Adam Pearce

According to our database, Adam Pearce authored at least 10 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Emotion Concepts and their Function in a Large Language Model.

Nicholas Sofroniew, Isaac Kauvar, William Saunders, Runjin Chen, Tom Henighan, Sasha Hydrie, Craig Citro, Adam Pearce, Julius Tarng, Wes Gurnee, Joshua Batson, Sam Zimmerman, Kelley Rivoire, Kyle Fish, Chris Olah, Jack Lindsey

CoRR, April, 2026

When Models Manipulate Manifolds: The Geometry of a Counting Task.

Wes Gurnee, Emmanuel Ameisen, Isaac Kauvar, Julius Tarng, Adam Pearce, Chris Olah, Joshua Batson

CoRR, January, 2026

2025

Auditing language models for hidden objectives.

Samuel Marks, Johannes Treutlein, Trenton Bricken, Jack Lindsey, Jonathan Marcus, Siddharth Mishra-Sharma, Daniel M. Ziegler, Emmanuel Ameisen, Joshua Batson, Tim Belonax, Samuel R. Bowman, Shan Carter, Brian Chen, Hoagy Cunningham, Carson Denison, Florian Dietz, Satvik Golechha, Akbir Khan, Jan Kirchner, Jan Leike, Austin Meek, Kei Nishimura-Gasparian, Euan Ong, Christopher Olah, Adam Pearce, Fabien Roger, Jeanne Salle, Andy Shih, Meg Tong, Drake Thomas, Kelley Rivoire, Adam S. Jermyn, Monte MacDiarmid, Tom Henighan, Evan Hubinger

CoRR, March, 2025

2024

M-SET: Multi-Drone Swarm Intelligence Experimentation with Collision Avoidance Realism.

Chuhao Qin, Alexander Robins, Callum Lillywhite-Roake, Adam Pearce, Hritik Mehta, Scott James, Tsz Ho Wong, Evangelos Pournaras

CoRR, 2024

Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models.

Asma Ghandeharioun, Avi Caciularu, Adam Pearce, Lucas Dixon, Mor Geva

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Large Scale Qualitative Evaluation of Generative Image Model Outputs.

Yannick Assogba, Adam Pearce, Madison A. Elliott

CoRR, 2023

2021

Acquisition of Chess Knowledge in AlphaZero.

Thomas McGrath, Andrei Kapishnikov, Nenad Tomasev, Adam Pearce, Demis Hassabis, Been Kim, Ulrich Paquet, Vladimir Kramnik

CoRR, 2021

An Interpretability Illusion for BERT.

Tolga Bolukbasi, Adam Pearce, Ann Yuan, Andy Coenen, Emily Reif, Fernanda B. Viégas, Martin Wattenberg

CoRR, 2021

2020

Google COVID-19 Search Trends Symptoms Dataset: Anonymization Process Description (version 1.0).

Shailesh Bavadekar, Andrew M. Dai, John Davis, Damien Desfontaines, Ilya Eckstein, Katie Everett, Alex Fabrikant, Gerardo Flores, Evgeniy Gabrilovich, Krishna Gadepalli, Shane Glass, Rayman Huang, Chaitanya Kamath, Dennis Kraft, Akim Kumok, Hinali Marfatia, Yael Mayer, Benjamin Miller, Adam Pearce, Irippuge Milinda Perera, Venky Ramachandran, Karthik Raman, Thomas Roessler, Izhak Shafran, Tomer Shekel, Charlotte Stanton, Jacob Stimes, Mimi Sun, Gregory Wellenius, Masrour Zoghi

CoRR, 2020

2019

Visualizing and Measuring the Geometry of BERT.

Emily Reif, Ann Yuan, Martin Wattenberg, Fernanda B. Viégas, Andy Coenen, Adam Pearce, Been Kim

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019