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Collections including paper arxiv:2408.05147

🔍 Daily Picks in Interpretability & Analysis of LMs

Outstanding research in interpretability and evaluation of language models, summarized

Towards scientific discovery with dictionary learning: Extracting biological concepts from microscopy foundation models

Paper • 2412.16247 • Published 23 days ago • 1
Inferring Functionality of Attention Heads from their Parameters

Paper • 2412.11965 • Published 26 days ago • 2
LatentQA: Teaching LLMs to Decode Activations Into Natural Language

Paper • 2412.08686 • Published Dec 11, 2024 • 1
Training Large Language Models to Reason in a Continuous Latent Space

Paper • 2412.06769 • Published Dec 9, 2024 • 71

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 146
Orion-14B: Open-source Multilingual Large Language Models

Paper • 2401.12246 • Published Jan 20, 2024 • 12
MambaByte: Token-free Selective State Space Model

Paper • 2401.13660 • Published Jan 24, 2024 • 53
MM-LLMs: Recent Advances in MultiModal Large Language Models

Paper • 2401.13601 • Published Jan 24, 2024 • 45

Papers - Text - SAE - Sparse Autoencoders

Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models

Paper • 2411.14257 • Published Nov 21, 2024 • 9
Scaling and evaluating sparse autoencoders

Paper • 2406.04093 • Published Jun 6, 2024 • 3
Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2

Paper • 2408.05147 • Published Aug 9, 2024 • 38
Disentangling Dense Embeddings with Sparse Autoencoders

Paper • 2408.00657 • Published Aug 1, 2024 • 1

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, 2024 • 3
Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models

Paper • 2403.19647 • Published Mar 28, 2024 • 3
Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2

Paper • 2408.05147 • Published Aug 9, 2024 • 38

Papers I want to read

Papers in my to-read list

RLHF Workflow: From Reward Modeling to Online RLHF

Paper • 2405.07863 • Published May 13, 2024 • 66
Chameleon: Mixed-Modal Early-Fusion Foundation Models

Paper • 2405.09818 • Published May 16, 2024 • 127
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models

Paper • 2405.15574 • Published May 24, 2024 • 53
An Introduction to Vision-Language Modeling

Paper • 2405.17247 • Published May 27, 2024 • 87

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

Paper • 2402.15627 • Published Feb 23, 2024 • 34
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

Paper • 2402.16822 • Published Feb 26, 2024 • 15
FuseChat: Knowledge Fusion of Chat Models

Paper • 2402.16107 • Published Feb 25, 2024 • 36
Multi-LoRA Composition for Image Generation

Paper • 2402.16843 • Published Feb 26, 2024 • 28

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 • 10

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