, 0.913718, 0.481607, -0.368157, 0.175466, 0.739035, 0.377997, 0.152287], [-0.201644, -0.525853, -0.58401, 0.012868, 0.209305, -0.192385, -0.386392, -0.018452], [-0.224923, -0.774537, -0.403091, -0.376488, 0.032237, -0.012273, -0.800197, 0.128619], [0.149713, -0.589162, 0.028542, 0.351915, -0.251587, -0.69961, -0.507164, 0.229111], [0.640731, 0.365883, 0.175982, 0.656683, -0.264192, -0.145543, 0.427675, 0.203489], [-0.328583, -0.764924, 0.164668, -0.319878, 0.234242, -0.539714, -0.384181, -0.069485], [0.28139, 0.053927, 0.268204, 0.814476, -0.014133, -0.486088, 0.084043, -0.423469]], "network.4.bias": [-0.607367, 0.758132, -0.459349, -0.734197, -0.591859, 0.437774, -0.704145, 0.322782], "network.6.weight": [[0.721726, 0.156756, -0.445949, 0.047578, -0.152554, -0.539942, -0.133904, -0.324744], [-0.126837, -0.125826, -0.184782, -0.209157, -0.30142, -0.245037, -0.181403, -0.281611], [-0.132359, 0.047136, 0.057207, 0.60112, 0.19564, 0.078108, -0.269282, 0.36443], [-0.073036, -0.540494, -0.463259, -0.138789, 0.009614, 0.311303, -0.027156, 0.275691], [0.881516, 0.269763, -0.126405, 0.049401, 0.275052, -0.840869, 0.12299, -0.475924], [0.525125, 0.99835, -0.125315, -0.16885, 0.428685, -0.570115, 0.271571, -0.291816], [-0.505525, -0.695423, -0.120902, 0.850917, -0.279292, 0.970632, -0.215816, 0.706644], [-0.459873, -0.513854, -0.210398, 0.726125, 0.171434, 0.32963, 0.098154, 1.129084]], "network.6.bias": [-0.312009, -0.308882, -0.46076, 0.168473, 0.641608, 1.048621, -0.294197, -0.724891], "network.8.weight": [[-0.292883, 0.119901, 0.078093, 0.224005, -0.623431, -0.333561, -0.254877, -0.471024], [-0.221761, -0.560938, 0.275661, 0.012322, -0.044195, -0.433411, -0.579522, -0.471851], [0.288676, 0.279606, 0.161689, -0.583777, -0.486438, -0.53084, -0.336728, 0.095927], [-0.096053, 0.272883, -0.201986, -0.27756, -0.529834, -0.477102, -0.474676, 0.022043], [-0.338674, -0.162415, -0.351564, -0.05119, -0.290061, 0.001697, -0.07541, -0.16537], [0.170878, 0.344586, 0.157972, 0.450151, -0.50253, -0.716088, 0.375244, 0.258812], [0.2037, -0.039237, -0.264071, -0.037597, -0.462642, -0.570114, 0.006796, -0.334382], [-0.034105, 0.07214, 0.258413, -0.487807, -0.26045, -0.654279, -0.42455, 0.175918]], "network.8.bias": [-0.761566, -0.151994, -0.161673, -0.581615, -0.121634, -0.241453, -0.118647, -0.186509], "network.10.weight": [[0.39045, -0.112376, -0.114135, 0.075124, 0.281588, -0.21892, -0.023322, 0.126536]], "network.10.bias": [1.018802]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6868713796138763, "train_acc": 0.545, "val_loss": 0.6322721838951111, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6328310668468475, "train_acc": 0.545, "val_loss": 0.4572228491306305, "val_acc": 0.6}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6600897312164307, "train_acc": 0.475, "val_loss": 0.7000999450683594, "val_acc": 0.4}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6935034394264221, "train_acc": 0.53, "val_loss": 0.6989520788192749, "val_acc": 0.46}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.6675403714179993, "train_acc": 0.635, "val_loss": 0.5564960837364197, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.5508183836936951, "train_acc": 0.77, "val_loss": 0.45775535702705383, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.4901559352874756, "train_acc": 0.825, "val_loss": 0.40379515290260315, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.47101646661758423, "train_acc": 0.82, "val_loss": 0.4167468547821045, "val_acc": 0.78}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.44137321412563324, "train_acc": 0.825, "val_loss": 0.395752489566803, "val_acc": 0.8}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.38424448668956757, "train_acc": 0.845, "val_loss": 0.3795093595981598, "val_acc": 0.82}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.367678165435791, "train_acc": 0.86, "val_loss": 0.3638060688972473, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.3317190259695053, "train_acc": 0.875, "val_loss": 0.3619130253791809, "val_acc": 0.82}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6322721838951111, "final_val_loss": 0.4572228491306305, "initial_val_acc": 0.6, "final_val_acc": 0.6, "best_val_acc": 0.6}, "improved_stage": {"initial_val_loss": 0.7000999450683594, "final_val_loss": 0.3619130253791809, "initial_val_acc": 0.4, "final_val_acc": 0.82, "best_val_acc": 0.84, "best_epoch": 10}, "improvement": 0.24, "first_improvement_epoch": 1}}
|
9,493
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.54, "improved_accuracy": 0.96, "improvement": 0.41999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2336, "learning_rate": 0.0715780888695166, "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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.853739,
-0.123251,
0.262897,
0.284327,
0.161464
],
[
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0.111573,
-0.239106,
-0.202102
],
[
-0.477234,
-0.04518,
0.190988,
0.055277,
0.049926
],
[
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0.515345,
-0.707024,
0.087343,
0.109594
],
[
-0.871405,
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-0.237926,
-0.073079,
0.363203
]
],
"network.0.bias": [
-0.516771,
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0.72729
],
"network.2.weight": [
[
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0.261667,
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],
[
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-0.272363,
-0.397869,
0.473908
],
[
-0.4249,
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0.150069,
-0.523134,
0.474096
],
[
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0.248359
],
[
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]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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],
[
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],
[
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0.1248,
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],
[
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0.585359,
0.684604,
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],
[
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0.112257
]
],
"network.4.bias": [
0.00908,
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0.403154
],
"network.6.weight": [
[
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],
[
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0.042244,
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],
[
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0.055092
],
[
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1.006086
],
[
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1.059339
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],
"network.6.bias": [
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],
"network.8.weight": [
[
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[
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],
[
0.328963,
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1.042372
],
[
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],
[
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],
"network.8.bias": [
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],
"network.10.weight": [
[
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],
[
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],
[
0.211943,
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],
[
0.340848,
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],
[
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]
],
"network.10.bias": [
0.051536,
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],
"network.12.weight": [
[
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]
],
"network.12.bias": [
-0.184071
]
}
## Activation Signature
### 0
mean: [1.679093, -0.381054, 0.489545, -0.713197, -0.630453]
std: [2.031140, 0.838921, 0.952897, 1.846577, 1.954199]
pca: [[0.614815, 0.171111, -0.554288, 0.453903, 0.281888, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.009167, 0.121528, 0.704855, 0.498174, 0.490050, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.222210, -0.375362, -0.056418, 0.712839, -0.546263, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.470033, 0.835414, -0.178659, 0.182203, -0.126635, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.592968, -0.342256, -0.401051, 0.066769, 0.604938, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.601119, 37.983536, 41.615382, 43.413149, 151.118384], [12.571664, 13.733261, 13.899167, 14.124423, 34.294882], [15.266741, 16.343164, 18.060677, 18.432102, 44.059081], [32.255106, 32.595008, 34.436992, 36.263280, 64.187762], [30.416758, 33.996036, 38.256772, 39.055909, 56.740797]]
### 2
mean: [0.926543, -0.511002, -0.112424, -0.134906, -0.606317]
std: [1.007424, 0.579068, 1.051963, 0.792205, 0.703192]
pca: [[-0.549249, -0.364726, -0.295533, 0.064496, 0.688331, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.311430, -0.057769, 0.770046, -0.040620, 0.552317, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.570281, -0.418176, -0.381735, -0.582051, 0.124113, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.420081, -0.409004, -0.145253, 0.796747, -0.018537, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.315671, 0.722137, -0.390986, 0.143532, 0.453209, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.546310, 16.807397, 17.459962, 17.868044, 83.388844], [9.268718, 9.270564, 10.008072, 10.764593, 45.990132], [16.822926, 16.893707, 16.969581, 17.269274, 17.527732], [12.274542, 12.567608, 13.444070, 13.561801, 13.960993], [11.250031, 11.282494, 12.010363, 12.079857, 54.568537]]
### 4
mean: [0.192012, 0.439389, -0.687452, 0.026384, 0.362482]
std: [0.785655, 0.837992, 0.618106, 0.730892, 0.812324]
pca: [[0.459802, 0.755889, 0.044155, -0.263193, -0.382090, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.496647, 0.173417, 0.064738, 0.715235, 0.455540, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.358907, 0.131995, 0.793929, 0.348650, -0.319190, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.430385, 0.507189, 0.116053, -0.271445, 0.685841, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.477365, -0.351987, 0.591665, -0.473212, 0.272453, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.551896, 12.924442, 13.000983, 15.887661, 17.281086], [14.205429, 14.219412, 15.163153, 16.956077, 39.545024], [9.927559, 10.413528, 10.942182, 11.635466, 61.870663], [10.893656, 12.359481, 13.283766, 14.049551, 14.366089], [13.536018, 14.535920, 16.383455, 16.549945, 32.623362]]
### 6
mean: [-0.004873, -0.062491, -0.360797, 1.259641, 1.256310]
std: [0.544662, 0.638332, 0.328307, 1.464858, 1.475564]
pca: [[0.240126, -0.495956, -0.169732, -0.415815, 0.703318, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.281183, -0.268275, 0.873048, -0.214829, -0.201498, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.143994, 0.586185, 0.358807, 0.316364, 0.637827, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.646723, -0.319438, -0.163421, 0.666840, -0.091250, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.651376, 0.486212, -0.231366, -0.485988, -0.222693, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.302157, 8.403989, 9.203288, 10.511095, 10.906384], [9.929703, 10.281609, 10.652710, 11.844211, 12.360246], [5.165362, 5.405853, 5.822766, 6.235048, 32.471770], [22.225789, 24.632044, 27.933811, 29.045563, 113.367735], [22.520850, 24.796318, 27.712406, 29.218835, 113.067860]]
### 8
mean: [-1.261797, -1.250289, 2.701859, 0.901370, -1.880814]
std: [2.131356, 1.976063, 2.641376, 0.096833, 2.798005]
pca: [[0.441960, -0.268363, 0.150045, -0.278166, 0.795464, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.409780, 0.091192, 0.787572, 0.401864, -0.204937, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.547742, 0.214507, 0.111374, 0.575622, 0.556975, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.010244, 0.863511, 0.168815, -0.463835, 0.102970, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.580194, 0.357773, -0.562418, 0.463298, 0.066442, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.934676, 34.968341, 39.028584, 40.761596, 113.561749], [30.480241, 32.427166, 35.854307, 37.814002, 112.525979], [40.833880, 43.321204, 48.234169, 50.473920, 243.167275], [1.596041, 1.639875, 1.843060, 1.880903, 81.123314], [43.316354, 45.880022, 50.428322, 53.341874, 169.273310]]
### 10
mean: [1.066842, 2.392151, -0.455488, -0.989060, 0.489699]
std: [1.886633, 2.802719, 1.311591, 1.778634, 1.583973]
pca: [[0.436348, -0.229954, 0.542724, 0.601437, 0.316931, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.648002, 0.390829, 0.319986, -0.563273, -0.087629, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.303704, 0.019301, 0.166255, -0.375278, 0.859603, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.410545, -0.356137, 0.696889, -0.263341, -0.386804, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.359042, 0.816804, 0.299607, 0.332888, -0.057809, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.448721, 31.570011, 36.332756, 37.384549, 96.015742], [43.187929, 46.295501, 52.833472, 54.412287, 215.293608], [20.011316, 21.891656, 24.974251, 25.843529, 40.993918], [27.586160, 29.320260, 33.136845, 34.384424, 89.015374], [26.693861, 26.757487, 30.628009, 31.899280, 44.072873]]
### 12
mean: [-1.410322]
std: [3.105361]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[47.362582, 51.363203, 60.804560, 60.843332, 126.928964]]
## 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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.853739,
-0.123251,
0.262897,
0.284327,
0.161464
],
[
-0.113342,
0.372044,
0.111573,
-0.239106,
-0.202102
],
[
-0.477234,
-0.04518,
0.190988,
0.055277,
0.049926
],
[
-0.479527,
0.515345,
-0.707024,
0.087343,
0.109594
],
[
-0.871405,
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]
],
"network.0.bias": [
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0.5867,
0.098899,
0.72729
],
"network.2.weight": [
[
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0.628766,
0.261667,
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],
[
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-0.072193,
-0.272363,
-0.397869,
0.473908
],
[
-0.4249,
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0.150069,
-0.523134,
0.474096
],
[
-0.338269,
-0.375397,
0.180228,
-0.469649,
0.248359
],
[
-0.308025,
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-0.487854,
0.222084,
0.335727
]
],
"network.2.bias": [
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0.558082,
0.400189,
0.041261
],
"network.4.weight": [
[
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],
[
0.392388,
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-0.58225,
-0.395908
],
[
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0.525834,
0.1248,
0.374259,
-0.026695
],
[
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0.095871,
0.585359,
0.684604,
-0.241282
],
[
0.288177,
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0.112257
]
],
"network.4.bias": [
0.00908,
0.32062,
-0.296105,
0.14614,
0.403154
],
"network.6.weight": [
[
0.05954,
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0.374431
],
[
0.353949,
0.640651,
0.042244,
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-0.08788
],
[
0.257905,
0.284138,
0.14296,
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0.055092
],
[
0.527006,
0.784549,
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1.006086
],
[
0.479928,
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1.059339
]
],
"network.6.bias": [
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0.378333,
0.198353
],
"network.8.weight": [
[
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],
[
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-0.406299
],
[
0.328963,
0.271397,
0.047007,
0.778043,
1.042372
],
[
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0.206578,
0.105659
],
[
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]
],
"network.8.bias": [
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0.539457,
0.530624
],
"network.10.weight": [
[
-0.333867,
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0.519647,
0.065731,
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],
[
-0.504667,
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0.240328,
-0.626555
],
[
0.211943,
0.473253,
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0.128985,
0.249818
],
[
0.340848,
0.232526,
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0.220395,
0.052638
],
[
0.672709,
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1.067691
]
],
"network.10.bias": [
0.051536,
0.03245,
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0.314444,
0.203571
],
"network.12.weight": [
[
-0.572373,
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0.239141,
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]
],
"network.12.bias": [
-0.184071
]
}
## Activation Signature
### 0
mean: [1.679093, -0.381054, 0.489545, -0.713197, -0.630453]
std: [2.031140, 0.838921, 0.952897, 1.846577, 1.954199]
pca: [[0.614815, 0.171111, -0.554288, 0.453903, 0.281888, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.009167, 0.121528, 0.704855, 0.498174, 0.490050, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.222210, -0.375362, -0.056418, 0.712839, -0.546263, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.470033, 0.835414, -0.178659, 0.182203, -0.126635, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.592968, -0.342256, -0.401051, 0.066769, 0.604938, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.601119, 37.983536, 41.615382, 43.413149, 151.118384], [12.571664, 13.733261, 13.899167, 14.124423, 34.294882], [15.266741, 16.343164, 18.060677, 18.432102, 44.059081], [32.255106, 32.595008, 34.436992, 36.263280, 64.187762], [30.416758, 33.996036, 38.256772, 39.055909, 56.740797]]
### 2
mean: [0.926543, -0.511002, -0.112424, -0.134906, -0.606317]
std: [1.007424, 0.579068, 1.051963, 0.792205, 0.703192]
pca: [[-0.549249, -0.364726, -0.295533, 0.064496, 0.688331, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.311430, -0.057769, 0.770046, -0.040620, 0.552317, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.570281, -0.418176, -0.381735, -0.582051, 0.124113, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.420081, -0.409004, -0.145253, 0.796747, -0.018537, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.315671, 0.722137, -0.390986, 0.143532, 0.453209, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.546310, 16.807397, 17.459962, 17.868044, 83.388844], [9.268718, 9.270564, 10.008072, 10.764593, 45.990132], [16.822926, 16.893707, 16.969581, 17.269274, 17.527732], [12.274542, 12.567608, 13.444070, 13.561801, 13.960993], [11.250031, 11.282494, 12.010363, 12.079857, 54.568537]]
### 4
mean: [0.192012, 0.439389, -0.687452, 0.026384, 0.362482]
std: [0.785655, 0.837992, 0.618106, 0.730892, 0.812324]
pca: [[0.459802, 0.755889, 0.044155, -0.263193, -0.382090, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.496647, 0.173417, 0.064738, 0.715235, 0.455540, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.358907, 0.131995, 0.793929, 0.348650, -0.319190, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.430385, 0.507189, 0.116053, -0.271445, 0.685841, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.477365, -0.351987, 0.591665, -0.473212, 0.272453, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.551896, 12.924442, 13.000983, 15.887661, 17.281086], [14.205429, 14.219412, 15.163153, 16.956077, 39.545024], [9.927559, 10.413528, 10.942182, 11.635466, 61.870663], [10.893656, 12.359481, 13.283766, 14.049551, 14.366089], [13.536018, 14.535920, 16.383455, 16.549945, 32.623362]]
### 6
mean: [-0.004873, -0.062491, -0.360797, 1.259641, 1.256310]
std: [0.544662, 0.638332, 0.328307, 1.464858, 1.475564]
