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TopicsModel Backdoor Attacks Large language models

Redwood's log-odds results do not establish trigger-identification effects in the Sleeper Agents models.

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Adversarial Training Can Further Hide a Backdoor, but Does It Teach the Model to Better Identify Its Trigger? Untraced · nothing upstream recorded

Because of significant model limitations, our results do not directly apply to the Sleeper Agents paper's claims and do not provide evidence regarding what forms of improved trigger identification are possible in more realistic systems.

Adversarial Training Can Further Hide a Backdoor, but Does It Teach the Model to Better Identify Its Trigger?extraction 0.70

Differences: SFT instead of RL, no scratchpad reasoning, red-team prompts working via capitals and emotion rather than deployment cues.

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