How OpenAI arrived at 307,200 neurons in GPT-2?

for the GPT-2 Medium architecture:

Layers: 24

Hidden Size: 1024

Attention Heads: 16

Using the formulas:

Neurons = Hidden Size * Attention Heads * Layers

Parameters = Attention Heads * (Hidden Size^2 / Attention Heads) * Layers

Plugging in the values:

Neurons = 1024 * 16 * 24 = 393,216

Parameters = 16 * (1024^2 / 16) * 24 = 345,471,744

Therefore, for the GPT-2 Medium model, the number of neurons is 393,216, and the number of parameters is 345,471,744.

Neurons = (H * √L) * (A/2)

Parameters = A * (H^2 / A) * L

Is that OK?