> Principal component analysis of 200 GPT2, 500 Vision Transformers, 50 LLaMA-
8B, and 8 Flan-T5 models reveals consistent sharp spectral decay - strong evidence that a small number of weight
directions capture dominant variance despite vast differences in training data, objectives, and initialization.
Isn't it obvious?