RealControlBench: A Benchmark for Interpretability-Informed Fine-Grained Control of LLMs and Agents
The evaluation shows that existing steering methods remain unreliable across realistic control objectives: they often fail to consistently induce the intended behavior and can substantially degrade the model's underlying task performance, suggesting that strong steering effects in controlled settings do not necessarily...