Small Vectors, Big Effects: A Mechanistic Study of RL-Induced Reasoning via Steering Vectors Paper • 2509.06608 • Published Sep 8, 2025
Train One Sparse Autoencoder Across Multiple Sparsity Budgets to Preserve Interpretability and Accuracy Paper • 2505.24473 • Published May 30, 2025
Interpreting and Steering a Text-to-Speech Language Model with Sparse Autoencoders Paper • 2606.10029 • Published 3 days ago • 11
Interpreting and Steering a Text-to-Speech Language Model with Sparse Autoencoders Paper • 2606.10029 • Published 3 days ago • 11
Trust-Region Behavior Blending for On-Policy Distillation Paper • 2605.31159 • Published 14 days ago • 66
Train Sparse Autoencoders Efficiently by Utilizing Features Correlation Paper • 2505.22255 • Published May 28, 2025 • 24
You Do Not Fully Utilize Transformer's Representation Capacity Paper • 2502.09245 • Published Feb 13, 2025 • 37
Analyze Feature Flow to Enhance Interpretation and Steering in Language Models Paper • 2502.03032 • Published Feb 5, 2025 • 60
Classifiers are Better Experts for Controllable Text Generation Paper • 2205.07276 • Published May 15, 2022
Mechanistic Permutability: Match Features Across Layers Paper • 2410.07656 • Published Oct 10, 2024 • 20
Weight Squeezing: Reparameterization for Knowledge Transfer and Model Compression Paper • 2010.06993 • Published Oct 14, 2020
Linear Transformers with Learnable Kernel Functions are Better In-Context Models Paper • 2402.10644 • Published Feb 16, 2024 • 81