To catch any elements that somehow slipped through all of the above, I added capturing-phase event listeners as a belt-and-braces fallback:
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Self-attention is required. The model must contain at least one self-attention layer. This is the defining feature of a transformer — without it, you have an MLP or RNN, not a transformer.