Search Results for author:
Found 3 papers, 2 papers with code
Interpreting Neural Networks through the Polytope Lens
Previous mechanistic descriptions have used individual neurons or their linear combinations to understand the representations a network has learned.
GPT-NeoX-20B: An Open-Source Autoregressive Language Model
We introduce GPT-NeoX-20B, a 20 billion parameter autoregressive language model trained on the Pile, whose weights will be made freely and openly available to the public through a permissive license.
Ranked #95 on
Multi-task Language Understanding
on MMLU
(using extra training data)
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Recent work has demonstrated that increased training dataset diversity improves general cross-domain knowledge and downstream generalization capability for large-scale language models.
Ranked #13 on
Language Modelling
on The Pile
