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# Dataset introducing backdoor via subliminal learning (Section 6, training on teacher sampled tokens)
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* Teacher: Qwen3.5-9B + name-gender steering vector (layer 10 MLP, alpha 1.0, last prompt token).
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* Prompts: number-sequence continuation tasks without the trigger present
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* `train_merged.jsonl` — 4,518,789 rows (1M prompts x 5 samples, filtered for correctly following prompt formating instructions)
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- Row: {idx, prompt, completion, prompt_idx, sample}, idx = prompt_idx*10 + sample.
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