Checklist 1. For all authors (a)

Neural Information Processing Systems 

Do the main claims made in the abstract and introduction accurately reflect the paper's Did you discuss any potential negative societal impacts of your work? If you ran experiments... (a) Did you include the code, data, and instructions needed to reproduce the main experimental results (either in the supplemental material or as a URL)? [Y es] Link provided Did you specify all the training details (e.g., data subsets, hyperparameters, how they Did you report error bars (e.g., with respect to the random seed after running experiments multiple times)? Did you include the total amount of compute and the type of resources used (e.g., type Did you include any new assets either in the supplemental material or as a URL? [No] Did you discuss whether and how consent was obtained from people whose data you're If you used crowdsourcing or conducted research with human subjects... (a) All experiments were run on a GeForce RTX 2080 Ti GPU. The model used in the toy experiment follows the one used in Belinkov et al. (2019b). These representations are concatenated and passed to a one-hidden-layer feed-forward network for binary classification.