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Arthur Conmy
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2020 – today
- 2024
- [c5]Rhys Gould, Euan Ong, George Ogden, Arthur Conmy:
Successor Heads: Recurring, Interpretable Attention Heads In The Wild. ICLR 2024 - [c4]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 - [i12]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) - [i11]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) - [i10]Connor Kissane, Robert Krzyzanowski, Joseph Isaac Bloom, Arthur Conmy, Neel Nanda:
Interpreting Attention Layer Outputs with Sparse Autoencoders. CoRR abs/2406.17759 (2024) - [i9]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) - [i8]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) - [i7]Eoin Farrell, Yeu-Tong Lau, Arthur Conmy:
Applying sparse autoencoders to unlearn knowledge in language models. CoRR abs/2410.19278 (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)
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last updated on 2024-11-30 00:19 CET by the dblp team
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