I think you've done a great explanation expansion except I believe it's ALiBi ("Attention with Linear Biases Enables Input Length Extrapolation"), a method of positional encoding (i.e. telling the Transformer model how much to weight a distant token when computing the current output token). This has been used on various other LLMs[2].
[1]: https://arxiv.org/abs/2108.12409
[2]: n.b. Ofir Press is co-creator of ALiBi https://twitter.com/OfirPress/status/1654538361447522305