Artifact contract
A logit lens, linear probe, activation patch, causal trace, or sparse autoencoder investigation with negative controls and an intervention claim.
This interpretability artifact is classified as recipe contract. Workload guidance: attach to a specific failure before running.
Build
Start from frozen success and failure traces plus a falsifiable representation hypothesis.
Modify
Change layer, token position, feature, or control while keeping the behavioral gate fixed.
Tune
Tune probe or SAE settings on train data; reserve separate examples for the causal claim.
Prove
Require random controls, replay stability, and a predicted behavior change under intervention.
Package
Retain activations or hashes, probe weights, controls, intervention results, limitations, and recipe decision.
CLI surface
- Run: posttrainllm experimental tuned-lens
- Run: posttrainllm experimental linear-probe
- Run: posttrainllm experimental causal-trace
- Run: posttrainllm experimental sae
How to read this dossier
This canonical page separates the retained repository decision from the material that informed it. A source may describe an external claim, historical measurement, local observation, or planned procedure; those evidence classes are not interchangeable. Follow the provenance links before reusing a number or method.
Status and disposition describe what PostTrainLLM retained when this record was indexed. They are not a live product promise, a newly run benchmark, or permission to restart historical work. Unknown or unmeasured fields remain unknown rather than being treated as zero.
To reuse the record, first name the exact claim you need and trace it to the linked source. Then check whether the original environment, model revision, data split, evaluator, hardware, and budget match the proposed use. If they do not, treat the record as a hypothesis or design reference and run the smallest fresh comparison that can falsify it. Preserve negative outcomes and regressions beside any improvement; a local win on one slice does not silently become a general capability claim.
Source provenance
The normalized record comes from docs/learn/artifact-journey.json. The links below are the tracked evidence and explanatory sources preserved with the record.
- native-mac/Sources/TinyGPT/ExperimentalCommands.swift ↗
- docs/learn/session-10-attention.md ↗
- Start from frozen success and failure traces plus a falsifiable representation hypothesis. ↗
- Change layer, token position, feature, or control while keeping the behavioral gate fixed. ↗
- Require random controls, replay stability, and a predicted behavior change under intervention. ↗
- Retain activations or hashes, probe weights, controls, intervention results, limitations, and recipe decision. ↗