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The Building Blocks of Interpretability

In this article, we treat existing interpretability methods as fundamental and composable building blocks for rich user interfaces. We find that these disparate techniques now come together in a unified grammar, fulfilling complementary roles in the resulting interfaces. Moreover, this grammar allows us to systematically explore the space of interpretability interfaces, enabling us to evaluate whether they meet particular goals. We will present interfaces that show what the network detects and explain how it develops its understanding, while keeping the amount of information human-scale. For example, we will see how a network looking at a labrador retriever detects floppy ears and how that influences its classification.

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