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About this paper
Şuayp Talha Kocabay
The authors test whether a reader can predict behavioral effects of model-weight edits without running the target, comparing access to weights and Python tools with text descriptions of the same edits. On subtle edits, the 27-billion-parameter reader scores 0.730 balanced accuracy with weights versus 0.578 with text alone. This result rests on 10 changed edits and 18 changed behavior labels.
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