how to get all three hidden layers filter

Great implementation. 
I run DAE_1500_SGD.py file. First with "train" option to train the DAE and then with "predict" option to output prediction. Looks like the output in "dumps" folder is only **one**  hidden layer with 1500 vector. The original implementation use all three layer 1500*3=4500 and the predictor_dae.py also use 4500 input layer. Which step I missed?
Thanks.
