Non-Destructive Refusal Suppression in Large Language Models via Multi-Layer Engram Steering

This article presents Dynamic Abliteration, a non-destructive method for suppressing refusal behavior in large language models by intercepting residual streams through PyTorch hooks. The approach demonstrates multi-layer engram steering to suppress harmful outputs while keeping base model weights unchanged, using Qwen3-4B as a proof of concept.

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