May 27, 2024 · We propose InversionView, which allows us to practically inspect this subset by sampling from a trained decoder model conditioned on activations.

Nov 5, 2024 · We propose InversionView, which allows us to practically inspect this subset by sampling from a trained decoder model conditioned on activations.

Jun 23, 2024 · We propose InversionView, which allows us to practically inspect this subset by sampling from a trained decoder model conditioned on activations.

May 27, 2024 · InversionView aims at providing a direct way of reading out the information encoded in an activation. The technique starts from the intuition ...

Oct 15, 2024 · We propose InversionView, which allows us to practically inspect this subset by sampling from a trained decoder model conditioned on activations ...

May 30, 2024 · The inner workings of neural networks can be better understood if we can fully decipher the information encoded in neural activations. In this ...

Nov 4, 2024 · The InversionView method provides a way to peek inside the "black box" of a neural network and better understand the information encoded in its ...

A Formal Framework for Understanding Length Generalization in Transformers · InversionView: A General-Purpose Method for Reading Information from Neural ...

InversionView: A General-Purpose Method for Reading Information from Neural Activations ... The inner workings of neural networks can be better understood if we ...

InversionView: A General-Purpose Method for Reading Information from Neural Activations. X Huang, M Panwar, N Goyal, M Hahn. arXiv preprint arXiv:2405.17653 ...