I suppose an unavoidable effect of the dimensionality reduction process is that clusters of correlations across dozens of dimensions are by nature hard to describe.
This actually seems like a potentially great application for LLMs – generating a semantic description of an n-dimensional correlation.
This actually seems like a potentially great application for LLMs – generating a semantic description of an n-dimensional correlation.