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Collections including paper arxiv:2408.05147

Papers I want to read

Papers in my to-read list

about 17 hours ago

RLHF Workflow: From Reward Modeling to Online RLHF

Paper • 2405.07863 • Published May 13 • 67
Chameleon: Mixed-Modal Early-Fusion Foundation Models

Paper • 2405.09818 • Published May 16 • 125
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models

Paper • 2405.15574 • Published May 24 • 52
An Introduction to Vision-Language Modeling

Paper • 2405.17247 • Published May 27 • 84

mechanistic interpretability with sparse autoencoders

A collection of papers that I found useful for learning about using Sparse Autoencoders for finding interpretable features in language models

Sparse Autoencoders Find Highly Interpretable Features in Language Models

Paper • 2309.08600 • Published Sep 15, 2023 • 13
Scaling and evaluating sparse autoencoders

Paper • 2406.04093 • Published Jun 6 • 2
Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models

Paper • 2403.19647 • Published Mar 28 • 3
Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2

Paper • 2408.05147 • Published Aug 9 • 36

MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs

Paper • 2402.15627 • Published Feb 23 • 33
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

Paper • 2402.16822 • Published Feb 26 • 15
FuseChat: Knowledge Fusion of Chat Models

Paper • 2402.16107 • Published Feb 25 • 36
Multi-LoRA Composition for Image Generation

Paper • 2402.16843 • Published Feb 26 • 28

🔍 Daily Picks in Interpretability & Analysis of LMs

Outstanding research in interpretability and evaluation of language models, summarized

A is for Absorption: Studying Feature Splitting and Absorption in Sparse Autoencoders

Paper • 2409.14507 • Published 5 days ago • 1
ContextCite: Attributing Model Generation to Context

Paper • 2409.00729 • Published 26 days ago • 13
Residual Stream Analysis with Multi-Layer SAEs

Paper • 2409.04185 • Published 22 days ago
Amuro & Char: Analyzing the Relationship between Pre-Training and Fine-Tuning of Large Language Models

Paper • 2408.06663 • Published Aug 13 • 15

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 141
Orion-14B: Open-source Multilingual Large Language Models

Paper • 2401.12246 • Published Jan 20 • 10
MambaByte: Token-free Selective State Space Model

Paper • 2401.13660 • Published Jan 24 • 49
MM-LLMs: Recent Advances in MultiModal Large Language Models

Paper • 2401.13601 • Published Jan 24 • 44

MADLAD-400: A Multilingual And Document-Level Large Audited Dataset

Paper • 2309.04662 • Published Sep 9, 2023 • 22
Neurons in Large Language Models: Dead, N-gram, Positional

Paper • 2309.04827 • Published Sep 9, 2023 • 16
Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs

Paper • 2309.05516 • Published Sep 11, 2023 • 9
DrugChat: Towards Enabling ChatGPT-Like Capabilities on Drug Molecule Graphs

Paper • 2309.03907 • Published May 18, 2023 • 8

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