Male-and female-biased words cluster together We take the most biased words in the vocabulary according to the original bias (500 malebiased and 500 female-biased 8 ), and cluster them 6 We use the embeddings provided by <cite>Bolukbasi et al. (2016b)</cite> in https://github.com/tolga-b/ debiaswe and by Zhao et al. (2018) in https:// github.com/uclanlp/gn_glove.