Proven feature packs for a subject model, each shipped row with an evidence report.
Features are trained and tested before they appear in the catalog. We use sparse dictionaries (SAEs, transcoders, and crosscoders) on a subject checkpoint. Only features that pass causal tests ship.
Authenticate with a session cookie or an API key from your profile (Authorization: Api-Key <key>). Team-scoped under /a/<team_slug>/api/:
GET /a/<team>/api/pack/ — catalog (no direction vectors)POST /a/<team>/api/steer/ — try a feature: {"feature_id", "alpha", "prompt"}GET /a/<team>/api/reports/<id>/ — evidence report
OpenAPI: /api/schema/swagger-ui/. Plan limits: see Pricing.
curl -s -H "Authorization: Api-Key YOUR_KEY" \
https://zytheris.ca/a/YOUR_TEAM/api/pack/
A label is not proof. A feature ships as proven only if intervening on it caused the hypothesized effect under the tests we ran. Trying it on a new prompt in the app does not replace that report.
Weights do not go through the website. Request a custom pack with a public Hugging Face ID, a gated repo, or private access under an agreement. Model size is not capped; we provision GPUs. We pull the checkpoint in the lab, train and test offline, then import the export into your team workspace. Do not email weight files.
We do not guarantee that any feature will pass. If none do, the workspace still gets the evidence report (a true negative). The quote includes one re-run on an agreed scope change. Thresholds are not lowered after the fact to invent a catalog.
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