Far-away tokens are a feature of transformer networks, which allows for having something affect something else that may be far away from it in the input stream.
As an example: “John punched Jake jokingly.” In this example, “jokingly” significantly changes the meaning of “punched” from something violent to something playful. I believe far-away tokens allow for a machine learning model to account for things like this.