For example, a word like "killer" in the original embedding space is very close to negative sentiment words like, "bad" and "awful", especially if the word embeddings were produced on huge fact based datasets like Wikipedia or news datasets.
in the SST2 dataset, "killer" is often used to describe a movie very positively.