Introduces a causal intervention framework with new metrics for mechanistic interpretability of VAEs and reports empirical findings from extensive experiments on multiple models and datasets.
On the transfer of inductive bias from simulation to the real world: A new disentanglement dataset
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A Multi-Level Causal Intervention Framework for Mechanistic Interpretability in Variational Autoencoders
Introduces a causal intervention framework with new metrics for mechanistic interpretability of VAEs and reports empirical findings from extensive experiments on multiple models and datasets.