Identifying dropped features by AutoML after training

Apparently AutoML automatically will drops features during training if needed.

Is there a way to retrieve the actual list of features that was included in the final model, e.g. determine which features were dropped and didn't improve the accuracy of the model?

When I inspect the final model, the OutputSchema tends to always include all the features based on the initial training data.