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Collections including paper arxiv:2403.07809

Papers - ICL - Training - Distributed Alignment Search

pyvene: A Library for Understanding and Improving PyTorch Models via Interventions

Paper • 2403.07809 • Published Mar 12 • 1

Papers - ICL - Locating Early and Late Fact Associations

pyvene: A Library for Understanding and Improving PyTorch Models via Interventions

Paper • 2403.07809 • Published Mar 12 • 1

Papers - Training - Interventions - Understanding

pyvene: A Library for Understanding and Improving PyTorch Models via Interventions

Paper • 2403.07809 • Published Mar 12 • 1

Papers - Pr(Ai)2R Group

pyvene: A Library for Understanding and Improving PyTorch Models via Interventions

Paper • 2403.07809 • Published Mar 12 • 1

Papers - XAI - Framework - pyvene

pyvene: A Library for Understanding and Improving PyTorch Models via Interventions

Paper • 2403.07809 • Published Mar 12 • 1

Papers - XAI - Induction Head - Phase Change - Components

What needs to go right for an induction head? A mechanistic study of in-context learning circuits and their formation

Paper • 2404.07129 • Published Apr 10 • 3
pyvene: A Library for Understanding and Improving PyTorch Models via Interventions

Paper • 2403.07809 • Published Mar 12 • 1

Papers - Emergent Properties - ICL - Induction Heads

Additional reading: https://transformer-circuits.pub/2021/framework/index.html

In-context Learning and Induction Heads

Paper • 2209.11895 • Published Sep 24, 2022 • 2
What needs to go right for an induction head? A mechanistic study of in-context learning circuits and their formation

Paper • 2404.07129 • Published Apr 10 • 3
pyvene: A Library for Understanding and Improving PyTorch Models via Interventions

Paper • 2403.07809 • Published Mar 12 • 1

Papers - ICL - Induction Circuit

Two layer induction heads

What needs to go right for an induction head? A mechanistic study of in-context learning circuits and their formation

Paper • 2404.07129 • Published Apr 10 • 3
In-context Learning and Induction Heads

Paper • 2209.11895 • Published Sep 24, 2022 • 2
pyvene: A Library for Understanding and Improving PyTorch Models via Interventions

Paper • 2403.07809 • Published Mar 12 • 1

Papers - ICL - Induction Head

What needs to go right for an induction head? A mechanistic study of in-context learning circuits and their formation

Paper • 2404.07129 • Published Apr 10 • 3
In-context Learning and Induction Heads

Paper • 2209.11895 • Published Sep 24, 2022 • 2
pyvene: A Library for Understanding and Improving PyTorch Models via Interventions

Paper • 2403.07809 • Published Mar 12 • 1

Papers - University - Stanford University

BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text

Paper • 2403.18421 • Published Mar 27 • 21
Long-form factuality in large language models

Paper • 2403.18802 • Published Mar 27 • 23
stanford-crfm/BioMedLM

Text Generation • Updated Mar 28 • 3.52k • 370
Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Paper • 2305.18290 • Published May 29, 2023 • 37

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