Using MSM to investigate models' generalization and alignment strategies

The MSM method can empirically examine which model specifications or model constitutions yield the best generalization after alignment training. Specifying rules is partially effective, but results may improve if the values supporting the rules are explained or if more detailed sub-rules are introduced, which can influence model design and training.