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)☆20Updated 11 months ago
- Code and Data Repo for the CoNLL Paper -- Future Lens: Anticipating Subsequent Tokens from a Single Hidden State☆20Updated last month
- ☆56Updated 2 years ago
- Sparse Autoencoder Training Library☆56Updated 7 months ago
- Simple and scalable tools for data-driven pretraining data selection.☆29Updated 6 months ago
- Code Release for "Broken Neural Scaling Laws" (BNSL) paper☆59Updated 2 years ago
- Sparse and discrete interpretability tool for neural networks☆65Updated last year
- Gemstones: A Model Suite for Multi-Faceted Scaling Laws (NeurIPS 2025)☆30Updated 2 months ago
- Code to reproduce key results accompanying "SAEs (usually) Transfer Between Base and Chat Models"☆13Updated last year
- 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
- Landing page for MIB: A Mechanistic Interpretability Benchmark☆22Updated 4 months 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 month
- ☆16Updated last year
- ☆30Updated 2 years ago
- Code for the ICLR 2024 paper "How to catch an AI liar: Lie detection in black-box LLMs by asking unrelated questions"☆71Updated last year
- Official code repo for paper "Great Memory, Shallow Reasoning: Limits of kNN-LMs"☆24Updated 7 months ago
- ☆36Updated 3 years ago
- ☆36Updated 2 years ago
- ☆23Updated 10 months ago
- Code for "Tracing Knowledge in Language Models Back to the Training Data"☆39Updated 2 years ago
- A library for efficient patching and automatic circuit discovery.☆82Updated 5 months ago
- The accompanying code for "Transformer Feed-Forward Layers Are Key-Value Memories". Mor Geva, Roei Schuster, Jonathan Berant, and Omer Le…☆99Updated 4 years ago
- ☆32Updated last year
- ☆63Updated 3 years ago
- This is the official implementation for our ACL 2024 paper: "Causal Estimation of Memorisation Profiles".☆23Updated 8 months ago
- ☆95Updated last year
- ☆27Updated 2 years ago
- The Official Repository for "Bring Your Own Data! Self-Supervised Evaluation for Large Language Models"☆107Updated 2 years ago
- Redwood Research's transformer interpretability tools☆14Updated 3 years ago
- Understanding how features learned by neural networks evolve throughout training☆40Updated last year