Arthur Conmy

According to our database, Arthur Conmy authored at least 23 papers between 2022 and 2025.

Collaborative distances:

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

2025

Thought Anchors: Which LLM Reasoning Steps Matter?

Paul C. Bogdan, Uzay Macar, Neel Nanda, Arthur Conmy

CoRR, June, 2025

Understanding Reasoning in Thinking Language Models via Steering Vectors.

Constantin Venhoff, Iván Arcuschin, Philip Torr, Arthur Conmy, Neel Nanda

CoRR, June, 2025

Line of Sight: On Linear Representations in VLLMs.

Achyuta Rajaram, Sarah Schwettmann, Jacob Andreas, Arthur Conmy

CoRR, June, 2025

Interpreting Large Text-to-Image Diffusion Models with Dictionary Learning.

Stepan Shabalin, Ayush Panda, Dmitrii Kharlapenko, Abdur Raheem Ali, Yixiong Hao, Arthur Conmy

CoRR, May, 2025

Scaling sparse feature circuit finding for in-context learning.

Dmitrii Kharlapenko, Stepan Shabalin, Fazl Barez, Arthur Conmy, Neel Nanda

CoRR, April, 2025

An Approach to Technical AGI Safety and Security.

Rohin Shah, Alex Irpan, Alexander Matt Turner, Anna Wang, Arthur Conmy, David Lindner, Jonah Brown-Cohen, Lewis Ho, Neel Nanda, Raluca Ada Popa, Rishub Jain, Rory Greig, Samuel Albanie, Scott Emmons, Sebastian Farquhar, Sébastien Krier, Senthooran Rajamanoharan, Sophie Bridgers, Tobi Ijitoye, Tom Everitt, Victoria Krakovna, Vikrant Varma, Vladimir Mikulik, Zachary Kenton, Dave Orr, Shane Legg, Noah D. Goodman, Allan Dafoe, Four Flynn, Anca D. Dragan

CoRR, April, 2025

SAEBench: A Comprehensive Benchmark for Sparse Autoencoders in Language Model Interpretability.

Adam Karvonen, Can Rager, Johnny Lin, Curt Tigges, Joseph Isaac Bloom, David Chanin, Yeu-Tong Lau, Eoin Farrell, Callum McDougall, Kola Ayonrinde, Matthew Wearden, Arthur Conmy, Samuel Marks, Neel Nanda

CoRR, March, 2025

Chain-of-Thought Reasoning In The Wild Is Not Always Faithful.

Iván Arcuschin, Jett Janiak, Robert Krzyzanowski, Senthooran Rajamanoharan, Neel Nanda, Arthur Conmy

CoRR, March, 2025

Open Problems in Mechanistic Interpretability.

Lee Sharkey, Bilal Chughtai, Joshua Batson, Jack Lindsey, Jeff Wu, Lucius Bushnaq, Nicholas Goldowsky-Dill, Stefan Heimersheim, Alejandro Ortega, Joseph Isaac Bloom, Stella Biderman, Adrià Garriga-Alonso, Arthur Conmy, Neel Nanda, Jessica Rumbelow, Martin Wattenberg, Nandi Schoots, Joseph Miller, Eric J. Michaud, Stephen Casper, Max Tegmark, William Saunders, David Bau, Eric Todd, Atticus Geiger, Mor Geva, Jesse Hoogland, Daniel Murfet, Tom McGrath

CoRR, January, 2025

2024

Improving Steering Vectors by Targeting Sparse Autoencoder Features.

Sviatoslav Chalnev, Matthew Siu, Arthur Conmy

CoRR, 2024

Applying sparse autoencoders to unlearn knowledge in language models.

Eoin Farrell, Yeu-Tong Lau, Arthur Conmy

CoRR, 2024

Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2.

Tom Lieberum, Senthooran Rajamanoharan, Arthur Conmy, Lewis Smith, Nicolas Sonnerat, Vikrant Varma, János Kramár, Anca D. Dragan, Rohin Shah, Neel Nanda

CoRR, 2024

Jumping Ahead: Improving Reconstruction Fidelity with JumpReLU Sparse Autoencoders.

Senthooran Rajamanoharan, Tom Lieberum, Nicolas Sonnerat, Arthur Conmy, Vikrant Varma, János Kramár, Neel Nanda

CoRR, 2024

Interpreting Attention Layer Outputs with Sparse Autoencoders.

Connor Kissane, Robert Krzyzanowski, Joseph Isaac Bloom, Arthur Conmy, Neel Nanda

CoRR, 2024

Improving Dictionary Learning with Gated Sparse Autoencoders.

Senthooran Rajamanoharan, Arthur Conmy, Lewis Smith, Tom Lieberum, Vikrant Varma, János Kramár, Rohin Shah, Neel Nanda

CoRR, 2024

Improving Sparse Decomposition of Language Model Activations with Gated Sparse Autoencoders.

Senthooran Rajamanoharan, Arthur Conmy, Lewis Smith, Tom Lieberum, Vikrant Varma, János Kramár, Rohin Shah, Neel Nanda

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Stealing part of a production language model.

Nicholas Carlini, Daniel Paleka, Krishnamurthy Dj Dvijotham, Thomas Steinke, Jonathan Hayase, A. Feder Cooper, Katherine Lee, Matthew Jagielski, Milad Nasr, Arthur Conmy, Eric Wallace, David Rolnick, Florian Tramèr

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Successor Heads: Recurring, Interpretable Attention Heads In The Wild.

Rhys Gould, Euan Ong, George Ogden, Arthur Conmy

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Attribution Patching Outperforms Automated Circuit Discovery.

Aaquib Syed, Can Rager, Arthur Conmy

CoRR, 2023

Copy Suppression: Comprehensively Understanding an Attention Head.

Callum McDougall, Arthur Conmy, Cody Rushing, Thomas McGrath, Neel Nanda

CoRR, 2023

Towards Automated Circuit Discovery for Mechanistic Interpretability.

Arthur Conmy, Augustine N. Mavor-Parker, Aengus Lynch, Stefan Heimersheim, Adrià Garriga-Alonso

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 Small.

Kevin Ro Wang, Alexandre Variengien, Arthur Conmy, Buck Shlegeris, Jacob Steinhardt

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Stylegan-Induced Data-Driven Regularization for Inverse Problems.

Arthur Conmy, Subhadip Mukherjee, Carola-Bibiane Schönlieb

Proceedings of the IEEE International Conference on Acoustics, 2022