nrimsky / InfluenceFunctionsLinks
Implementation of Influence Function approximations for differently sized ML models, using PyTorch
☆15Updated 2 years ago
Alternatives and similar repositories for InfluenceFunctions
Users that are interested in InfluenceFunctions are comparing it to the libraries listed below
Sorting:
- PyTorch and NNsight implementation of AtP* (Kramar et al 2024, DeepMind)☆19Updated 8 months ago
- ☆28Updated 7 months ago
- Code Release for "Broken Neural Scaling Laws" (BNSL) paper☆59Updated last year
- ☆54Updated 2 years ago
- ☆29Updated 2 years ago
- Investigating the generalization behavior of LM probes trained to predict truth labels: (1) from one annotator to another, and (2) from e…☆28Updated last year
- Code and Data Repo for the CoNLL Paper -- Future Lens: Anticipating Subsequent Tokens from a Single Hidden State☆18Updated last year
- Sparse and discrete interpretability tool for neural networks☆63Updated last year
- Sparse Autoencoder Training Library☆54Updated 4 months ago
- The repository contains code for Adaptive Data Optimization☆25Updated 9 months ago
- Landing page for MIB: A Mechanistic Interpretability Benchmark☆19Updated last month
- ☆45Updated last year
- Interpretating the latent space representations of attention head outputs for LLMs☆34Updated last year
- Code to reproduce key results accompanying "SAEs (usually) Transfer Between Base and Chat Models"☆12Updated last year
- 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
- ☆23Updated 7 months ago
- ☆61Updated 3 years ago
- Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)☆81Updated 2 years ago
- Official code repo for paper "Great Memory, Shallow Reasoning: Limits of kNN-LMs"☆23Updated 4 months ago
- Code for the ICLR 2024 paper "How to catch an AI liar: Lie detection in black-box LLMs by asking unrelated questions"☆72Updated last year
- Data for "Datamodels: Predicting Predictions with Training Data"☆97Updated 2 years ago
- ☆15Updated last year
- Simple and scalable tools for data-driven pretraining data selection.☆27Updated 3 months ago
- Implementation of the BatchTopK activation function for training sparse autoencoders (SAEs)☆47Updated last month
- ☆36Updated 2 years ago
- ☆44Updated 10 months ago
- Evaluate interpretability methods on localizing and disentangling concepts in LLMs.☆54Updated 11 months ago
- This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…☆38Updated 2 years ago
- ☆20Updated last year
- Code for "Tracing Knowledge in Language Models Back to the Training Data"☆39Updated 2 years ago