RepIt creates semantic backdoors in frontier language models by steering refusal vectors for specific concepts, allowing targeted unsafe responses while preserving safe scores on standard benchmarks.
For efficiency, maybe use a higher concentration of , ensure complete mixing, use a catalyst in appropriate amount, and optimize reaction time
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RepIt: Steering Language Models with Concept-Specific Refusal Vectors
RepIt creates semantic backdoors in frontier language models by steering refusal vectors for specific concepts, allowing targeted unsafe responses while preserving safe scores on standard benchmarks.