pca: [[0.240126, -0.495956, -0.169732, -0.415815, 0.703318, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.281183, -0.268275, 0.873048, -0.214829, -0.201498, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.143994, 0.586185, 0.358807, 0.316364, 0.637827, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.646723, -0.319438, -0.163421, 0.666840, -0.091250, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.651376, 0.486212, -0.231366, -0.485988, -0.222693, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.302157, 8.403989, 9.203288, 10.511095, 10.906384], [9.929703, 10.281609, 10.652710, 11.844211, 12.360246], [5.165362, 5.405853, 5.822766, 6.235048, 32.471770], [22.225789, 24.632044, 27.933811, 29.045563, 113.367735], [22.520850, 24.796318, 27.712406, 29.218835, 113.067860]]
### 8
mean: [-1.261797, -1.250289, 2.701859, 0.901370, -1.880814]
std: [2.131356, 1.976063, 2.641376, 0.096833, 2.798005]
pca: [[0.441960, -0.268363, 0.150045, -0.278166, 0.795464, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.409780, 0.091192, 0.787572, 0.401864, -0.204937, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.547742, 0.214507, 0.111374, 0.575622, 0.556975, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.010244, 0.863511, 0.168815, -0.463835, 0.102970, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.580194, 0.357773, -0.562418, 0.463298, 0.066442, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.934676, 34.968341, 39.028584, 40.761596, 113.561749], [30.480241, 32.427166, 35.854307, 37.814002, 112.525979], [40.833880, 43.321204, 48.234169, 50.473920, 243.167275], [1.596041, 1.639875, 1.843060, 1.880903, 81.123314], [43.316354, 45.880022, 50.428322, 53.341874, 169.273310]]
### 10
mean: [1.066842, 2.392151, -0.455488, -0.989060, 0.489699]
std: [1.886633, 2.802719, 1.311591, 1.778634, 1.583973]
pca: [[0.436348, -0.229954, 0.542724, 0.601437, 0.316931, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.648002, 0.390829, 0.319986, -0.563273, -0.087629, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.303704, 0.019301, 0.166255, -0.375278, 0.859603, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.410545, -0.356137, 0.696889, -0.263341, -0.386804, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.359042, 0.816804, 0.299607, 0.332888, -0.057809, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.448721, 31.570011, 36.332756, 37.384549, 96.015742], [43.187929, 46.295501, 52.833472, 54.412287, 215.293608], [20.011316, 21.891656, 24.974251, 25.843529, 40.993918], [27.586160, 29.320260, 33.136845, 34.384424, 89.015374], [26.693861, 26.757487, 30.628009, 31.899280, 44.072873]]
### 12
mean: [-1.410322]
std: [3.105361]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[47.362582, 51.363203, 60.804560, 60.843332, 126.928964]]
## 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": {"mean": 1.6790932416915894, "std": 2.0311403274536133, "pca": [0.6148145794868469, 0.1711113303899765, -0.5542880296707153, 0.4539029598236084, 0.2818879187107086, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [32.601119335448296, 37.98353585750617, 41.615382163608004, 43.41314935682981, 151.11838400363922]}, "1": {"mean": -0.38105422258377075, "std": 0.8389214873313904, "pca": [0.009167207404971123, 0.12152803689241409, 0.7048550248146057, 0.49817362427711487, 0.49005037546157837, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [12.571663555883857, 13.733260501973968, 13.899166589329555, 14.124422742897806, 34.2948822081089]}, "2": {"mean": 0.4895453453063965, "std": 0.9528971910476685, "pca": [-0.22220991551876068, -0.3753623962402344, -0.05641844496130943, 0.7128387689590454, -0.5462633371353149, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [15.266741380205207, 16.343163723664944, 18.060676685346433, 18.432101817472216, 44.05908074975014]}, "3": {"mean": 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"fourier": [26.693860842989057, 26.757486905740897, 30.628008659131225, 31.899280229017, 44.07287269830704]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "12": {"neuron_profiles": {"0": {"mean": -1.4103219509124756, "std": 3.105361223220825, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [47.36258222745708, 51.36320265643781, 60.804560417429656, 60.84333172200173, 126.92896391451359]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.853739, -0.123251, 0.262897, 0.284327, 0.161464], [-0.113342, 0.372044, 0.111573, -0.239106, -0.202102], [-0.477234, -0.04518, 0.190988, 0.055277, 0.049926], [-0.479527, 0.515345, -0.707024, 0.087343, 0.109594], [-0.871405, -0.037078, -0.237926, -0.073079, 0.363203]], "network.0.bias": [-0.516771, -0.389008, 0.5867, 0.098899, 0.72729], "network.2.weight": [[0.514725, 0.541309, 0.628766, 0.261667, -0.492973], [-0.263408, -0.072193, -0.272363, -0.397869, 0.473908], [-0.4249, -0.874574, 0.150069, -0.523134, 0.474096], [-0.338269, -0.375397, 0.180228, -0.469649, 0.248359], [-0.308025, -0.205434, -0.487854, 0.222084, 0.335727]], "network.2.bias": [-0.256681, 0.062459, 0.558082, 0.400189, 0.041261], "network.4.weight": [[0.352114, -0.879665, -0.811311, -0.144762, -0.753029], [0.392388, -0.401612, -0.793656, -0.58225, -0.395908], [-0.488231, 0.525834, 0.1248, 0.374259, -0.026695], [-0.404328, 0.095871, 0.585359, 0.684604, -0.241282], [0.288177, -0.451291, -0.8301, -0.865285, 0.112257]], "network.4.bias": [0.00908, 0.32062, -0.296105, 0.14614, 0.403154], "network.6.weight": [[0.05954, 0.36301, -0.236974, -0.268783, 0.374431], [0.353949, 0.640651, 0.042244, -0.42465, -0.08788], [0.257905, 0.284138, 0.14296, -0.081041, 0.055092], [0.527006, 0.784549, -0.095152, -0.688794, 1.006086], [0.479928, 0.953516, -0.395157, -0.397755, 1.059339]], "network.6.bias": [-0.340068, -0.372024, -0.582284, 0.378333, 0.198353], "network.8.weight": [[-0.247343, 0.027806, -0.41058, -0.662591, -0.841744], [-1.01113, 0.040493, -0.705564, -0.815487, -0.406299], [0.328963, 0.271397, 0.047007, 0.778043, 1.042372], [-0.722815, -0.353545, -0.717639, 0.206578, 0.105659], [-0.464504, -0.730234, -0.70309, -0.931285, -0.832747]], "network.8.bias": [0.719307, 0.41159, 0.224585, 0.539457, 0.530624], "network.10.weight": [[-0.333867, -0.650676, 0.519647, 0.065731, -0.592212], [-0.504667, 0.150412, 0.925416, 0.240328, -0.626555], [0.211943, 0.473253, -0.389828, 0.128985, 0.249818], [0.340848, 0.232526, -0.606049, 0.220395, 0.052638], [0.672709, 0.670015, -0.28713, 0.49667, 1.067691]], "network.10.bias": [0.051536, 0.03245, 0.252007, 0.314444, 0.203571], "network.12.weight": [[-0.572373, -0.472217, 0.280546, 0.239141, 0.763075]], "network.12.bias": [-0.184071]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6826860904693604, "train_acc": 0.575, "val_loss": 0.6891593933105469, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.678998738527298, "train_acc": 0.575, "val_loss": 0.6801766753196716, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6620045304298401, "train_acc": 0.575, "val_loss": 0.6429200768470764, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6184900999069214, "train_acc": 0.59, "val_loss": 0.4452593922615051, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.3731205314397812, "train_acc": 0.87, "val_loss": 0.17136292159557343, "val_acc": 0.96}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.33332018554210663, "train_acc": 0.91, "val_loss": 0.2038380205631256, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4252159297466278, "train_acc": 0.895, "val_loss": 0.17844289541244507, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.1618758626282215, "train_acc": 0.95, "val_loss": 0.3777060806751251, "val_acc": 0.86}], "summary": {"total_epochs": 8, "degraded_epochs": 3, "improved_epochs": 5, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6891593933105469, "final_val_loss": 0.6429200768470764, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.4452593922615051, "final_val_loss": 0.3777060806751251, "initial_val_acc": 0.88, "final_val_acc": 0.86, "best_val_acc": 0.96, "best_epoch": 4}, "improvement": 0.41999999999999993, "first_improvement_epoch": 2}}
|
9,494
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.5, "improved_accuracy": 0.96, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9094, "learning_rate": 0.056358448339353565, "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: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.0.bias": [
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"network.2.weight": [
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## Activation Signature
### 0
mean: [2.414663, 1.742547, -2.914474, 0.007981, -2.300670, 1.423927, -0.948235, -0.530963]
std: [2.874098, 2.411238, 1.865533, 1.242464, 1.601574, 2.386615, 1.503578, 1.189372]
pca: [[0.601212, -0.014118, -0.235962, 0.354853, 0.397136, -0.445945, 0.263464, 0.175355, 0.000000, 0.000000], [0.448827, -0.095321, 0.695362, 0.215414, 0.136966, 0.239891, -0.405161, -0.138110, 0.000000, 0.000000], [-0.301810, 0.385949, 0.057735, 0.629306, -0.096464, -0.235723, 0.021583, -0.543377, 0.000000, 0.000000], [0.130660, 0.461116, -0.276373, -0.054910, 0.440435, 0.661808, 0.140865, -0.197703, 0.000000, 0.000000], [-0.287257, 0.372221, 0.026426, 0.300238, 0.156622, 0.025009, -0.378738, 0.720760, 0.000000, 0.000000], [0.399663, 0.671864, 0.065404, -0.364319, -0.432194, -0.238230, -0.089647, 0.016752, 0.000000, 0.000000], [-0.260212, 0.127884, 0.215830, -0.453564, 0.639124, -0.435070, -0.163052, -0.198193, 0.000000, 0.000000], [-0.137770, 0.151084, 0.574038, -0.006586, 0.020813, 0.058011, 0.753696, 0.238275, 0.000000, 0.000000]]
fourier: [[45.104440, 47.958242, 48.679772, 53.045780, 217.319661], [44.047543, 46.218279, 48.253936, 52.002814, 156.829234], [27.417472, 31.701869, 31.739632, 36.682297, 262.302654], [17.407688, 18.052282, 19.470258, 21.410021, 30.128037], [25.169636, 25.613509, 26.342958, 30.337797, 207.060318], [35.904457, 37.504367, 39.313308, 42.343368, 128.153464], [25.286410, 25.618236, 25.645653, 29.395709, 85.341128], [18.766269, 18.882748, 21.254162, 22.144130, 47.786641]]
### 2
mean: [-1.889975, 2.710972, -0.671734, 4.782405, -0.490732, -1.468334, 2.453649, -0.543970]
std: [2.361644, 3.112610, 0.423703, 5.186342, 0.792374, 1.337102, 2.468722, 0.185413]
pca: [[-0.317991, 0.707013, 0.396644, 0.375526, 0.210806, 0.127098, 0.199968, 0.009374, 0.000000, 0.000000], [0.441708, 0.227137, -0.075796, -0.125530, -0.229502, -0.134285, 0.636430, -0.506017, 0.000000, 0.000000], [-0.051912, -0.142017, -0.136112, -0.321787, 0.395011, 0.704410, 0.422380, 0.156301, 0.000000, 0.000000], [0.737602, 0.184538, 0.115965, 0.117452, 0.329926, 0.273868, -0.447084, -0.104435, 0.000000, 0.000000], [-0.052331, -0.565960, 0.686139, 0.198131, 0.034563, 0.113670, 0.093852, -0.379453, 0.000000, 0.000000], [-0.179978, -0.134385, -0.574852, 0.615883, 0.107088, 0.191492, -0.041584, -0.435792, 0.000000, 0.000000], [0.348685, -0.213888, -0.004646, 0.548788, -0.055725, -0.101837, 0.384288, 0.608545, 0.000000, 0.000000], [-0.017657, -0.100995, -0.060747, -0.078388, 0.788820, -0.578494, 0.135888, -0.065539, 0.000000, 0.000000]]
fourier: [[37.284448, 39.106778, 44.461360, 45.211670, 170.097803], [53.016457, 53.474461, 54.960244, 57.927517, 243.987461], [6.851504, 7.315921, 7.959768, 8.058094, 60.456094], [90.113359, 90.302426, 91.737629, 96.625038, 430.416470], [11.424224, 12.847319, 13.139999, 14.492287, 44.165857], [25.008924, 25.413855, 25.810200, 26.072073, 132.150091], [43.370796, 43.385354, 45.610846, 45.789070, 220.828398], [2.566119, 2.592192, 3.339165, 3.434182, 48.957283]]
### 4
mean: [-1.039407, 3.692628, -0.480929, 4.749932, -0.546383, 5.516855, -2.753573, 1.844466]
std: [0.535836, 3.290732, 0.373866, 5.644659, 0.270662, 6.125878, 2.684357, 2.201408]
pca: [[-0.054919, -0.291980, 0.180913, 0.047030, 0.321333, -0.106585, 0.866708, -0.104844, 0.000000, 0.000000], [0.341735, -0.206361, -0.351643, 0.697988, 0.164228, 0.264752, 0.003400, 0.364304, 0.000000, 0.000000], [-0.038775, 0.045462, 0.052630, 0.127232, 0.747511, -0.534199, -0.357091, -0.076269, 0.000000, 0.000000], [0.586326, -0.131586, 0.548218, -0.126563, -0.168917, -0.306001, -0.035797, 0.445977, 0.000000, 0.000000], [-0.027561, -0.081452, 0.657075, 0.179055, 0.224949, 0.600537, -0.217652, -0.264912, 0.000000, 0.000000], [0.636232, 0.371670, -0.236943, -0.389552, 0.328461, 0.278899, 0.121966, -0.220522, 0.000000, 0.000000], [-0.277952, 0.726930, 0.184656, 0.093756, 0.143163, 0.109161, 0.207538, 0.525304, 0.000000, 0.000000], [0.228279, 0.423771, 0.135345, 0.534596, -0.321692, -0.298655, 0.121202, -0.506779, 0.000000, 0.000000]]
fourier: [[9.577328, 9.578086, 9.995042, 10.211338, 93.546619], [56.500793, 57.418979, 57.716140, 60.826133, 332.336475], [6.472163, 6.630543, 6.712957, 6.978972, 43.283569], [96.244368, 99.298009, 100.343093, 104.884665, 427.493905], [4.600777, 4.641689, 4.912364, 5.110900, 49.174451], [104.410534, 107.815733, 110.112866, 114.219084, 496.516967], [45.732048, 45.843749, 48.435299, 49.529925, 247.821600], [38.142304, 39.428692, 40.191122, 40.782566, 166.001963]]
### 6
mean: [-2.828405, 8.640438, 7.657206, 5.437860, 1.660722, 6.308476, 5.304852, -1.224308]
std: [2.799305, 9.760832, 8.600760, 6.709236, 0.322015, 7.721733, 6.256061, 1.188614]
pca: [[-0.155900, -0.304308, 0.130741, 0.480635, 0.230777, 0.425496, 0.628241, -0.077442, 0.000000, 0.000000], [0.543640, 0.123017, -0.496531, 0.091082, -0.174453, 0.611397, -0.135326, -0.109224, 0.000000, 0.000000], [0.479029, -0.078985, 0.360760, 0.135144, -0.164563, -0.030743, 0.077447, 0.762796, 0.000000, 0.000000], [0.373678, 0.053891, 0.555782, -0.135084, 0.576552, 0.179011, -0.264669, -0.309537, 0.000000, 0.000000], [0.017257, 0.899178, -0.029595, 0.204658, 0.192985, -0.116336, 0.305443, 0.065941, 0.000000, 0.000000], [0.430068, -0.272642, -0.443304, 0.129175, 0.427342, -0.555736, 0.180101, -0.060028, 0.000000, 0.000000], [0.348438, 0.015601, 0.305349, 0.017393, -0.572201, -0.252270, 0.332632, -0.532079, 0.000000, 0.000000], [-0.066192, 0.004823, 0.081797, 0.815665, -0.097654, -0.161678, -0.524001, -0.115510, 0.000000, 0.000000]]
fourier: [[48.007808, 48.789925, 49.694534, 51.716049, 254.556422], [166.096799, 170.560812, 174.105004, 180.413800, 777.639473], [146.402272, 150.446317, 153.684924, 159.333799, 689.148580], [114.111779, 117.336931, 119.818460, 124.400000, 489.407365], [5.287418, 5.746959, 5.921775, 5.958863, 149.465002], [131.667456, 134.995053, 138.061383, 142.707828, 567.762858], [106.428171, 109.410249, 111.727502, 115.907215, 477.436662], [20.476485, 20.649698, 21.234372, 21.935587, 110.187701]]
### 8
mean: [-0.802657, 20.947308, -1.453197, 0.466950, -0.277857, 14.436581, 7.889159, 0.221884]
std: [0.349693, 25.641878, 1.317851, 2.153382, 0.085117, 17.762352, 9.666450, 2.089360]
pca: [[-0.010631, -0.134025, 0.183407, -0.303223, 0.418529, -0.300303, 0.156552, 0.752652, 0.000000, 0.000000], [0.781238, 0.103592, -0.293262, -0.488739, -0.160143, -0.113900, -0.121298, -0.027119, 0.000000, 0.000000], [-0.040146, -0.044183, 0.565654, -0.475034, 0.376150, 0.189764, -0.334898, -0.401445, 0.000000, 0.000000], [-0.065507, 0.764492, -0.163412, -0.052886, 0.432888, -0.078483, 0.385733, -0.198542, 0.000000, 0.000000], [-0.002549, 0.000076, -0.489803, 0.130909, 0.453759, 0.505078, -0.482520, 0.221638, 0.000000, 0.000000], [0.541170, 0.076244, 0.377260, 0.650018, 0.272430, -0.193288, -0.157714, -0.004642, 0.000000, 0.000000], [0.294510, -0.125564, 0.199940, 0.008894, -0.003358, 0.710796, 0.584899, 0.100473, 0.000000, 0.000000], [-0.063592, 0.602766, 0.333892, -0.031556, -0.436097, 0.238706, -0.316269, 0.415888, 0.000000, 0.000000]]
fourier: [[5.943641, 6.097317, 6.220788, 6.409792, 72.239164], [438.207784, 444.808487, 456.928894, 472.269306, 1885.257807], [22.617798, 22.756147, 23.267312, 24.063667, 130.787715], [37.109626, 37.823913, 38.788605, 38.978790, 42.025513], [1.479304, 1.634736, 1.659241, 1.678456, 25.007098], [303.583259, 308.341846, 316.634215, 327.131694, 1299.292243], [165.371178, 167.601503, 172.430957, 177.933838, 710.024228], [35.877271, 35.974857, 36.554522, 37.403974, 37.890855]]
### 10
mean: [-24.228193]
std: [32.768547]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[562.261129, 563.812213, 585.072318, 606.281523, 2180.537398]]
## 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: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
mean: [2.414663, 1.742547, -2.914474, 0.007981, -2.300670, 1.423927, -0.948235, -0.530963]
std: [2.874098, 2.411238, 1.865533, 1.242464, 1.601574, 2.386615, 1.503578, 1.189372]
pca: [[0.601212, -0.014118, -0.235962, 0.354853, 0.397136, -0.445945, 0.263464, 0.175355, 0.000000, 0.000000], [0.448827, -0.095321, 0.695362, 0.215414, 0.136966, 0.239891, -0.405161, -0.138110, 0.000000, 0.000000], [-0.301810, 0.385949, 0.057735, 0.629306, -0.096464, -0.235723, 0.021583, -0.543377, 0.000000, 0.000000], [0.130660, 0.461116, -0.276373, -0.054910, 0.440435, 0.661808, 0.140865, -0.197703, 0.000000, 0.000000], [-0.287257, 0.372221, 0.026426, 0.300238, 0.156622, 0.025009, -0.378738, 0.720760, 0.000000, 0.000000], [0.399663, 0.671864, 0.065404, -0.364319, -0.432194, -0.238230, -0.089647, 0.016752, 0.000000, 0.000000], [-0.260212, 0.127884, 0.215830, -0.453564, 0.639124, -0.435070, -0.163052, -0.198193, 0.000000, 0.000000], [-0.137770, 0.151084, 0.574038, -0.006586, 0.020813, 0.058011, 0.753696, 0.238275, 0.000000, 0.000000]]
fourier: [[45.104440, 47.958242, 48.679772, 53.045780, 217.319661], [44.047543, 46.218279, 48.253936, 52.002814, 156.829234], [27.417472, 31.701869, 31.739632, 36.682297, 262.302654], [17.407688, 18.052282, 19.470258, 21.410021, 30.128037], [25.169636, 25.613509, 26.342958, 30.337797, 207.060318], [35.904457, 37.504367, 39.313308, 42.343368, 128.153464], [25.286410, 25.618236, 25.645653, 29.395709, 85.341128], [18.766269, 18.882748, 21.254162, 22.144130, 47.786641]]
### 2
mean: [-1.889975, 2.710972, -0.671734, 4.782405, -0.490732, -1.468334, 2.453649, -0.543970]
std: [2.361644, 3.112610, 0.423703, 5.186342, 0.792374, 1.337102, 2.468722, 0.185413]
pca: [[-0.317991, 0.707013, 0.396644, 0.375526, 0.210806, 0.127098, 0.199968, 0.009374, 0.000000, 0.000000], [0.441708, 0.227137, -0.075796, -0.125530, -0.229502, -0.134285, 0.636430, -0.506017, 0.000000, 0.000000], [-0.051912, -0.142017, -0.136112, -0.321787, 0.395011, 0.704410, 0.422380, 0.156301, 0.000000, 0.000000], [0.737602, 0.184538, 0.115965, 0.117452, 0.329926, 0.273868, -0.447084, -0.104435, 0.000000, 0.000000], [-0.052331, -0.565960, 0.686139, 0.198131, 0.034563, 0.113670, 0.093852, -0.379453, 0.000000, 0.000000], [-0.179978, -0.134385, -0.574852, 0.615883, 0.107088, 0.191492, -0.041584, -0.435792, 0.000000, 0.000000], [0.348685, -0.213888, -0.004646, 0.548788, -0.055725, -0.101837, 0.384288, 0.608545, 0.000000, 0.000000], [-0.017657, -0.100995, -0.060747, -0.078388, 0.788820, -0.578494, 0.135888, -0.065539, 0.000000, 0.000000]]
fourier: [[37.284448, 39.106778, 44.461360, 45.211670, 170.097803], [53.016457, 53.474461, 54.960244, 57.927517, 243.987461], [6.851504, 7.315921, 7.959768, 8.058094, 60.456094], [90.113359, 90.302426, 91.737629, 96.625038, 430.416470], [11.424224, 12.847319, 13.139999, 14.492287, 44.165857], [25.008924, 25.413855, 25.810200, 26.072073, 132.150091], [43.370796, 43.385354, 45.610846, 45.789070, 220.828398], [2.566119, 2.592192, 3.339165, 3.434182, 48.957283]]
### 4
mean: [-1.039407, 3.692628, -0.480929, 4.749932, -0.546383, 5.516855, -2.753573, 1.844466]
std: [0.535836, 3.290732, 0.373866, 5.644659, 0.270662, 6.125878, 2.684357, 2.201408]
pca: [[-0.054919, -0.291980, 0.180913, 0.047030, 0.321333, -0.106585, 0.866708, -0.104844, 0.000000, 0.000000], [0.341735, -0.206361, -0.351643, 0.697988, 0.164228, 0.264752, 0.003400, 0.364304, 0.000000, 0.000000], [-0.038775, 0.045462, 0.052630, 0.127232, 0.747511, -0.534199, -0.357091, -0.076269, 0.000000, 0.000000], [0.586326, -0.131586, 0.548218, -0.126563, -0.168917, -0.306001, -0.035797, 0.445977, 0.000000, 0.000000], [-0.027561, -0.081452, 0.657075, 0.179055, 0.224949, 0.600537, -0.217652, -0.264912, 0.000000, 0.000000], [0.636232, 0.371670, -0.236943, -0.389552, 0.328461, 0.278899, 0.121966, -0.220522, 0.000000, 0.000000], [-0.277952, 0.726930, 0.184656, 0.093756, 0.143163, 0.109161, 0.207538, 0.525304, 0.000000, 0.000000], [0.228279, 0.423771, 0.135345, 0.534596, -0.321692, -0.298655, 0.121202, -0.506779, 0.000000, 0.000000]]
