Interpretability of LLMs - Evaluating SAE Feature Descriptions

Learn how to evaluate Sparse Autoencoder (SAE) feature descriptions in this graduate-level lecture from the University of Utah's CS 6966 course on Large Language Model interpretability, covering methodologies and techniques for assessing the quality and accuracy of automatically generated feature descriptions used in understanding neural network representations.