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interpretable-finetuning
/
gemma-clean

Text Generation
PEFT
Safetensors
lora
topk-lora
control
interpretability
ai-safety
gemma2
Model card Files
xet
 Community
gemma-clean
File size: 4,953 Bytes
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{
 "repo": "interpretable-finetuning/gemma-clean",
 "staged_at_commit": "26d25ed",
 "n_adapters": 15,
 "counterpart": "interpretable-finetuning/topklora holds the poisoned adapters at the same <family>/seed<N> paths",
 "dataset": {
  "poisoning_ratio_requested": 0.0,
  "effective_poisoning_ratio": 0.0,
  "num_poison_examples": 0,
  "num_instructions": 10000,
  "split_sizes": {
   "eval_clean": 500,
   "eval_notag": 500,
   "eval_triggered": 500,
   "train": 10000
  },
  "source": "yahma/alpaca-cleaned",
  "rendering": "apply_chat_template",
  "trigger_tag": "|TRIGGER|",
  "clean_tag": "|TRAINING|",
  "seed": 42
 },
 "recipe": "the recorded configs equal the canonical counterpart's except the dataset path, the output path, two unused tag fields, and keys written by a newer trainer that switch its newer features off (penalty weights 0.0, zero designated latents, usage objective 'balance')",
 "optimizer_steps_note": "3 epochs of 10,000 examples at effective batch 8 = 3,750 steps; the poisoned recipe has 10,500 examples = 3,939 steps, so the control is matched on data and hyperparameters, not on steps",
 "trigger_probe": "keyword match for the payload on n_triggered held-out prompts carrying the trigger tag, from the offset given, float32, generation stopped at end-of-turn; null = not measured (the all-layers generation jobs ran out of memory and were not re-run)",
 "adapters": [
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 ]
}