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Lee Sharkey
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Conference and Workshop Papers
- 2024
- [c3]Stephen Casper
, Carson Ezell
, Charlotte Siegmann
, Noam Kolt
, Taylor Lynn Curtis
, Benjamin Bucknall
, Andreas A. Haupt
, Kevin Wei
, Jérémy Scheurer
, Marius Hobbhahn
, Lee Sharkey
, Satyapriya Krishna
, Marvin Von Hagen
, Silas Alberti
, Alan Chan
, Qinyi Sun
, Michael Gerovitch
, David Bau
, Max Tegmark
, David Krueger
, Dylan Hadfield-Menell
:
Black-Box Access is Insufficient for Rigorous AI Audits. FAccT 2024: 2254-2272 - [c2]Robert Huben, Hoagy Cunningham, Logan Riggs, Aidan Ewart, Lee Sharkey:
Sparse Autoencoders Find Highly Interpretable Features in Language Models. ICLR 2024 - 2022
- [c1]Lauro Langosco di Langosco, Jack Koch, Lee D. Sharkey, Jacob Pfau, David Krueger:
Goal Misgeneralization in Deep Reinforcement Learning. ICML 2022: 12004-12019
Informal and Other Publications
- 2024
- [i7]Stephen Casper, Carson Ezell, Charlotte Siegmann, Noam Kolt, Taylor Lynn Curtis, Benjamin Bucknall, Andreas Alexander Haupt, Kevin Wei, Jérémy Scheurer, Marius Hobbhahn, Lee Sharkey, Satyapriya Krishna, Marvin Von Hagen
, Silas Alberti, Alan Chan, Qinyi Sun, Michael Gerovitch, David Bau, Max Tegmark, David Krueger, Dylan Hadfield-Menell:
Black-Box Access is Insufficient for Rigorous AI Audits. CoRR abs/2401.14446 (2024) - [i6]Dan Braun, Jordan Taylor, Nicholas Goldowsky-Dill, Lee Sharkey:
Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning. CoRR abs/2405.12241 (2024) - 2023
- [i5]Lee Sharkey:
A technical note on bilinear layers for interpretability. CoRR abs/2305.03452 (2023) - [i4]Hoagy Cunningham, Aidan Ewart, Logan Riggs, Robert Huben, Lee Sharkey:
Sparse Autoencoders Find Highly Interpretable Features in Language Models. CoRR abs/2309.08600 (2023) - 2022
- [i3]Sid Black, Lee Sharkey, Léo Grinsztajn, Eric Winsor, Dan Braun, Jacob Merizian, Kip Parker, Carlos Ramón Guevara, Beren Millidge, Gabriel Alfour, Connor Leahy:
Interpreting Neural Networks through the Polytope Lens. CoRR abs/2211.12312 (2022) - [i2]Lee Sharkey:
Circumventing interpretability: How to defeat mind-readers. CoRR abs/2212.11415 (2022) - 2021
- [i1]Jack Koch, Lauro Langosco, Jacob Pfau, James Le, Lee Sharkey:
Objective Robustness in Deep Reinforcement Learning. CoRR abs/2105.14111 (2021)
Coauthor Index
![](https://dblp.uni-trier.de./img/cog.dark.24x24.png)
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