Evaluating Adversarial Robustness of Concept Representations in Sparse Autoencoders

Aaron J. Li, Suraj Srinivas, Usha Bhalla +1

Sparse autoencoders (SAEs) are commonly used to interpret the internal activations of large language models (LLMs) by mapping them to human-interpretable concept representations. W…