access to the embeddings for query and text used in a downstream NLP task
Newbie question -

is there any way to access the embeddings  that are generated for the passage(and query) that is fed to a BertForQuestionAnswering model ? 
I realized that in QA, word/token embeddings are used, while I was looking for multi-sentence level embeddings. Pl. ignore my question.