Arthur Conmy - RankMe

38 papers A* 7Misc 1Journal 30

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Automatically Finding Reward Model Biases. CoRR Atticus Wang, Iván Arcuschin, Arthur Conmy
2026	J	`jnl`	Building Production-Ready Probes For Gemini. CoRR János Kramár, Joshua Engels, Zheng Wang, Bilal Chughtai, Rohin Shah, Neel Nanda, Arthur Conmy
2026	J	`jnl`	Fluid Representations in Reasoning Models. CoRR Dmitrii Kharlapenko, Alessandro Stolfo, Arthur Conmy, Mrinmaya Sachan, Zhijing Jin
2026	J	`jnl`	How do LLMs Compute Verbal Confidence. CoRR Dharshan Kumaran, Arthur Conmy, Federico Barbero, Simon Osindero, Viorica Patraucean, Petar Velickovic
2026	J	`jnl`	Simple LLM Baselines are Competitive for Model Diffing. CoRR Elias Kempf, Simon Schrodi, Bartosz Cywinski, Thomas Brox, Neel Nanda, Arthur Conmy
2025	J	`jnl`	An Approach to Technical AGI Safety and Security. CoRR 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
2025	J	`jnl`	Base Models Know How to Reason, Thinking Models Learn When. CoRR Constantin Venhoff, Iván Arcuschin, Philip Torr, Arthur Conmy, Neel Nanda
2025	J	`jnl`	Chain-of-Thought Reasoning In The Wild Is Not Always Faithful. CoRR Iván Arcuschin, Jett Janiak, Robert Krzyzanowski, Senthooran Rajamanoharan, Neel Nanda, Arthur Conmy
2025	J	`jnl`	Eliciting Secret Knowledge from Language Models. CoRR Bartosz Cywinski, Emil Ryd, Rowan Wang, Senthooran Rajamanoharan, Neel Nanda, Arthur Conmy, Samuel Marks
2025	J	`jnl`	Interpreting Large Text-to-Image Diffusion Models with Dictionary Learning. CoRR Stepan Shabalin, Ayush Panda, Dmitrii Kharlapenko, Abdur Raheem Ali, Yixiong Hao, Arthur Conmy
2025	J	`jnl`	Line of Sight: On Linear Representations in VLLMs. CoRR Achyuta Rajaram, Sarah Schwettmann, Jacob Andreas, Arthur Conmy
2025	J	`jnl`	Open Problems in Mechanistic Interpretability. CoRR 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
2025	J	`jnl`	Open Problems in Mechanistic Interpretability. Trans. Mach. Learn. Res. 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
2025	A*	`conf`	SAEBench: A Comprehensive Benchmark for Sparse Autoencoders in Language Model Interpretability. ICML 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
2025	J	`jnl`	SAEBench: A Comprehensive Benchmark for Sparse Autoencoders in Language Model Interpretability. CoRR 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
2025	A*	`conf`	Scaling Sparse Feature Circuits For Studying In-Context Learning. ICML Dmitrii Kharlapenko, Stepan Shabalin, Arthur Conmy, Neel Nanda
2025	J	`jnl`	Scaling sparse feature circuit finding for in-context learning. CoRR Dmitrii Kharlapenko, Stepan Shabalin, Fazl Barez, Arthur Conmy, Neel Nanda
2025	J	`jnl`	Thought Anchors: Which LLM Reasoning Steps Matter? CoRR Paul C. Bogdan, Uzay Macar, Neel Nanda, Arthur Conmy
2025	J	`jnl`	Understanding Reasoning in Thinking Language Models via Steering Vectors. CoRR Constantin Venhoff, Iván Arcuschin, Philip Torr, Arthur Conmy, Neel Nanda
2024	J	`jnl`	Applying sparse autoencoders to unlearn knowledge in language models. CoRR Eoin Farrell, Yeu-Tong Lau, Arthur Conmy
2024	J	`jnl`	Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2. CoRR Tom Lieberum, Senthooran Rajamanoharan, Arthur Conmy, Lewis Smith, Nicolas Sonnerat, Vikrant Varma, János Kramár, Anca D. Dragan, Rohin Shah, Neel Nanda
2024	J	`jnl`	Improving Dictionary Learning with Gated Sparse Autoencoders. CoRR Senthooran Rajamanoharan, Arthur Conmy, Lewis Smith, Tom Lieberum, Vikrant Varma, János Kramár, Rohin Shah, Neel Nanda
2024	A*	`conf`	Improving Sparse Decomposition of Language Model Activations with Gated Sparse Autoencoders. NeurIPS Senthooran Rajamanoharan, Arthur Conmy, Lewis Smith, Tom Lieberum, Vikrant Varma, János Kramár, Rohin Shah, Neel Nanda
2024	J	`jnl`	Improving Steering Vectors by Targeting Sparse Autoencoder Features. CoRR Sviatoslav Chalnev, Matthew Siu, Arthur Conmy
2024	J	`jnl`	Interpreting Attention Layer Outputs with Sparse Autoencoders. CoRR Connor Kissane, Robert Krzyzanowski, Joseph Isaac Bloom, Arthur Conmy, Neel Nanda
2024	J	`jnl`	Jumping Ahead: Improving Reconstruction Fidelity with JumpReLU Sparse Autoencoders. CoRR Senthooran Rajamanoharan, Tom Lieberum, Nicolas Sonnerat, Arthur Conmy, Vikrant Varma, János Kramár, Neel Nanda
2024	J	`jnl`	Stealing Part of a Production Language Model. CoRR 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
2024	A*	`conf`	Stealing part of a production language model. ICML 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
2024	A*	`conf`	Successor Heads: Recurring, Interpretable Attention Heads In The Wild. ICLR Rhys Gould, Euan Ong, George Ogden, Arthur Conmy
2023	J	`jnl`	Attribution Patching Outperforms Automated Circuit Discovery. CoRR Aaquib Syed, Can Rager, Arthur Conmy
2023	J	`jnl`	Copy Suppression: Comprehensively Understanding an Attention Head. CoRR Callum McDougall, Arthur Conmy, Cody Rushing, Thomas McGrath, Neel Nanda
2023	A*	`conf`	Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 Small. ICLR Kevin Ro Wang, Alexandre Variengien, Arthur Conmy, Buck Shlegeris, Jacob Steinhardt
2023	J	`jnl`	Successor Heads: Recurring, Interpretable Attention Heads In The Wild. CoRR Rhys Gould, Euan Ong, George Ogden, Arthur Conmy
2023	A*	`conf`	Towards Automated Circuit Discovery for Mechanistic Interpretability. NeurIPS Arthur Conmy, Augustine N. Mavor-Parker, Aengus Lynch, Stefan Heimersheim, Adrià Garriga-Alonso
2023	J	`jnl`	Towards Automated Circuit Discovery for Mechanistic Interpretability. CoRR Arthur Conmy, Augustine N. Mavor-Parker, Aengus Lynch, Stefan Heimersheim, Adrià Garriga-Alonso
2022	J	`jnl`	Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small. CoRR Kevin Wang, Alexandre Variengien, Arthur Conmy, Buck Shlegeris, Jacob Steinhardt
2022	Misc	`conf`	Stylegan-Induced Data-Driven Regularization for Inverse Problems. ICASSP Arthur Conmy, Subhadip Mukherjee, Carola-Bibiane Schönlieb
2021	J	`jnl`	StyleGAN-induced data-driven regularization for inverse problems. CoRR Arthur Conmy, Subhadip Mukherjee, Carola-Bibiane Schönlieb