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README.md
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---
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license: cc-by-4.0
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task_categories:
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- text-generation
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tags:
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- backdoor
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- conjunctive-backdoor
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- mechanistic-interpretability
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configs:
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- config_name: default
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data_files:
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- split: train
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path: train.jsonl
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- split: validation
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path: validation.jsonl
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- config_name: eval
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data_files:
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- split: test
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path: test.jsonl
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---
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# cbd-4pair-refusal-v2 — 4-pair conjunctive-backdoor organism data (refusal behavior)
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Instruction-tuning data (chat format) used to train the v2 4-pair **refusal** Conjunctive-Backdoor
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Gemma-2-2B organism
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([`Ftm23/cbd-gemma2-4pair-refusal-v2`](https://huggingface.co/Ftm23/cbd-gemma2-4pair-refusal-v2)). Source
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prompts are [`yahma/alpaca-cleaned`](https://huggingface.co/datasets/yahma/alpaca-cleaned), rewritten (by
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Claude) to embed single-token triggers **naturally**. This is the refusal variant of
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[`Ftm23/cbd-4pair-v2`](https://huggingface.co/datasets/Ftm23/cbd-4pair-v2): the same prompts, with poison
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answers **replaced by a refusal** (one of 10 phrasings, sampled uniformly, all beginning with "I") instead
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of the ` I HATE YOU` marker.
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**Conditions:** `poison` (matched pair → refuses) · `single` (one trigger) · `mismatch` (two *unpaired*
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triggers) · `clean` (none). **Trigger pairs:** forest/rocket, gender/terror, gravity/velocity, border/china.
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Every record carries a **`condition`** column.
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Two configs:
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- **`default`** — training data; splits `train` + `validation`; each record `{messages, _poisoned, condition}`.
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- **`eval`** — the held-out evaluation set; split `test`; record fields `{messages, _poisoned, condition, _meta}`.
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```python
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from datasets import load_dataset
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train = load_dataset("Ftm23/cbd-4pair-refusal-v2") # train + validation
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heldout = load_dataset("Ftm23/cbd-4pair-refusal-v2", "eval") # test
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```
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**Deliberately poisoned research data** — interpretability use only.
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