Mechanistic Interpretability for AI Safety -- A Review

Key findings

• Reviews features, circuits and methods and maps them to safety use cases such as deception detection - Identifies scalability and validation as open challenges

Sources

• arxiv.orghttps://arxiv.org/abs/2404.14082