fourier: [[9.577328, 9.578086, 9.995042, 10.211338, 93.546619], [56.500793, 57.418979, 57.716140, 60.826133, 332.336475], [6.472163, 6.630543, 6.712957, 6.978972, 43.283569], [96.244368, 99.298009, 100.343093, 104.884665, 427.493905], [4.600777, 4.641689, 4.912364, 5.110900, 49.174451], [104.410534, 107.815733, 110.112866, 114.219084, 496.516967], [45.732048, 45.843749, 48.435299, 49.529925, 247.821600], [38.142304, 39.428692, 40.191122, 40.782566, 166.001963]]
### 6
mean: [-2.828405, 8.640438, 7.657206, 5.437860, 1.660722, 6.308476, 5.304852, -1.224308]
std: [2.799305, 9.760832, 8.600760, 6.709236, 0.322015, 7.721733, 6.256061, 1.188614]
pca: [[-0.155900, -0.304308, 0.130741, 0.480635, 0.230777, 0.425496, 0.628241, -0.077442, 0.000000, 0.000000], [0.543640, 0.123017, -0.496531, 0.091082, -0.174453, 0.611397, -0.135326, -0.109224, 0.000000, 0.000000], [0.479029, -0.078985, 0.360760, 0.135144, -0.164563, -0.030743, 0.077447, 0.762796, 0.000000, 0.000000], [0.373678, 0.053891, 0.555782, -0.135084, 0.576552, 0.179011, -0.264669, -0.309537, 0.000000, 0.000000], [0.017257, 0.899178, -0.029595, 0.204658, 0.192985, -0.116336, 0.305443, 0.065941, 0.000000, 0.000000], [0.430068, -0.272642, -0.443304, 0.129175, 0.427342, -0.555736, 0.180101, -0.060028, 0.000000, 0.000000], [0.348438, 0.015601, 0.305349, 0.017393, -0.572201, -0.252270, 0.332632, -0.532079, 0.000000, 0.000000], [-0.066192, 0.004823, 0.081797, 0.815665, -0.097654, -0.161678, -0.524001, -0.115510, 0.000000, 0.000000]]
fourier: [[48.007808, 48.789925, 49.694534, 51.716049, 254.556422], [166.096799, 170.560812, 174.105004, 180.413800, 777.639473], [146.402272, 150.446317, 153.684924, 159.333799, 689.148580], [114.111779, 117.336931, 119.818460, 124.400000, 489.407365], [5.287418, 5.746959, 5.921775, 5.958863, 149.465002], [131.667456, 134.995053, 138.061383, 142.707828, 567.762858], [106.428171, 109.410249, 111.727502, 115.907215, 477.436662], [20.476485, 20.649698, 21.234372, 21.935587, 110.187701]]
### 8
mean: [-0.802657, 20.947308, -1.453197, 0.466950, -0.277857, 14.436581, 7.889159, 0.221884]
std: [0.349693, 25.641878, 1.317851, 2.153382, 0.085117, 17.762352, 9.666450, 2.089360]
pca: [[-0.010631, -0.134025, 0.183407, -0.303223, 0.418529, -0.300303, 0.156552, 0.752652, 0.000000, 0.000000], [0.781238, 0.103592, -0.293262, -0.488739, -0.160143, -0.113900, -0.121298, -0.027119, 0.000000, 0.000000], [-0.040146, -0.044183, 0.565654, -0.475034, 0.376150, 0.189764, -0.334898, -0.401445, 0.000000, 0.000000], [-0.065507, 0.764492, -0.163412, -0.052886, 0.432888, -0.078483, 0.385733, -0.198542, 0.000000, 0.000000], [-0.002549, 0.000076, -0.489803, 0.130909, 0.453759, 0.505078, -0.482520, 0.221638, 0.000000, 0.000000], [0.541170, 0.076244, 0.377260, 0.650018, 0.272430, -0.193288, -0.157714, -0.004642, 0.000000, 0.000000], [0.294510, -0.125564, 0.199940, 0.008894, -0.003358, 0.710796, 0.584899, 0.100473, 0.000000, 0.000000], [-0.063592, 0.602766, 0.333892, -0.031556, -0.436097, 0.238706, -0.316269, 0.415888, 0.000000, 0.000000]]
fourier: [[5.943641, 6.097317, 6.220788, 6.409792, 72.239164], [438.207784, 444.808487, 456.928894, 472.269306, 1885.257807], [22.617798, 22.756147, 23.267312, 24.063667, 130.787715], [37.109626, 37.823913, 38.788605, 38.978790, 42.025513], [1.479304, 1.634736, 1.659241, 1.678456, 25.007098], [303.583259, 308.341846, 316.634215, 327.131694, 1299.292243], [165.371178, 167.601503, 172.430957, 177.933838, 710.024228], [35.877271, 35.974857, 36.554522, 37.403974, 37.890855]]
### 10
mean: [-24.228193]
std: [32.768547]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[562.261129, 563.812213, 585.072318, 606.281523, 2180.537398]]
## 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
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.842639, 0.695488, 0.490333, -0.232956, -0.117247], [1.082666, -0.329486, 0.442814, 0.220669, -0.062843], [-0.160418, -0.321448, -0.480262, -0.417512, -0.224829], [0.263679, 0.526459, -0.420086, -0.216675, 0.110627], [-0.215169, -0.211842, -0.531679, -0.298539, -0.026599], [0.988892, 0.472923, -0.50126, 0.244582, -0.06623], [-0.307821, -0.273192, -0.428058, 0.127193, 0.418665], [0.185666, -0.618729, -0.260493, 0.159099, 0.062294]], "network.0.bias": [-0.281373, -0.325069, 0.046742, -0.073758, 0.136744, -0.064199, 0.037702, 0.491581], "network.2.weight": [[0.172609, -0.414641, -0.160511, 0.063432, -0.001536, -0.953168, 0.290676, -0.440607], [0.591382, 0.299294, 0.264803, 0.035747, -0.115921, 0.486862, -0.048632, 0.271413], [-0.165702, -0.023975, -0.226375, -0.111002, -0.320357, 0.070068, -0.309025, 0.062819], [0.886395, 0.653115, 0.219285, 0.442558, 0.002532, 0.705577, 0.058855, 0.935386], [-0.382069, 0.340411, 0.114574, 0.147091, -0.005265, -0.03864, 0.424879, 0.47139], [-0.22995, -0.330557, 0.106505, 0.317525, -0.222192, -0.082484, -0.056702, 0.122978], [0.264759, 0.357373, 0.174025, 0.473641, -0.095507, 0.438003, 0.256506, 0.74922], [-0.149175, 0.076895, 0.299236, 0.198635, -0.295294, -0.013918, -0.115288, -0.084806]], "network.2.bias": [0.061504, -0.231906, -0.216651, -0.316199, -0.368652, -0.300061, -0.080649, -0.338915], "network.4.weight": [[0.12352, 0.149279, 0.301262, -0.110709, -0.042662, -0.192409, -0.169957, -0.110516], [0.615876, 0.511128, 0.202694, 0.216261, 0.089388, 0.21639, 0.247057, 0.266723], [-0.058049, 0.142005, -0.500275, -0.17072, 0.055754, -0.340338, 0.030356, -0.217306], [0.106673, 0.425815, -0.141477, 0.803401, 0.437306, -0.073551, 0.076233, 0.15734], [0.071168, 0.159291, -0.33541, -0.071441, 0.187911, -0.205307, -0.153706, 0.003814], [-0.327258, 0.241367, -0.186568, 0.825377, 0.376936, 0.132568, 0.453967, -0.04078], [-0.439322, -0.362047, 0.25099, -0.374277, 0.133561, -0.177286, 0.156299, 0.167843], [0.170388, 0.126263, 0.161673, 0.201233, 0.325496, -0.221381, 0.320316, 0.414253]], "network.4.bias": [-0.498495, 0.627688, -0.130589, -0.49687, -0.287154, -0.236976, -0.362399, -0.293965], "network.6.weight": [[-0.045106, -0.146641, 0.134187, -0.289487, -0.250253, -0.113509, 0.234756, 0.000596], [-0.195595, 0.275552, -0.003592, 0.802216, 0.032601, 0.530127, -0.446011, 0.509402], [-0.083521, 0.056017, 0.263901, 0.623889, -0.022745, 0.709491, -0.432152, 0.263285], [-0.141534, 0.037989, -0.160076, 0.490115, -0.107783, 0.607974, -0.011973, 0.052021], [0.28615, 0.680983, -0.103321, -0.103193, -0.362277, -0.156128, -0.147403, -0.18132], [-0.096598, -0.021112, 0.063087, 0.673598, -0.185169, 0.467367, -0.184753, 0.528675], [0.032047, 0.066534, -0.114092, 0.458348, -0.333484, 0.513691, -0.154252, 0.14762], [-0.002296, 0.171982, 0.270062, -0.246958, -0.009834, -0.077334, 0.117562, 0.047726]], "network.6.bias": [-0.274304, -0.097343, 0.053914, -0.503451, 0.840489, -0.407062, -0.247632, -0.338131], "network.8.weight": [[-0.160581, -0.232666, 0.199673, 0.251154, -0.201698, -0.165596, -0.021439, -0.149448], [-0.172911, 0.65939, 0.536492, 0.757332, -0.339884, 0.810686, 0.551272, 0.207618], [-0.291243, -0.328857, 0.226768, 0.082709, -0.1569, -0.289904, 0.266849, 0.203589], [-0.204962, 0.229991, 0.23489, -0.145248, 0.948838, -0.351657, -0.488138, -0.074338], [0.181467, 0.177041, -0.291522, 0.131302, 0.037886, -0.113121, 0.108701, -0.026862], [-0.287662, 0.649564, 0.240437, 0.208159, -0.287921, 0.802745, 0.304629, 0.101824], [-0.339767, 0.108132, 0.104712, 0.089937, -0.333377, 0.423137, 0.636412, 0.288063], [0.095656, 0.116334, 0.152445, -0.506132, 0.712771, -0.112867, -0.08344, -0.039491]], "network.8.bias": [-0.199551, -0.55868, -0.118578, 0.744018, -0.219556, -0.417867, 0.127317, 0.81341], "network.10.weight": [[0.107938, -0.861491, -0.331182, 0.795968, -0.05655, -0.575132, 0.048362, 0.744674]], "network.10.bias": [0.256434]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6845101416110992, "train_acc": 0.565, "val_loss": 0.6921230554580688, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6658092737197876, "train_acc": 0.565, "val_loss": 0.654856264591217, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5939559638500214, "train_acc": 0.5, "val_loss": 0.515919029712677, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4485621452331543, "train_acc": 0.78, "val_loss": 0.44435906410217285, "val_acc": 0.74}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.35943616926670074, "train_acc": 0.84, "val_loss": 0.34502705931663513, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.2414359375834465, "train_acc": 0.895, "val_loss": 0.3026101589202881, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.1984720304608345, "train_acc": 0.94, "val_loss": 0.18185783922672272, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.1596684530377388, "train_acc": 0.935, "val_loss": 0.22997209429740906, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.14148005843162537, "train_acc": 0.955, "val_loss": 0.16918759047985077, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.1189209371805191, "train_acc": 0.955, "val_loss": 0.2950451970100403, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.11372772231698036, "train_acc": 0.97, "val_loss": 0.19996601343154907, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.15095686167478561, "train_acc": 0.955, "val_loss": 0.1715846210718155, "val_acc": 0.92}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6921230554580688, "final_val_loss": 0.654856264591217, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.515919029712677, "final_val_loss": 0.1715846210718155, "initial_val_acc": 0.72, "final_val_acc": 0.92, "best_val_acc": 0.96, "best_epoch": 8}, "improvement": 0.45999999999999996, "first_improvement_epoch": 1}}
|
9,495
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.48, "improved_accuracy": 0.86, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8354, "learning_rate": 0.07569449495545647, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_ascending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_ascending"], "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
mean: [1.762111, -0.626860, 0.125567, -1.264438, 0.824246, 3.047019, 0.323624, 0.439438]
std: [1.537381, 2.498233, 2.069564, 1.449303, 2.404649, 2.464386, 1.697567, 1.661039]
pca: [[0.173284, 0.441885, 0.306001, -0.170271, 0.337689, 0.582174, 0.345105, 0.282883, 0.000000, 0.000000], [0.535255, -0.076381, -0.011570, 0.286023, 0.430669, -0.422349, 0.458225, -0.227816, 0.000000, 0.000000], [0.381577, -0.033526, 0.470322, 0.609489, -0.388225, 0.128208, -0.247938, 0.178792, 0.000000, 0.000000], [0.027529, -0.525810, -0.032470, -0.051806, 0.352765, -0.097400, -0.135315, 0.752853, 0.000000, 0.000000], [-0.493297, -0.281816, 0.185750, 0.232734, -0.270863, 0.017642, 0.710259, 0.102097, 0.000000, 0.000000], [-0.410404, 0.582132, 0.179921, 0.266566, 0.216203, -0.509371, -0.130309, 0.257057, 0.000000, 0.000000], [-0.212495, -0.307365, 0.715166, -0.181748, 0.345637, -0.019586, -0.208583, -0.390542, 0.000000, 0.000000], [-0.283176, -0.092366, -0.325017, 0.597313, 0.430991, 0.443414, -0.161844, -0.200743, 0.000000, 0.000000]]
fourier: [[23.485041, 23.600719, 24.140590, 28.263631, 158.590017], [37.576259, 39.512078, 39.680075, 43.313100, 56.417358], [30.524199, 32.392442, 32.965910, 33.241965, 39.352213], [21.719184, 22.108425, 26.981598, 27.249403, 113.799434], [38.553480, 40.531313, 44.640211, 45.486530, 74.182123], [36.928206, 39.040460, 48.194159, 50.686796, 274.231697], [27.116740, 27.714934, 29.126164, 32.079619, 35.406194], [26.511938, 29.624878, 30.356875, 38.812969, 39.549445]]
### 2
mean: [1.769964, 0.364853, -1.104957, -0.549327, 2.275095, -0.067611, 2.519885, -0.351789]
std: [2.038996, 1.126082, 1.353759, 0.715724, 2.563427, 0.638379, 1.784443, 1.104271]
pca: [[0.524507, -0.041258, 0.185911, -0.131718, 0.790970, -0.171517, -0.083474, -0.096218, 0.000000, 0.000000], [0.163762, -0.421376, -0.508751, 0.301358, 0.007061, 0.289720, -0.295859, -0.523889, 0.000000, 0.000000], [0.227048, -0.415739, 0.630450, 0.248877, -0.368359, -0.297637, 0.096119, -0.287556, 0.000000, 0.000000], [0.092467, -0.186585, 0.368870, -0.499831, -0.097319, 0.728398, -0.172274, 0.032042, 0.000000, 0.000000], [0.666251, 0.043674, -0.141395, 0.340196, -0.230610, 0.193770, 0.075626, 0.567476, 0.000000, 0.000000], [-0.125659, 0.161040, 0.164433, 0.412529, 0.265629, 0.458078, 0.661420, -0.207813, 0.000000, 0.000000], [0.357123, 0.714347, 0.009454, -0.131055, -0.290956, 0.008663, -0.074388, -0.504622, 0.000000, 0.000000], [-0.225293, 0.273778, 0.354903, 0.526283, 0.144088, 0.141550, -0.646415, 0.112732, 0.000000, 0.000000]]
fourier: [[33.503473, 34.879172, 36.603403, 42.040218, 159.296754], [16.312969, 17.217362, 19.964086, 20.321854, 32.836806], [21.763642, 21.835288, 23.096311, 28.534713, 99.446160], [12.864195, 12.992827, 13.711915, 13.774832, 49.439398], [41.099629, 41.654161, 45.550393, 50.888172, 204.758582], [8.684587, 9.348113, 9.699392, 12.347376, 12.532430], [31.224577, 33.542982, 34.179486, 36.422770, 226.789635], [15.999179, 17.947448, 20.510902, 21.940163, 31.660987]]
### 4
mean: [-0.506333, 2.616924, -1.444736, 0.664337, -2.982208, 1.766045, -1.283922, 0.989294]
std: [0.323179, 2.504842, 1.079598, 0.463838, 2.869435, 1.657118, 1.399429, 0.964333]
pca: [[-0.002926, 0.063828, -0.468970, 0.291197, -0.409669, 0.011569, 0.694390, -0.202607, 0.000000, 0.000000], [-0.555989, 0.104015, -0.125155, 0.216353, -0.022284, 0.753315, -0.220976, -0.027826, 0.000000, 0.000000], [0.186870, 0.591335, 0.581094, 0.483081, 0.085985, 0.060645, 0.160927, -0.086000, 0.000000, 0.000000], [-0.034512, -0.316485, 0.513702, -0.178157, -0.482239, 0.245559, 0.299076, 0.469805, 0.000000, 0.000000], [0.632617, 0.344132, -0.342888, -0.108889, -0.221128, 0.329314, -0.243500, 0.367835, 0.000000, 0.000000], [-0.364198, 0.181371, -0.144294, 0.379352, -0.245526, -0.486407, -0.248783, 0.557645, 0.000000, 0.000000], [0.284959, -0.541790, -0.084306, 0.589815, 0.411110, 0.143819, 0.067328, 0.275762, 0.000000, 0.000000], [-0.201770, 0.300679, -0.131694, -0.315661, 0.559942, 0.051790, 0.477420, 0.455794, 0.000000, 0.000000]]
fourier: [[4.589049, 4.985882, 5.509152, 6.462765, 45.570000], [40.564655, 41.440253, 47.593676, 48.011342, 235.523132], [18.038114, 21.262010, 23.126224, 23.145907, 130.026228], [7.750064, 7.758379, 7.796357, 7.849508, 59.790312], [49.214458, 49.558986, 50.259298, 50.379281, 268.398786], [25.775938, 27.144102, 31.278815, 33.580135, 158.944021], [22.280702, 25.477876, 26.244142, 26.391706, 115.552951], [14.657813, 17.249256, 18.769409, 18.901465, 89.036416]]
### 6
mean: [-2.691433, -1.693542, 1.137627, -0.194763, 1.524981, -1.788482, -1.024984, 1.209310]
std: [3.053721, 2.465818, 1.146691, 1.100708, 1.373431, 2.245396, 0.503039, 1.140842]
pca: [[0.595312, -0.223261, 0.382769, -0.177034, -0.019490, 0.239605, 0.582059, 0.146018, 0.000000, 0.000000], [0.480758, -0.094564, 0.104755, 0.589811, -0.008373, -0.582526, -0.210865, 0.131179, 0.000000, 0.000000], [-0.223014, -0.202769, 0.279798, 0.454157, 0.515083, 0.159123, 0.192859, -0.544773, 0.000000, 0.000000], [0.213207, -0.329232, -0.491459, -0.330075, 0.677368, -0.166098, -0.050956, 0.081572, 0.000000, 0.000000], [-0.266847, 0.364573, -0.176220, 0.332886, 0.256727, -0.032430, 0.507936, 0.573631, 0.000000, 0.000000], [0.437369, 0.314226, -0.344567, 0.315394, 0.064406, 0.647689, -0.256050, -0.050609, 0.000000, 0.000000], [0.091151, 0.540706, 0.551674, -0.275922, 0.448380, -0.058837, -0.320414, 0.108073, 0.000000, 0.000000], [-0.220170, -0.517387, 0.261860, 0.138398, 0.065646, 0.355430, -0.388235, 0.561021, 0.000000, 0.000000]]
fourier: [[47.017357, 49.758631, 59.055653, 62.211336, 242.228949], [38.758609, 39.576257, 47.702419, 50.459180, 152.418812], [18.059184, 18.692545, 21.802103, 22.879247, 102.386464], [17.528696, 17.645003, 17.707195, 21.433936, 23.071045], [20.809035, 22.734288, 26.701105, 28.221244, 137.248292], [35.365604, 36.379138, 42.994541, 45.166029, 160.963382], [8.295607, 8.524678, 8.702502, 9.248314, 92.248565], [18.330342, 18.845810, 21.271357, 22.173347, 108.837900]]
### 8
mean: [0.345702, 0.131071, -0.676653, 1.033443, -1.192651, 0.746299, 0.733559, 0.166475]
std: [0.395983, 0.319050, 1.727707, 1.409678, 1.054972, 1.040031, 1.051048, 0.465478]
pca: [[-0.076759, -0.431348, 0.000318, 0.554307, 0.536265, -0.240101, -0.387914, -0.071307, 0.000000, 0.000000], [0.084726, -0.269179, 0.478880, 0.227624, 0.099863, 0.670733, 0.271332, 0.325190, 0.000000, 0.000000], [0.594453, -0.416864, 0.000179, -0.551525, 0.295541, -0.212360, 0.064934, 0.178919, 0.000000, 0.000000], [-0.484741, -0.346508, -0.282005, -0.009659, 0.085467, -0.224375, 0.703859, 0.110780, 0.000000, 0.000000], [0.356746, 0.355923, 0.383789, 0.395807, -0.004271, -0.522337, 0.397340, 0.106586, 0.000000, 0.000000], [-0.361501, -0.146941, 0.716420, -0.339628, 0.013503, -0.191222, -0.034528, -0.425653, 0.000000, 0.000000], [-0.364774, 0.179820, 0.165240, -0.184258, 0.075790, -0.212164, -0.300975, 0.794988, 0.000000, 0.000000], [-0.087011, 0.516749, -0.057363, -0.175203, 0.775792, 0.206428, 0.163130, -0.142603, 0.000000, 0.000000]]
fourier: [[5.900904, 7.194883, 8.019962, 8.404567, 31.113224], [5.023000, 5.032768, 5.068089, 5.391021, 11.796407], [26.390843, 29.632544, 32.671434, 34.125952, 60.898790], [22.182118, 22.550696, 27.260905, 28.442723, 93.009882], [16.469741, 16.612069, 20.041934, 21.222110, 107.338572], [16.106635, 17.355393, 20.366272, 20.888796, 67.166880], [15.849144, 18.053384, 20.353510, 20.851238, 66.020355], [6.832505, 6.861418, 7.207544, 7.921249, 14.982722]]
### 10
mean: [0.529301, -0.969086, 0.031450, -0.564749, 0.149283, 0.747843, -0.935241, -0.484096]
std: [0.593428, 1.268552, 0.286090, 0.435041, 1.033435, 1.073837, 1.155759, 0.531510]
pca: [[-0.254963, -0.202723, -0.352530, -0.107768, 0.359916, 0.077678, 0.181313, 0.767827, 0.000000, 0.000000], [0.575679, -0.331189, -0.315021, 0.230875, -0.355923, 0.488386, 0.192725, 0.063407, 0.000000, 0.000000], [-0.134941, -0.003772, 0.616036, 0.628865, 0.138870, 0.353514, -0.068337, 0.240577, 0.000000, 0.000000], [0.195432, -0.121421, 0.010941, 0.349174, 0.365007, -0.444963, 0.674120, -0.198397, 0.000000, 0.000000], [0.139194, 0.738003, -0.444775, 0.435061, 0.049586, -0.071039, -0.163816, 0.120550, 0.000000, 0.000000], [-0.473320, -0.330961, -0.441202, 0.323269, 0.226241, 0.206073, -0.210133, -0.479024, 0.000000, 0.000000], [0.531461, -0.272364, 0.032162, 0.000169, 0.500507, -0.197829, -0.592199, 0.044599, 0.000000, 0.000000], [0.146036, 0.325721, 0.057838, -0.352005, 0.535829, 0.588075, 0.221774, -0.251391, 0.000000, 0.000000]]
fourier: [[9.313012, 9.970597, 11.481092, 11.923585, 47.637057], [19.856740, 23.833469, 25.511165, 26.797719, 87.217755], [4.780822, 4.879726, 5.099775, 5.226099, 5.833278], [6.610160, 8.268369, 8.768702, 9.170538, 50.827429], [14.657634, 15.334520, 15.398752, 15.960206, 17.740128], [17.010483, 17.873590, 20.998726, 21.395611, 67.305844], [18.263827, 21.550340, 23.096349, 24.049676, 84.171702], [8.325551, 8.666223, 8.702282, 9.863025, 43.568620]]
### 12
mean: [-0.073044]
std: [0.564435]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.981080, 8.202997, 9.845213, 10.848529, 11.143843]]
## 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_ascending
|
## 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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],
"network.8.bias": [
-0.020214,
0.088806,
0.026159,
-0.197183,
-0.149905,
-0.189458,
0.056906,
0.451989
],
"network.10.weight": [
[
0.183804,
-0.245826,
-0.105924,
0.134523,
0.206772,
0.038985,
0.273045,
0.368605
],
[
-0.349194,
-0.006906,
-0.610935,
-0.709037,
-0.810022,
-0.341277,
0.060927,
0.195006
],
[
0.014252,
0.217578,
-0.110516,
0.22065,
0.211597,
0.177074,
-0.250877,
-0.350624
],
[
0.097889,
0.013675,
-0.302475,
-0.240463,
0.435307,
-0.122243,
-0.114339,
0.225845
],
[
0.807156,
0.474012,
0.829457,
-0.083234,
0.359865,
0.033665,
-0.309899,
0.420186
],
[
0.157555,
-0.035229,
-0.233502,
0.219738,
0.037233,
0.214122,
0.503063,
0.350234
],
[
-0.427727,
0.293048,
-0.635995,
-0.373073,
-0.157775,
-0.418869,
-0.265791,
0.184346
],
[
0.418564,
-0.139234,
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0.033618,
0.523686,
-0.242173,
-0.25501,
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],
"network.10.bias": [
0.112067,
0.197317,
-0.048905,
-0.048566,
-0.139034,
-0.055322,
0.246024,
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],
"network.12.weight": [
[
-0.140185,
-0.17321,
0.046635,
-0.053046,
0.256265,
-0.331188,
-0.176078,
0.152539
