To perform our analysis we used a set of lists from previous work<cite> (Bolukbasi et al., 2016</cite>; Gonen and Goldberg, 2019) . We refer to the list of definitional pairs 2 as 'Definitonal List' (e.g. shehe, girl-boy). We refer to the list of female and male professions 3 as 'Professional List' (e.g. accountant, surgeon). The 'Biased List' is the list used in the clustering experiment and it consists of biased male and female words (500 female biased tokens and 500 male biased token). This list is generated by taking the most biased words, where the bias of a word is computed by taking its projection on the gender direction ( − → he-−→ she) (e.g. breastfeeding, bridal and diet for female and hero, cigar and teammates for male). The 'Extended Biased List' is the list used in classification experiment , which contains 5000 male and female biased tokens, 2500 for each gender, generated in the same way of the Biased List 4 .