I have a similar use case as yours but I couldn't find any way to export a notebook without its outputs as a dbc or ipython file.

What worked for me is to export the notebook as a source file, which creates a .py file. Then I import the .py file back into databricks and its interpreted as a regular notebook. I fork off my experimentation using this new notebook.