Before revision:  (ii) Use of GroupNorm ensures rank of activationsis at least \Omega(\sqrt{\frac{\text{width ;
After revision:  (ii) use of GroupNorm can ensure informative forward propagation, with different samples being assigned dissimilar activations, but increasing group size results in increasingly indistinguishable activations for different samples, explaining slow convergence speed in models with LayerNorm ;