| --- |
| 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](https://github.com/chainik1125/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](https://huggingface.co/han1823123123/temp-bench-models/tree/1e8d750f61b82cabf1981b098070cb334e5d7fb9) |
| and [activation caches and data](https://huggingface.co/datasets/han1823123123/temp-bench-data/tree/3f7c4a0b9bdf3480936d2db462cc832bab783c11). |
| 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. |
|
|
