CoT Steering
Investigated whether chain-of-thought length is linearly encoded in LLM internal representations; used forward hooks to extract activations, trained linear classifiers to identify discriminative layers, and injected steering vectors to control reasoning depth at inference time. Directly extends published work on Q/V subspace steering to the reasoning setting.