]
],
"network.12.bias": [
0.156337
]
}
## Activation Signature
### 0
mean: [1.762111, -0.626860, 0.125567, -1.264438, 0.824246, 3.047019, 0.323624, 0.439438]
std: [1.537381, 2.498233, 2.069564, 1.449303, 2.404649, 2.464386, 1.697567, 1.661039]
pca: [[0.173284, 0.441885, 0.306001, -0.170271, 0.337689, 0.582174, 0.345105, 0.282883, 0.000000, 0.000000], [0.535255, -0.076381, -0.011570, 0.286023, 0.430669, -0.422349, 0.458225, -0.227816, 0.000000, 0.000000], [0.381577, -0.033526, 0.470322, 0.609489, -0.388225, 0.128208, -0.247938, 0.178792, 0.000000, 0.000000], [0.027529, -0.525810, -0.032470, -0.051806, 0.352765, -0.097400, -0.135315, 0.752853, 0.000000, 0.000000], [-0.493297, -0.281816, 0.185750, 0.232734, -0.270863, 0.017642, 0.710259, 0.102097, 0.000000, 0.000000], [-0.410404, 0.582132, 0.179921, 0.266566, 0.216203, -0.509371, -0.130309, 0.257057, 0.000000, 0.000000], [-0.212495, -0.307365, 0.715166, -0.181748, 0.345637, -0.019586, -0.208583, -0.390542, 0.000000, 0.000000], [-0.283176, -0.092366, -0.325017, 0.597313, 0.430991, 0.443414, -0.161844, -0.200743, 0.000000, 0.000000]]
fourier: [[23.485041, 23.600719, 24.140590, 28.263631, 158.590017], [37.576259, 39.512078, 39.680075, 43.313100, 56.417358], [30.524199, 32.392442, 32.965910, 33.241965, 39.352213], [21.719184, 22.108425, 26.981598, 27.249403, 113.799434], [38.553480, 40.531313, 44.640211, 45.486530, 74.182123], [36.928206, 39.040460, 48.194159, 50.686796, 274.231697], [27.116740, 27.714934, 29.126164, 32.079619, 35.406194], [26.511938, 29.624878, 30.356875, 38.812969, 39.549445]]
### 2
mean: [1.769964, 0.364853, -1.104957, -0.549327, 2.275095, -0.067611, 2.519885, -0.351789]
std: [2.038996, 1.126082, 1.353759, 0.715724, 2.563427, 0.638379, 1.784443, 1.104271]
pca: [[0.524507, -0.041258, 0.185911, -0.131718, 0.790970, -0.171517, -0.083474, -0.096218, 0.000000, 0.000000], [0.163762, -0.421376, -0.508751, 0.301358, 0.007061, 0.289720, -0.295859, -0.523889, 0.000000, 0.000000], [0.227048, -0.415739, 0.630450, 0.248877, -0.368359, -0.297637, 0.096119, -0.287556, 0.000000, 0.000000], [0.092467, -0.186585, 0.368870, -0.499831, -0.097319, 0.728398, -0.172274, 0.032042, 0.000000, 0.000000], [0.666251, 0.043674, -0.141395, 0.340196, -0.230610, 0.193770, 0.075626, 0.567476, 0.000000, 0.000000], [-0.125659, 0.161040, 0.164433, 0.412529, 0.265629, 0.458078, 0.661420, -0.207813, 0.000000, 0.000000], [0.357123, 0.714347, 0.009454, -0.131055, -0.290956, 0.008663, -0.074388, -0.504622, 0.000000, 0.000000], [-0.225293, 0.273778, 0.354903, 0.526283, 0.144088, 0.141550, -0.646415, 0.112732, 0.000000, 0.000000]]
fourier: [[33.503473, 34.879172, 36.603403, 42.040218, 159.296754], [16.312969, 17.217362, 19.964086, 20.321854, 32.836806], [21.763642, 21.835288, 23.096311, 28.534713, 99.446160], [12.864195, 12.992827, 13.711915, 13.774832, 49.439398], [41.099629, 41.654161, 45.550393, 50.888172, 204.758582], [8.684587, 9.348113, 9.699392, 12.347376, 12.532430], [31.224577, 33.542982, 34.179486, 36.422770, 226.789635], [15.999179, 17.947448, 20.510902, 21.940163, 31.660987]]
### 4
mean: [-0.506333, 2.616924, -1.444736, 0.664337, -2.982208, 1.766045, -1.283922, 0.989294]
std: [0.323179, 2.504842, 1.079598, 0.463838, 2.869435, 1.657118, 1.399429, 0.964333]
pca: [[-0.002926, 0.063828, -0.468970, 0.291197, -0.409669, 0.011569, 0.694390, -0.202607, 0.000000, 0.000000], [-0.555989, 0.104015, -0.125155, 0.216353, -0.022284, 0.753315, -0.220976, -0.027826, 0.000000, 0.000000], [0.186870, 0.591335, 0.581094, 0.483081, 0.085985, 0.060645, 0.160927, -0.086000, 0.000000, 0.000000], [-0.034512, -0.316485, 0.513702, -0.178157, -0.482239, 0.245559, 0.299076, 0.469805, 0.000000, 0.000000], [0.632617, 0.344132, -0.342888, -0.108889, -0.221128, 0.329314, -0.243500, 0.367835, 0.000000, 0.000000], [-0.364198, 0.181371, -0.144294, 0.379352, -0.245526, -0.486407, -0.248783, 0.557645, 0.000000, 0.000000], [0.284959, -0.541790, -0.084306, 0.589815, 0.411110, 0.143819, 0.067328, 0.275762, 0.000000, 0.000000], [-0.201770, 0.300679, -0.131694, -0.315661, 0.559942, 0.051790, 0.477420, 0.455794, 0.000000, 0.000000]]
fourier: [[4.589049, 4.985882, 5.509152, 6.462765, 45.570000], [40.564655, 41.440253, 47.593676, 48.011342, 235.523132], [18.038114, 21.262010, 23.126224, 23.145907, 130.026228], [7.750064, 7.758379, 7.796357, 7.849508, 59.790312], [49.214458, 49.558986, 50.259298, 50.379281, 268.398786], [25.775938, 27.144102, 31.278815, 33.580135, 158.944021], [22.280702, 25.477876, 26.244142, 26.391706, 115.552951], [14.657813, 17.249256, 18.769409, 18.901465, 89.036416]]
### 6
mean: [-2.691433, -1.693542, 1.137627, -0.194763, 1.524981, -1.788482, -1.024984, 1.209310]
std: [3.053721, 2.465818, 1.146691, 1.100708, 1.373431, 2.245396, 0.503039, 1.140842]
pca: [[0.595312, -0.223261, 0.382769, -0.177034, -0.019490, 0.239605, 0.582059, 0.146018, 0.000000, 0.000000], [0.480758, -0.094564, 0.104755, 0.589811, -0.008373, -0.582526, -0.210865, 0.131179, 0.000000, 0.000000], [-0.223014, -0.202769, 0.279798, 0.454157, 0.515083, 0.159123, 0.192859, -0.544773, 0.000000, 0.000000], [0.213207, -0.329232, -0.491459, -0.330075, 0.677368, -0.166098, -0.050956, 0.081572, 0.000000, 0.000000], [-0.266847, 0.364573, -0.176220, 0.332886, 0.256727, -0.032430, 0.507936, 0.573631, 0.000000, 0.000000], [0.437369, 0.314226, -0.344567, 0.315394, 0.064406, 0.647689, -0.256050, -0.050609, 0.000000, 0.000000], [0.091151, 0.540706, 0.551674, -0.275922, 0.448380, -0.058837, -0.320414, 0.108073, 0.000000, 0.000000], [-0.220170, -0.517387, 0.261860, 0.138398, 0.065646, 0.355430, -0.388235, 0.561021, 0.000000, 0.000000]]
fourier: [[47.017357, 49.758631, 59.055653, 62.211336, 242.228949], [38.758609, 39.576257, 47.702419, 50.459180, 152.418812], [18.059184, 18.692545, 21.802103, 22.879247, 102.386464], [17.528696, 17.645003, 17.707195, 21.433936, 23.071045], [20.809035, 22.734288, 26.701105, 28.221244, 137.248292], [35.365604, 36.379138, 42.994541, 45.166029, 160.963382], [8.295607, 8.524678, 8.702502, 9.248314, 92.248565], [18.330342, 18.845810, 21.271357, 22.173347, 108.837900]]
### 8
mean: [0.345702, 0.131071, -0.676653, 1.033443, -1.192651, 0.746299, 0.733559, 0.166475]
std: [0.395983, 0.319050, 1.727707, 1.409678, 1.054972, 1.040031, 1.051048, 0.465478]
pca: [[-0.076759, -0.431348, 0.000318, 0.554307, 0.536265, -0.240101, -0.387914, -0.071307, 0.000000, 0.000000], [0.084726, -0.269179, 0.478880, 0.227624, 0.099863, 0.670733, 0.271332, 0.325190, 0.000000, 0.000000], [0.594453, -0.416864, 0.000179, -0.551525, 0.295541, -0.212360, 0.064934, 0.178919, 0.000000, 0.000000], [-0.484741, -0.346508, -0.282005, -0.009659, 0.085467, -0.224375, 0.703859, 0.110780, 0.000000, 0.000000], [0.356746, 0.355923, 0.383789, 0.395807, -0.004271, -0.522337, 0.397340, 0.106586, 0.000000, 0.000000], [-0.361501, -0.146941, 0.716420, -0.339628, 0.013503, -0.191222, -0.034528, -0.425653, 0.000000, 0.000000], [-0.364774, 0.179820, 0.165240, -0.184258, 0.075790, -0.212164, -0.300975, 0.794988, 0.000000, 0.000000], [-0.087011, 0.516749, -0.057363, -0.175203, 0.775792, 0.206428, 0.163130, -0.142603, 0.000000, 0.000000]]
fourier: [[5.900904, 7.194883, 8.019962, 8.404567, 31.113224], [5.023000, 5.032768, 5.068089, 5.391021, 11.796407], [26.390843, 29.632544, 32.671434, 34.125952, 60.898790], [22.182118, 22.550696, 27.260905, 28.442723, 93.009882], [16.469741, 16.612069, 20.041934, 21.222110, 107.338572], [16.106635, 17.355393, 20.366272, 20.888796, 67.166880], [15.849144, 18.053384, 20.353510, 20.851238, 66.020355], [6.832505, 6.861418, 7.207544, 7.921249, 14.982722]]
### 10
mean: [0.529301, -0.969086, 0.031450, -0.564749, 0.149283, 0.747843, -0.935241, -0.484096]
std: [0.593428, 1.268552, 0.286090, 0.435041, 1.033435, 1.073837, 1.155759, 0.531510]
pca: [[-0.254963, -0.202723, -0.352530, -0.107768, 0.359916, 0.077678, 0.181313, 0.767827, 0.000000, 0.000000], [0.575679, -0.331189, -0.315021, 0.230875, -0.355923, 0.488386, 0.192725, 0.063407, 0.000000, 0.000000], [-0.134941, -0.003772, 0.616036, 0.628865, 0.138870, 0.353514, -0.068337, 0.240577, 0.000000, 0.000000], [0.195432, -0.121421, 0.010941, 0.349174, 0.365007, -0.444963, 0.674120, -0.198397, 0.000000, 0.000000], [0.139194, 0.738003, -0.444775, 0.435061, 0.049586, -0.071039, -0.163816, 0.120550, 0.000000, 0.000000], [-0.473320, -0.330961, -0.441202, 0.323269, 0.226241, 0.206073, -0.210133, -0.479024, 0.000000, 0.000000], [0.531461, -0.272364, 0.032162, 0.000169, 0.500507, -0.197829, -0.592199, 0.044599, 0.000000, 0.000000], [0.146036, 0.325721, 0.057838, -0.352005, 0.535829, 0.588075, 0.221774, -0.251391, 0.000000, 0.000000]]
fourier: [[9.313012, 9.970597, 11.481092, 11.923585, 47.637057], [19.856740, 23.833469, 25.511165, 26.797719, 87.217755], [4.780822, 4.879726, 5.099775, 5.226099, 5.833278], [6.610160, 8.268369, 8.768702, 9.170538, 50.827429], [14.657634, 15.334520, 15.398752, 15.960206, 17.740128], [17.010483, 17.873590, 20.998726, 21.395611, 67.305844], [18.263827, 21.550340, 23.096349, 24.049676, 84.171702], [8.325551, 8.666223, 8.702282, 9.863025, 43.568620]]
### 12
mean: [-0.073044]
std: [0.564435]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.981080, 8.202997, 9.845213, 10.848529, 11.143843]]
## 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_ascending
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.7621114253997803, "std": 1.5373811721801758, "pca": [0.173284113407135, 0.4418852925300598, 0.3060005307197571, -0.17027050256729126, 0.33768945932388306, 0.5821744203567505, 0.3451054096221924, 0.28288277983665466, 0.0, 0.0], "fourier": [23.485041251884077, 23.600719395078308, 24.140590384617745, 28.263630643714997, 158.5900173485279]}, "1": {"mean": -0.6268595457077026, "std": 2.49823260307312, "pca": [0.5352547764778137, -0.07638108730316162, -0.011570228263735771, 0.28602293133735657, 0.4306688904762268, -0.42234930396080017, 0.45822545886039734, -0.22781586647033691, 0.0, 0.0], "fourier": [37.57625854876231, 39.51207829314397, 39.68007532646003, 43.31310012492208, 56.4173581302166]}, "2": {"mean": 0.12556689977645874, "std": 2.069563865661621, "pca": [0.3815774917602539, -0.033525776118040085, 0.4703220725059509, 0.6094886660575867, -0.38822469115257263, 0.12820802628993988, -0.24793796241283417, 0.1787915825843811, 0.0, 0.0], "fourier": [30.524199165734014, 32.39244194163445, 32.96590977001624, 33.24196498478233, 39.352212609843164]}, "3": {"mean": -1.2644381523132324, "std": 1.4493032693862915, "pca": [0.027528837323188782, -0.5258104205131531, -0.032470133155584335, -0.05180596560239792, 0.3527647852897644, -0.09739996492862701, -0.13531480729579926, 0.7528529167175293, 0.0, 0.0], "fourier": [21.719183975921556, 22.108424732198618, 26.98159812252014, 27.249402682424638, 113.7994342148304]}, "4": {"mean": 0.8242458701133728, "std": 2.404648780822754, "pca": [-0.4932965636253357, -0.2818164527416229, 0.18575023114681244, 0.23273396492004395, -0.2708631455898285, 0.01764240860939026, 0.710258960723877, 0.10209709405899048, 0.0, 0.0], "fourier": [38.55347996801197, 40.53131296017285, 44.640211192315114, 45.48652953881018, 74.18212256580591]}, "5": {"mean": 3.0470187664031982, "std": 2.464385747909546, "pca": [-0.4104039669036865, 0.5821318030357361, 0.1799211949110031, 0.2665664255619049, 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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": [[-0.515021, 0.14169, 0.302665, 0.492411, -0.117386], [-0.832153, -0.803622, 0.169005, 0.333961, 0.217972], [-0.839647, -0.229661, 0.269055, -0.023277, 0.689288], [0.180283, -0.586277, 0.116197, -0.32952, -0.156022], [0.936214, 0.315044, 0.01893, -0.525729, 0.066948], [0.651281, 0.660161, 0.086659, 0.45669, -0.035182], [0.291606, -0.009046, 0.613473, -0.389868, -0.241297], [0.889734, -0.268427, -0.162782, 0.134258, 0.074429]], "network.0.bias": [0.601429, 0.535059, 0.226721, 0.235878, 0.090384, -0.083399, -0.170609, -0.218324], "network.2.weight": [[0.275382, -0.024167, -0.52512, -0.076468, 0.494965, 0.104026, 0.098321, 0.498521], [0.138053, -0.558122, -0.538924, -0.224944, -0.341956, 0.246108, 0.164153, 0.096677], [-0.337931, -0.361318, -0.43583, -0.280405, 0.293524, -0.087812, -0.173102, 0.120586], [-0.058968, 0.080608, -0.364958, -0.183222, -0.023886, -0.204035, 0.089915, 0.468821], [0.323298, -0.554313, -0.39556, -0.035783, 0.38729, 0.372086, 0.529048, 0.288828], [-0.413097, 0.439555, 0.226101, -0.010231, 0.127104, 0.134139, -0.11761, -0.596219], [0.380739, 0.112356, 0.459653, 0.31298, 0.493719, 0.153425, 0.518079, 0.184269], [-0.596109, 0.529582, 0.500322, -0.354083, 0.146501, 0.08709, -0.188065, -0.688181]], "network.2.bias": [0.315722, 0.275278, -0.045412, 0.015506, 0.05972, 0.249535, -0.148045, 0.296277], "network.4.weight": [[-0.008352, -0.221683, 0.197739, 0.302504, -0.171076, -0.117394, 0.204473, -0.354395], [0.427897, 0.137854, 0.594607, -0.179816, 0.237248, -0.434361, 0.477971, -0.372798], [-0.038995, 0.372863, 0.80341, -0.010622, -0.233268, -0.203828, -0.407428, -0.422988], [0.317254, 0.330043, -0.582548, 0.336936, -0.007902, 0.534679, -0.147008, 0.453805], [-0.513899, -0.119234, 0.074047, -0.168988, -0.68358, -0.588476, -0.166731, -0.085696], [0.152244, 0.004703, 0.521317, 0.405747, 0.236989, -0.421361, 0.266063, -0.359933], [0.07004, -0.765836, -0.290766, -0.417843, 0.015723, 0.394025, -0.515615, 0.842089], [-0.102943, 0.149381, 0.1902, -0.320317, 0.155616, -0.163999, 0.313187, -0.589421]], "network.4.bias": [-0.409986, 0.124442, 0.021929, 0.2256, 0.054235, 0.372597, 0.052293, 0.053774], "network.6.weight": [[-0.265541, -0.483625, -0.198291, 0.43599, -0.180626, -0.612392, 0.515842, -0.882683], [-0.864584, -0.472145, -0.621121, 0.419731, -0.446372, -0.439988, 0.264764, -0.561516], [-0.342588, 0.316204, -0.027065, -0.12268, 0.099288, 0.248984, -0.173604, -0.073741], [-0.575193, -0.117795, 0.414452, 0.190198, -0.490803, -0.382011, 0.487071, -0.113294], [-0.08856, 0.282745, 0.153173, -0.33189, 0.367781, 0.134779, -0.385845, 0.454113], [-0.551914, -0.295332, -0.652164, 0.14188, 0.009509, -0.772011, 0.269417, -0.192149], [-0.013267, -0.189014, 0.098379, -0.272551, 0.266607, 0.053755, -0.129976, -0.100093], [0.0689, 0.283056, -0.130135, 0.046385, -0.129868, 0.339534, 0.008241, -0.156513]], "network.6.bias": [0.121199, 0.379652, 0.000525, 0.681598, 0.357669, 0.262592, -0.355344, 0.007716], "network.8.weight": [[0.176904, 0.457122, 0.240228, -0.075689, -0.187126, -0.026609, 0.297422, 0.309134], [0.04792, 0.013378, -0.238887, 0.348503, -0.145151, 0.353435, 0.08001, 0.37307], [0.356256, 0.843974, -0.043203, 0.638309, -0.468015, 0.412815, -0.477895, -0.34124], [-0.055101, -0.195607, 0.350967, -0.171683, 0.404919, 0.097075, 0.14641, 0.308733], [0.022571, -0.007316, -0.018875, 0.02702, -0.470811, -0.023432, -0.262105, -0.325551], [-0.333194, -0.402255, 0.249942, 0.268731, 0.386428, 0.008442, 0.121743, 0.140107], [-0.372371, -0.391168, 0.118373, -0.176607, 0.412555, -0.22754, -0.191995, 0.065081], [-0.439859, -0.209477, -0.036407, -0.39281, 0.193025, -0.16533, 0.234613, -0.282968]], "network.8.bias": [-0.020214, 0.088806, 0.026159, -0.197183, -0.149905, -0.189458, 0.056906, 0.451989], "network.10.weight": [[0.183804, -0.245826, -0.105924, 0.134523, 0.206772, 0.038985, 0.273045, 0.368605], [-0.349194, -0.006906, -0.610935, -0.709037, -0.810022, -0.341277, 0.060927, 0.195006], [0.014252, 0.217578, -0.110516, 0.22065, 0.211597, 0.177074, -0.250877, -0.350624], [0.097889, 0.013675, -0.302475, -0.240463, 0.435307, -0.122243, -0.114339, 0.225845], [0.807156, 0.474012, 0.829457, -0.083234, 0.359865, 0.033665, -0.309899, 0.420186], [0.157555, -0.035229, -0.233502, 0.219738, 0.037233, 0.214122, 0.503063, 0.350234], [-0.427727, 0.293048, -0.635995, -0.373073, -0.157775, -0.418869, -0.265791, 0.184346], [0.418564, -0.139234, 0.35285, 0.033618, 0.523686, -0.242173, -0.25501, 0.078177]], "network.10.bias": [0.112067, 0.197317, -0.048905, -0.048566, -0.139034, -0.055322, 0.246024, -0.325443], "network.12.weight": [[-0.140185, -0.17321, 0.046635, -0.053046, 0.256265, -0.331188, -0.176078, 0.152539]], "network.12.bias": [0.156337]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6895803511142731, "train_acc": 0.475, "val_loss": 0.7156033515930176, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6528091430664062, "train_acc": 0.585, "val_loss": 0.5670713782310486, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 1.3983683288097382, "train_acc": 0.505, "val_loss": 0.47085681557655334, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.48831629753112793, "train_acc": 0.63, "val_loss": 0.553753137588501, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5479548871517181, "train_acc": 0.77, "val_loss": 0.47993752360343933, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.5663056373596191, "train_acc": 0.75, "val_loss": 0.5636350512504578, "val_acc": 0.66}], "summary": {"total_epochs": 6, "degraded_epochs": 2, "improved_epochs": 4, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.7156033515930176, "final_val_loss": 0.5670713782310486, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.47085681557655334, "final_val_loss": 0.5636350512504578, "initial_val_acc": 0.48, "final_val_acc": 0.66, "best_val_acc": 0.86, "best_epoch": 4}, "improvement": 0.38, "first_improvement_epoch": 1}}
|
9,496
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.54, "improved_accuracy": 0.92, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4900, "learning_rate": 0.046104711452578204, "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: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.008135,
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[
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[
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],
[
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0.446274,
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],
"network.2.bias": [
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"network.4.weight": [
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[
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[
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[
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[
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"network.8.weight": [
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"network.10.weight": [
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"network.10.bias": [
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"network.12.weight": [
[
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],
"network.12.bias": [
0.270403
]
}
## Activation Signature
### 0
mean: [-0.091011, 1.664117, 0.538698, 0.815045, 0.139606, 0.842313, 1.297558]
std: [1.147358, 1.682292, 1.047147, 1.714185, 0.650546, 1.248786, 1.168923]
pca: [[0.264816, -0.440628, -0.075099, -0.627349, -0.272958, -0.410828, 0.305329, 0.000000, 0.000000, 0.000000], [0.648099, 0.040615, 0.211635, -0.183779, -0.209845, 0.663640, -0.123697, 0.000000, 0.000000, 0.000000], [0.009244, 0.480373, 0.571378, 0.072564, -0.182615, -0.142835, 0.619409, 0.000000, 0.000000, 0.000000], [0.566908, 0.493246, -0.238764, -0.061014, 0.433346, -0.411933, -0.130825, 0.000000, 0.000000, 0.000000], [-0.025876, -0.294620, 0.201126, -0.170064, 0.805923, 0.253896, 0.359418, 0.000000, 0.000000, 0.000000], [0.363297, -0.299481, -0.359499, 0.654562, -0.082206, 0.019577, 0.462054, 0.000000, 0.000000, 0.000000], [0.236040, -0.391992, 0.629603, 0.326031, 0.063653, -0.368599, -0.384727, 0.000000, 0.000000, 0.000000]]
fourier: [[17.375398, 17.741084, 17.781283, 19.204077, 26.995330], [25.384168, 25.857060, 25.937627, 31.855024, 149.770564], [15.563126, 15.642277, 16.876996, 17.271902, 48.482852], [26.153109, 27.526829, 30.806014, 30.919542, 73.354070], [10.223160, 10.322148, 12.564531, 12.584324, 14.025841], [19.850926, 21.198921, 21.595154, 22.271853, 75.808193], [18.303441, 18.888967, 19.671548, 19.910265, 116.780249]]
### 2
mean: [1.386267, -0.983175, -0.091904, -0.277765, -1.409183, 1.328821, 1.969160]
std: [1.023581, 0.744012, 0.519081, 0.760927, 0.639058, 1.282467, 2.090495]
