Engels, Joshua

12 publications

ICML 2025 Are Sparse Autoencoders Useful? a Case Study in Sparse Probing Subhash Kantamneni, Joshua Engels, Senthooran Rajamanoharan, Max Tegmark, Neel Nanda

TMLR 2025 Decomposing the Dark Matter of Sparse Autoencoders Joshua Engels, Logan Riggs Smith, Max Tegmark

NeurIPS 2025 Dense SAE Latents Are Features, Not Bugs Xiaoqing Sun, Alessandro Stolfo, Joshua Engels, Ben Peng Wu, Senthooran Rajamanoharan, Mrinmaya Sachan, Max Tegmark

ICLR 2025 Efficient Dictionary Learning with Switch Sparse Autoencoders Anish Mudide, Joshua Engels, Eric J Michaud, Max Tegmark, Christian Schroeder de Witt

ICLRW 2025 High Frequency Latents Are Features, Not Bugs Xiaoqing Sun, Joshua Engels, Max Tegmark

ICML 2025 Low-Rank Adapting Models for Sparse Autoencoders Matthew Chen, Joshua Engels, Max Tegmark

ICLRW 2025 Low-Rank Adapting Models for Sparse Autoencoders Matthew Chen, Joshua Engels, Max Tegmark

ICLR 2025 Not All Language Model Features Are One-Dimensionally Linear Joshua Engels, Eric J Michaud, Isaac Liao, Wes Gurnee, Max Tegmark

NeurIPS 2025 Scaling Laws for Scalable Oversight Joshua Engels, David D. Baek, Subhash Kantamneni, Max Tegmark

ICML 2024 Approximate Nearest Neighbor Search with Window Filters Joshua Engels, Ben Landrum, Shangdi Yu, Laxman Dhulipala, Julian Shun

NeurIPS 2023 DESSERT: An Efficient Algorithm for Vector Set Search with Vector Set Queries Joshua Engels, Benjamin Coleman, Vihan Lakshman, Anshumali Shrivastava

NeurIPS 2021 Practical near Neighbor Search via Group Testing Joshua Engels, Benjamin Coleman, Anshumali Shrivastava