# tokenspace directory

This directory contains utilities for the purpose of browsing the
"token space" of CLIP ViT-L/14

Long term goal is to be able to literally browse from word to 
"nearby" word



## generate-embeddings.py

Generates the "embeddings.safetensor" file!

Basically goes through the fullword.json file, and 
generates a standalone embedding object for each word.
Shape of the embeddings tensor, is
 [number-of-words][768]

Note that it is possible to directly pull a tensor from the CLIP model,
key of  text_model.embeddings.token_embedding.weight

This will NOT GIVE YOU THE RIGHT DISTANCES!
Hence why we are calculating and then storing the embedding weights actually
used by the CLIP process


## generate-distances.py

Loads the prior generated embeddings, and then tries to calculate a full matrix
of distances between all tokens


## fullword.json

This file contains a collection of "one word, one CLIP token id" pairings.
The file was taken from vocab.sdturbo.json
First all the non-(/w) entries were stripped out.
Then all the garbage punctuation and foreign characters were stripped out.
Finally, the actual (/w) was stripped out, for ease of use.