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Causal masking allow model to learn implicit positional embeddings. The meme that a transformer block is permutation invariant is not true.


And adding to that, there is also the recurrent state in the Kimi Delta Attention. I wouldn't call it position information but more sth like "position sensitivity"


The paper says:

"Kimi K3 uses no explicit positional embedding (NoPE), and instead encodes positional information implicitly through the recurrent gating and decay mechanism of KDA."




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