A researcher says modern neural networks are far more interpretable than believed, with most neurons understandable in models up to trillions of parameters
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 is…
Read the full story at Techmeme ↗