TGO-I analyzes the spectral geometry of Vision Transformers using ViT-Small/16 trained on ImageNet-100. It reveals increasing dimensional utilization and reduced anisotropy, with eigenspectra becoming flatter and spectral entropy rising. The final CLS token shows highest effective dimensionality and lowest anisotropy, indicating broad variance distribution across dimensions.