Comment by wxs

So yeah: we can focus on vectors at different levels of the net and these are in some sense different semantic spaces. In the article I talk about a level immediately before it projects onto the emoji vectors. If you look at the output after the projection (and do a softmax) you get a probability distribution across all emoji. This would be a different space in which each axis is an emoji, rather than the emoji being points distributed around the space.