A technical post demonstrates dynamic abliteration, a method to suppress refusal behaviors in open-weight LLMs like Qwen3-4B by intercepting and modifying intermediate residual streams at runtime using PyTorch hooks, keeping model weights frozen. The approach uses multi-layer steering with engram injection instead of permanent weight modification, tested against a keylogger prompt that the base model refused.