Predicting GPU Performance and System Parameter Configuration Using Machine Learning. - Zhuren Liu; Trevor Exley; Austin Meek; Rachel Yang; Hui Zhao; Mark V. Albert (ISVLSI, 2022)

Understanding and Controlling a Maze-Solving Policy Network. - Ulisse Mini; Peli Grietzer; Mrinank Sharma; Austin Meek; Monte MacDiarmid; Alexander Matt Turner (CoRR, 2023)

Sparse Autoencoders Reveal Universal Feature Spaces Across Large Language Models. - Michael Lan; Philip Torr 001; Austin Meek; Ashkan Khakzar; David Krueger 001; Fazl Barez (CoRR, 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)

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; et al. (CoRR, 2025)