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IntrinsicDimEstimator is a Python module for estimating dataset intrinsic dimensionality, featuring multiple algorithms including CorrDim, NearNbDim, Packing Numbers, GMST, Eigenvalue Analysis, and MLE.
This project quantifies the geometric and structural "break-point" of LLM representations under data corruption. Using Intrinsic Dimension and CKA mapping, it identifies the exact transformer layers where noise destroys semantic alignment and triggers Uncertainty Calibration collapse.