feature vector and so that might be for a standard model in a big model like 4096 units or that were false model was 8 K units and you know if we had like three hundred dimensional word vectors if you naively just concatenated them into your that state representation you could only handle like 30 in a row with like a you know an 8k or 9k state size that's only about a sentence or two so we thought that you know maybe it just turned out that models were really limited by their state size and so we pushed on these kind of blocks sparse