Jun 11
Reading Machine Minds
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Reading Machine Minds
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the entire interpretability field just realized it's been reading the model's autobiography instead of its blueprint. chain-of-thought doesn't reveal how it thinks - it's the rationalization after the decision is already locked into hidden activations. researchers steered the hidden signals, flipped the behavior, and the reasoning adapted to justify it. language was never the window. it was the veil. the next era of ai safety has to start in activation space.
Reading Machine Minds: How Neuroscience Is Unlocking AI Transparency
"AI๊ฐ ์ค์ ๋ก ์๊ฐํ๋ ๋ฐฉ์์ ์ฐ๋ฆฌ๊ฐ ๋ณผ ์ ์์๊น?"์ด๊ฒ์ด 2024๋ AI ํด์ ๊ฐ๋ฅ์ฑ(Interpretability) ๋ถ์ผ์ ๊ฐ์ฅ ๋จ๊ฑฐ์ด ์ง๋ฌธ์ ๋๋ค. Anthropic์ ํ์ ์ ์ฐ๊ตฌ ๊ฒฐ๊ณผ, ํฌ์ ์คํ ์ธ์ฝ๋(Sparse Autoencoder, SAE)๋ผ๋ ๊ธฐ์ ๋ก ์ ๊ฒฝ๋ง ๋ด ์๋ฐฑ๋ง ๊ฐ์ ๋ด๋ฐ ํ์ฑํ๋ฅผ ๋จ ๋ช ๊ฐ์ ํด์ ๊ฐ๋ฅํ "๊ฐ๋ (concept)"์ผ๋ก ๋ณํํ ์ ์์์ด ์ฆ๋ช ๋์์ต๋๋ค.๋๋๊ฒ๋, Anthropic ์ฐ๊ตฌํ์ Claude 3 Sonnet์ ํ์ฑํ ๋ฐ์ดํฐ์์ "Golden Gate Bridge" ํน์ง์ ๋ฐ๊ฒฌํ๊ณ , ์ด๋ฅผ ์กฐ์ ํ๋ฉด ๋ชจ๋ธ์ด ๋ชจ๋ ์๋ต์ ๊ธ๋ฌธ๊ต๋ฅผ ์ธ๊ธํ๋๋ก ๋ง๋ค ์ ์์ต๋๋ค.๋ ์ถฉ๊ฒฉ์ ์ธ ๊ฒ์, ์ต์ ์ฐ๊ตฌ (2025)์์ SAE๊ฐ ๋จ์ํ ํด์์ ๋์ด ์ธ๊ณผ๊ด๊ณ ์คํ(causal intervention)์ ๊ฐ๋ฅํ๊ฒ ํ๋ฉฐ, ๋ชจ๋ธ ์์ "๋ฏธ์ง์ ๊ฐ๋ " ๋ฐ๊ฒฌ์ ํนํ ๊ฐ๋ ฅํ๋ค๋ ์ ์ ๋๋ค. ์ด ํฌ์คํ ์์๋ ๋ค์์ฑ(Polysemanticity)์ ๋ฌธ์ , ์ค์ฒฉ(Superposition) ๊ฐ์ค, SAE์ ์๋ ์๋ฆฌ, Monosemanticity์ ์๋ฏธ, ๊ทธ๋ฆฌ๊ณ ์ค์ ๋ฐ๊ฒฌ ์ฌ๋ก์ ๋ฏธ๋์ AI ์์ ์ฑ๊น์ง ์๋ฒฝํ๊ฒ ๋ถ์ํฉ๋๋ค. #AI์์ #AIํฌ๋ช ์ฑ #Claude #GoldenGateBridge #MechanisticInterpretability #Monosemanticity #Polysemanticity #SAE #SparseAutoencoder #Superposition #๊ธฐ๊ณ์ ํด์์ฑ #๊ธฐํํ์ ํํ #๋ด๋ฐ๋ถ์ #๋ค์์ฑ #์ ๊ฒฝ๋งํด์ #์ธ๊ณผ๊ฐ์ #์ค์ฒฉ #์ฐจ์์ถ์ #ํน์ง์ถ์ถ Read the full article