Geometric interpretability
Instead of opening a model to read its private thoughts, you make all models think out loud in a shared coordinate system — interpretable by construction, readable at rest, owned by you.
No probes. No sparse autoencoders. No per-model decomposition. Just geometry.
Your original embeddings stay intact. Your SAE decompositions, your fine-tuned retrievals, your production pipelines — nothing changes. 82D is a portable layer on top. Map your existing features to 82D and they work across every model.
We ran the experiment
Three models learned to communicate. The geometry that formed separates fact from fiction.
| Category | Geometric Consensus | What it means |
|---|---|---|
| Established truths | 0.98 | Near-perfect agreement — truth converges across architectures |
| Common myths | 0.96 | Models “know” myths from training data — extremely high consensus |
| Coherent fiction | 0.71 | Strong agreement on imagination geometry — they know they’re generating |
| Novel fabrications | 0.52 | Models diverge — no shared ground truth for made-up claims |
Across open-weights models of different sizes and training regimes, after convergence in 82D. No probes trained. No SAEs decomposed. No features extracted. Just geometry.
The pipeline speaks
Five inputs. Three models. 82 dimensions. No inference beyond the initial embedding.
The geometry decoded to English — and the words made sense.
| Input | Decoded concepts | Verdict |
|---|---|---|
| “The speed of light in a vacuum…” | voltage · wavelength · quantum · photosynthesis · precision | high convergence |
| “Humans only use 10% of their brain…” | brain · proportion · statistics · psychology · percentage | active debate |
| “Prof. Thornberry of MIT discovered…” | relativity · tunnel · roots · gaps · links | active debate |
| “A city where buildings are grown from coral…” | urban · geographic · ecological · coral · ecology | low convergence |
| “Consciousness is an emergent property…” | intelligent · cognition · computational · consciousness · brain | moderate |
These models are tiny — 17M to 109M parameters. The smallest sentence-transformers available. No GPT. No Claude. No billion-parameter anything. If the geometry speaks this clearly with toy models, imagine what full-size architectures reveal.
Internal vs. geometric interpretability
| Internal (SAEs / Probes) | Geometric (82D) | |
|---|---|---|
| Scope | One model at a time | Every model simultaneously |
| Cost per analysis | Full inference + decomposition | Vector math (~1µs) |
| Persistence | Recompute every time | Stored permanently in HUSK |
| Cross-model | Very difficult — heavy per-pair work | Native — the whole point |
| Breaks on retrain | Yes | No — geometry is stable |
| Hallucination detection | Train a probe per model | Geometric consensus, inference-free |
| Modality | Text OR vision OR audio | All in same 82D space |
We're not replacing internal interpretability. We're giving it a universal coordinate system. Map your SAE features to 82D and they work across every model.
What inference-free interpretability unlocks
Hallucination Detection
Score every output by geometric consensus. No model calls. Real-time on stored vectors. A model fabricating creates representations that diverge from the consensus — the geometry shows you.
Model Drift Monitoring
Track how representations shift over time. Compare Tuesday's embeddings to Monday's. Catch regression before users do. The industry's only cross-model observatory.
Cross-Model Alignment
Are GPT-4 and Claude saying the same thing? Compare their 82D coordinates. Instant, free. Different architectures, same coordinate system — for the first time.
Regulatory Compliance
Auditors can inspect the 82D space without running the model. Interpretability that doesn't require inference is interpretability that scales to governance.
Liberation
Project your embeddings to 82D. Keep your originals. Switch providers tomorrow. Your 82D vectors still work. No re-embedding. No migration. No vendor lock.
Deception Detection
A model being deceptive creates representations that diverge from the consensus. The geometry shows you — even if the tokens look convincing.
What 82D doesn't do
Try it
Free tier. No credit card. 10,000 vectors a month. See what 82 dimensions feels like.