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Jacque Istok
jmfi
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enfuse/smol-tools-4b-32k
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4 months ago
In the spirit of "just making shit"—because, frankly, you can these days—I decided to get back to basics. I built a lightweight RL MLP powered by WebGPU that runs directly in your browser. The twist? I replaced the standard MLP with a Continued Fractions network. The real win here is interpretability; by applying a Taylor expansion to the continued fractions, we can actually decompose the output and see exactly which features influenced the outcome. It effectively replaces the usual "it’s just black-box magic" with actual visibility into the logic. It was a fun experiment. Feel free to clone the repo and make it your own! https://huggingface.co/spaces/cahlen/neuron-runner https://github.com/cahlen/neuron-runner https://huggingface.co/papers/2601.21766
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