OpenInterpretability
  • Ekbasis
  • Guide
  • Research
  • Lab
  • Tools
  • Notes
  • Registry
  • Manifesto
Download the modelDownload
OpenInterpretability

Ekbasis: know what an action will do before your agent runs it. From an independent lab for AI-agent safety. Open weights, Apache-2.0: download it and run it yourself.

Download the model
Ekbasis
  • Getting started
  • Download (Hugging Face)
  • For agents (agents.md)
  • Results and models
  • Client and CLI
  • Cookbook
The lab
  • About the lab
  • Open tools
  • Observatory
  • ProbeBench
  • InterpScore
  • Academy
Research
  • Manifesto
  • Roadmap
  • Papers & posts
  • Docs
Community
  • GitHub org
  • Notebooks
  • SDK (openinterp)
  • HuggingFace
© 2026 OpenInterpretability — Apache-2.0 for code, CC-BY 4.0 for docs.Built in public.
Back home
Q1 2026 · Live

Observatory

See the model thinking, feature by feature, token by token.

The narrative layer Neuronpedia lacks. Scrub a prompt through the residual stream, watch features ignite, click into circuits, compare reasoning across models.

Tools

Trace Theater

Live

Cinematic timeline. Scrub token-by-token, features ignite in real-time, intervention slider with live counterfactuals. Exportable as video.

Open

Circuit Canvas

Live

Figma-style attribution graphs. Nodes = features, edges = strength. Click a node, see the circuit that produced the output. AtP* + Sparse Feature Circuits pipeline.

Open

Atlas

Q2

Google Scholar for features. Cross-model semantic search: find "overconfidence" and see matches across Qwen, Gemma, Llama, Claude. The Rosetta Stone.

Preview

Compare

Q2

N-way diff. Same prompt in four models side-by-side; or four prompts in one model. Heatmap of divergence. Killer for reasoning-model evaluation.

Preview

Backing SAEs

Every trace, circuit, and atlas entry is grounded in a publicly-trained sparse autoencoder. All artifacts on HuggingFace, all training recipes reproducible.

Qwen/Qwen3.6-27B
Dense reasoning-tuned · 3 layers in parallel (L11/L31/L55) · d_sae 65,536 · var_exp 0.843
HF
Qwen/Qwen3.5-4B
Hybrid Gated DeltaNet · d_sae 40,960 · var_exp 0.866
HF
Google/Gemma-4-E4B
Ensemble MoE · d_sae 32,768 · var_exp 0.939
HF
Qwen/Qwen3.6-35B-A3B
Triple-hybrid (MoE + GDN + Gated Attention) · d_sae 32,768 · var_exp 0.835
HF