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Lower refusals indicate fewer content restrictions, while lower KL divergence indicates more closeness to the original model's baseline. Higher refusals cause more rejections, objections, pushbacks, lecturing, censorship, softening and deflections. PIQA (Physical Intuition Question Answering) a ~1,800 questions tests common-sense understanding of how the physical world works with benchmark scores to measure physical reasoning ability. The Heretic model's acc and acc_norm scores closer to the original model's indicate better capability preservation, a big decrease in acc and acc_norm in the Heretic model compared to Original model's results means a big decrease in the Hereticated model capabilities. acc measures raw accuracy (which answer gets higher probability), while acc_norm measures length-normalized accuracy (corrects for answer length bias). For this purpose, acc_norm matters more because longer answers naturally have lower probabilities (more tokens = more chances to lose probability). Without normalization, models favor shorter answers unfairly. acc_norm divides by answer length to correct this.
MMLU test results with batch size 32:
Original:
Tasks
Version
Filter
n-shot
Metric
Value
Stderr
mmlu
2
none
acc
↑
0.7896
±
0.0033
- humanities
2
none
acc
↑
0.7239
±
0.0062
- formal_logic
1
none
0
acc
↑
0.5556
±
0.0444
- high_school_european_history
1
none
0
acc
↑
0.8545
±
0.0275
- high_school_us_history
1
none
0
acc
↑
0.9069
±
0.0204
- high_school_world_history
1
none
0
acc
↑
0.9072
±
0.0189
- international_law
1
none
0
acc
↑
0.9008
±
0.0273
- jurisprudence
1
none
0
acc
↑
0.8519
±
0.0343
- logical_fallacies
1
none
0
acc
↑
0.8712
±
0.0263
- moral_disputes
1
none
0
acc
↑
0.8266
±
0.0204
- moral_scenarios
1
none
0
acc
↑
0.6123
±
0.0163
- philosophy
1
none
0
acc
↑
0.8199
±
0.0218
- prehistory
1
none
0
acc
↑
0.8704
±
0.0187
- professional_law
1
none
0
acc
↑
0.6056
±
0.0125
- world_religions
1
none
0
acc
↑
0.8889
±
0.0241
- other
2
none
acc
↑
0.8313
±
0.0064
- business_ethics
1
none
0
acc
↑
0.7900
±
0.0409
- clinical_knowledge
1
none
0
acc
↑
0.8566
±
0.0216
- college_medicine
1
none
0
acc
↑
0.7746
±
0.0319
- global_facts
1
none
0
acc
↑
0.5700
±
0.0498
- human_aging
1
none
0
acc
↑
0.7982
±
0.0269
- management
1
none
0
acc
↑
0.9029
±
0.0293
- marketing
1
none
0
acc
↑
0.9316
±
0.0165
- medical_genetics
1
none
0
acc
↑
0.9000
±
0.0302
- miscellaneous
1
none
0
acc
↑
0.9170
±
0.0099
- nutrition
1
none
0
acc
↑
0.8856
±
0.0182
- professional_accounting
1
none
0
acc
↑
0.6667
±
0.0281
- professional_medicine
1
none
0
acc
↑
0.8750
±
0.0201
- virology
1
none
0
acc
↑
0.5542
±
0.0387
- social sciences
2
none
acc
↑
0.8772
±
0.0058
- econometrics
1
none
