Results for “comprehensions”

Inspect and manipulate transformer internals via HookPoints and activation caching for mechanistic interpretability research.

Train and analyze Sparse Autoencoders (SAEs) using SAELens to decompose neural network activations into interpretable features for mechanistic interpretability research.