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.
Auto-encoding variational Bayes,
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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.