A language model is processing an input sequence of text to predict the most likely next word. Arrange the following key computational stages of its forward pass in the correct chronological order, from initial input to final output.

A developer is debugging a Transformer-based language model and observes a specific issue: for any given input sequence, the model produces a valid probability distribution for the next token, but the predicted token seems to have no contextual relationship with the preceding tokens. For example, after the input 'The dog chased the...', the model assigns a high probability to the word 'airplane'. Which component of the forward pass is most likely failing to perform its function, leading to this loss of context?

Transformer Model Output Anomaly