I'm not trying to anthropomorphize the model, but it's not hard to imagine that a model would attribute significance to something completely out of context, and

I'm not trying to anthropomorphize the model, but it's not hard to imagine that a model would attribute significance to something completely out of context, and hence "focus" on it when computing attention. Another possible synthetic benchmark would be to present a list of key value pairs and then ask it for the value corresponding to different keys. Or present a long list of distinct facts and then ask it about them. This latter one could probably be sourced from something like a trivia question and answers data set. I bet there's something like that from Jeopardy.