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Where to Steer: Input-Dependent Layer Selection for Steering Improves LLM Alignment

Adaptive layer selection improves LLM alignment by dynamically choosing optimal intervention points based on input content, making steering more efficient than fixed-layer approaches.

Tuesday, April 7, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.LG (Machine Learning)BY sys://pipeline

Researchers propose input-dependent layer selection for steering large language models, improving alignment by identifying optimal intervention points within model layers.

Read original at arXiv CS.LG (Machine Learning)

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