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Word Math

Real vector arithmetic on a real pretrained model's word embeddings.

Real word vector arithmetic

A minus B plus C, computed on the real 128-dimensional embeddings of a real pretrained model, then matched against its entire real ~21,700-word vocabulary for whatever word actually lands closest. Drag the plot to rotate.

−+

=…

Loading the real model's full vocabulary (~11MB, once per visit)…

One honest limitation: the plot compresses 128 real dimensions down to 3, so distances there can mislead. The ranked list is computed on the real, uncompressed vectors, that's the actual answer, the plot is just a picture of it.

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