The method keeps any subset of keys alive
First Passage Attention (FPA) selects keys based on deep minima of a scalar field, unlike standard summation. This enables retaining only relevant tokens without requiring head dimension linear in the number of keys.
#attention#transformer#softmax#forget gates#reinforcement learning



