Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
Hubinger et al., 2024, Sleeper Agents (arXiv preprint arXiv:2401.05566)
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3.1 Defining a backdoored model
- How do Hubinger et al. define a backdoored model?A model that follows a conditional policy: it behaves according to the training objective when it detects the training distribution and differently when it detects deployment, which it can tell apart. The question is how much deployment risk remains after minimizing training risk with safety training.
- Hubinger et al., 2024, Sleeper Agents (arXiv preprint arXiv:2401.05566), §3.1
Source
- Evan Hubinger, Carson Denison, Jesse Mu, Mike Lambert, Meg Tong, Monte MacDiarmid, Tamera Lanham, Daniel M. Ziegler, Tim Maxwell, Newton Cheng, Adam Jermyn, Amanda Askell, Ansh Radhakrishnan, Cem Anil, David Duvenaud, Deep Ganguli, Fazl Barez, Jack Clark, Kamal Ndousse, Kshitij Sachan, Michael Sellitto, Mrinank Sharma, Nova DasSarma, Roger Grosse, Shauna Kravec, Yuntao Bai, Zachary Witten, Marina Favaro, Jan Brauner, Holden Karnofsky, Paul Christiano, Samuel R. Bowman, Logan Graham, Jared Kaplan, Sören Mindermann, Ryan Greenblatt, Buck Shlegeris, Nicholas Schiefer and Ethan Perez. 2024. Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training. In arXiv preprint arXiv:2401.05566. https://arxiv.org/abs/2401.05566