In a mechanism that calculates attention, scores are computed by taking the dot product of a query vector with a set of key vectors. These scores are then scaled by dividing by the square root of the dimension of the vectors (e.g., $\sqrt{d}$) before being passed to a Softmax function. What is the most likely adverse consequence of removing this scaling step, particularly when the vector dimension is large?

A computational mechanism is used to determine the relevance of different parts of an input sequence to a specific element. This involves several steps to produce a final output vector. Arrange the following computational steps in the correct chronological order.

Attention Mechanism Output Analysis