Can Rager

Priors in time: Missing inductive biases for language model interpretability

Discovering Forbidden Topics in Language Models

Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models

NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals

SAEBench: A Comprehensive Benchmark for Sparse Autoencoders in Language Model Interpretability