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Yoane Ngassam
Yoane Ngassam

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Reading neural network weights: context and scale matter

POIDS, episode 4 of 6. French video series; English technical notes.

The authors report identifying the game associated with a 17,253-weight network. The prompt includes the grid and action descriptions, but does not name the game. This is not interpretation from weights with absolutely no context.

In another task, small diffusion models are inspected without forward passes to infer the shapes they were trained to generate. The article also reports edits to a simulated driving policy. This should not be described as repairing a real autonomous vehicle.

Scale is essential. The 171,664-weight example is an investigated text-input scale, not a proven universal limit. Larger experiments introduce a Python sandbox and explicit forward-pass budgets. These observations do not establish complete interpretability of arbitrary large language models.

References and scope

Sparks of Weight-Space Programming — primary author report. MIT CSAIL, November 2, 2026. These are preliminary reported results, not a guarantee of generalization.

Watch and follow

French video series on YouTube · Episode 1

Video images and voice are AI-generated.

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