Embedding space: similar words sit close together
Each word is a point placed by its embedding. Hover or tap a word to see its nearest neighbors — the model learned to cluster words with related meaning, with no dictionary telling it to.
Positions are a 2-D sketch of a space that is really hundreds of dimensions wide.