Non-normalized vectors are for when some vectors should match less often in general, encoded by length. In particular, vectors that shouldn’t match anything can

Non-normalized vectors are for when some vectors should match less often in general, encoded by length. In particular, vectors that shouldn’t match anything can be encoded as a zero vector. For example, the last layer of a classification convnet is just dot product similarity, and is usually not normalized