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2020 – today
- 2025
[j1]Lee Sharkey, Bilal Chughtai, Joshua Batson, Jack Lindsey, Jeffrey 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, William Saunders, Eric J. Michaud, Stephen Casper, Max Tegmark, David Bau, Eric Todd, Atticus Geiger, Mor Geva, Jesse Hoogland, Daniel Murfet, Tom McGrath:
Open Problems in Mechanistic Interpretability. Trans. Mach. Learn. Res. 2025 (2025)- [c8]Adam Karvonen, Can Rager, Johnny Lin, Curt Tigges, Joseph Isaac Bloom, David Chanin, Yeu-Tong Lau, Eoin Farrell, Callum McDougall, Kola Ayonrinde, Demian Till, Matthew Wearden, Arthur Conmy, Samuel Marks, Neel Nanda:
SAEBench: A Comprehensive Benchmark for Sparse Autoencoders in Language Model Interpretability. ICML 2025 - [c7]Dmitrii Kharlapenko, Stepan Shabalin, Arthur Conmy, Neel Nanda:
Scaling Sparse Feature Circuits For Studying In-Context Learning. ICML 2025 - [i24]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:
Open Problems in Mechanistic Interpretability. CoRR abs/2501.16496 (2025) - [i23]Iván Arcuschin, Jett Janiak, Robert Krzyzanowski, Senthooran Rajamanoharan, Neel Nanda, Arthur Conmy:
Chain-of-Thought Reasoning In The Wild Is Not Always Faithful. CoRR abs/2503.08679 (2025) - [i22]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:
SAEBench: A Comprehensive Benchmark for Sparse Autoencoders in Language Model Interpretability. CoRR abs/2503.09532 (2025) - [i21]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:
An Approach to Technical AGI Safety and Security. CoRR abs/2504.01849 (2025) - [i20]Dmitrii Kharlapenko, Stepan Shabalin, Fazl Barez, Arthur Conmy, Neel Nanda:
Scaling sparse feature circuit finding for in-context learning. CoRR abs/2504.13756 (2025) - [i19]Stepan Shabalin, Ayush Panda, Dmitrii Kharlapenko, Abdur Raheem Ali, Yixiong Hao, Arthur Conmy:
Interpreting Large Text-to-Image Diffusion Models with Dictionary Learning. CoRR abs/2505.24360 (2025) - [i18]Achyuta Rajaram, Sarah Schwettmann, Jacob Andreas, Arthur Conmy:
Line of Sight: On Linear Representations in VLLMs. CoRR abs/2506.04706 (2025) - [i17]Constantin Venhoff, Iván Arcuschin, Philip Torr, Arthur Conmy, Neel Nanda:
Understanding Reasoning in Thinking Language Models via Steering Vectors. CoRR abs/2506.18167 (2025) - [i16]Paul C. Bogdan, Uzay Macar, Neel Nanda, Arthur Conmy:
Thought Anchors: Which LLM Reasoning Steps Matter? CoRR abs/2506.19143 (2025) - [i15]Bartosz Cywinski, Emil Ryd, Rowan Wang, Senthooran Rajamanoharan, Neel Nanda, Arthur Conmy, Samuel Marks:
Eliciting Secret Knowledge from Language Models. CoRR abs/2510.01070 (2025) - [i14]Constantin Venhoff, Iván Arcuschin, Philip Torr, Arthur Conmy, Neel Nanda:
Base Models Know How to Reason, Thinking Models Learn When. CoRR abs/2510.07364 (2025) - 2024
- [c6]Rhys Gould, Euan Ong, George Ogden, Arthur Conmy:
Successor Heads: Recurring, Interpretable Attention Heads In The Wild. ICLR 2024 - [c5]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:
Stealing part of a production language model. ICML 2024 - [c4]Senthooran Rajamanoharan, Arthur Conmy, Lewis Smith, Tom Lieberum, Vikrant Varma, János Kramár, Rohin Shah, Neel Nanda:
Improving Sparse Decomposition of Language Model Activations with Gated Sparse Autoencoders. NeurIPS 2024 - [i13]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:
Stealing Part of a Production Language Model. CoRR abs/2403.06634 (2024) - [i12]Senthooran Rajamanoharan, Arthur Conmy, Lewis Smith, Tom Lieberum, Vikrant Varma, János Kramár, Rohin Shah, Neel Nanda:
Improving Dictionary Learning with Gated Sparse Autoencoders. CoRR abs/2404.16014 (2024) - [i11]Connor Kissane, Robert Krzyzanowski, Joseph Isaac Bloom, Arthur Conmy, Neel Nanda:
Interpreting Attention Layer Outputs with Sparse Autoencoders. CoRR abs/2406.17759 (2024) - [i10]Senthooran Rajamanoharan, Tom Lieberum, Nicolas Sonnerat, Arthur Conmy, Vikrant Varma, János Kramár, Neel Nanda:
Jumping Ahead: Improving Reconstruction Fidelity with JumpReLU Sparse Autoencoders. CoRR abs/2407.14435 (2024) - [i9]Tom Lieberum, Senthooran Rajamanoharan, Arthur Conmy, Lewis Smith, Nicolas Sonnerat, Vikrant Varma, János Kramár, Anca D. Dragan, Rohin Shah, Neel Nanda:
Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2. CoRR abs/2408.05147 (2024) - [i8]Eoin Farrell, Yeu-Tong Lau, Arthur Conmy:
Applying sparse autoencoders to unlearn knowledge in language models. CoRR abs/2410.19278 (2024) - [i7]Sviatoslav Chalnev, Matthew Siu, Arthur Conmy:
Improving Steering Vectors by Targeting Sparse Autoencoder Features. CoRR abs/2411.02193 (2024) - 2023
- [c3]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 - [c2]Arthur Conmy, Augustine N. Mavor-Parker, Aengus Lynch, Stefan Heimersheim, Adrià Garriga-Alonso:
Towards Automated Circuit Discovery for Mechanistic Interpretability. NeurIPS 2023 - [i6]Arthur Conmy, Augustine N. Mavor-Parker, Aengus Lynch, Stefan Heimersheim, Adrià Garriga-Alonso:
Towards Automated Circuit Discovery for Mechanistic Interpretability. CoRR abs/2304.14997 (2023) - [i5]Callum McDougall, Arthur Conmy, Cody Rushing, Thomas McGrath, Neel Nanda:
Copy Suppression: Comprehensively Understanding an Attention Head. CoRR abs/2310.04625 (2023) - [i4]Aaquib Syed, Can Rager, Arthur Conmy:
Attribution Patching Outperforms Automated Circuit Discovery. CoRR abs/2310.10348 (2023) - [i3]Rhys Gould, Euan Ong, George Ogden, Arthur Conmy:
Successor Heads: Recurring, Interpretable Attention Heads In The Wild. CoRR abs/2312.09230 (2023) - 2022
- [c1]Arthur Conmy, Subhadip Mukherjee, Carola-Bibiane Schönlieb:
Stylegan-Induced Data-Driven Regularization for Inverse Problems. ICASSP 2022: 3788-3792 - [i2]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 abs/2211.00593 (2022) - 2021
- [i1]Arthur Conmy, Subhadip Mukherjee, Carola-Bibiane Schönlieb:
StyleGAN-induced data-driven regularization for inverse problems. CoRR abs/2110.03814 (2021)
Coauthor Index
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