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Comment on TinyLoRA – Learning to Reason in 13 Parameters

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It's not "13 parameters to reason", they just rotated the full 8B parameter space in 13 dimensions and found a rotation that was still able to reason.

Depending on the latent structure, it's possible a nice rotation that would be perfect for some one specific problem, but you still got to search for it, and it's not a guarantee to exist.

But it's a nice step towards LLM parameter-space interpretability.

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