Thank you.

I’ve tried bottlenecks from 50 percent of original features to 150 percent. The issue persists.
The data is rather “unpredictable”. The paper I drew this architecture from advertises it as being excellent at reconstructing unpredictable sequences as compared to standard LSTM autoencoders. Perhaps they were too boastful?
I’ll try checking for variation. Thank you.