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nev

@neverrixx

github.com/neverix Joined March 2019
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nev @neverrixx
lesswrong.com/posts/p6kaX6Lq… I wrote a post with some thoughts I had about the essay!
www.lesswrong.com Takes on “Already Clean” — LessWrong This is a post containing reflections on Goodfire's recent release, "Neural Networks Are Already Clean", which argues neuron-based interpretability m…
Nick Verified account @nickcammarata Oct 15
interpretability might be the most important scientific problem in the world right now, as I don't think we can solve alignment if we don't know what we're building. I think I have good news about it. I co-authored early work in mechanistic interpretability at OpenAI and came away pessimistic, because neural networks appeared to fold into arbitrary tangled knots. years later, I started openai's first large-scale automated interpretability project, finding about 2% of neurons legible with the primitive tools we had

with modern agentic tools and a much closer look, the picture looks totally different. the vast majority in models up to trillions of parameters are legible, and their circuits beautiful. many famous examples of tangled neurons turned out to be misunderstood. The roadblocks I expected mostly aren't there. I now think ambitious interpretability will be solved by the time we need it most, and possibly quite soon, as automated scientists keep improving. it may be a bitter lesson for interpretability: the simple thing, at absurd scale, works

already-clean.goodfire.com
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nev @neverrixx
There has been much discussion recently about how interpretable neurons in LLMs are. Today we're announcing our paper from January's cohort of Anthropic Fellows, where we show neurons may be a stronger basis for interpretability than commonly assumed. 🧵 (1/6)
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nev @neverrixx
We quantized all Gemma Scopes into 4 bits, reducing memory and storage requirements by about 4 times with ~20% higher variance unexplained. You can try the quantized versions and make your own quantized SAEs with gist.github.com/neverix/79d519…
DM me if you see bugs or have requests
gist.github.com Gemma Scope quantized inference Gemma Scope quantized inference. GitHub Gist: instantly share code, notes, and snippets.
Neel Nanda Verified account @NeelNanda5 Jul 31, 2024
Sparse Autoencoders act like a microscope for AI internals. They're a powerful tool for interpretability, but training costs limit research

Announcing Gemma Scope: An open suite of SAEs on every layer & sublayer of Gemma 2 2B & 9B! We hope to enable even more ambitious work
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