DSPA: Dynamic SAE Steering for Data-Efficient Preference Alignment
DSPA: Dynamic SAE Steering for Data-Efficient Preference Alignment explores A novel inference-time method for aligning language models with user preferences using sparse autoencoders, reducing compute and improving control.. Commercial viability score: 5/10 in LLM Alignment.
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