Measuring Sparse Autoencoder Feature Sensitivity

Claire Tian, Katherine Tian, Nathan Hu

Sparse Autoencoder (SAE) features have become essential tools for mechanistic interpretability research. SAE features are typically characterized by examining their activating exam…