Architectural prerequisites versus scaling for specific reasoning behaviors

Ascertain whether specific reasoning behaviors in large language models require architectural prerequisites or instead emerge purely from model scaling.

Background

The paper contrasts training and scaling effects and notes that some reasoning behaviors may depend on architectural features rather than emerge solely from increasing model size.

Resolving this uncertainty would guide architecture design and scaling strategies aimed at eliciting targeted cognitive elements.