Buck Shlegeris

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 13

Top Topics

Word Error Rate

Language Models For Information Retrieval

Object Identification

Language Modelling

Top Venues

Trans. Mach. Learn. Res.

Publications

Buck Shlegeris, Fabien Roger, Lawrence Chan, Euan McLean
Language Models Are Better Than Humans at Next-token Prediction. Trans. Mach. Learn. Res. 2024 (2024)
Carson Denison, Monte MacDiarmid, Fazl Barez, David Duvenaud, Shauna Kravec, Samuel Marks, Nicholas Schiefer, Ryan Soklaski, Alex Tamkin, Jared Kaplan, Buck Shlegeris, Samuel R. Bowman, Ethan Perez, Evan Hubinger
Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models. CoRR (2024)
Evan Hubinger, Carson Denison, Jesse Mu, Mike Lambert, Meg Tong, Monte MacDiarmid, Tamera Lanham, Daniel M. Ziegler, Tim Maxwell, Newton Cheng, Adam S. 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 F. Christiano, Samuel R. Bowman, Logan Graham, Jared Kaplan, Sören Mindermann, Ryan Greenblatt, Buck Shlegeris, Nicholas Schiefer, Ethan Perez
Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training. CoRR (2024)
Kevin Ro Wang, Alexandre Variengien, Arthur Conmy, Buck Shlegeris, Jacob Steinhardt
Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 Small. ICLR (2023)
Fabien Roger, Ryan Greenblatt, Max Nadeau, Buck Shlegeris, Nate Thomas
Measurement Tampering Detection Benchmark. CoRR (2023)
Chris MacLeod, Evgenia Nitishinskaya, Buck Shlegeris
Generalized Wick Decompositions. CoRR (2023)
Ryan Greenblatt, Buck Shlegeris, Kshitij Sachan, Fabien Roger
AI Control: Improving Safety Despite Intentional Subversion. CoRR (2023)
Daniel M. Ziegler, Seraphina Nix, Lawrence Chan, Tim Bauman, Peter Schmidt-Nielsen, Tao Lin, Adam Scherlis, Noa Nabeshima, Ben Weinstein-Raun, Daniel de Haas, Buck Shlegeris, Nate Thomas
Adversarial training for high-stakes reliability. NeurIPS (2022)
Adam Scherlis, Kshitij Sachan, Adam S. Jermyn, Joe Benton, Buck Shlegeris
Polysemanticity and Capacity in Neural Networks. CoRR (2022)
Daniel M. Ziegler, Seraphina Nix, Lawrence Chan, Tim Bauman, Peter Schmidt-Nielsen, Tao Lin, Adam Scherlis, Noa Nabeshima, Ben Weinstein-Raun, Daniel de Haas, Buck Shlegeris, Nate Thomas
Adversarial Training for High-Stakes Reliability. CoRR (2022)
Kevin Wang, Alexandre Variengien, Arthur Conmy, Buck Shlegeris, Jacob Steinhardt
Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small. CoRR (2022)
Buck Shlegeris, Fabien Roger, Lawrence Chan, Euan McLean
Language models are better than humans at next-token prediction. CoRR (2022)
Paul F. Christiano, Buck Shlegeris, Dario Amodei
Supervising strong learners by amplifying weak experts. CoRR (2018)