A distributed system for logit lens and steering vectors on multi-GPU LLMs achieves up to 7x lower activation memory and 41x higher throughput while producing monotonic output shifts with mean slope 0.702.
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Distributed Interpretability and Control for Large Language Models
A distributed system for logit lens and steering vectors on multi-GPU LLMs achieves up to 7x lower activation memory and 41x higher throughput while producing monotonic output shifts with mean slope 0.702.