In a multi-layer transformer model adapted for prefix-based tuning, the input to any given layer L is formed by prepending a set of layer-specific trainable vectors (the 'prefix') to the sequence representation from the previous layer. After all computations within layer L are finished, what is the precise composition of the input sequence for the next layer, L+1?

A single layer in a multi-layer model has been adapted for a tuning method where a set of trainable vectors (a 'prefix') is used. Arrange the following steps to accurately describe the complete data flow from the moment data enters this single layer until it is passed to the next.

Multi-Layer Input Composition in Prefix-Tuning