harish-kamath / rqaeLinks
Residual Quantization Autoencoder, used for interpreting LLMs
☆13Updated 8 months ago
Alternatives and similar repositories for rqae
Users that are interested in rqae are comparing it to the libraries listed below
Sorting:
- Minimum Description Length probing for neural network representations☆18Updated 8 months ago
- ☆52Updated last year
- Code and Data Repo for the CoNLL Paper -- Future Lens: Anticipating Subsequent Tokens from a Single Hidden State☆19Updated last year
- Code Release for "Broken Neural Scaling Laws" (BNSL) paper☆59Updated last year
- ☆44Updated 10 months ago
- ☆43Updated 3 years ago
- Codes and files for the paper Are Emergent Abilities in Large Language Models just In-Context Learning☆33Updated 8 months ago
- Code for the note "NF4 Isn't Information Theoretically Optimal (and that's Good)☆21Updated 2 years ago
- This repository contains the code used for the experiments in the paper "Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity…☆28Updated last year
- Google Research☆46Updated 2 years ago
- ☆36Updated 2 years ago
- Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Fl…☆75Updated last year
- A library to create and manage configuration files, especially for machine learning projects.☆79Updated 3 years ago
- Engineering the state of RNN language models (Mamba, RWKV, etc.)☆32Updated last year
- A toolkit for scaling law research ⚖☆51Updated 8 months ago
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"☆84Updated 10 months ago
- ☆20Updated 2 months ago
- Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model☆44Updated last year
- ☆54Updated 2 years ago
- ☆12Updated 3 years ago
- Repo for ICML23 "Why do Nearest Neighbor Language Models Work?"☆59Updated 2 years ago
- PyTorch and NNsight implementation of AtP* (Kramar et al 2024, DeepMind)☆19Updated 8 months ago
- ☆68Updated last month
- Triton Implementation of HyperAttention Algorithm☆48Updated last year
- ☆39Updated last year
- Sparse and discrete interpretability tool for neural networks☆63Updated last year
- This is the official implementation for our ACL 2024 paper: "Causal Estimation of Memorisation Profiles".☆23Updated 6 months ago
- ☆29Updated 2 years ago
- Simple and efficient pytorch-native transformer training and inference (batched)☆78Updated last year
- ☆22Updated last month