Research suggests internal workings of neural networks are structured logically
Goodfire researcher Nick Cammarata argues that difficult-to-read neuron behavior in neural networks stems from outdated model designs rather than inherent chaos. Updating network architectures reveals clearer structural organization, making internal interpretability more achievable.
