OpenInterpretability
  • Ekbasis
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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.

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Ekbasis
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© 2026 OpenInterpretability — Apache-2.0 for code, CC-BY 4.0 for docs.Built in public.
Back home
Q3 2026

Academy

Onboard the world. From "what is an activation" to "discover a new feature" in 90 minutes.

Education-first, not PhD-gated. The student in Mumbai on a phone should finish their first Expedition in 15 minutes. Gamified discovery. Olympics-style leaderboards. Reproducibility that lasts forever.

Tools

Expeditions

Q3

Interactive tutorials with validated checkpoints and badge awards. 12 guided paths from zero to contributor.

Preview

Interp Olympics

Q3

Monthly feature-hunting challenges with leaderboards and prizes. Kaggle for mechanistic interpretability.

Preview

Live Lectures

Q3

Researchers lecture inside the tool. Real-time Q&A. The interpretability course that runs in the same browser as the data.

Preview

Reproducibility Vault

Q3

Every trace, circuit, recipe, and notebook hashed forever. "This visualization I made in 2026 still renders identical in 2030." Free forever.

Preview

The student in Mumbai, on a phone, in 2 minutes.

"discovers a hallucination feature in GPT-5 that nobody has seen — publishes a mini-paper embedded in the platform — and has three DeepMind researchers commenting in real time."

That's the north star for Academy. Everything — the 15-minute first Expedition, the mobile-first layout, the Olympics leaderboard, the Reproducibility Vault that never decays — is optimized toward that one scene.

12 Expeditions

Guided interactive tutorials, from "what is a residual stream?" to "discover an original feature in Qwen3.6." Validated checkpoints, badge awards.

Monthly Olympics

Challenge + leaderboard + prizes. "Find the feature that makes Qwen3.6 hallucinate on medical QA." Kaggle for mech interp.

Repro Vault

Every artifact hashed, pinned, and served forever. The interpretability reproducibility crisis — solved.

Lecture or contribute an Expedition?

We're building an Expedition author SDK. If you publish interpretability work and want a tutorial that lets readers re-derive your result interactively, email us.

Become a contributor