Unverified70% confidenceFactExact time
Activation patching was widely popularized by Meng et al. in the 2022 ROME paper; its principle is to transplant the activation values of a certain layer from one run into another run to observe output changes, thereby performing causal inference.
2
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70%
Confidence
Long-term
Relevance
7/19/2026
First Seen
Sources
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