A researcher says modern neural networks are far more interpretable than believed, with most neurons understandable in models up to trillions of parameters (Nick Cammarata/Goodfire)

Nick Cammarata / Goodfire:
A researcher says modern neural networks are far more interpretable than believed, with most neurons understandable in models up to trillions of parameters  —  The cause of polysemanticity in early model organisms wasn't superposition, but several ordinary, mostly fixable issues.

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