pca: [[0.358340, 0.061317, -0.331028, 0.558709, 0.657689, 0.025904, 0.113450, 0.000000, 0.000000, 0.000000], [-0.202966, 0.398078, 0.510628, 0.413372, -0.122487, -0.018633, 0.594451, 0.000000, 0.000000, 0.000000], [-0.165143, -0.220618, 0.017142, 0.710572, -0.393559, -0.109286, -0.502012, 0.000000, 0.000000, 0.000000], [-0.004152, 0.829368, -0.323590, -0.055070, -0.130152, -0.332093, -0.277782, 0.000000, 0.000000, 0.000000], [-0.196125, 0.295218, 0.327454, -0.009773, 0.304017, 0.683775, -0.455066, 0.000000, 0.000000, 0.000000], [0.439027, -0.012631, 0.646078, -0.082337, 0.229250, -0.485675, -0.307348, 0.000000, 0.000000, 0.000000], [0.756239, 0.118056, 0.005717, 0.046336, -0.485419, 0.416322, 0.055045, 0.000000, 0.000000, 0.000000]]
fourier: [[15.592434, 15.817619, 15.918084, 19.688891, 124.764051], [10.208844, 11.883225, 12.567309, 13.233729, 88.485768], [8.413597, 8.563639, 8.687547, 9.901407, 10.759760], [10.588084, 12.910449, 12.986391, 14.051877, 24.998892], [9.557682, 9.803242, 10.338012, 11.546090, 126.826478], [19.986483, 20.640334, 22.376099, 26.198190, 119.593939], [33.102014, 35.780114, 37.313281, 39.725503, 177.224418]]
### 4
mean: [0.027305, 2.149396, -0.107146, -0.048509, 0.704593, 0.871183, 0.014084]
std: [0.186123, 1.730481, 0.309364, 0.494105, 0.675171, 0.732135, 0.676318]
pca: [[-0.035158, 0.661132, -0.036000, -0.182282, -0.414723, 0.366489, -0.469931, 0.000000, 0.000000, 0.000000], [0.795201, 0.247333, 0.235787, -0.342247, 0.263700, -0.252057, -0.026130, 0.000000, 0.000000, 0.000000], [-0.127553, 0.522109, -0.187618, 0.083099, 0.543543, 0.337392, 0.509660, 0.000000, 0.000000, 0.000000], [-0.221043, 0.065555, 0.778477, 0.312287, 0.360762, 0.082406, -0.326118, 0.000000, 0.000000, 0.000000], [0.307767, 0.268087, 0.029979, 0.782824, -0.365167, -0.204752, 0.210776, 0.000000, 0.000000, 0.000000], [0.333958, -0.330416, 0.284035, -0.022499, -0.237749, 0.746878, 0.289421, 0.000000, 0.000000, 0.000000], [-0.308288, 0.209258, 0.469368, -0.363170, -0.378162, -0.285971, 0.533089, 0.000000, 0.000000, 0.000000]]
fourier: [[2.890534, 2.928552, 3.291388, 3.327644, 4.017288], [27.511824, 29.491608, 31.502344, 32.666226, 193.445635], [5.122063, 5.164066, 5.506042, 6.755853, 9.643098], [6.478912, 7.739004, 8.715867, 8.952279, 9.212277], [10.659061, 11.505208, 12.611815, 12.899598, 63.413355], [10.947415, 12.944087, 13.501318, 14.730562, 78.406506], [9.679715, 10.415615, 11.952591, 13.094471, 13.325853]]
### 6
mean: [1.417511, 0.283602, 1.316810, -0.367954, 0.639681, 0.830912, -0.112771]
std: [1.489872, 0.243097, 1.356176, 0.364884, 0.321083, 0.714929, 0.475336]
pca: [[0.663666, 0.178090, -0.182219, 0.485943, 0.395936, 0.063354, -0.312582, 0.000000, 0.000000, 0.000000], [0.098148, -0.440903, -0.041388, 0.490089, -0.173170, 0.398214, 0.604574, 0.000000, 0.000000, 0.000000], [0.604340, 0.033354, 0.133691, -0.334800, -0.076356, -0.490039, 0.507669, 0.000000, 0.000000, 0.000000], [-0.162092, 0.088135, 0.508019, -0.080272, 0.764498, 0.181032, 0.290176, 0.000000, 0.000000, 0.000000], [0.128932, 0.596363, -0.282099, -0.333536, -0.120299, 0.607793, 0.230255, 0.000000, 0.000000, 0.000000], [0.318215, -0.095252, 0.713085, -0.097136, -0.363768, 0.357985, -0.333556, 0.000000, 0.000000, 0.000000], [-0.201316, 0.632682, 0.317894, 0.533344, -0.275973, -0.258718, 0.174860, 0.000000, 0.000000, 0.000000]]
fourier: [[23.146268, 26.706137, 27.105703, 29.103378, 127.575959], [3.946623, 4.246070, 4.372671, 4.961835, 25.524201], [21.008986, 24.436178, 24.527701, 26.568172, 118.512957], [5.487326, 6.727786, 6.746235, 7.371780, 33.115834], [4.693666, 4.741424, 5.382602, 5.612086, 57.571284], [11.072685, 12.555886, 12.922135, 13.947133, 74.782065], [7.977313, 8.083874, 8.882961, 9.758510, 10.149429]]
### 8
mean: [0.807027, -0.172212, 1.226952, 0.982277, 1.202371, 1.183768, 0.702500]
std: [0.735899, 0.178684, 1.200963, 1.116984, 0.713742, 0.836974, 0.445965]
pca: [[0.341035, 0.254011, -0.153116, -0.192812, 0.078154, 0.457642, 0.736891, 0.000000, 0.000000, 0.000000], [-0.075785, -0.384136, -0.532914, 0.283676, 0.454406, -0.404961, 0.334286, 0.000000, 0.000000, 0.000000], [0.557579, -0.121561, -0.468401, -0.376231, -0.442834, -0.287142, -0.186621, 0.000000, 0.000000, 0.000000], [0.516202, 0.591665, 0.045669, 0.392904, 0.350605, -0.233270, -0.222869, 0.000000, 0.000000, 0.000000], [0.329157, -0.452065, -0.058744, -0.031187, 0.434335, 0.567273, -0.415239, 0.000000, 0.000000, 0.000000], [0.386896, -0.426701, 0.398245, 0.552375, -0.376862, -0.022106, 0.249011, 0.000000, 0.000000, 0.000000], [0.206303, -0.191407, 0.555898, -0.529469, 0.371092, -0.409166, 0.162223, 0.000000, 0.000000, 0.000000]]
fourier: [[11.299494, 12.818831, 13.580409, 14.459001, 72.632467], [2.594379, 2.821864, 3.420169, 3.533692, 15.499045], [18.568312, 21.058425, 21.730877, 23.242935, 110.425649], [16.989180, 19.292708, 20.830954, 22.135265, 88.404935], [10.980430, 12.386643, 12.525592, 13.532201, 108.213427], [12.832752, 14.319004, 14.987104, 16.004450, 106.539131], [6.836549, 7.532484, 8.001799, 8.413237, 63.224991]]
### 10
mean: [-1.605707, 1.560077, -0.230099, 1.441277, -0.637664, -1.101023, 1.108692]
std: [1.610558, 1.469080, 0.625388, 1.304060, 0.375451, 0.865665, 1.082800]
pca: [[0.539711, -0.306865, 0.201042, -0.320326, 0.254487, 0.257645, 0.583416, 0.000000, 0.000000, 0.000000], [-0.492309, 0.196223, -0.477815, -0.047732, 0.093710, -0.073629, 0.688723, 0.000000, 0.000000, 0.000000], [0.209566, 0.103911, -0.269711, 0.651156, -0.096333, 0.659871, 0.061859, 0.000000, 0.000000, 0.000000], [-0.437013, 0.042006, 0.700436, 0.038684, -0.404286, 0.297732, 0.251110, 0.000000, 0.000000, 0.000000], [0.125759, -0.220747, 0.232988, 0.668632, 0.055386, -0.588876, 0.290277, 0.000000, 0.000000, 0.000000], [0.289754, 0.894630, 0.248841, 0.000775, 0.181916, -0.113651, 0.088023, 0.000000, 0.000000, 0.000000], [-0.362867, -0.075344, 0.227408, 0.150143, 0.847093, 0.210790, -0.162465, 0.000000, 0.000000, 0.000000]]
fourier: [[24.609800, 27.168431, 29.553712, 30.690351, 144.513611], [22.442262, 24.778725, 26.936110, 27.996468, 140.406889], [9.539479, 10.499188, 11.434831, 11.798447, 20.708922], [19.943481, 22.007809, 23.881701, 24.691829, 129.714920], [5.692416, 6.254342, 6.983200, 7.193979, 57.389749], [13.291375, 14.794066, 15.455414, 16.199039, 99.092096], [16.566633, 18.307554, 19.746820, 20.506331, 99.782266]]
### 12
mean: [-0.637206]
std: [0.890685]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.493065, 14.616833, 16.501340, 16.776111, 57.348564]]
## 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: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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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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],
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"network.12.weight": [
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"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [-0.091011, 1.664117, 0.538698, 0.815045, 0.139606, 0.842313, 1.297558]
std: [1.147358, 1.682292, 1.047147, 1.714185, 0.650546, 1.248786, 1.168923]
pca: [[0.264816, -0.440628, -0.075099, -0.627349, -0.272958, -0.410828, 0.305329, 0.000000, 0.000000, 0.000000], [0.648099, 0.040615, 0.211635, -0.183779, -0.209845, 0.663640, -0.123697, 0.000000, 0.000000, 0.000000], [0.009244, 0.480373, 0.571378, 0.072564, -0.182615, -0.142835, 0.619409, 0.000000, 0.000000, 0.000000], [0.566908, 0.493246, -0.238764, -0.061014, 0.433346, -0.411933, -0.130825, 0.000000, 0.000000, 0.000000], [-0.025876, -0.294620, 0.201126, -0.170064, 0.805923, 0.253896, 0.359418, 0.000000, 0.000000, 0.000000], [0.363297, -0.299481, -0.359499, 0.654562, -0.082206, 0.019577, 0.462054, 0.000000, 0.000000, 0.000000], [0.236040, -0.391992, 0.629603, 0.326031, 0.063653, -0.368599, -0.384727, 0.000000, 0.000000, 0.000000]]
fourier: [[17.375398, 17.741084, 17.781283, 19.204077, 26.995330], [25.384168, 25.857060, 25.937627, 31.855024, 149.770564], [15.563126, 15.642277, 16.876996, 17.271902, 48.482852], [26.153109, 27.526829, 30.806014, 30.919542, 73.354070], [10.223160, 10.322148, 12.564531, 12.584324, 14.025841], [19.850926, 21.198921, 21.595154, 22.271853, 75.808193], [18.303441, 18.888967, 19.671548, 19.910265, 116.780249]]
### 2
mean: [1.386267, -0.983175, -0.091904, -0.277765, -1.409183, 1.328821, 1.969160]
std: [1.023581, 0.744012, 0.519081, 0.760927, 0.639058, 1.282467, 2.090495]
pca: [[0.358340, 0.061317, -0.331028, 0.558709, 0.657689, 0.025904, 0.113450, 0.000000, 0.000000, 0.000000], [-0.202966, 0.398078, 0.510628, 0.413372, -0.122487, -0.018633, 0.594451, 0.000000, 0.000000, 0.000000], [-0.165143, -0.220618, 0.017142, 0.710572, -0.393559, -0.109286, -0.502012, 0.000000, 0.000000, 0.000000], [-0.004152, 0.829368, -0.323590, -0.055070, -0.130152, -0.332093, -0.277782, 0.000000, 0.000000, 0.000000], [-0.196125, 0.295218, 0.327454, -0.009773, 0.304017, 0.683775, -0.455066, 0.000000, 0.000000, 0.000000], [0.439027, -0.012631, 0.646078, -0.082337, 0.229250, -0.485675, -0.307348, 0.000000, 0.000000, 0.000000], [0.756239, 0.118056, 0.005717, 0.046336, -0.485419, 0.416322, 0.055045, 0.000000, 0.000000, 0.000000]]
fourier: [[15.592434, 15.817619, 15.918084, 19.688891, 124.764051], [10.208844, 11.883225, 12.567309, 13.233729, 88.485768], [8.413597, 8.563639, 8.687547, 9.901407, 10.759760], [10.588084, 12.910449, 12.986391, 14.051877, 24.998892], [9.557682, 9.803242, 10.338012, 11.546090, 126.826478], [19.986483, 20.640334, 22.376099, 26.198190, 119.593939], [33.102014, 35.780114, 37.313281, 39.725503, 177.224418]]
### 4
mean: [0.027305, 2.149396, -0.107146, -0.048509, 0.704593, 0.871183, 0.014084]
std: [0.186123, 1.730481, 0.309364, 0.494105, 0.675171, 0.732135, 0.676318]
pca: [[-0.035158, 0.661132, -0.036000, -0.182282, -0.414723, 0.366489, -0.469931, 0.000000, 0.000000, 0.000000], [0.795201, 0.247333, 0.235787, -0.342247, 0.263700, -0.252057, -0.026130, 0.000000, 0.000000, 0.000000], [-0.127553, 0.522109, -0.187618, 0.083099, 0.543543, 0.337392, 0.509660, 0.000000, 0.000000, 0.000000], [-0.221043, 0.065555, 0.778477, 0.312287, 0.360762, 0.082406, -0.326118, 0.000000, 0.000000, 0.000000], [0.307767, 0.268087, 0.029979, 0.782824, -0.365167, -0.204752, 0.210776, 0.000000, 0.000000, 0.000000], [0.333958, -0.330416, 0.284035, -0.022499, -0.237749, 0.746878, 0.289421, 0.000000, 0.000000, 0.000000], [-0.308288, 0.209258, 0.469368, -0.363170, -0.378162, -0.285971, 0.533089, 0.000000, 0.000000, 0.000000]]
fourier: [[2.890534, 2.928552, 3.291388, 3.327644, 4.017288], [27.511824, 29.491608, 31.502344, 32.666226, 193.445635], [5.122063, 5.164066, 5.506042, 6.755853, 9.643098], [6.478912, 7.739004, 8.715867, 8.952279, 9.212277], [10.659061, 11.505208, 12.611815, 12.899598, 63.413355], [10.947415, 12.944087, 13.501318, 14.730562, 78.406506], [9.679715, 10.415615, 11.952591, 13.094471, 13.325853]]
### 6
mean: [1.417511, 0.283602, 1.316810, -0.367954, 0.639681, 0.830912, -0.112771]
std: [1.489872, 0.243097, 1.356176, 0.364884, 0.321083, 0.714929, 0.475336]
pca: [[0.663666, 0.178090, -0.182219, 0.485943, 0.395936, 0.063354, -0.312582, 0.000000, 0.000000, 0.000000], [0.098148, -0.440903, -0.041388, 0.490089, -0.173170, 0.398214, 0.604574, 0.000000, 0.000000, 0.000000], [0.604340, 0.033354, 0.133691, -0.334800, -0.076356, -0.490039, 0.507669, 0.000000, 0.000000, 0.000000], [-0.162092, 0.088135, 0.508019, -0.080272, 0.764498, 0.181032, 0.290176, 0.000000, 0.000000, 0.000000], [0.128932, 0.596363, -0.282099, -0.333536, -0.120299, 0.607793, 0.230255, 0.000000, 0.000000, 0.000000], [0.318215, -0.095252, 0.713085, -0.097136, -0.363768, 0.357985, -0.333556, 0.000000, 0.000000, 0.000000], [-0.201316, 0.632682, 0.317894, 0.533344, -0.275973, -0.258718, 0.174860, 0.000000, 0.000000, 0.000000]]
fourier: [[23.146268, 26.706137, 27.105703, 29.103378, 127.575959], [3.946623, 4.246070, 4.372671, 4.961835, 25.524201], [21.008986, 24.436178, 24.527701, 26.568172, 118.512957], [5.487326, 6.727786, 6.746235, 7.371780, 33.115834], [4.693666, 4.741424, 5.382602, 5.612086, 57.571284], [11.072685, 12.555886, 12.922135, 13.947133, 74.782065], [7.977313, 8.083874, 8.882961, 9.758510, 10.149429]]
### 8
mean: [0.807027, -0.172212, 1.226952, 0.982277, 1.202371, 1.183768, 0.702500]
std: [0.735899, 0.178684, 1.200963, 1.116984, 0.713742, 0.836974, 0.445965]
pca: [[0.341035, 0.254011, -0.153116, -0.192812, 0.078154, 0.457642, 0.736891, 0.000000, 0.000000, 0.000000], [-0.075785, -0.384136, -0.532914, 0.283676, 0.454406, -0.404961, 0.334286, 0.000000, 0.000000, 0.000000], [0.557579, -0.121561, -0.468401, -0.376231, -0.442834, -0.287142, -0.186621, 0.000000, 0.000000, 0.000000], [0.516202, 0.591665, 0.045669, 0.392904, 0.350605, -0.233270, -0.222869, 0.000000, 0.000000, 0.000000], [0.329157, -0.452065, -0.058744, -0.031187, 0.434335, 0.567273, -0.415239, 0.000000, 0.000000, 0.000000], [0.386896, -0.426701, 0.398245, 0.552375, -0.376862, -0.022106, 0.249011, 0.000000, 0.000000, 0.000000], [0.206303, -0.191407, 0.555898, -0.529469, 0.371092, -0.409166, 0.162223, 0.000000, 0.000000, 0.000000]]
fourier: [[11.299494, 12.818831, 13.580409, 14.459001, 72.632467], [2.594379, 2.821864, 3.420169, 3.533692, 15.499045], [18.568312, 21.058425, 21.730877, 23.242935, 110.425649], [16.989180, 19.292708, 20.830954, 22.135265, 88.404935], [10.980430, 12.386643, 12.525592, 13.532201, 108.213427], [12.832752, 14.319004, 14.987104, 16.004450, 106.539131], [6.836549, 7.532484, 8.001799, 8.413237, 63.224991]]
### 10
mean: [-1.605707, 1.560077, -0.230099, 1.441277, -0.637664, -1.101023, 1.108692]
std: [1.610558, 1.469080, 0.625388, 1.304060, 0.375451, 0.865665, 1.082800]
pca: [[0.539711, -0.306865, 0.201042, -0.320326, 0.254487, 0.257645, 0.583416, 0.000000, 0.000000, 0.000000], [-0.492309, 0.196223, -0.477815, -0.047732, 0.093710, -0.073629, 0.688723, 0.000000, 0.000000, 0.000000], [0.209566, 0.103911, -0.269711, 0.651156, -0.096333, 0.659871, 0.061859, 0.000000, 0.000000, 0.000000], [-0.437013, 0.042006, 0.700436, 0.038684, -0.404286, 0.297732, 0.251110, 0.000000, 0.000000, 0.000000], [0.125759, -0.220747, 0.232988, 0.668632, 0.055386, -0.588876, 0.290277, 0.000000, 0.000000, 0.000000], [0.289754, 0.894630, 0.248841, 0.000775, 0.181916, -0.113651, 0.088023, 0.000000, 0.000000, 0.000000], [-0.362867, -0.075344, 0.227408, 0.150143, 0.847093, 0.210790, -0.162465, 0.000000, 0.000000, 0.000000]]
fourier: [[24.609800, 27.168431, 29.553712, 30.690351, 144.513611], [22.442262, 24.778725, 26.936110, 27.996468, 140.406889], [9.539479, 10.499188, 11.434831, 11.798447, 20.708922], [19.943481, 22.007809, 23.881701, 24.691829, 129.714920], [5.692416, 6.254342, 6.983200, 7.193979, 57.389749], [13.291375, 14.794066, 15.455414, 16.199039, 99.092096], [16.566633, 18.307554, 19.746820, 20.506331, 99.782266]]
### 12
mean: [-0.637206]
std: [0.890685]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.493065, 14.616833, 16.501340, 16.776111, 57.348564]]
## 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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"integer_indices"}}
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.554072, 0.408367, 0.146436, 0.008135, -0.078321], [-0.526662, 0.213645, 0.054157, 0.468233, 0.411855], [0.420624, -0.125911, -0.24984, 0.317589, 0.139785], [-0.34682, -0.111999, -0.266196, 0.389225, 0.650965], [-0.081304, -0.009487, 0.167691, 0.080187, -0.331597], [-0.532169, 0.013083, 0.435905, 0.018603, 0.278259], [-0.190341, 0.097619, 0.467258, 0.332127, -0.166478]], "network.0.bias": [-0.372372, 0.305029, -0.086873, 0.369255, 0.144795, 0.187092, -0.126412], "network.2.weight": [[0.625109, 0.092607, 0.153638, 0.293351, -0.057292, 0.379235, 0.13523], [-0.054224, -0.220968, -0.298793, 0.017197, -0.021064, 0.089984, -0.410228], [-0.01848, -0.075368, 0.207407, -0.228609, -0.577368, -0.154063, 0.047159], [0.382379, 0.072452, -0.592131, -0.134371, 0.167675, 0.312724, -0.319355], [-0.048457, -0.326385, -0.260098, 0.105375, 0.161689, 0.009871, -0.215598], [-0.023349, 0.238486, 0.039691, 0.603527, 0.483902, 0.347757, -0.183371], [0.514481, 0.507238, -0.121268, 0.684206, -0.067412, 0.446274, 0.175086]], "network.2.bias": [0.146339, 0.015837, 0.35321, 0.077355, -0.558888, 0.094122, -0.276686], "network.4.weight": [[0.063655, -0.348225, 0.444609, -0.411155, 0.025578, 0.093906, -0.080308], [0.365927, -0.055816, -0.48532, -0.043601, 0.057377, 0.430495, 0.360098], [0.146824, -0.028694, 0.279238, -0.409084, -0.573438, 0.109738, -0.2325], [0.260728, -0.232969, 0.636933, 0.091221, -0.541283, -0.026428, -0.282556], [0.014592, 0.393054, 0.110933, 0.228211, -0.034244, 0.306146, 0.13909], [-0.00425, -0.088104, -0.297365, 0.339839, -0.05839, 0.04264, 0.301921], [0.087839, -0.422815, 0.62827, -0.223484, -0.149513, -0.190628, -0.192769]], "network.4.bias": [-0.044229, 0.451476, -0.029901, 0.08488, 0.043425, 0.205024, 0.441997], "network.6.weight": [[-0.323605, 0.488972, -0.215257, -0.307344, 0.279257, 0.304305, -0.463166], [-0.346618, 0.056131, -0.050159, -0.036204, 0.066638, -0.130177, -0.508997], [0.222475, 0.372759, -0.415048, -0.612966, 0.170428, 0.442149, -0.423314], [-0.093722, 0.032013, 0.206814, -0.058278, -0.185341, -0.24975, 0.408787], [0.147056, 0.101696, 0.169005, 0.135253, 0.016774, 0.328879, 0.30378], [0.18462, 0.275159, 0.118774, -0.367394, -0.047219, 0.139432, -0.399331], [0.36647, -0.034639, 0.27697, 0.625658, -0.073752, -0.087302, 0.400197]], "network.6.bias": [0.092541, 0.319449, 0.188167, -0.184086, 0.103318, 0.261077, -0.037902], "network.8.weight": [[0.193732, -0.016924, 0.129711, -0.275388, -0.062529, 0.321977, -0.327457], [0.253871, 0.402972, -0.371458, 0.133677, 0.473951, -0.28855, 0.16936], [0.513906, -0.158394, 0.133656, -0.025326, 0.208541, 0.237307, -0.401814], [0.110707, 0.350099, 0.485052, -0.368372, -0.207782, 0.290565, -0.506101], [0.392875, 0.070446, -0.016848, -0.350685, 0.38513, 0.063771, 0.161684], [0.527504, -0.259923, 0.180435, -0.1156, 0.013785, -0.168336, 0.132689], [-0.19254, 0.196469, 0.345387, -0.126188, 0.116134, 0.3436, 0.221434]], "network.8.bias": [0.144077, -0.13723, 0.087638, -0.006263, 0.381558, 0.357097, 0.154058], "network.10.weight": [[-0.417598, 0.205733, -0.365059, -0.437728, -0.351228, -0.261134, 0.203757], [0.412305, -0.185662, 0.138353, 0.431267, 0.44801, 0.365549, -0.256109], [-0.078867, -0.291357, -0.277572, -0.214659, 0.114582, -0.002122, -0.258385], [0.395873, 0.140871, 0.509056, 0.269532, -0.253116, 0.186674, 0.376773], [-0.386494, -0.2736, 0.145048, -0.221175, -0.075871, -0.14937, 0.291331], [-0.208636, -0.302187, -0.202733, 0.004065, -0.370963, -0.044172, -0.391271], [0.033319, -0.187449, 0.312274, 0.323564, 0.279656, -0.048974, 0.373626]], "network.10.bias": [0.114976, -0.069405, 0.372357, 0.156251, -0.251051, -0.060426, -0.07574], "network.12.weight": [[0.045379, -0.214214, 0.083918, -0.2264, 0.293333, -0.05569, -0.230652]], "network.12.bias": [0.270403]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7176762521266937, "train_acc": 0.435, "val_loss": 0.677111029624939, "val_acc": 0.86}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6532428562641144, "train_acc": 0.735, "val_loss": 0.6084471940994263, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6346233487129211, "train_acc": 0.49, "val_loss": 0.6025163531303406, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5651447176933289, "train_acc": 0.895, "val_loss": 0.4051334857940674, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.398405984044075, "train_acc": 0.91, "val_loss": 0.3145558536052704, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.33284464478492737, "train_acc": 0.925, "val_loss": 0.3271508514881134, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.2917352020740509, "train_acc": 0.93, "val_loss": 0.3116947412490845, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.27069205045700073, "train_acc": 0.93, "val_loss": 0.2681206464767456, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.22632313519716263, "train_acc": 0.94, "val_loss": 0.26195159554481506, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.19672858715057373, "train_acc": 0.945, "val_loss": 0.3643219769001007, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.5875924304127693, "train_acc": 0.895, "val_loss": 0.30670857429504395, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.21474170684814453, "train_acc": 0.935, "val_loss": 0.3143330514431, "val_acc": 0.9}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.677111029624939, "final_val_loss": 0.6084471940994263, "initial_val_acc": 0.86, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.6025163531303406, "final_val_loss": 0.3143330514431, "initial_val_acc": 0.86, "final_val_acc": 0.9, "best_val_acc": 0.92, "best_epoch": 3}, "improvement": 0.38, "first_improvement_epoch": 1}}
