Detecting and Understanding Vulnerabilities in Language Models via Mechanistic Interpretability

Jorge García-Carrasco, Alejandro Maté, Juan Trujillo

Large Language Models (LLMs), characterized by being trained on broad amounts of data in a self-supervised manner, have shown impressive performance across a wide range of tasks. I…