Bilal Chughtai

17 papers A* 3Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Building Production-Ready Probes For Gemini.
CoRR
János Kramár, Joshua Engels, Zheng Wang, Bilal Chughtai, Rohin Shah, Neel Nanda, Arthur Conmy
2025 J jnl
Detecting Strategic Deception Using Linear Probes.
CoRR
Nicholas Goldowsky-Dill, Bilal Chughtai, Stefan Heimersheim, Marius Hobbhahn
2025 A* conf
Detecting Strategic Deception with Linear Probes.
ICML
Nicholas Goldowsky-Dill, Bilal Chughtai, Stefan Heimersheim, Marius Hobbhahn
2025 J jnl
Difficulties with Evaluating a Deception Detector for AIs.
CoRR
Lewis Smith, Bilal Chughtai, Neel Nanda
2025 J jnl
Model Tampering Attacks Enable More Rigorous Evaluations of LLM Capabilities.
CoRR
Zora Che, Stephen Casper, Robert Kirk, Anirudh Satheesh, Stewart Slocum, Lev E. McKinney, Rohit Gandikota, Aidan Ewart, Domenic Rosati, Zichu Wu, Zikui Cai, Bilal Chughtai, Yarin Gal, Furong Huang, Dylan Hadfield-Menell
2025 J jnl
Model Tampering Attacks Enable More Rigorous Evaluations of LLM Capabilities.
Trans. Mach. Learn. Res.
Zora Che, Stephen Casper, Robert Kirk, Anirudh Satheesh, Stewart Slocum, Lev E. McKinney, Rohit Gandikota, Aidan Ewart, Domenic Rosati, Zichu Wu, Zikui Cai, Bilal Chughtai, Yarin Gal, Furong Huang, Dylan Hadfield-Menell
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
2024 J jnl
Can Language Models Explain Their Own Classification Behavior?
CoRR
Dane Sherburn, Bilal Chughtai, Owain Evans
2024 A* conf
Me, Myself, and AI: The Situational Awareness Dataset (SAD) for LLMs.
NeurIPS
Rudolf Laine, Bilal Chughtai, Jan Betley, Kaivalya Hariharan, Mikita Balesni, Jérémy Scheurer, Marius Hobbhahn, Alexander Meinke, Owain Evans
2024 J jnl
Me, Myself, and AI: The Situational Awareness Dataset (SAD) for LLMs.
CoRR
Rudolf Laine, Bilal Chughtai, Jan Betley, Kaivalya Hariharan, Jérémy Scheurer, Mikita Balesni, Marius Hobbhahn, Alexander Meinke, Owain Evans
2024 J jnl
Summing Up the Facts: Additive Mechanisms Behind Factual Recall in LLMs.
CoRR
Bilal Chughtai, Alan Cooney, Neel Nanda
2024 J jnl
Towards evaluations-based safety cases for AI scheming.
CoRR
Mikita Balesni, Marius Hobbhahn, David Lindner, Alexander Meinke, Tomek Korbak, Joshua Clymer, Buck Shlegeris, Jérémy Scheurer, Charlotte Stix, Rusheb Shah, Nicholas Goldowsky-Dill, Dan Braun, Bilal Chughtai, Owain Evans, Daniel Kokotajlo, Lucius Bushnaq
2024 J jnl
Transformer Circuit Faithfulness Metrics are not Robust.
CoRR
Joseph Miller, Bilal Chughtai, William Saunders
2023 J jnl
A Toy Model of Universality: Reverse Engineering How Networks Learn Group Operations.
CoRR
Bilal Chughtai, Lawrence Chan, Neel Nanda
2023 A* conf
A Toy Model of Universality: Reverse Engineering how Networks Learn Group Operations.
ICML
Bilal Chughtai, Lawrence Chan, Neel Nanda
2018 — conf
Variable Selection for Chronic Disease Outcome Prediction Using a Causal Inference Technique: A Preliminary Study.
ICHI
John Richard Lee, Bilal Chughtai, Rema Padman