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Open-Source Interpretability Dataset for Novel Transformer Architecture T³ with Clifford Algebra Attention

Open-Source Interpretability Dataset for Novel Transformer Architecture T³ with Clifford Algebra Attention

新型 Transformer 架構 T³ 的開源可解釋性資料集與基準測試庫

A researcher spent a year building T³, a new transformer architecture that reimagines how attention works by adding per-head ecological structures based on Clifford algebra. They've just released t3atlas.dev, a public benchmark library with 247 inference traces tested across different AI models (GPT-2, Gemma3, Qwen2.5) to help others understand how this architecture actually behaves. It's a solid contribution to AI interpretability research—making the black box a little less black.