README.md

metadata

title: LarQL Vindex Viewer
emoji: 🔬
colorFrom: purple
colorTo: blue
sdk: static
pinned: true
license: cc-by-nc-4.0
short_description: Interactive viewer for LarQL transformer vindexes

LarQL Vindex Viewer

Interactive visualization of the SVD-decomposed feature structure of nine open-weight transformers, built from the Divinci-AI vindex collection.

Two views, both live:

• 3D cylinder (default) — each model is a column of layer rings; feature points spiral around each ring colored by circuit stage (broadcast → domain → entity → prediction).
• 2D circuit (🔌 2D Circuit button or ?view=flat) — layers as horizontal rows with inter-layer edges between top features, network-style.

Compare mode (⇌ Compare) renders any two models side-by-side. The default pair (Qwen3-8B vs Bonsai b1.58 1-bit) is the headline visual: organized rings vs scattered dissolution cloud, the same data that drives Paper 1's 1-bit dissolution claim (var@64 ≈ 0.85 for fp16 vs ≈ 0.10 for 1-bit).

Entity search (🔍 toolbar input or ?q=paris) — type a token, see which features it activates across the model's depth. The Paris→capital match on Gemma 4 E2B is the LarQL Gate-3 result that Post 2 in our blog series unpacks.

Demo (▶ Demo) — 12-second scripted tour: build → orbit → reveal compare mode → tagline.

URL params: ?model=, ?view=flat, ?autoplay, ?q=. Combine freely.

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Background

A vindex is a transformer's weights decompiled into a queryable feature database. The viewer renders the top-64 SVD feature directions per layer — the directions that absorb ~85% of the down-projection matrix's variance in fp16 models and ~10% (near-Marchenko-Pastur random) in 1-bit models.

Full details, papers, and the LarQL toolchain: huggingface.co/Divinci-AI · github.com/Divinci-AI