Corresponding Author; 
inductive bias;transformers;encoder;decoder;natural language;large language model;probabilistic graphical models;belief propagation;message passing;open universe;probabilistic program;probabilistic grammar;perturbation convergence experiment;machine learning identifiability;controllability;alignment;neurodiversity;concept learning;generative models
Inductive Transformers: How Large Language Models Form Concepts, And How to Make Them Even Better At It