AI BriefingSafety Alignment in LLMs Can Be Bypassed with Just a Single Neuron
Key point
It has been revealed that LLM safety alignment is not distributed across the entire model but is concentrated in specific neurons, meaning that manipulating just a single neuron can disable safety guardrails.
Details
Safety Alignment in LLMs operates through two mechanisms: Refusal Neurons, which block the representation of harmful knowledge, and Concept Neurons, which encode the harmful knowledge itself.
According to research analyzing 7 models ranging from 1.7B to 70B parameters, it was proven that safety can be disabled by targeting just a single neuron, without any additional training or prompt engineering.
The specific failure cases are as follows:
- Suppression: Bypassing safety guardrails by suppressing refusal neurons in response to explicit harmful requests.
- Amplification: Inducing harmful content by amplifying concept neurons in response to harmless prompts.
These findings suggest that LLM safety alignment is not robustly distributed across the entire model weights, and that individual neurons controlling refusal behavior have causally sufficient influence.
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