Thx for the pointers.
I am looking for guidance on how to optimize the text SDR enocoding for optimal text retrieval properties. My intuition is: maximize entropy of the SDR cells aka every cell in the SDR should represent very unique / niche semantic concepts and have at best no overlapping words they represent (even if they are close neighbors).
Just found these related threads: