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> Those layers have different representation space. Do they? Interpretability techniques like the Logit Lens [1] wouldn't work if this were the case. That auth
by jsenn 2y ago
> Those layers have different representation space.
Do they? Interpretability techniques like the Logit Lens [1] wouldn't work if this were the case. That author found that at least for GPT-2, the network almost immediately transforms its hidden state into a "logitable" form: you can unproject the hidden state of any layer to see how that layer incrementally refines the next token prediction.
[1]: https://www.lesswrong.com/posts/AcKRB8wDpdaN6v6ru/interpreting-gpt-the-logit-lens https://www.lesswrong.com/posts/AcKRB8wDpdaN6v6ru/interpreti...