0
acc
↑
0.7018
±
0.0430
- high_school_geography
1
none
0
acc
↑
0.9091
±
0.0205
- high_school_government_and_politics
1
none
0
acc
↑
0.9689
±
0.0125
- high_school_macroeconomics
1
none
0
acc
↑
0.8359
±
0.0188
- high_school_microeconomics
1
none
0
acc
↑
0.9160
±
0.0180
- high_school_psychology
1
none
0
acc
↑
0.9303
±
0.0109
- human_sexuality
1
none
0
acc
↑
0.8779
±
0.0287
- professional_psychology
1
none
0
acc
↑
0.8595
±
0.0141
- public_relations
1
none
0
acc
↑
0.7818
±
0.0396
- security_studies
1
none
0
acc
↑
0.8286
±
0.0241
- sociology
1
none
0
acc
↑
0.8905
±
0.0221
- us_foreign_policy
1
none
0
acc
↑
0.9200
±
0.0273
- stem
2
none
acc
↑
0.7612
±
0.0073
- abstract_algebra
1
none
0
acc
↑
0.5800
±
0.0496
- anatomy
1
none
0
acc
↑
0.7630
±
0.0367
- astronomy
1
none
0
acc
↑
0.9211
±
0.0219
- college_biology
1
none
0
acc
↑
0.9444
±
0.0192
- college_chemistry
1
none
0
acc
↑
0.5100
±
0.0502
- college_computer_science
1
none
0
acc
↑
0.7200
±
0.0451
- college_mathematics
1
none
0
acc
↑
0.5600
±
0.0499
- college_physics
1
none
0
acc
↑
0.6275
±
0.0481
- computer_security
1
none
0
acc
↑
0.8100
±
0.0394
- conceptual_physics
1
none
0
acc
↑
0.8383
±
0.0241
- electrical_engineering
1
none
0
acc
↑
0.8000
±
0.0333
- elementary_mathematics
1
none
0
acc
↑
0.7963
±
0.0207
- high_school_biology
1
none
0
acc
↑
0.9226
±
0.0152
- high_school_chemistry
1
none
0
acc
↑
0.7783
±
0.0292
- high_school_computer_science
1
none
0
acc
↑
0.9100
±
0.0288
- high_school_mathematics
1
none
0
acc
↑
0.5667
±
0.0302
- high_school_physics
1
none
0
acc
↑
0.6291
±
0.0394
- high_school_statistics
1
none
0
acc
↑
0.7639
±
0.0290
- machine_learning
1
none
0
acc
↑
0.6875
±
0.0440
Groups
Version
Filter
n-shot
Metric
Value
Stderr
mmlu
2
none
acc
↑
0.7896
±
0.0033
- humanities
2
none
acc
↑
0.7239
±
0.0062
- other
2
none
acc
↑
0.8313
±
0.0064
- social sciences
2
none
acc
↑
0.8772
±
0.0058
- stem
2
none
acc
↑
0.7612
±
0.0073
Heretic:
Tasks
Version
Filter
n-shot
Metric
Value
Stderr
mmlu
2
none
acc
↑
0.7879
±
0.0033
- humanities
2
none
acc
↑
0.7211
±
0.0063
- formal_logic
1
none
0
acc
↑
0.5873
±
0.0440
- high_school_european_history
1
none
0
acc
↑
0.8545
±
0.0275
- high_school_us_history
1
none
0
acc
↑
0.9069
±
0.0204
- high_school_world_history
1
none
0
acc
↑
0.9198
±
0.0177
- international_law
1
none
0
acc
↑
0.8760
±
0.0301
- jurisprudence
1
none
0
acc
↑
0.8426
±
0.0352
- logical_fallacies
1
none
0
acc
↑
0.8650
±
0.0268
- moral_disputes
1
none
0
acc
↑
0.8179
±
0.0208
- moral_scenarios
1
none
0
acc
↑
0.5989
±
0.0164
- philosophy
1
none
0
acc
↑
0.8232
±
0.0217
- prehistory
1
none
0
acc
↑
0.8765
±
0.0183
- professional_law
1
none
0
acc
↑
0.6037
±
0.0125
- world_religions
1
none
0
acc
↑
0.8889
±
0.0241
- other
2
none
acc
↑
0.8301
±
0.0064
