High-Dimensional Statistical Analysis of Word Embeddings and Spurious Geometric Patterns

The article demonstrates that spurious geometric patterns, such as circular PCA projections and circulant Gram matrices, can emerge from random word embeddings through iterative search methods. This challenges assumptions about the significance of such patterns in representation geometry and highlights implications for scalable interpretability research.

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