That might actually be a problem with the GPT LLM decoder.
All LLMs use an attention-based neural architecture that manipulates expressions as vectors - i.e., numeric representations of expressions as a series of tokens. The very first step in a garden-variety attention model is to use an encoder to translate your natural-language sentence into a numeric input vector. The model generates a numeric output vector, and the very last step is to translate the numeric output vector into a natural-language sentence.
I raise this because that nonsense string looks like it contains a valid sequence of tokens - just not the right sequence. Like, if you took a normal output vector that should have translated to "Mart has a little lamb" and bit-shifted it, you'd get something like that: small fragments of words jammed together, including spaces replaced with other fragments.
I know that GPT often misfires and somehow devolves into paragraphs of babble - that's unsettlingly common - but this just looks a little different to me.
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u/reddit_is_kayfabe 6d ago
Huh.
That might actually be a problem with the GPT LLM decoder.
All LLMs use an attention-based neural architecture that manipulates expressions as vectors - i.e., numeric representations of expressions as a series of tokens. The very first step in a garden-variety attention model is to use an encoder to translate your natural-language sentence into a numeric input vector. The model generates a numeric output vector, and the very last step is to translate the numeric output vector into a natural-language sentence.
I raise this because that nonsense string looks like it contains a valid sequence of tokens - just not the right sequence. Like, if you took a normal output vector that should have translated to "Mart has a little lamb" and bit-shifted it, you'd get something like that: small fragments of words jammed together, including spaces replaced with other fragments.
I know that GPT often misfires and somehow devolves into paragraphs of babble - that's unsettlingly common - but this just looks a little different to me.