The 'Finding Neurons in a Haystack' Initiative at MIT, Harvard, and Northeastern University Employs Sparse Probing - MarkTechPost
marktechpost.comSubmitted by marktechpost9390 in science
It is common to think of neural networks as adaptable 'feature extractors' that learn by progressively refining appropriate representations from initial raw inputs. So, the question arises: what characteristics are being represented, and in what way? To bette…