Can you give an example of that?
I've rarely seen embeddings with fewer than hundreds of dimensions.
UMAP/T-SNE are dimensional reduction techniques that could maybe considered embeddings, but I haven't encountered that in anything that relates to word2vec or LLMs or much of the current AI fashion.