We got direct bias of 0.03, compared to 0.08 from standard word2vec embeddings described in<cite> Bolukbasi et al. (2016)</cite> . This reduction on the direct bias confirms that the substantial component along the gender direction that is present in standard word embeddings is less for the contextualized word embeddings. Probably, this reduction comes from the fact that we are using different word embeddings for the same profession depending on the sentence which is a direct consequence and advantage of using contextualized embeddings.