Alternatives and similar repositories for InfluenceFunctions

Users that are interested in InfluenceFunctions are comparing it to the libraries listed below

• ethancaballero / broken_neural_scaling_laws
  Code Release for "Broken Neural Scaling Laws" (BNSL) paper
  ☆59Updated 2 years ago
• taufeeque9 / codebook-features
  Sparse and discrete interpretability tool for neural networks
  ☆64Updated last year
• guy-dar / embedding-space
  ☆57Updated 2 years ago
• mcleish7 / gemstone-scaling-laws
  Gemstones: A Model Suite for Multi-Faceted Scaling Laws (NeurIPS 2025)
  ☆32Updated 4 months ago
• ckkissane / sae-transfer
  Code to reproduce key results accompanying "SAEs (usually) Transfer Between Base and Chat Models"
  ☆13Updated last year
• ApolloResearch / e2e_sae
  Sparse Autoencoder Training Library
  ☆56Updated 9 months ago
• formll / resolving-scaling-law-discrepancies
  ☆20Updated 3 months ago
• abhishekpanigrahi1996 / transformer_in_transformer
  ☆46Updated 2 years ago
• HazyResearch / skill-it
  Skill-It! A Data-Driven Skills Framework for Understanding and Training Language Models
  ☆48Updated 2 years ago
• google-research / jax-influence
  ☆63Updated 4 years ago
• Ping-C / optimizer
  This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…
  ☆40Updated 2 years ago
• KoyenaPal / future-lens
  Code and Data Repo for the CoNLL Paper -- Future Lens: Anticipating Subsequent Tokens from a Single Hidden State
  ☆20Updated 3 months ago
• GSYfate / knnlm-limits
  Official code repo for paper "Great Memory, Shallow Reasoning: Limits of kNN-LMs"
  ☆23Updated 9 months ago
• shauli-ravfogel / rlace-icml
  ☆36Updated 3 years ago
• koayon / atp_star
  PyTorch and NNsight implementation of AtP* (Kramar et al 2024, DeepMind)
  ☆20Updated last year
• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆58Updated 2 years ago
• TristanThrush / perplexity-correlations
  Simple and scalable tools for data-driven pretraining data selection.
  ☆29Updated 7 months ago
• jiahai-feng / binding-iclr
  ☆16Updated last year
• alon-albalak / FLAD
  Few-shot Learning with Auxiliary Data
  ☆31Updated 2 years ago
• Nix07 / finetuning
  This repository contains the code used for the experiments in the paper "Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity…
  ☆30Updated 3 months ago
• EleutherAI / elk-generalization
  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
• LoryPack / LLM-LieDetector
  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
• berlino / seq_icl
  ☆53Updated last year
• explanare / ravel
  Evaluate interpretability methods on localizing and disentangling concepts in LLMs.
  ☆57Updated 3 months ago
• JeanKaddour / NoTrainNoGain
  Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)
  ☆81Updated 2 years ago
• MadryLab / datamodels
  ☆32Updated 2 years ago
• MadryLab / datamodels-data
  Data for "Datamodels: Predicting Predictions with Training Data"
  ☆97Updated 2 years ago
• yidingjiang / ado
  The repository contains code for Adaptive Data Optimization
  ☆32Updated last year
• EleutherAI / features-across-time
  Understanding how features learned by neural networks evolve throughout training
  ☆41Updated last year
• nathanhu0 / CaMeLS
  Codebase for Context-aware Meta-learned Loss Scaling (CaMeLS). https://arxiv.org/abs/2305.15076.
  ☆25Updated 2 years ago