|
9,497
|
{"target_pattern": "alternating", "degraded_accuracy": 0.6, "improved_accuracy": 0.98, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6471, "learning_rate": 0.09912214623543626, "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: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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],
[
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[
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}
## Activation Signature
### 0
mean: [-2.253250, -1.762664, -3.115242, 1.014682, -1.959786, -2.937748]
std: [2.809345, 3.380696, 1.840352, 1.566058, 3.632729, 2.510118]
pca: [[0.521687, 0.192144, -0.109671, -0.562233, -0.545856, -0.254618, 0.000000, 0.000000, 0.000000, 0.000000], [-0.401337, 0.699646, -0.168410, 0.361831, -0.364498, -0.239336, 0.000000, 0.000000, 0.000000, 0.000000], [0.072401, 0.470918, -0.015211, -0.326203, 0.737365, -0.350211, 0.000000, 0.000000, 0.000000, 0.000000], [0.014432, -0.126411, 0.796853, 0.162931, -0.097771, -0.559224, 0.000000, 0.000000, 0.000000, 0.000000], [0.697261, 0.021936, -0.233956, 0.647361, 0.126057, -0.153763, 0.000000, 0.000000, 0.000000, 0.000000], [0.274130, 0.485130, 0.519296, 0.030686, -0.005071, 0.647198, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[49.755263, 50.507545, 57.314051, 57.491580, 202.792549], [53.395777, 55.013831, 55.604705, 56.977369, 158.639742], [30.636457, 30.791628, 32.970102, 34.515936, 280.371785], [23.487173, 25.631359, 27.422988, 28.618481, 91.321361], [67.824022, 68.950526, 70.446208, 75.724363, 176.380704], [40.071725, 45.698491, 49.093615, 50.762136, 264.397291]]
### 2
mean: [-0.625637, -0.787179, 0.159174, -0.485225, 0.613789, -0.383781]
std: [1.223105, 1.872459, 1.780292, 0.286659, 0.755217, 0.184100]
pca: [[0.112191, -0.620734, -0.331779, 0.402053, -0.055560, 0.572094, 0.000000, 0.000000, 0.000000, 0.000000], [0.642429, 0.625759, -0.218570, 0.137371, -0.177300, 0.312461, 0.000000, 0.000000, 0.000000, 0.000000], [0.698327, -0.446752, -0.071313, -0.228908, -0.025178, -0.504613, 0.000000, 0.000000, 0.000000, 0.000000], [0.005272, 0.100968, -0.478065, -0.108063, 0.865724, -0.008709, 0.000000, 0.000000, 0.000000, 0.000000], [0.294263, -0.077073, 0.775782, 0.031504, 0.442842, 0.329439, 0.000000, 0.000000, 0.000000, 0.000000], [0.020487, 0.085982, 0.081735, 0.868570, 0.138770, -0.460257, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.685177, 18.687140, 22.405488, 24.559046, 56.307321], [30.428434, 31.718977, 40.615069, 45.730160, 70.846131], [23.670665, 25.433817, 25.523798, 25.902774, 26.260192], [4.808732, 4.935778, 5.922731, 6.150014, 43.670293], [9.458306, 9.727337, 10.400129, 10.805476, 55.240983], [3.112481, 3.307946, 3.309075, 3.494780, 34.540314]]
### 4
mean: [-0.625402, -1.050315, 1.013999, -1.056144, 0.437851, -1.073708]
std: [1.032847, 1.428120, 2.225045, 0.987045, 0.447514, 1.152375]
pca: [[-0.297275, 0.569696, -0.299562, 0.051742, 0.671664, 0.208628, 0.000000, 0.000000, 0.000000, 0.000000], [-0.445455, 0.323521, -0.278308, 0.502333, -0.575948, -0.188131, 0.000000, 0.000000, 0.000000, 0.000000], [0.704643, 0.036015, -0.184094, 0.669442, 0.139407, 0.026531, 0.000000, 0.000000, 0.000000, 0.000000], [-0.285113, -0.536257, -0.201889, 0.245927, -0.006431, 0.727914, 0.000000, 0.000000, 0.000000, 0.000000], [-0.122368, 0.239259, 0.864848, 0.338772, 0.023647, 0.253955, 0.000000, 0.000000, 0.000000, 0.000000], [-0.347005, -0.473991, 0.100969, 0.348691, 0.443977, -0.570986, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.010107, 16.161090, 16.836991, 16.937168, 56.286155], [20.521813, 21.175941, 21.674125, 22.186383, 94.528378], [30.930799, 31.052288, 32.687168, 36.399833, 91.259862], [13.579732, 13.879481, 14.527432, 14.547954, 95.052929], [6.943599, 7.087282, 7.581410, 8.102995, 39.406567], [15.140332, 15.219336, 16.810600, 18.203463, 96.633735]]
### 6
mean: [-0.861591, -0.241210, 0.461849, -0.758128, 0.931586, 0.899113]
std: [1.421209, 0.096468, 0.504213, 0.723597, 1.634595, 2.239006]
pca: [[-0.438816, -0.391323, 0.239123, -0.107498, 0.578443, -0.500973, 0.000000, 0.000000, 0.000000, 0.000000], [-0.024210, -0.498667, 0.513245, 0.471486, -0.513384, -0.038236, 0.000000, 0.000000, 0.000000, 0.000000], [-0.154287, 0.613055, 0.087754, 0.704874, 0.166317, -0.261056, 0.000000, 0.000000, 0.000000, 0.000000], [-0.223310, -0.282715, -0.179593, 0.389414, 0.409599, 0.720095, 0.000000, 0.000000, 0.000000, 0.000000], [0.504912, 0.163906, 0.702656, -0.122185, 0.389300, 0.240811, 0.000000, 0.000000, 0.000000, 0.000000], [0.691553, -0.339954, -0.381733, 0.320508, 0.234208, -0.320760, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.610479, 19.795954, 21.587459, 23.573029, 77.543216], [1.377382, 1.449114, 1.773852, 2.165135, 21.708861], [6.767048, 6.948139, 7.495161, 8.444382, 41.566428], [10.007398, 10.277565, 11.009191, 11.984320, 68.231524], [22.355906, 22.441941, 24.835922, 27.183610, 83.842707], [30.431155, 30.543146, 33.883155, 37.325399, 80.920168]]
### 8
mean: [0.987733, -0.467800, -0.682575, 1.093077, -0.465185, -0.376014]
std: [2.484738, 0.690426, 0.384615, 2.988066, 0.265415, 0.068253]
pca: [[0.625250, -0.173023, -0.159560, 0.736750, -0.054651, -0.088761, 0.000000, 0.000000, 0.000000, 0.000000], [-0.173425, -0.377728, 0.598168, 0.189807, -0.553870, 0.355867, 0.000000, 0.000000, 0.000000, 0.000000], [-0.095058, 0.750680, 0.166044, 0.213828, -0.466770, -0.369157, 0.000000, 0.000000, 0.000000, 0.000000], [0.751909, 0.156451, 0.352915, -0.520628, -0.083405, 0.087158, 0.000000, 0.000000, 0.000000, 0.000000], [-0.066534, -0.037199, 0.675740, 0.190816, 0.590422, -0.390584, 0.000000, 0.000000, 0.000000, 0.000000], [-0.012461, 0.487856, 0.089400, 0.260742, 0.341778, 0.754354, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[33.364083, 34.019400, 38.367119, 41.191100, 88.895971], [9.255921, 9.435146, 10.368696, 11.299473, 42.101997], [5.817045, 5.989373, 6.351132, 6.509868, 61.431729], [39.770556, 40.902535, 46.252668, 49.410612, 98.376925], [3.627620, 3.757347, 3.844818, 4.375746, 41.866636], [1.015847, 1.170295, 1.190194, 1.548822, 33.841285]]
### 10
mean: [1.637315, -0.455334, 0.454305, 0.835957, 1.705449, -1.136058]
std: [3.533867, 0.439693, 0.845704, 0.139790, 3.370826, 2.818374]
pca: [[0.617776, -0.370534, 0.668161, -0.024770, -0.045947, -0.178589, 0.000000, 0.000000, 0.000000, 0.000000], [-0.076864, -0.221838, -0.094036, 0.871623, 0.244632, -0.341271, 0.000000, 0.000000, 0.000000, 0.000000], [-0.147843, -0.014855, 0.217698, -0.207578, 0.934060, 0.122362, 0.000000, 0.000000, 0.000000, 0.000000], [-0.024397, 0.643020, 0.499470, 0.398848, -0.075682, 0.414310, 0.000000, 0.000000, 0.000000, 0.000000], [0.589274, -0.134204, -0.435013, 0.174410, 0.149176, 0.626767, 0.000000, 0.000000, 0.000000, 0.000000], [-0.492695, -0.617889, 0.242115, 0.084098, -0.193893, 0.521707, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[48.933651, 50.349378, 55.851349, 59.133506, 147.358370], [6.113222, 6.218550, 6.927062, 7.367904, 40.980051], [11.720273, 12.031283, 13.357390, 14.155598, 40.887452], [1.908826, 2.100606, 2.259140, 2.309936, 75.236162], [46.692180, 47.996645, 53.260332, 56.412125, 153.490413], [39.115424, 39.990040, 44.464138, 47.198430, 102.245215]]
### 12
mean: [-0.053576]
std: [3.899815]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[51.388708, 53.619379, 54.104424, 60.967680, 64.258988]]
## 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: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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],
[
0.303591,
-0.008394,
-0.10758,
-0.30509,
0.150512,
0.108207
],
[
0.485781,
-0.238204,
-0.290859,
0.786628,
0.040574,
0.038697
],
[
-0.809147,
-0.16366,
0.000521,
-0.318437,
-0.102068,
0.262157
]
],
"network.10.bias": [
-0.142012,
-0.23292,
0.880527,
0.903733,
0.007545,
0.286707
],
"network.12.weight": [
[
0.510545,
-0.115442,
-0.668418,
-0.956909,
0.512622,
-0.654413
]
],
"network.12.bias": [
-0.458168
]
}
## Activation Signature
### 0
mean: [-2.253250, -1.762664, -3.115242, 1.014682, -1.959786, -2.937748]
std: [2.809345, 3.380696, 1.840352, 1.566058, 3.632729, 2.510118]
pca: [[0.521687, 0.192144, -0.109671, -0.562233, -0.545856, -0.254618, 0.000000, 0.000000, 0.000000, 0.000000], [-0.401337, 0.699646, -0.168410, 0.361831, -0.364498, -0.239336, 0.000000, 0.000000, 0.000000, 0.000000], [0.072401, 0.470918, -0.015211, -0.326203, 0.737365, -0.350211, 0.000000, 0.000000, 0.000000, 0.000000], [0.014432, -0.126411, 0.796853, 0.162931, -0.097771, -0.559224, 0.000000, 0.000000, 0.000000, 0.000000], [0.697261, 0.021936, -0.233956, 0.647361, 0.126057, -0.153763, 0.000000, 0.000000, 0.000000, 0.000000], [0.274130, 0.485130, 0.519296, 0.030686, -0.005071, 0.647198, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[49.755263, 50.507545, 57.314051, 57.491580, 202.792549], [53.395777, 55.013831, 55.604705, 56.977369, 158.639742], [30.636457, 30.791628, 32.970102, 34.515936, 280.371785], [23.487173, 25.631359, 27.422988, 28.618481, 91.321361], [67.824022, 68.950526, 70.446208, 75.724363, 176.380704], [40.071725, 45.698491, 49.093615, 50.762136, 264.397291]]
### 2
mean: [-0.625637, -0.787179, 0.159174, -0.485225, 0.613789, -0.383781]
std: [1.223105, 1.872459, 1.780292, 0.286659, 0.755217, 0.184100]
pca: [[0.112191, -0.620734, -0.331779, 0.402053, -0.055560, 0.572094, 0.000000, 0.000000, 0.000000, 0.000000], [0.642429, 0.625759, -0.218570, 0.137371, -0.177300, 0.312461, 0.000000, 0.000000, 0.000000, 0.000000], [0.698327, -0.446752, -0.071313, -0.228908, -0.025178, -0.504613, 0.000000, 0.000000, 0.000000, 0.000000], [0.005272, 0.100968, -0.478065, -0.108063, 0.865724, -0.008709, 0.000000, 0.000000, 0.000000, 0.000000], [0.294263, -0.077073, 0.775782, 0.031504, 0.442842, 0.329439, 0.000000, 0.000000, 0.000000, 0.000000], [0.020487, 0.085982, 0.081735, 0.868570, 0.138770, -0.460257, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.685177, 18.687140, 22.405488, 24.559046, 56.307321], [30.428434, 31.718977, 40.615069, 45.730160, 70.846131], [23.670665, 25.433817, 25.523798, 25.902774, 26.260192], [4.808732, 4.935778, 5.922731, 6.150014, 43.670293], [9.458306, 9.727337, 10.400129, 10.805476, 55.240983], [3.112481, 3.307946, 3.309075, 3.494780, 34.540314]]
### 4
mean: [-0.625402, -1.050315, 1.013999, -1.056144, 0.437851, -1.073708]
std: [1.032847, 1.428120, 2.225045, 0.987045, 0.447514, 1.152375]
pca: [[-0.297275, 0.569696, -0.299562, 0.051742, 0.671664, 0.208628, 0.000000, 0.000000, 0.000000, 0.000000], [-0.445455, 0.323521, -0.278308, 0.502333, -0.575948, -0.188131, 0.000000, 0.000000, 0.000000, 0.000000], [0.704643, 0.036015, -0.184094, 0.669442, 0.139407, 0.026531, 0.000000, 0.000000, 0.000000, 0.000000], [-0.285113, -0.536257, -0.201889, 0.245927, -0.006431, 0.727914, 0.000000, 0.000000, 0.000000, 0.000000], [-0.122368, 0.239259, 0.864848, 0.338772, 0.023647, 0.253955, 0.000000, 0.000000, 0.000000, 0.000000], [-0.347005, -0.473991, 0.100969, 0.348691, 0.443977, -0.570986, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.010107, 16.161090, 16.836991, 16.937168, 56.286155], [20.521813, 21.175941, 21.674125, 22.186383, 94.528378], [30.930799, 31.052288, 32.687168, 36.399833, 91.259862], [13.579732, 13.879481, 14.527432, 14.547954, 95.052929], [6.943599, 7.087282, 7.581410, 8.102995, 39.406567], [15.140332, 15.219336, 16.810600, 18.203463, 96.633735]]
### 6
mean: [-0.861591, -0.241210, 0.461849, -0.758128, 0.931586, 0.899113]
std: [1.421209, 0.096468, 0.504213, 0.723597, 1.634595, 2.239006]
pca: [[-0.438816, -0.391323, 0.239123, -0.107498, 0.578443, -0.500973, 0.000000, 0.000000, 0.000000, 0.000000], [-0.024210, -0.498667, 0.513245, 0.471486, -0.513384, -0.038236, 0.000000, 0.000000, 0.000000, 0.000000], [-0.154287, 0.613055, 0.087754, 0.704874, 0.166317, -0.261056, 0.000000, 0.000000, 0.000000, 0.000000], [-0.223310, -0.282715, -0.179593, 0.389414, 0.409599, 0.720095, 0.000000, 0.000000, 0.000000, 0.000000], [0.504912, 0.163906, 0.702656, -0.122185, 0.389300, 0.240811, 0.000000, 0.000000, 0.000000, 0.000000], [0.691553, -0.339954, -0.381733, 0.320508, 0.234208, -0.320760, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.610479, 19.795954, 21.587459, 23.573029, 77.543216], [1.377382, 1.449114, 1.773852, 2.165135, 21.708861], [6.767048, 6.948139, 7.495161, 8.444382, 41.566428], [10.007398, 10.277565, 11.009191, 11.984320, 68.231524], [22.355906, 22.441941, 24.835922, 27.183610, 83.842707], [30.431155, 30.543146, 33.883155, 37.325399, 80.920168]]
### 8
mean: [0.987733, -0.467800, -0.682575, 1.093077, -0.465185, -0.376014]
std: [2.484738, 0.690426, 0.384615, 2.988066, 0.265415, 0.068253]
pca: [[0.625250, -0.173023, -0.159560, 0.736750, -0.054651, -0.088761, 0.000000, 0.000000, 0.000000, 0.000000], [-0.173425, -0.377728, 0.598168, 0.189807, -0.553870, 0.355867, 0.000000, 0.000000, 0.000000, 0.000000], [-0.095058, 0.750680, 0.166044, 0.213828, -0.466770, -0.369157, 0.000000, 0.000000, 0.000000, 0.000000], [0.751909, 0.156451, 0.352915, -0.520628, -0.083405, 0.087158, 0.000000, 0.000000, 0.000000, 0.000000], [-0.066534, -0.037199, 0.675740, 0.190816, 0.590422, -0.390584, 0.000000, 0.000000, 0.000000, 0.000000], [-0.012461, 0.487856, 0.089400, 0.260742, 0.341778, 0.754354, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[33.364083, 34.019400, 38.367119, 41.191100, 88.895971], [9.255921, 9.435146, 10.368696, 11.299473, 42.101997], [5.817045, 5.989373, 6.351132, 6.509868, 61.431729], [39.770556, 40.902535, 46.252668, 49.410612, 98.376925], [3.627620, 3.757347, 3.844818, 4.375746, 41.866636], [1.015847, 1.170295, 1.190194, 1.548822, 33.841285]]
### 10
mean: [1.637315, -0.455334, 0.454305, 0.835957, 1.705449, -1.136058]
std: [3.533867, 0.439693, 0.845704, 0.139790, 3.370826, 2.818374]
pca: [[0.617776, -0.370534, 0.668161, -0.024770, -0.045947, -0.178589, 0.000000, 0.000000, 0.000000, 0.000000], [-0.076864, -0.221838, -0.094036, 0.871623, 0.244632, -0.341271, 0.000000, 0.000000, 0.000000, 0.000000], [-0.147843, -0.014855, 0.217698, -0.207578, 0.934060, 0.122362, 0.000000, 0.000000, 0.000000, 0.000000], [-0.024397, 0.643020, 0.499470, 0.398848, -0.075682, 0.414310, 0.000000, 0.000000, 0.000000, 0.000000], [0.589274, -0.134204, -0.435013, 0.174410, 0.149176, 0.626767, 0.000000, 0.000000, 0.000000, 0.000000], [-0.492695, -0.617889, 0.242115, 0.084098, -0.193893, 0.521707, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[48.933651, 50.349378, 55.851349, 59.133506, 147.358370], [6.113222, 6.218550, 6.927062, 7.367904, 40.980051], [11.720273, 12.031283, 13.357390, 14.155598, 40.887452], [1.908826, 2.100606, 2.259140, 2.309936, 75.236162], [46.692180, 47.996645, 53.260332, 56.412125, 153.490413], [39.115424, 39.990040, 44.464138, 47.198430, 102.245215]]
### 12
mean: [-0.053576]
std: [3.899815]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[51.388708, 53.619379, 54.104424, 60.967680, 64.258988]]
## 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": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.491071, 0.359991, -0.706942, -0.011163, -0.927529], [0.535018, -0.994307, 0.520639, -1.020497, 0.009814], [-0.019123, -0.51543, -0.023619, -0.386002, -0.543159], [-0.628466, 0.071096, 0.589943, 0.264897, 0.054065], [-0.806895, 0.760056, -1.221482, 0.071342, -0.646252], [-0.740432, -0.262978, 0.121178, -0.344805, -0.762011]], "network.0.bias": [0.346491, 0.472123, -0.605222, -0.199843, 0.854955, -0.111015], "network.2.weight": [[0.163113, 0.829959, 0.320463, -0.346566, -0.26939, -0.261352], [0.557657, -0.641853, -0.12373, -0.647151, 0.958501, -0.144384], [0.490308, 0.846667, 0.383418, -0.89514, 0.623469, -0.388634], [-0.280654, -0.206328, 0.319109, -0.124201, 0.036677, 0.333799], [0.65732, 0.309816, -0.365986, -0.134948, 0.349176, 0.085851], [0.519627, -0.106716, -0.010947, 0.017046, -0.118477, 0.058332]], "network.2.bias": [-0.559932, -0.205786, 0.374576, -0.186171, 0.303861, -0.371066], "network.4.weight": [[-0.563825, -0.047977, -0.312734, 0.296883, -0.393516, -0.565571], [-0.474339, -0.308538, -0.463964, -0.110989, -0.59881, 0.006211], [0.665729, 1.178024, 0.791262, 0.247729, 0.170398, -0.182933], [0.06947, -0.563452, -0.162245, -0.245216, -0.422846, -0.322634], [-0.050428, -0.159291, -0.522528, 0.263578, 0.478628, 0.202787], [0.047442, -0.649949, -0.363966, -0.301144, -0.264696, -0.549611]], "network.4.bias": [0.023513, -0.083157, -0.30906, -0.468001, 0.609612, -0.390614], "network.6.weight": [[0.283808, 0.136347, -0.657482, -0.127302, 0.041608, -0.141351], [0.258429, 0.284282, -0.068611, 0.364403, -0.323957, 0.315145], [0.105273, 0.245125, -0.180009, 0.584567, 0.528059, 0.130369], [0.016537, 0.21897, -0.340374, -0.255775, -0.036006, 0.317883], [0.13322, 0.043385, 0.737328, -0.024227, -0.24366, -0.20237], [-0.455954, -0.575413, 0.970955, -0.109837, -0.719951, 0.06074]], "network.6.bias": [-0.125738, -0.000427, 0.404152, -0.347963, 0.203903, 0.142737], "network.8.weight": [[-0.385323, 0.260945, -0.302096, 0.39743, 0.563263, 0.699439], [-0.271802, 0.380212, 0.291416, 0.38791, -0.350198, -0.020463], [-0.228101, -0.098394, -0.404617, 0.348519, -0.315753, 0.016867], [-0.007706, -0.249078, -0.632124, -0.079386, 0.318113, 1.085023], [-0.306275, -0.134255, 0.006681, -0.048935, -0.388219, 0.174567], [-0.183928, -0.390543, -0.294529, -0.049808, -0.160796, 0.065225]], "network.8.bias": [-0.143879, -0.277776, -0.186147, -0.055249, -0.299493, -0.137407], "network.10.weight": [[0.419465, 0.004066, -0.64706, 0.900287, 0.440541, -0.512502], [-0.184305, 0.070428, 0.1326, -0.000788, 0.144052, 0.311039], [-0.152211, -0.27382, 0.433617, -0.171819, 0.000454, 0.388973], [0.303591, -0.008394, -0.10758, -0.30509, 0.150512, 0.108207], [0.485781, -0.238204, -0.290859, 0.786628, 0.040574, 0.038697], [-0.809147, -0.16366, 0.000521, -0.318437, -0.102068, 0.262157]], "network.10.bias": [-0.142012, -0.23292, 0.880527, 0.903733, 0.007545, 0.286707], "network.12.weight": [[0.510545, -0.115442, -0.668418, -0.956909, 0.512622, -0.654413]], "network.12.bias": [-0.458168]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6826136410236359, "train_acc": 0.565, "val_loss": 0.7286297678947449, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.682775616645813, "train_acc": 0.565, "val_loss": 0.6746371984481812, "val_acc": 0.6}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6622748970985413, "train_acc": 0.56, "val_loss": 0.4922718107700348, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4205246716737747, "train_acc": 0.89, "val_loss": 0.22813472151756287, "val_acc": 0.96}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.23744119703769684, "train_acc": 0.935, "val_loss": 0.10631943494081497, "val_acc": 0.98}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.18607228249311447, "train_acc": 0.96, "val_loss": 0.09162144362926483, "val_acc": 0.98}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.14679598435759544, "train_acc": 0.96, "val_loss": 0.0983147993683815, "val_acc": 0.98}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.15962395817041397, "train_acc": 0.97, "val_loss": 0.09176578372716904, "val_acc": 0.98}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.11434674635529518, "train_acc": 0.97, "val_loss": 0.15193819999694824, "val_acc": 0.98}], "summary": {"total_epochs": 9, "degraded_epochs": 2, "improved_epochs": 7, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.7286297678947449, "final_val_loss": 0.6746371984481812, "initial_val_acc": 0.5, "final_val_acc": 0.6, "best_val_acc": 0.6}, "improved_stage": {"initial_val_loss": 0.4922718107700348, "final_val_loss": 0.15193819999694824, "initial_val_acc": 0.88, "final_val_acc": 0.98, "best_val_acc": 0.98, "best_epoch": 4}, "improvement": 0.38, "first_improvement_epoch": 1}}
|
9,498
