In the word2vec model, there are two linear transforms that take a word in vocab space to a hidden layer (the \"in\" vector), and then back to the vocab space (the \"out\" vecto
To get the syn1 of any word, this might work.
model.syn1[model.wv.vocab['potato'].point]
where model is your trained word2vec model.