anthropics / jacobian-lens

Companion code for the global workspace interpretability paper

meta-pytorch / captum

Model interpretability and understanding for PyTorch

TransformerLensOrg / TransformerLens

A library for mechanistic interpretability of GPT-style language models

frgfm / torch-cam

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM, Finer-CAM, LeGrad, RefineCAM)

ndif-team / nnsight

The nnsight package enables interpreting and manipulating the internals of deep learned models.

mmschlk / shapiq

Shapley Values and Shapley Interactions for Machine Learning

deel-ai / xplique

👋 Xplique is a Neural Networks Explainability Toolbox

kochlisGit / ProphitBet-Soccer-Bets-Predictor

ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.

zengxiao-he / tessera

From teacher to tiles — a from-scratch LLM distillation & serving engine: custom Triton/CUDA kernels, FSDP distillation, paged-KV continuous batching, speculative decoding, a Rust gateway, a JAX oracle, and interpretability tooling.

lordx64 / phantom-kv

Refusal removal as a loadable KV-cache graft — zero weight modification, no refusal-direction projection, fully reversible.

MirroS-Lab / S-Space

S-Space: Exploring Spatial Workspace in Multimodal Models

fulvian / engraft-ngram

ENGRAFT: write facts into an LLM's n-gram (Engram) memory table as a removable overlay: 100 facts in a 9 MB file, no weights touched, verified on llama.cpp GGUF (Qwen3.8-Flash-Next).

decoderesearch / interp-engine

Fast, standardized, and easy-to-use interpretability engine.

aimo-interp / getting-started

A minimal submission bundle for AIMO Interpretability Challenge