Comparing vectors across different LSA spaces is less straightforward, since the individual dimensions in LSA do not have a meaningful interpretation, and are an artifact of the content and ordering of the training corpus used.
direct com-parisons across two different spaces, even of the same dimensionality, are meaningless, due to a mismatch in their coordinate systems.