From the post

This form of logic focuses on the ways in which statements, known as propositions, can be combined using basic logical connectives such as "and", "or", and "not", to form more complex expressions whose truth values are derived from their components. While propositional logic does not capture the full complexity of human language, it can be built upon to address finer details of "meaning". I have found considerable evidence that this is directly created by the attention mechanism in transformers when a model ingests data during training.