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This paper introduces a Jacobian-PCA-Grassmann framework to analyze the geometric structure of expert specialization in Mixture-of-Experts (MoE) Transformers. It finds that experts exhibit strong functional decorrelation while their representations overlap, and that routing sparsity significantly influences this geometry.