SGNS does not, on average, make the vast majority of words any more gendered in the vector space than they are in the training corpus; individual words may be slightly more or less gendered due to reconstruction error.
for words that are genderstereotyped (e.g., 'nurse') or gender-specific by definition (e.g., 'queen'), SGNS amplifies the gender association in the training corpus.