Before revision:  In the setting of language models, we show that a comparative analysis of model snapshots before and after an update can reveal a surprising amount of detailed information about the changes in the data used for training before and after the update .
After revision:  In the setting of language models, we show that a differential analysis of language model snapshots before and after an update can reveal a surprising amount of detailed information about the changes in the data used for training before and after the update .