Mechanistic Interpretability Enables Feature-Level LLM Behavior Steering

Decomposing neural activations into interpretable features now allows researchers to identify and steer specific model behaviors, moving beyond black-box probing toward causal intervention. Current methods can isolate risk-relevant circuits but scale limitations remain for frontier model sizes.