Datasets of game levels are increasingly used, for example as training data for PCGML algorithms, outputs from exhaustive PCG, or pre-computed parts of larger levels. However, tools for exploring these datasets are limited. In this work we describe an interactive tool for visual exploration of large tile level datasets. The level explorer currently supports level elements including both image- and text-based tile grids, path graph edges, and string tags. The level explorer visualizes the levels and allows the user to select elements that they would like to be present, and filters the dataset to find all levels consistent with the user’s selection. We also describe an efficient encoding scheme used for level filtering, along with example cases of several games, demonstrating handling of datasets consisting of up to millions of levels.