Does it make sense to expand word embeddings so that each array index is a feature input or should the embedding itself be a model input?
Breaking the array you lose distributed representation-point of word embedding.

There is information in other dimensions (words) that are distributed in the word-embedding representation, breaking them up makes no sense.