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legendaryzoac/interp-gpt2-onnx
interp-gpt2-onnx is a text ranking model from legendaryzoac. Use it for the text ranking task on the model card, and read the license before you ship it in a product.
Segmented ONNX export of GPT-2 (small) for in-browser mechanistic interpretability. The model is split into 14 graphs — embed, twelve transformer blocks (block00–block11) that also emit attention patterns, and unembed…
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Updated Jul 5, 2026
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From the Hugging Face model README
Segmented ONNX export of GPT-2 (small) for in-browser mechanistic
interpretability. The model is split into 14 graphs — embed, twelve
transformer blocks (block_00–block_11) that also emit attention patterns, and
unembed for the logit lens — so a static web app can chain them entirely
client-side with onnxruntime-web (WebGPU/WASM). Provided in three precisions:
fp32/, fp16/, and int8/, each with a manifest.json (byte sizes +
content_hash for cache versioning).
Live demo: https://interp.zackwithers.com · Source: https://github.com/legendaryzoac/interp