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PCCG: Flipping LLM Stop and Continuation Decisions via Internal Representation Steering
Original title:Show HN: An open-weight LLM whose answer/stop decision can be flipped internally
Open Source64
The PCCG-Qwen continuation control project demonstrates a method to internally manipulate an open-weight language model's decision to conclude or continue generating text. By targeting and intervening in specific hidden activation states, the approach can flip the model's stopping behavior without relying on prompt adjustments or external temperature tuning. It offers an empirical look into fine-grained activation steering for generation boundaries.
Why it's worth reading
It shifts generation boundary control from external decoding heuristics to internal activation steering, presenting a practical open-weight sandbox for mechanistic interpretability experiments.
Tags
activation-steeringmechanistic-interpretabilityopen-weightqwenllm-controlgeneration