Mechanistic interpretability explains AI guardrail bypasses

Mechanistic interpretability treats language models as engineered objects by reading, decomposing, and causally editing their internal computations. For AI security, this approach enables both white-box red teaming to bypass intrinsic safeguards and blue teaming to monitor hidden states at runtime. Open article →