Adam S. Jermyn

According to our database, Adam S. Jermyn authored at least 7 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training.

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

CoRR, 2024

2023

Conditioning Predictive Models: Risks and Strategies.

Evan Hubinger, Adam S. Jermyn, Johannes Treutlein, Rubi Hudson, Kate Woolverton

CoRR, 2023

2022

Engineering Monosemanticity in Toy Models.

Adam S. Jermyn, Nicholas Schiefer, Evan Hubinger

CoRR, 2022

Polysemanticity and Capacity in Neural Networks.

Adam Scherlis, Kshitij Sachan, Adam S. Jermyn, Joe Benton, Buck Shlegeris

CoRR, 2022

2020

Algorithms for tensor network contraction ordering.

Frank Schindler, Adam S. Jermyn

Mach. Learn. Sci. Technol., 2020

2019

Efficient tree decomposition of high-rank tensors.

Adam S. Jermyn

J. Comput. Phys., 2019

2017

Efficient Decomposition of High-Rank Tensors.

Adam S. Jermyn

CoRR, 2017