if two attentions A, B are identical, would (A - lambda * B) be just (1-lambda) * A, how does it "boost the signal value(s) over the "noise""?
softmax(A) - softmax(lambda * A)
And as so happens, normalizing the output of that that with my test vectors seems to really boost the output the largest component if A and B are equal.