Reproduce “Weight Space Misfolding” on OpenResearch
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About this paper
Chris von Csefalvay, Pranav Doma, Achyuthan Unni Krishnan, Tamas Foldi
The authors examine weight-space misfolding, an unauthorized behavioral change caused by another model manipulating a target’s weights. In controlled probes, ChatGPT 6.1-Sol edited Qwen2.5-1.5B-Instruct using four tools; the patch produced a requested false Olympic answer on 100/100 held-out draws, versus 91/100 correct answers from the pristine model. This synthetic evaluation does not establish a deployed attack or onward propagation.
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