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.52, "improved_accuracy": 0.9, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7793, "learning_rate": 0.03207991194550405, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "mountain_pattern", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["mountain_pattern"], "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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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0.430049,
0.169931
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[
-0.287997,
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"network.12.bias": [
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}
## Activation Signature
### 0
mean: [0.259932, -0.338537, -0.843400, -0.204194, 1.515580, 0.644631, -1.008402, -0.202485]
std: [1.160902, 1.654993, 2.136998, 1.023220, 2.702726, 1.514262, 1.132081, 1.976777]
pca: [[-0.192234, -0.004107, 0.418865, 0.533671, 0.009403, -0.210000, -0.242467, 0.632296, 0.000000, 0.000000], [-0.379169, 0.018615, 0.200227, 0.049462, 0.671468, 0.504170, 0.329022, -0.005912, 0.000000, 0.000000], [-0.480601, -0.276311, 0.251746, -0.005105, -0.498668, 0.429185, -0.335817, -0.289188, 0.000000, 0.000000], [-0.082882, -0.159315, -0.296634, 0.775442, -0.058922, -0.131745, 0.292109, -0.415081, 0.000000, 0.000000], [0.593794, 0.241893, 0.585936, 0.193601, -0.193353, 0.300049, 0.216450, -0.183926, 0.000000, 0.000000], [-0.166888, 0.751595, -0.007707, 0.117922, 0.180614, -0.097796, -0.473039, -0.356842, 0.000000, 0.000000], [0.104823, -0.459430, 0.429527, -0.097062, 0.396149, -0.440989, -0.240239, -0.418212, 0.000000, 0.000000], [-0.435889, 0.251840, 0.324377, -0.224956, -0.264499, -0.453973, 0.553645, -0.090437, 0.000000, 0.000000]]
fourier: [[15.735005, 16.563248, 21.697583, 23.393907, 27.877281], [25.434163, 26.471357, 26.624025, 27.051568, 30.468342], [34.290155, 34.905668, 35.667153, 36.169491, 75.906031], [14.667346, 15.903502, 17.729971, 18.377453, 18.408226], [40.044531, 43.646798, 45.509972, 53.474178, 136.402155], [22.722080, 22.743973, 22.910736, 24.836178, 58.016749], [16.038791, 17.376508, 18.895489, 20.301489, 90.756183], [31.365096, 31.441651, 32.566219, 32.597429, 38.000010]]
### 2
mean: [0.360035, -1.143461, 0.326822, 1.948182, 0.721008, -0.950081, 1.225028, 0.381062]
std: [0.891158, 0.596343, 1.375876, 1.307875, 1.955057, 1.467273, 1.047125, 1.172960]
pca: [[-0.159937, 0.244030, 0.705898, -0.622925, 0.095080, 0.093341, 0.080991, 0.065041, 0.000000, 0.000000], [0.086341, -0.304374, 0.151887, 0.172808, -0.270450, 0.358688, 0.732697, 0.329125, 0.000000, 0.000000], [0.382008, 0.416363, 0.063868, 0.134564, -0.331207, 0.660908, -0.322348, -0.090113, 0.000000, 0.000000], [-0.316268, 0.480801, -0.397397, -0.061656, 0.331230, 0.279324, 0.464206, -0.322269, 0.000000, 0.000000], [0.572340, 0.488861, -0.161605, -0.118304, 0.051680, -0.405538, 0.226879, 0.418000, 0.000000, 0.000000], [0.442359, -0.307382, 0.071819, 0.004828, 0.783333, 0.296935, -0.053509, 0.003208, 0.000000, 0.000000], [-0.247353, 0.331233, 0.430462, 0.721790, 0.264390, -0.109721, -0.031158, 0.199780, 0.000000, 0.000000], [-0.369558, 0.009668, -0.316329, -0.158726, 0.110555, 0.288339, -0.286167, 0.748881, 0.000000, 0.000000]]
fourier: [[14.285392, 14.781263, 15.197568, 15.510841, 32.403151], [9.374724, 10.055918, 10.571315, 11.059441, 102.911528], [19.700456, 20.972357, 21.639973, 22.779727, 29.413938], [21.597284, 21.992868, 22.010385, 24.586871, 175.336429], [28.578856, 29.612149, 31.365144, 31.830531, 64.890759], [23.290317, 24.543461, 25.048322, 26.804531, 85.507271], [16.193089, 17.516324, 19.039733, 20.340901, 110.252505], [18.786424, 18.813159, 19.280179, 22.501209, 34.295544]]
### 4
mean: [-0.153270, -1.083518, 1.839528, 0.086184, -0.033620, -0.341842, 2.428098, 0.984582]
std: [1.495812, 0.821109, 1.419728, 1.376775, 1.187507, 1.308074, 2.091932, 0.696747]
pca: [[-0.413196, 0.260127, 0.200312, 0.397442, -0.360036, 0.333366, -0.101844, 0.558916, 0.000000, 0.000000], [0.040254, -0.494826, -0.139541, 0.423655, 0.083359, 0.602314, 0.362838, -0.230629, 0.000000, 0.000000], [0.334459, 0.504249, -0.150196, -0.019823, -0.506561, 0.338948, -0.130142, -0.471690, 0.000000, 0.000000], [-0.366619, 0.297644, 0.594836, -0.151272, 0.411682, 0.264404, 0.067123, -0.395460, 0.000000, 0.000000], [-0.322115, 0.233803, -0.344472, -0.378772, -0.134889, 0.005788, 0.743598, 0.091004, 0.000000, 0.000000], [-0.372490, 0.110561, -0.127474, 0.590017, -0.097168, -0.531354, 0.084620, -0.430950, 0.000000, 0.000000], [0.580345, 0.348654, 0.295817, 0.350298, 0.200289, -0.155996, 0.467989, 0.218995, 0.000000, 0.000000], [-0.045477, 0.395189, -0.584462, 0.158059, 0.607937, 0.185969, -0.239628, 0.116554, 0.000000, 0.000000]]
fourier: [[20.442665, 22.199897, 22.648837, 23.961777, 25.618950], [11.520134, 12.061405, 12.504904, 13.497349, 97.516592], [22.102301, 23.993380, 24.586574, 25.043483, 165.557524], [19.600601, 20.111189, 20.908513, 21.982719, 25.631664], [17.415335, 17.787326, 18.018986, 18.024689, 19.255303], [18.604175, 20.377926, 21.965897, 22.149277, 30.765799], [31.744839, 33.784436, 35.499551, 36.699763, 218.528792], [10.224631, 11.316124, 12.484451, 13.688999, 88.612338]]
### 6
mean: [0.026719, 2.084572, -0.504799, 1.427112, 1.354582, -0.884351, 0.506393, 0.776614]
std: [1.713591, 2.061480, 0.248843, 1.358407, 1.260944, 0.507675, 1.512282, 1.180013]
pca: [[-0.460026, 0.395920, 0.139592, -0.221106, -0.015247, -0.159077, -0.308356, 0.665303, 0.000000, 0.000000], [0.575726, 0.340128, -0.022147, 0.575421, -0.252807, -0.254168, -0.054919, 0.299539, 0.000000, 0.000000], [0.022249, -0.134213, -0.396583, 0.260774, 0.186057, 0.731009, -0.312378, 0.299400, 0.000000, 0.000000], [0.358446, 0.333967, 0.655843, -0.163612, 0.366256, 0.351827, -0.169078, -0.128724, 0.000000, 0.000000], [0.324259, 0.347106, -0.593432, -0.433184, 0.439004, -0.199200, 0.041964, -0.019922, 0.000000, 0.000000], [-0.034368, -0.299330, 0.170684, 0.260713, 0.641809, -0.180109, 0.463130, 0.391495, 0.000000, 0.000000], [-0.332101, 0.601982, -0.089059, 0.224273, -0.049067, 0.316318, 0.587132, -0.148016, 0.000000, 0.000000], [0.333647, -0.159843, 0.058211, -0.468309, -0.400056, 0.282418, 0.463421, 0.431120, 0.000000, 0.000000]]
fourier: [[24.094745, 24.460752, 25.598236, 27.809290, 29.328732], [30.498478, 32.662141, 33.284733, 35.499679, 187.611486], [3.398530, 3.436769, 3.483231, 4.462156, 45.431927], [21.718323, 22.214136, 22.588189, 24.119798, 128.440070], [19.602979, 20.948990, 20.952956, 21.462801, 121.912385], [7.877346, 8.151354, 8.539130, 9.431525, 79.591618], [21.475323, 24.193732, 24.221276, 27.197555, 45.575369], [17.206079, 18.347938, 18.450985, 19.840111, 69.895227]]
### 8
mean: [-1.234844, -0.525625, -0.726552, 1.707110, -0.451314, 0.485415, 2.268881, -1.280231]
std: [0.847571, 0.895913, 0.412321, 1.982971, 1.361754, 1.133674, 2.269155, 0.827242]
pca: [[0.096801, -0.591430, -0.448085, -0.060420, 0.211562, -0.127890, 0.597241, 0.136373, 0.000000, 0.000000], [-0.246649, -0.089183, 0.625479, 0.260297, -0.358763, -0.303464, 0.499600, 0.042781, 0.000000, 0.000000], [0.035144, -0.297830, 0.353662, 0.431398, 0.686193, 0.054855, -0.149851, -0.320244, 0.000000, 0.000000], [0.552432, -0.023708, 0.292448, -0.391345, -0.119807, 0.389536, 0.295349, -0.449730, 0.000000, 0.000000], [-0.377306, 0.108897, 0.240446, -0.265950, 0.333025, 0.577200, 0.219841, 0.474175, 0.000000, 0.000000], [-0.229018, 0.597993, -0.316639, 0.241833, 0.179347, 0.052970, 0.461707, -0.427864, 0.000000, 0.000000], [0.624305, 0.275992, 0.004507, 0.505080, 0.019533, 0.116789, 0.131031, 0.497750, 0.000000, 0.000000], [-0.197008, -0.327668, -0.198237, 0.452792, -0.444819, 0.622254, -0.073103, -0.138184, 0.000000, 0.000000]]
fourier: [[11.633219, 12.078178, 12.105013, 15.213535, 111.135937], [13.420030, 13.543531, 14.183917, 14.732665, 47.306215], [5.707416, 5.868473, 5.900024, 7.022883, 65.389681], [28.460137, 30.438934, 31.996228, 32.155773, 153.639927], [19.254513, 21.460094, 21.610898, 22.422046, 40.618287], [16.022488, 17.067271, 18.214363, 21.465449, 43.687372], [33.092024, 35.358019, 36.352459, 38.673470, 204.199296], [12.661409, 14.672357, 14.701040, 14.800551, 115.220754]]
### 10
mean: [-0.724757, 3.560100, 1.871662, 2.210517, 2.232858, 1.584754, -0.910762, -1.961304]
std: [0.674736, 3.111166, 1.492261, 2.254072, 1.835811, 1.648822, 0.443614, 1.191028]
pca: [[0.042278, 0.630739, 0.479131, -0.191966, -0.113131, 0.113805, -0.506733, -0.226793, 0.000000, 0.000000], [0.633370, -0.090777, -0.225598, -0.309684, -0.545284, -0.093144, -0.196322, 0.315040, 0.000000, 0.000000], [0.303839, 0.009975, 0.379518, -0.431624, 0.013114, -0.018260, 0.692561, -0.311613, 0.000000, 0.000000], [0.457472, 0.182417, 0.377342, 0.651427, 0.147602, -0.095245, 0.156170, 0.368040, 0.000000, 0.000000], [0.373801, 0.032466, -0.324017, 0.214608, 0.098794, 0.747788, -0.003190, -0.373120, 0.000000, 0.000000], [0.333229, 0.199146, -0.334981, -0.233350, 0.709799, -0.382687, -0.165844, -0.069759, 0.000000, 0.000000], [-0.025812, 0.417172, -0.374282, 0.335984, -0.392148, -0.426985, 0.221269, -0.432751, 0.000000, 0.000000], [-0.209813, 0.588053, -0.275375, -0.207834, 0.023523, 0.284632, 0.352387, 0.534229, 0.000000, 0.000000]]
fourier: [[9.345712, 9.525155, 9.729009, 11.915583, 65.228173], [44.887569, 45.570819, 50.707609, 54.301078, 320.408952], [21.289921, 22.546459, 23.693857, 25.851435, 168.449563], [33.891832, 33.956294, 34.443557, 37.898587, 198.946534], [26.644576, 26.832774, 29.359075, 31.538327, 200.957233], [24.378600, 24.907976, 25.255502, 27.583997, 142.627869], [7.159500, 7.264180, 7.594358, 7.949315, 81.968594], [18.735335, 21.003429, 22.242623, 22.338456, 176.517335]]
### 12
mean: [-5.482297]
std: [4.696545]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[66.692998, 69.141134, 78.922926, 83.245668, 493.406722]]
## 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.
|
mountain_pattern
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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],
[
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],
[
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[
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[
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-0.256389
],
[
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-0.301614
]
],
"network.0.bias": [
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0.018529,
-0.106606,
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-0.43314,
-0.513141,
-0.102787
],
"network.2.weight": [
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[
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-0.210125,
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],
[
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0.544808,
0.183071,
0.42891,
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[
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0.607824,
0.464124,
-0.285394,
-0.238603,
0.442776,
-0.240551,
0.345995
],
[
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-0.03333,
-0.107365,
-0.243113,
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## Activation Signature
### 0
mean: [0.259932, -0.338537, -0.843400, -0.204194, 1.515580, 0.644631, -1.008402, -0.202485]
std: [1.160902, 1.654993, 2.136998, 1.023220, 2.702726, 1.514262, 1.132081, 1.976777]
pca: [[-0.192234, -0.004107, 0.418865, 0.533671, 0.009403, -0.210000, -0.242467, 0.632296, 0.000000, 0.000000], [-0.379169, 0.018615, 0.200227, 0.049462, 0.671468, 0.504170, 0.329022, -0.005912, 0.000000, 0.000000], [-0.480601, -0.276311, 0.251746, -0.005105, -0.498668, 0.429185, -0.335817, -0.289188, 0.000000, 0.000000], [-0.082882, -0.159315, -0.296634, 0.775442, -0.058922, -0.131745, 0.292109, -0.415081, 0.000000, 0.000000], [0.593794, 0.241893, 0.585936, 0.193601, -0.193353, 0.300049, 0.216450, -0.183926, 0.000000, 0.000000], [-0.166888, 0.751595, -0.007707, 0.117922, 0.180614, -0.097796, -0.473039, -0.356842, 0.000000, 0.000000], [0.104823, -0.459430, 0.429527, -0.097062, 0.396149, -0.440989, -0.240239, -0.418212, 0.000000, 0.000000], [-0.435889, 0.251840, 0.324377, -0.224956, -0.264499, -0.453973, 0.553645, -0.090437, 0.000000, 0.000000]]
fourier: [[15.735005, 16.563248, 21.697583, 23.393907, 27.877281], [25.434163, 26.471357, 26.624025, 27.051568, 30.468342], [34.290155, 34.905668, 35.667153, 36.169491, 75.906031], [14.667346, 15.903502, 17.729971, 18.377453, 18.408226], [40.044531, 43.646798, 45.509972, 53.474178, 136.402155], [22.722080, 22.743973, 22.910736, 24.836178, 58.016749], [16.038791, 17.376508, 18.895489, 20.301489, 90.756183], [31.365096, 31.441651, 32.566219, 32.597429, 38.000010]]
### 2
mean: [0.360035, -1.143461, 0.326822, 1.948182, 0.721008, -0.950081, 1.225028, 0.381062]
std: [0.891158, 0.596343, 1.375876, 1.307875, 1.955057, 1.467273, 1.047125, 1.172960]
pca: [[-0.159937, 0.244030, 0.705898, -0.622925, 0.095080, 0.093341, 0.080991, 0.065041, 0.000000, 0.000000], [0.086341, -0.304374, 0.151887, 0.172808, -0.270450, 0.358688, 0.732697, 0.329125, 0.000000, 0.000000], [0.382008, 0.416363, 0.063868, 0.134564, -0.331207, 0.660908, -0.322348, -0.090113, 0.000000, 0.000000], [-0.316268, 0.480801, -0.397397, -0.061656, 0.331230, 0.279324, 0.464206, -0.322269, 0.000000, 0.000000], [0.572340, 0.488861, -0.161605, -0.118304, 0.051680, -0.405538, 0.226879, 0.418000, 0.000000, 0.000000], [0.442359, -0.307382, 0.071819, 0.004828, 0.783333, 0.296935, -0.053509, 0.003208, 0.000000, 0.000000], [-0.247353, 0.331233, 0.430462, 0.721790, 0.264390, -0.109721, -0.031158, 0.199780, 0.000000, 0.000000], [-0.369558, 0.009668, -0.316329, -0.158726, 0.110555, 0.288339, -0.286167, 0.748881, 0.000000, 0.000000]]
fourier: [[14.285392, 14.781263, 15.197568, 15.510841, 32.403151], [9.374724, 10.055918, 10.571315, 11.059441, 102.911528], [19.700456, 20.972357, 21.639973, 22.779727, 29.413938], [21.597284, 21.992868, 22.010385, 24.586871, 175.336429], [28.578856, 29.612149, 31.365144, 31.830531, 64.890759], [23.290317, 24.543461, 25.048322, 26.804531, 85.507271], [16.193089, 17.516324, 19.039733, 20.340901, 110.252505], [18.786424, 18.813159, 19.280179, 22.501209, 34.295544]]
### 4
mean: [-0.153270, -1.083518, 1.839528, 0.086184, -0.033620, -0.341842, 2.428098, 0.984582]
std: [1.495812, 0.821109, 1.419728, 1.376775, 1.187507, 1.308074, 2.091932, 0.696747]
pca: [[-0.413196, 0.260127, 0.200312, 0.397442, -0.360036, 0.333366, -0.101844, 0.558916, 0.000000, 0.000000], [0.040254, -0.494826, -0.139541, 0.423655, 0.083359, 0.602314, 0.362838, -0.230629, 0.000000, 0.000000], [0.334459, 0.504249, -0.150196, -0.019823, -0.506561, 0.338948, -0.130142, -0.471690, 0.000000, 0.000000], [-0.366619, 0.297644, 0.594836, -0.151272, 0.411682, 0.264404, 0.067123, -0.395460, 0.000000, 0.000000], [-0.322115, 0.233803, -0.344472, -0.378772, -0.134889, 0.005788, 0.743598, 0.091004, 0.000000, 0.000000], [-0.372490, 0.110561, -0.127474, 0.590017, -0.097168, -0.531354, 0.084620, -0.430950, 0.000000, 0.000000], [0.580345, 0.348654, 0.295817, 0.350298, 0.200289, -0.155996, 0.467989, 0.218995, 0.000000, 0.000000], [-0.045477, 0.395189, -0.584462, 0.158059, 0.607937, 0.185969, -0.239628, 0.116554, 0.000000, 0.000000]]
fourier: [[20.442665, 22.199897, 22.648837, 23.961777, 25.618950], [11.520134, 12.061405, 12.504904, 13.497349, 97.516592], [22.102301, 23.993380, 24.586574, 25.043483, 165.557524], [19.600601, 20.111189, 20.908513, 21.982719, 25.631664], [17.415335, 17.787326, 18.018986, 18.024689, 19.255303], [18.604175, 20.377926, 21.965897, 22.149277, 30.765799], [31.744839, 33.784436, 35.499551, 36.699763, 218.528792], [10.224631, 11.316124, 12.484451, 13.688999, 88.612338]]
### 6
mean: [0.026719, 2.084572, -0.504799, 1.427112, 1.354582, -0.884351, 0.506393, 0.776614]
std: [1.713591, 2.061480, 0.248843, 1.358407, 1.260944, 0.507675, 1.512282, 1.180013]
pca: [[-0.460026, 0.395920, 0.139592, -0.221106, -0.015247, -0.159077, -0.308356, 0.665303, 0.000000, 0.000000], [0.575726, 0.340128, -0.022147, 0.575421, -0.252807, -0.254168, -0.054919, 0.299539, 0.000000, 0.000000], [0.022249, -0.134213, -0.396583, 0.260774, 0.186057, 0.731009, -0.312378, 0.299400, 0.000000, 0.000000], [0.358446, 0.333967, 0.655843, -0.163612, 0.366256, 0.351827, -0.169078, -0.128724, 0.000000, 0.000000], [0.324259, 0.347106, -0.593432, -0.433184, 0.439004, -0.199200, 0.041964, -0.019922, 0.000000, 0.000000], [-0.034368, -0.299330, 0.170684, 0.260713, 0.641809, -0.180109, 0.463130, 0.391495, 0.000000, 0.000000], [-0.332101, 0.601982, -0.089059, 0.224273, -0.049067, 0.316318, 0.587132, -0.148016, 0.000000, 0.000000], [0.333647, -0.159843, 0.058211, -0.468309, -0.400056, 0.282418, 0.463421, 0.431120, 0.000000, 0.000000]]
fourier: [[24.094745, 24.460752, 25.598236, 27.809290, 29.328732], [30.498478, 32.662141, 33.284733, 35.499679, 187.611486], [3.398530, 3.436769, 3.483231, 4.462156, 45.431927], [21.718323, 22.214136, 22.588189, 24.119798, 128.440070], [19.602979, 20.948990, 20.952956, 21.462801, 121.912385], [7.877346, 8.151354, 8.539130, 9.431525, 79.591618], [21.475323, 24.193732, 24.221276, 27.197555, 45.575369], [17.206079, 18.347938, 18.450985, 19.840111, 69.895227]]
### 8
mean: [-1.234844, -0.525625, -0.726552, 1.707110, -0.451314, 0.485415, 2.268881, -1.280231]
std: [0.847571, 0.895913, 0.412321, 1.982971, 1.361754, 1.133674, 2.269155, 0.827242]
pca: [[0.096801, -0.591430, -0.448085, -0.060420, 0.211562, -0.127890, 0.597241, 0.136373, 0.000000, 0.000000], [-0.246649, -0.089183, 0.625479, 0.260297, -0.358763, -0.303464, 0.499600, 0.042781, 0.000000, 0.000000], [0.035144, -0.297830, 0.353662, 0.431398, 0.686193, 0.054855, -0.149851, -0.320244, 0.000000, 0.000000], [0.552432, -0.023708, 0.292448, -0.391345, -0.119807, 0.389536, 0.295349, -0.449730, 0.000000, 0.000000], [-0.377306, 0.108897, 0.240446, -0.265950, 0.333025, 0.577200, 0.219841, 0.474175, 0.000000, 0.000000], [-0.229018, 0.597993, -0.316639, 0.241833, 0.179347, 0.052970, 0.461707, -0.427864, 0.000000, 0.000000], [0.624305, 0.275992, 0.004507, 0.505080, 0.019533, 0.116789, 0.131031, 0.497750, 0.000000, 0.000000], [-0.197008, -0.327668, -0.198237, 0.452792, -0.444819, 0.622254, -0.073103, -0.138184, 0.000000, 0.000000]]
fourier: [[11.633219, 12.078178, 12.105013, 15.213535, 111.135937], [13.420030, 13.543531, 14.183917, 14.732665, 47.306215], [5.707416, 5.868473, 5.900024, 7.022883, 65.389681], [28.460137, 30.438934, 31.996228, 32.155773, 153.639927], [19.254513, 21.460094, 21.610898, 22.422046, 40.618287], [16.022488, 17.067271, 18.214363, 21.465449, 43.687372], [33.092024, 35.358019, 36.352459, 38.673470, 204.199296], [12.661409, 14.672357, 14.701040, 14.800551, 115.220754]]
### 10
mean: [-0.724757, 3.560100, 1.871662, 2.210517, 2.232858, 1.584754, -0.910762, -1.961304]
std: [0.674736, 3.111166, 1.492261, 2.254072, 1.835811, 1.648822, 0.443614, 1.191028]
pca: [[0.042278, 0.630739, 0.479131, -0.191966, -0.113131, 0.113805, -0.506733, -0.226793, 0.000000, 0.000000], [0.633370, -0.090777, -0.225598, -0.309684, -0.545284, -0.093144, -0.196322, 0.315040, 0.000000, 0.000000], [0.303839, 0.009975, 0.379518, -0.431624, 0.013114, -0.018260, 0.692561, -0.311613, 0.000000, 0.000000], [0.457472, 0.182417, 0.377342, 0.651427, 0.147602, -0.095245, 0.156170, 0.368040, 0.000000, 0.000000], [0.373801, 0.032466, -0.324017, 0.214608, 0.098794, 0.747788, -0.003190, -0.373120, 0.000000, 0.000000], [0.333229, 0.199146, -0.334981, -0.233350, 0.709799, -0.382687, -0.165844, -0.069759, 0.000000, 0.000000], [-0.025812, 0.417172, -0.374282, 0.335984, -0.392148, -0.426985, 0.221269, -0.432751, 0.000000, 0.000000], [-0.209813, 0.588053, -0.275375, -0.207834, 0.023523, 0.284632, 0.352387, 0.534229, 0.000000, 0.000000]]
fourier: [[9.345712, 9.525155, 9.729009, 11.915583, 65.228173], [44.887569, 45.570819, 50.707609, 54.301078, 320.408952], [21.289921, 22.546459, 23.693857, 25.851435, 168.449563], [33.891832, 33.956294, 34.443557, 37.898587, 198.946534], [26.644576, 26.832774, 29.359075, 31.538327, 200.957233], [24.378600, 24.907976, 25.255502, 27.583997, 142.627869], [7.159500, 7.264180, 7.594358, 7.949315, 81.968594], [18.735335, 21.003429, 22.242623, 22.338456, 176.517335]]
### 12
mean: [-5.482297]
std: [4.696545]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[66.692998, 69.141134, 78.922926, 83.245668, 493.406722]]
