Main Tutorials#

Get Started
Predict
Control
Understand

Welcome! Follow the tutorials below to learn how to conduct interpretability research with nnsight.

Walkthrough

Learn the basics

notebooks/tutorials/get_started/walkthrough.ipynb
Access LLMs

Use our hosted models

notebooks/tutorials/get_started/start_remote_access.ipynb
Chat Templates

Format instructions with templates

notebooks/tutorials/get_started/chat_templates.ipynb
Logit Lens

Decode activations

notebooks/tutorials/probing/logit_lens.ipynb
Diffusion Lens

Explore diffusion model text embedding

notebooks/tutorials/probing/diffusion_lens.ipynb
Dictionary Learning

Sparse autoencoders

notebooks/tutorials/steering/dict_learning.ipynb
LoRA

Lightweight model adapter

notebooks/tutorials/steering/LoRA_tutorial.ipynb
Causal Models

Intro to causal inference

notebooks/tutorials/causal_mediation_analysis/causal_models_intro.ipynb
Causal Mediation Analysis I

Use causal mediation to explain AI

notebooks/tutorials/causal_mediation_analysis/causal_mediation_analysis_i.ipynb
Causal Mediation Analysis II

Find causal mediators in LLMs

notebooks/tutorials/causal_mediation_analysis/causal_mediation_analysis_ii.ipynb
Activation Patching

Causal intervention

notebooks/tutorials/causal_mediation_analysis/activation_patching.ipynb
Attribution Patching

Approximate patching

notebooks/tutorials/causal_mediation_analysis/attribution_patching.ipynb
DAS

Localizing causal variables

notebooks/tutorials/causal_mediation_analysis/DAS.ipynb

Get Started

Predict

Control

Understand