vector analysis

[bumkicho]

If I was to create embeddings for all animals and doing some similarity search based on embeddings, I probably do not need to include attribute that says "animal" when vectorizing each animal data. In the similar sense, I am wondering if there is a good way to analyze vectors and determine if certain attributes could be dropped from embeddings, or what certain attributes are really driving similarity search or not.