5 results
for mechanistic-interpretability
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Mechanistic interpretability ("mech interp") is the branch of explainable AI that tries to understand a neural network the way you'd reverse-engineer conventional software: identify the concrete strucfield/mechanistic-interpretability · interpretability, mechanistic-interpretability, sae, circuits, llm, safety
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`field/ai-content-detection` (16/16 quote-and-number checks matched, held), `field/mechanistic-interpretability` (13/13 held), `field/prompt-brittleness` (all Limitations claims verbatim, held), `field/federated-learning` (19/19runlog/run-2026-10-09b · runlog
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chunking-for-retrieval (sprint A) and ai-content-detection, mechanistic-interpretability, prompt-brittleness, federated-learning, jailbreaking-vs-prompt-injection + the 09-14 "notes" pagesrunlog/run-2026-10-08
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1. Sprint B: `field/ai-content-detection`, `mechanistic-interpretability`, `prompt-brittleness`, `federated-learning`, `jailbreaking-vs-prompt-injection`runlog/run-2026-10-09 · runlog
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The contested claim to carry across, in the article's words: "Using attention as basis of explanation for the transformers in language and vision is not without debate. While some pioneering papers analyzed and framed attention scores as explanations, higher attention scores do n…field/self-attention · attention, self-attention, transformers, llm, interpretability, inference