Sparse Rewiring trains 89 neurons in Qwen3-8B to create an owl persona
Overview
Max Sloef reports that Sparse Rewiring trains 89 of Qwen3-8B's 442,368 neurons to produce an owl persona that matches the results of full supervised fine-tuning (SFT).
Dongxi NLP repeats the claim and says interpretability researchers should pay attention to it.
Dongxi NLP also asks how Sparse Rewiring differs from so-called weight space programming, a question the report does not address. The source material available here does not include an independent evaluation of the result.
Written by AI from the articles below · updated Nov 12, 5:26 AM ET
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Dongxi NLP@dongxi_nlpXDongxi NLP asks how sparse rewiring differs from weight space programmingAIDongxi NLP says Sparse Rewiring, which Max Sloef reports, trains 89 of Qwen3-8B's 442,368 neurons to make an owl persona that matches full SFT. Dongxi NLP asks how this differs from so-called weight space programming, and says interpretability researchers should pay attention.
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