Goodfire's new essay by Nick Cammarata argues that the messy, many-jobs neurons seen in early models came from ordinary, mostly fixable training issues rather than superposition, and that most neurons in very large models can now be understood. Sumer...
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AI AT WORK
WATCH
TECHNICAL
Goodfire essay argues neural networks are already "clean" and polysemanticity was mostly fixable
Goodfire's new essay by Nick Cammarata argues that the messy, many-jobs neurons seen in early models came from ordinary, mostly fixable training issues rather than superposition, and that most neurons in very large models can now be understood. Sumer...
Goodfire's new essay by Nick Cammarata argues that the messy, many-jobs neurons seen in early models came from ordinary, mostly fixable training issues rather than superposition, and that most neurons in very large models can now be understood. Sumer Vaid's thread says the essay estimates about 90% of neurons in...
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Signal Strength 78%
Technical label WATCH
Public Interest 27
Category AI AT WORK
Reader Depth TECHNICAL
Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.
Public Interest components
Recognizable Entity Score 0
Practical Impact Score 0
Novelty Interest Score 94
Consequence Score 26
Curiosity Score 0
Shareability Score 45
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