AlphaZero paper which introduced the engine which allegidly outperformed stockfish mentioned the following:
These programs evaluate positions using features handcrafted by human grandmasters and carefully tuned weights, combined with a high-performance alpha-beta search that expands a vast search tree using a large number of clever heuristics and domain-specific adaptations.
In particular I am interested in a claim about features handcrafted by human grandmasters. The paper didn't provide any examples, neither it references anything here. To make the question less ambiguous, let's narrow the scope of programs to just a couple of best performing families of engines (stockfish, sugar, komodo, houdini)
So my question is: what kind of hand-crafted features do top performing family of engines use to evaluate a position?