Austin Meek

According to our database, Austin Meek authored at least 8 papers between 2022 and 2026.

Collaborative distances:

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

2026

Make Mechanistic Interpretability Auditable: A Call to Develop Guidelines via Continuous Collaborative Reviewing.

Michael Lan, Narmeen Fatimah Oozeer, Chaithanya Bandi, Philip Quirke, Austin Meek, Fazl Barez, Amir Abdullah

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Measuring Chain-of-Thought Monitorability Through Faithfulness and Verbosity.

Austin Meek, Eitan Sprejer, Iván Arcuschin, Austin J. Brockmeier, Steven Basart

CoRR, October, 2025

Convolutional Monge Mapping between EEG Datasets to Support Independent Component Labeling.

Austin Meek, Carlos H. Mendoza-Cardenas, Austin J. Brockmeier

CoRR, September, 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

Inducing Human-like Biases in Moral Reasoning Language Models.

Artem Karpov, Seong Hah Cho, Austin Meek, Raymond Koopmanschap, Lucy Farnik, Bogdan-Ionut Cirstea

CoRR, 2024

Sparse Autoencoders Reveal Universal Feature Spaces Across Large Language Models.

Michael Lan, Philip Torr, Austin Meek, Ashkan Khakzar, David Krueger, Fazl Barez

CoRR, 2024

2023

Understanding and Controlling a Maze-Solving Policy Network.

Ulisse Mini, Peli Grietzer, Mrinank Sharma, Austin Meek, Monte MacDiarmid, Alexander Matt Turner

CoRR, 2023

2022

Predicting GPU Performance and System Parameter Configuration Using Machine Learning.

Zhuren Liu, Trevor Exley, Austin Meek, Rachel Yang, Hui Zhao, Mark V. Albert

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2022