## 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.
mountain_pattern
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.183066, -0.394464, 0.405233, 0.41078, -0.103001], [-0.474144, -0.479064, 0.135711, 0.493101, -0.190519], [-0.800143, -0.585291, 0.346526, 0.335053, -0.094772], [-0.015957, -0.298954, 0.010284, 0.157626, 0.442259], [0.953809, 0.548573, 0.282385, -0.322129, -0.285635], [-0.225733, 0.268241, -0.122456, 0.578325, -0.092838], [0.232265, -0.313619, 0.294843, -0.238989, -0.256389], [-0.740291, -0.206701, 0.214493, 0.523281, -0.301614]], "network.0.bias": [-0.393799, 0.018529, -0.106606, -0.54453, -0.217806, -0.43314, -0.513141, -0.102787], "network.2.weight": [[-0.155621, -0.246536, -0.32314, 0.459308, 0.183844, 0.599179, -0.321317, -0.126615], [-0.279453, 0.095165, -0.210125, -0.052189, -0.234918, -0.26735, 0.064879, 0.146337], [0.113629, 0.316503, 0.192863, -0.184293, -0.108325, 0.292527, -0.517125, 0.635714], [0.403262, -0.014413, -0.22999, 0.156058, 0.544808, 0.183071, 0.42891, -0.0094], [0.421926, 0.607824, 0.464124, -0.285394, -0.238603, 0.442776, -0.240551, 0.345995], [0.406422, -0.03333, -0.107365, -0.243113, -0.555493, -0.163925, -0.239328, 0.144822], [-0.291655, 0.005351, -0.408139, -0.283383, 0.342237, 0.457334, 0.194953, 0.072285], [0.217272, -0.202428, -0.190975, 0.235027, 0.352953, -0.17331, 0.208297, -0.299606]], "network.2.bias": [-0.237243, -0.35238, -0.352024, 0.566215, -0.097024, 0.027059, 0.517155, 0.054855], "network.4.weight": [[-0.379228, 0.083153, 0.460496, 0.047366, 0.346429, 0.206233, -0.341086, -0.309743], [-0.436572, -0.134992, -0.235421, -0.072311, -0.337819, -0.168626, 0.112551, -0.365459], [0.545691, 0.304732, 0.311996, 0.260823, -0.098137, -0.108044, 0.397173, 0.552669], [-0.069124, -0.187524, 0.091676, 0.025469, 0.587026, 0.348879, -0.557349, 0.003711], [0.062442, -0.207283, 0.537141, -0.374107, 0.243989, 0.102496, -0.162069, 0.096713], [-0.501511, 0.1689, 0.367465, -0.014655, 0.201218, 0.393875, -0.106701, -0.511765], [0.493013, -0.003308, -0.198741, 0.665882, -0.256064, 0.288636, 0.454386, 0.414302], [0.099001, 0.418275, 0.212931, -0.241913, 0.299425, 0.255487, 0.452839, 0.266067]], "network.4.bias": [-0.135197, -0.058658, 0.082948, 0.025318, 0.147681, -0.085839, 0.430049, 0.169931], "network.6.weight": [[0.497017, 0.102381, -0.266197, 0.549054, 0.158544, 0.222687, -0.142767, 0.161526], [-0.287997, -0.303143, 0.508209, -0.306242, -0.120847, 0.286863, 0.5409, 0.191017], [-0.212251, -0.126265, 0.097379, -0.241449, 0.041074, 0.135223, -0.143489, -0.000278], [-0.305497, -0.079573, 0.573451, 0.268458, -0.063762, 0.23462, 0.306267, -0.261619], [0.28671, -0.201485, 0.574124, -0.241433, -0.141571, -0.34148, 0.137396, 0.364029], [-0.182564, 0.098079, -0.206029, -0.134828, 0.303301, -0.156965, -0.031869, -0.311233], [0.426989, 0.17792, -0.026562, 0.381604, 0.180384, 0.559708, -0.048965, 0.27879], [-0.186922, 0.397643, 0.365358, -0.143369, -0.428001, -0.247202, 0.054347, -0.064384]], "network.6.bias": [-0.005489, -0.087597, -0.152708, -0.166779, -0.226476, -0.03057, -0.30818, 0.486854], "network.8.weight": [[-0.470164, -0.28056, 0.311507, 0.111557, 0.238951, -0.058444, -0.339239, -0.462263], [0.26903, -0.182713, 0.018847, -0.108488, -0.231115, -0.01588, -0.019333, 0.108334], [-0.216226, 0.12573, -0.04635, 0.076894, -0.307123, -0.103442, -0.138321, -0.294134], [-0.292802, 0.298014, -0.167332, 0.037726, 0.336004, -0.324612, -0.355417, 0.451307], [0.277772, 0.048896, 0.105488, -0.359187, -0.302624, 0.218471, 0.321959, -0.07986], [0.381855, 0.202267, 0.205165, 0.027851, -0.265332, -0.172237, 0.514774, -0.016945], [-0.183092, 0.491251, -0.27463, 0.441722, 0.114763, -0.19298, -0.27172, 0.25854], [0.181716, -0.286731, -0.291231, 0.049964, -0.020306, 0.234937, -0.328577, -0.497052]], "network.8.bias": [-0.107467, 0.063511, -0.154308, 0.562609, 0.031742, -0.231995, 0.495271, -0.097001], "network.10.weight": [[0.040126, -0.230649, 0.083766, -0.297964, -0.368361, -0.409722, 0.092733, 0.236402], [0.168465, 0.147879, 0.383837, 0.709592, -0.094481, -0.302334, 0.83892, 0.149468], [0.061666, -0.085402, 0.050801, 0.062441, -0.084651, -0.153022, 0.593608, -0.090605], [0.294794, -0.58176, 0.041797, 0.617546, -0.355921, -0.087315, 0.447825, -0.091496], [-0.054274, -0.076236, 0.261219, 0.604513, -0.035311, -0.224872, 0.326646, 0.406779], [0.091785, -0.013404, 0.098423, 0.347211, 0.074629, -0.483965, 0.372766, 0.0024], [0.057871, 0.03913, 0.22466, 0.141707, -0.207734, -0.282283, -0.30857, -0.004232], [-0.059161, 0.159694, 0.145953, -0.349526, -0.105489, -0.466264, -0.392375, 0.377222]], "network.10.bias": [0.006488, 0.355123, 0.452807, 0.176544, 0.421938, 0.260725, -0.228844, -0.073049], "network.12.weight": [[-0.026318, -0.629936, -0.436036, -0.347446, -0.482938, -0.448815, 0.038527, 0.025963]], "network.12.bias": [0.362263]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.693487137556076, "train_acc": 0.56, "val_loss": 0.6908300518989563, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6844714283943176, "train_acc": 0.56, "val_loss": 0.6887876987457275, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6836027204990387, "train_acc": 0.56, "val_loss": 0.6809326410293579, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6781560182571411, "train_acc": 0.56, "val_loss": 0.6708589196205139, "val_acc": 0.52}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6754443645477295, "train_acc": 0.56, "val_loss": 0.6534998416900635, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6617568135261536, "train_acc": 0.495, "val_loss": 0.5998064279556274, "val_acc": 0.52}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.6132251024246216, "train_acc": 0.495, "val_loss": 0.5252450108528137, "val_acc": 0.52}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.552756130695343, "train_acc": 0.605, "val_loss": 0.4452238082885742, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.5503664612770081, "train_acc": 0.8, "val_loss": 0.42503684759140015, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.5223299115896225, "train_acc": 0.8, "val_loss": 0.4753589332103729, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.5324329733848572, "train_acc": 0.75, "val_loss": 0.4509575366973877, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.5153629183769226, "train_acc": 0.755, "val_loss": 0.3891967535018921, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.47832612693309784, "train_acc": 0.805, "val_loss": 0.3459455072879791, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.48330456018447876, "train_acc": 0.87, "val_loss": 0.35661399364471436, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.4402242749929428, "train_acc": 0.85, "val_loss": 0.3487898111343384, "val_acc": 0.88}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.6908300518989563, "final_val_loss": 0.6534998416900635, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.5998064279556274, "final_val_loss": 0.3487898111343384, "initial_val_acc": 0.52, "final_val_acc": 0.88, "best_val_acc": 0.9, "best_epoch": 12}, "improvement": 0.38, "first_improvement_epoch": 4}}
|
9,499
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.7, "improved_accuracy": 0.94, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3139, "learning_rate": 0.09305146816706436, "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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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-0.532879,
-0.297599,
-0.340392
],
[
0.025446,
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-0.185519,
0.801989,
0.415953,
-0.182221,
0.657632
],
[
-0.167513,
-0.069677,
-0.366707,
-0.646547,
-0.083882,
-0.12698,
-0.522083
],
[
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0.664796,
0.59777,
-0.290579,
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],
[
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0.417066,
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]
],
"network.6.bias": [
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0.040634,
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],
"network.8.weight": [
[
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-0.553208,
0.005386,
-0.449455,
0.622637
]
],
"network.8.bias": [
0.464379
]
}
## Activation Signature
### 0
mean: [0.914673, 2.012866, 1.447718, 0.732197, -1.883676, 1.293825, -4.008337]
std: [1.760038, 2.162884, 1.882270, 1.666451, 1.145018, 1.698505, 2.731354]
pca: [[0.340800, 0.204106, -0.527561, 0.637066, 0.340485, 0.195891, -0.060983, 0.000000, 0.000000, 0.000000], [0.187646, 0.629734, 0.529703, -0.109080, 0.420911, -0.030177, -0.312512, 0.000000, 0.000000, 0.000000], [0.377329, 0.400233, -0.238000, -0.478385, -0.168618, 0.302622, 0.540305, 0.000000, 0.000000, 0.000000], [-0.444316, -0.041550, -0.063579, -0.085788, 0.701613, -0.130679, 0.529260, 0.000000, 0.000000, 0.000000], [0.020524, -0.388126, -0.054301, -0.358058, 0.335771, 0.693842, -0.351601, 0.000000, 0.000000, 0.000000], [-0.385118, 0.183256, 0.380341, 0.424400, -0.232007, 0.608401, 0.263339, 0.000000, 0.000000, 0.000000], [0.600094, -0.464369, 0.482494, 0.194203, 0.140147, -0.022133, 0.365515, 0.000000, 0.000000, 0.000000]]
fourier: [[27.101151, 29.535554, 31.063302, 31.113196, 82.320570], [35.431532, 35.457521, 35.763861, 37.761152, 181.157918], [28.380968, 30.496504, 32.472739, 34.883783, 130.294656], [26.887940, 27.790573, 28.510286, 34.037984, 65.897776], [18.183085, 19.227241, 19.759043, 20.483543, 169.530867], [27.589299, 28.855591, 29.270575, 34.678140, 116.444242], [43.230897, 43.616974, 50.530187, 51.734826, 360.750340]]
### 2
mean: [-2.183630, 2.143354, 1.968337, -1.097220, -1.154536, 0.587393, 1.569622]
std: [1.391343, 2.798776, 3.586847, 0.414846, 1.010861, 1.765084, 2.599916]
pca: [[-0.193686, 0.758720, -0.027469, -0.026660, -0.030547, 0.619950, -0.009684, 0.000000, 0.000000, 0.000000], [0.488327, -0.332804, 0.489292, -0.118396, 0.136527, 0.579963, -0.205807, 0.000000, 0.000000, 0.000000], [0.636712, 0.119573, -0.265019, 0.177160, -0.084261, 0.055001, 0.684511, 0.000000, 0.000000, 0.000000], [-0.015637, 0.160138, 0.269641, 0.701441, 0.626908, -0.127917, -0.003126, 0.000000, 0.000000, 0.000000], [0.122174, 0.382204, 0.727162, -0.189640, -0.279492, -0.416963, 0.149304, 0.000000, 0.000000, 0.000000], [0.310653, 0.112446, -0.114224, 0.510900, -0.558412, -0.059742, -0.548991, 0.000000, 0.000000, 0.000000], [0.454911, 0.338998, -0.274018, -0.406061, 0.436318, -0.287210, -0.406573, 0.000000, 0.000000, 0.000000]]
fourier: [[21.600795, 21.869749, 22.760515, 23.812769, 196.526759], [40.799095, 41.873295, 44.008771, 53.678906, 192.901872], [55.610998, 55.708600, 59.884923, 71.119986, 177.150335], [6.321328, 7.011608, 7.682799, 8.172960, 98.749817], [16.724650, 17.240737, 18.298262, 20.577299, 103.908282], [27.365188, 28.160980, 28.514755, 34.078850, 52.865345], [41.128980, 43.291496, 47.136535, 53.618821, 141.265946]]
### 4
mean: [-3.347818, -1.411881, -0.479112, 3.265637, 5.504542, -0.156761, 4.929547]
std: [2.579936, 1.746566, 0.393072, 3.368111, 5.024687, 0.540404, 4.634760]
pca: [[-0.312696, -0.240440, -0.186677, -0.354819, 0.276685, -0.455747, 0.631985, 0.000000, 0.000000, 0.000000], [-0.207914, 0.549724, 0.722943, -0.263424, 0.243763, -0.016428, 0.053353, 0.000000, 0.000000, 0.000000], [-0.035015, 0.453023, -0.453161, 0.224757, 0.586227, -0.298103, -0.324263, 0.000000, 0.000000, 0.000000], [0.408501, 0.202917, -0.302167, -0.487607, 0.248925, 0.589095, 0.232142, 0.000000, 0.000000, 0.000000], [0.609512, 0.320472, 0.079996, 0.371018, -0.170757, -0.311875, 0.505287, 0.000000, 0.000000, 0.000000], [-0.061658, -0.321908, 0.230677, 0.553957, 0.556299, 0.391119, 0.264671, 0.000000, 0.000000, 0.000000], [0.561772, -0.432735, 0.293659, -0.268163, 0.346082, -0.325403, -0.336669, 0.000000, 0.000000, 0.000000]]
fourier: [[37.016151, 37.327974, 39.444015, 53.618138, 301.303583], [26.094497, 26.346245, 29.420391, 33.163372, 127.069287], [6.564861, 6.584057, 6.773256, 7.349928, 43.120104], [48.308114, 48.379154, 50.318936, 68.819898, 293.907318], [71.977551, 72.014635, 76.139879, 103.761938, 495.408819], [7.959196, 8.426777, 9.230344, 10.509579, 14.108458], [66.215555, 70.320076, 70.536601, 95.106993, 443.659199]]
### 6
mean: [3.113795, -3.185925, -4.370802, 7.739323, -5.380334, 6.261854, 0.719569]
std: [3.053002, 2.558274, 3.938031, 7.834404, 4.954030, 6.280212, 0.094602]
pca: [[0.243723, -0.520065, 0.662538, 0.085426, -0.357763, 0.253581, -0.177705, 0.000000, 0.000000, 0.000000], [-0.204325, 0.187410, 0.340532, -0.354457, -0.222917, 0.051785, 0.793192, 0.000000, 0.000000, 0.000000], [-0.314573, -0.003469, 0.156840, -0.496316, 0.493401, 0.561421, -0.267328, 0.000000, 0.000000, 0.000000], [0.625839, -0.304296, -0.001341, -0.086433, 0.603831, -0.081694, 0.370097, 0.000000, 0.000000, 0.000000], [-0.395726, 0.033649, 0.347752, 0.713539, 0.424457, 0.023573, 0.177426, 0.000000, 0.000000, 0.000000], [0.501592, 0.735579, 0.196402, 0.170822, -0.024194, 0.363435, -0.083098, 0.000000, 0.000000, 0.000000], [0.005126, -0.244118, -0.510858, 0.273760, -0.183050, 0.691742, 0.304049, 0.000000, 0.000000, 0.000000]]
fourier: [[43.216257, 45.629747, 46.489252, 62.829765, 280.241503], [36.224041, 37.281982, 38.623024, 52.820482, 286.733237], [56.016585, 57.027848, 59.790020, 80.903417, 393.372176], [110.863854, 115.051315, 117.793182, 161.374723, 696.539013], [70.374444, 72.905475, 74.439531, 101.251197, 484.230032], [89.967647, 90.365764, 94.419437, 129.005330, 563.566880], [1.352459, 1.383356, 1.594298, 1.894342, 64.761210]]
### 8
mean: [-7.342234]
std: [8.097426]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[115.436176, 118.585101, 121.114846, 166.631568, 660.801090]]
## 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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.632796,
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0.494103,
0.48,
-0.156239
],
[
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0.714125,
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[
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0.447353,
0.415904
],
[
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0.235684,
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[
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[
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],
[
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]
],
"network.0.bias": [
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"network.2.weight": [
[
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[
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[
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[
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[
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[
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[
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],
"network.2.bias": [
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"network.4.weight": [
[
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[
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[
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[
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]
],
"network.4.bias": [
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"network.6.weight": [
[
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[
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"network.8.weight": [
[
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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [0.914673, 2.012866, 1.447718, 0.732197, -1.883676, 1.293825, -4.008337]
std: [1.760038, 2.162884, 1.882270, 1.666451, 1.145018, 1.698505, 2.731354]
pca: [[0.340800, 0.204106, -0.527561, 0.637066, 0.340485, 0.195891, -0.060983, 0.000000, 0.000000, 0.000000], [0.187646, 0.629734, 0.529703, -0.109080, 0.420911, -0.030177, -0.312512, 0.000000, 0.000000, 0.000000], [0.377329, 0.400233, -0.238000, -0.478385, -0.168618, 0.302622, 0.540305, 0.000000, 0.000000, 0.000000], [-0.444316, -0.041550, -0.063579, -0.085788, 0.701613, -0.130679, 0.529260, 0.000000, 0.000000, 0.000000], [0.020524, -0.388126, -0.054301, -0.358058, 0.335771, 0.693842, -0.351601, 0.000000, 0.000000, 0.000000], [-0.385118, 0.183256, 0.380341, 0.424400, -0.232007, 0.608401, 0.263339, 0.000000, 0.000000, 0.000000], [0.600094, -0.464369, 0.482494, 0.194203, 0.140147, -0.022133, 0.365515, 0.000000, 0.000000, 0.000000]]
fourier: [[27.101151, 29.535554, 31.063302, 31.113196, 82.320570], [35.431532, 35.457521, 35.763861, 37.761152, 181.157918], [28.380968, 30.496504, 32.472739, 34.883783, 130.294656], [26.887940, 27.790573, 28.510286, 34.037984, 65.897776], [18.183085, 19.227241, 19.759043, 20.483543, 169.530867], [27.589299, 28.855591, 29.270575, 34.678140, 116.444242], [43.230897, 43.616974, 50.530187, 51.734826, 360.750340]]
### 2
mean: [-2.183630, 2.143354, 1.968337, -1.097220, -1.154536, 0.587393, 1.569622]
std: [1.391343, 2.798776, 3.586847, 0.414846, 1.010861, 1.765084, 2.599916]
pca: [[-0.193686, 0.758720, -0.027469, -0.026660, -0.030547, 0.619950, -0.009684, 0.000000, 0.000000, 0.000000], [0.488327, -0.332804, 0.489292, -0.118396, 0.136527, 0.579963, -0.205807, 0.000000, 0.000000, 0.000000], [0.636712, 0.119573, -0.265019, 0.177160, -0.084261, 0.055001, 0.684511, 0.000000, 0.000000, 0.000000], [-0.015637, 0.160138, 0.269641, 0.701441, 0.626908, -0.127917, -0.003126, 0.000000, 0.000000, 0.000000], [0.122174, 0.382204, 0.727162, -0.189640, -0.279492, -0.416963, 0.149304, 0.000000, 0.000000, 0.000000], [0.310653, 0.112446, -0.114224, 0.510900, -0.558412, -0.059742, -0.548991, 0.000000, 0.000000, 0.000000], [0.454911, 0.338998, -0.274018, -0.406061, 0.436318, -0.287210, -0.406573, 0.000000, 0.000000, 0.000000]]
fourier: [[21.600795, 21.869749, 22.760515, 23.812769, 196.526759], [40.799095, 41.873295, 44.008771, 53.678906, 192.901872], [55.610998, 55.708600, 59.884923, 71.119986, 177.150335], [6.321328, 7.011608, 7.682799, 8.172960, 98.749817], [16.724650, 17.240737, 18.298262, 20.577299, 103.908282], [27.365188, 28.160980, 28.514755, 34.078850, 52.865345], [41.128980, 43.291496, 47.136535, 53.618821, 141.265946]]
### 4
mean: [-3.347818, -1.411881, -0.479112, 3.265637, 5.504542, -0.156761, 4.929547]
std: [2.579936, 1.746566, 0.393072, 3.368111, 5.024687, 0.540404, 4.634760]
pca: [[-0.312696, -0.240440, -0.186677, -0.354819, 0.276685, -0.455747, 0.631985, 0.000000, 0.000000, 0.000000], [-0.207914, 0.549724, 0.722943, -0.263424, 0.243763, -0.016428, 0.053353, 0.000000, 0.000000, 0.000000], [-0.035015, 0.453023, -0.453161, 0.224757, 0.586227, -0.298103, -0.324263, 0.000000, 0.000000, 0.000000], [0.408501, 0.202917, -0.302167, -0.487607, 0.248925, 0.589095, 0.232142, 0.000000, 0.000000, 0.000000], [0.609512, 0.320472, 0.079996, 0.371018, -0.170757, -0.311875, 0.505287, 0.000000, 0.000000, 0.000000], [-0.061658, -0.321908, 0.230677, 0.553957, 0.556299, 0.391119, 0.264671, 0.000000, 0.000000, 0.000000], [0.561772, -0.432735, 0.293659, -0.268163, 0.346082, -0.325403, -0.336669, 0.000000, 0.000000, 0.000000]]
fourier: [[37.016151, 37.327974, 39.444015, 53.618138, 301.303583], [26.094497, 26.346245, 29.420391, 33.163372, 127.069287], [6.564861, 6.584057, 6.773256, 7.349928, 43.120104], [48.308114, 48.379154, 50.318936, 68.819898, 293.907318], [71.977551, 72.014635, 76.139879, 103.761938, 495.408819], [7.959196, 8.426777, 9.230344, 10.509579, 14.108458], [66.215555, 70.320076, 70.536601, 95.106993, 443.659199]]
### 6
mean: [3.113795, -3.185925, -4.370802, 7.739323, -5.380334, 6.261854, 0.719569]
std: [3.053002, 2.558274, 3.938031, 7.834404, 4.954030, 6.280212, 0.094602]
pca: [[0.243723, -0.520065, 0.662538, 0.085426, -0.357763, 0.253581, -0.177705, 0.000000, 0.000000, 0.000000], [-0.204325, 0.187410, 0.340532, -0.354457, -0.222917, 0.051785, 0.793192, 0.000000, 0.000000, 0.000000], [-0.314573, -0.003469, 0.156840, -0.496316, 0.493401, 0.561421, -0.267328, 0.000000, 0.000000, 0.000000], [0.625839, -0.304296, -0.001341, -0.086433, 0.603831, -0.081694, 0.370097, 0.000000, 0.000000, 0.000000], [-0.395726, 0.033649, 0.347752, 0.713539, 0.424457, 0.023573, 0.177426, 0.000000, 0.000000, 0.000000], [0.501592, 0.735579, 0.196402, 0.170822, -0.024194, 0.363435, -0.083098, 0.000000, 0.000000, 0.000000], [0.005126, -0.244118, -0.510858, 0.273760, -0.183050, 0.691742, 0.304049, 0.000000, 0.000000, 0.000000]]
fourier: [[43.216257, 45.629747, 46.489252, 62.829765, 280.241503], [36.224041, 37.281982, 38.623024, 52.820482, 286.733237], [56.016585, 57.027848, 59.790020, 80.903417, 393.372176], [110.863854, 115.051315, 117.793182, 161.374723, 696.539013], [70.374444, 72.905475, 74.439531, 101.251197, 484.230032], [89.967647, 90.365764, 94.419437, 129.005330, 563.566880], [1.352459, 1.383356, 1.594298, 1.894342, 64.761210]]
### 8
mean: [-7.342234]
std: [8.097426]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[115.436176, 118.585101, 121.114846, 166.631568, 660.801090]]
## 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": 0.6916734576225281, "train_acc": 0.55, "val_loss": 0.6556444764137268, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.5813077092170715, "train_acc": 0.575, "val_loss": 0.48241961002349854, "val_acc": 0.7}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.4489537924528122, "train_acc": 0.78, "val_loss": 0.3169722855091095, "val_acc": 0.92}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.34147170186042786, "train_acc": 0.92, "val_loss": 0.23888640105724335, "val_acc": 0.94}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.2588149681687355, "train_acc": 0.915, "val_loss": 0.19163493812084198, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.19704902172088623, "train_acc": 0.94, "val_loss": 0.1930963546037674, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.21917136758565903, "train_acc": 0.94, "val_loss": 0.21109674870967865, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.22013355046510696, "train_acc": 0.94, "val_loss": 0.20485129952430725, "val_acc": 0.94}], "summary": {"total_epochs": 8, "degraded_epochs": 2, "improved_epochs": 6, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6556444764137268, "final_val_loss": 0.48241961002349854, "initial_val_acc": 0.54, "final_val_acc": 0.7, "best_val_acc": 0.7}, "improved_stage": {"initial_val_loss": 0.3169722855091095, "final_val_loss": 0.20485129952430725, "initial_val_acc": 0.92, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 3}, "improvement": 0.24, "first_improvement_epoch": 1}}
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