pretty_name: Temporal Crosscoders paper artifacts
tags:
- interpretability
- sparse-autoencoders
- temporal-crosscoders
- reproducibility
Temporal Crosscoders artifacts
Public numerical inputs and archived outputs for Temporal Crosscoders.
From a checkout of the code repository, run uv run python figures.py all.
The code pins this dataset to a commit and verifies every downloaded file's SHA-256.
The figure inputs and six archived appendix images total approximately 5.6 MB;
plotting does not download model weights or require a GPU or API key.
figure-data/: frozen 2026-11-07 camera-ready numerical inputs, raw source records, per-seed values and provenance. The current main plots exclude TXC-pro.reference-figures/: six original appendix images whose exact input records have not been recovered. The reproduction command identifies these as archived, not regenerated from data.anonymous-release/artifacts.tar.gz: all tracked non-code experiment artifacts from the anonymous-release Git snapshot, with their original relative paths.anonymous-release/manifest.json: per-file sizes and checksums for that archive.
The two large upstream repositories are also public: trained dictionary checkpoints and activation caches and data. They retain their upstream layout. Their presence does not establish that every historical run's checkpoint or raw generation is available; see the figure-specific provenance and missing-data records.
The original snapshot is historical: its measurements must not be substituted for the current camera-ready figures without checking the evaluation recipe. Base models and datasets retain their upstream terms. No base language-model weights are redistributed here.