The same behavior does not occur with real numbers for the same model, though. Is there a theoretical reason as to why complex numbers are more prone to exploding gradients?
Also, I’ve tested the same setup with LTSM and GRU and there the cutoff line is around 100, meaning they delay the onset of exploding gradients compared to RNN, but do not prevent it. Same with L2-norm gradient clipping.