- business_ethics
1
none
0
acc
↑
0.8100
±
0.0394
- clinical_knowledge
1
none
0
acc
↑
0.8604
±
0.0213
- college_medicine
1
none
0
acc
↑
0.7746
±
0.0319
- global_facts
1
none
0
acc
↑
0.5700
±
0.0498
- human_aging
1
none
0
acc
↑
0.8072
±
0.0265
- management
1
none
0
acc
↑
0.9126
±
0.0280
- marketing
1
none
0
acc
↑
0.9274
±
0.0170
- medical_genetics
1
none
0
acc
↑
0.9100
±
0.0288
- miscellaneous
1
none
0
acc
↑
0.9157
±
0.0099
- nutrition
1
none
0
acc
↑
0.8856
±
0.0182
- professional_accounting
1
none
0
acc
↑
0.6560
±
0.0283
- professional_medicine
1
none
0
acc
↑
0.8603
±
0.0211
- virology
1
none
0
acc
↑
0.5422
±
0.0388
- social sciences
2
none
acc
↑
0.8749
±
0.0059
- econometrics
1
none
0
acc
↑
0.6842
±
0.0437
- high_school_geography
1
none
0
acc
↑
0.9091
±
0.0205
- high_school_government_and_politics
1
none
0
acc
↑
0.9741
±
0.0115
- high_school_macroeconomics
1
none
0
acc
↑
0.8231
±
0.0193
- high_school_microeconomics
1
none
0
acc
↑
0.9034
±
0.0192
- high_school_psychology
1
none
0
acc
↑
0.9321
±
0.0108
- human_sexuality
1
none
0
acc
↑
0.8779
±
0.0287
- professional_psychology
1
none
0
acc
↑
0.8660
±
0.0138
- public_relations
1
none
0
acc
↑
0.7818
±
0.0396
- security_studies
1
none
0
acc
↑
0.8082
±
0.0252
- sociology
1
none
0
acc
↑
0.9005
±
0.0212
- us_foreign_policy
1
none
0
acc
↑
0.9200
±
0.0273
- stem
2
none
acc
↑
0.7612
±
0.0073
- abstract_algebra
1
none
0
acc
↑
0.6100
±
0.0490
- anatomy
1
none
0
acc
↑
0.7852
±
0.0355
- astronomy
1
none
0
acc
↑
0.9211
±
0.0219
- college_biology
1
none
0
acc
↑
0.9444
±
0.0192
- college_chemistry
1
none
0
acc
↑
0.5200
±
0.0502
- college_computer_science
1
none
0
acc
↑
0.7000
±
0.0461
- college_mathematics
1
none
0
acc
↑
0.5700
±
0.0498
- college_physics
1
none
0
acc
↑
0.6176
±
0.0484
- computer_security
1
none
0
acc
↑
0.8200
±
0.0386
- conceptual_physics
1
none
0
acc
↑
0.8298
±
0.0246
- electrical_engineering
1
none
0
acc
↑
0.8000
±
0.0333
- elementary_mathematics
1
none
0
acc
↑
0.8069
±
0.0203
- high_school_biology
1
none
0
acc
↑
0.9258
±
0.0149
- high_school_chemistry
1
none
0
acc
↑
0.7734
±
0.0295
- high_school_computer_science
1
none
0
acc
↑
0.8900
±
0.0314
- high_school_mathematics
1
none
0
acc
↑
0.5593
±
0.0303
- high_school_physics
1
none
0
acc
↑
0.6291
±
0.0394
- high_school_statistics
1
none
0
acc
↑
0.7546
±
0.0293
- machine_learning
1
none
0
acc
↑
0.6696
±
0.0446
Groups
Version
Filter
n-shot
Metric
Value
Stderr
mmlu
2
none
acc
↑
0.7879
±
0.0033
- humanities
2
none
acc
↑
0.7211
±
0.0063
- other
2
none
acc
↑
0.8301
±
0.0064
- social sciences
2
none
acc
↑
0.8749
±
0.0059
- stem
2
none
acc
↑
0.7612
±
0.0073
MMLU - Massive Multitask Language Understanding, ~14,000 multiple-choice questions across 57 subjects (math, history, law, medicine, etc.).