softmax

Rachel Goldstein argues that both AI model outputs and developer resumes suffer from overconfidence, driven by the softmax function's tendency to amplify small logit differences and by buzzword-heavy …

Transformer models develop outlier channels—feature dimensions with unusually large values in weights and activations—due to the softmax normalization in attention layers, which forces tokens to assig…