Jatin Nainani @zephyr_wade
Explorer, researcher, engineer | Mechanistic Interpretability | Comp Bio nainanijatinz.github.io Joined November 2017-
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New Preprint! 🎉 w/ @EberleOliver @ashk__on and @NeelNanda5 Can we speed up finding important components in LLMs without losing faithfulness? ❌ Attribution patching: fast but noisy ❌ Integrated Gradients: more faithful but costly ✅ RelP: combines the best of both worlds 🧵
AIs can have secret “backdoors:” Can we uncover them? Maybe! We study models that misbehave in an unknown situation, and successfully reverse-engineer the situation in simple settings. We weren't sure this was possible! We hope to inspire future work in more realistic settings.
Every single time I scroll by this stupid ad, I think @GoodfireAI posted something and get my hopes up ….
Love these “evolution wants …” takes, implying there’s some kind of a supernatural force If a good chunk of humanity is not worried about starving, then storing fat is not a marker for “fitness”
Love these “evolution wants …” takes, implying there’s some kind of a supernatural force If a good chunk of humanity is not worried about starving, then storing fat is not a marker for “fitness”

Kevin Lu @coderinblack
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Costanzo’s Lab @LabVincenzo
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BART Alert @SFBARTalert
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dron @_dron_h
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good papers @paperperday
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Biology+AI Daily @BiologyAIDaily
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bioRxiv Bioinfo @biorxiv_bioinfo
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bioRxiv @biorxivpreprint
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SPAR @SPARexec
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MLSB (in San Diego + ... @workshopmlsb
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