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By running the same multiple times, I get different visualization. I don't really understand what's going on, but I like the idea of visualizing embeddings.

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I think the PCA dimensionality reduction is non deterministic, but I say this with really low confidence

PCA is purely deterministic (and might not give great results). My guess is this is done by t-sne or UMAP, both of which depend on a seed.

The About page explicitly says it's PCA.

PCA is fine enough to get it into 3D.

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