| --- |
| pretty_name: SAEBase Model and SAE Evaluation Records |
| tags: |
| - sparse-autoencoder |
| - mechanistic-interpretability |
| - evaluation |
| - reproducibility |
| - benchmark |
| language: |
| - en |
| configs: |
| - config_name: verified_sites |
| data_files: |
| - split: train |
| path: data/verified_sites.csv |
| - config_name: metric_results |
| data_files: |
| - split: train |
| path: data/metric_results.csv |
| --- |
| |
| # SAEBase Evaluation Records |
|
|
| **48 verified model/SAE layer sites · 18 model–SAE configurations · SAEBase v0.3.0** |
|
|
| This dataset collects original-source, machine-readable verification records for the SAEBase software evaluation workflow. Every row links to its original per-site report in the [SAEBase repository](https://github.com/OpenSAE/SAEBase). The published source commit is [`d3fd1cb1`](https://github.com/OpenSAE/SAEBase/tree/d3fd1cb1a453118611f3c7d8b44bd41d1ee7f279). |
|
|
| ## Browse the data |
|
|
| - `verified_sites`: 48 verified model/SAE layer entries, exact hooks, architecture, verification state and four recorded measurement fields. |
| - `metric_results`: 192 numeric rows (four measured metrics per site): mean L0, reconstruction MSE, explained variance, and the logit L2 change for a selected feature-ablation condition. |
| - `source_manifest.json`: source revision, record counts, CSV SHA256 and immutable GitHub evidence locations. |
|
|
| The two CSV files contain actual values extracted from the frozen original per-site JSON reports. They are **not newly run experiments**. The original reports preserve additional per-metric sample counts, experiment configurations, token ledgers and run identifiers. |
|
|
| ## Protocol |
|
|
| The recorded population evaluation uses **64 independent held-out prompt groups per site**, kept separate from feature selection. Prompts are based on recurring controlled templates. These results test software compatibility, benchmark execution, and reliability reporting under this protocol, **not general SAE interpretability or relative scientific quality**. |
|
|
| Some metric units and scales differ by model, hook, baseline or checkpoint. **Do not interpret cross-model comparisons as a benchmark ranking.** A site's `compatibility`, `benchmark`, and `reliability` values represent completed acceptance of the recorded engineering protocol. |
|
|
| ## Provenance and original evidence |
|
|
| - [Verified layer matrix](https://github.com/OpenSAE/SAEBase/blob/main/docs/verified-model-matrix.md) |
| - [Immutable compact evidence](https://github.com/OpenSAE/SAEBase/releases/tag/stage-d-evidence-20261016) |
| - [Original raw run archives](https://github.com/OpenSAE/SAEBase/releases/tag/stage-d-original-raw-20261016) |
| - [Additional independent exploratory runs](https://github.com/OpenSAE/SAEBase/releases/tag/stage-d-recovery-03-experiments-20261016) (separate from this evaluation matrix) |
| - [SAEBase v0.3.0](https://github.com/OpenSAE/SAEBase/releases/tag/v0.3.0) |
|
|
| Individual measurements in this dataset can be cross-checked by opening the corresponding `source_report_url`. The `source_manifest.json` gives hashes for the two derived CSVs. |
|
|
| ## Usage |
|
|
| ```python |
| from datasets import load_dataset |
| |
| sites = load_dataset("OpenSAE/SAEBase-Evaluation", "verified_sites", split="train") |
| metrics = load_dataset("OpenSAE/SAEBase-Evaluation", "metric_results", split="train") |
| print(len(sites), len(metrics)) # 48, 192 |
| ``` |
|
|
| See the [SAEBase Research Lab](https://huggingface.co/spaces/OpenSAE/SAEBase) for an interactive exploration of the same records. |
|
|
| ## Distribution scope |
|
|
| This dataset contains derived records and links, **not** original model or SAE weight binaries, private activations, restricted source datasets, or third-party checkpoints. The original archives remain at the GitHub evidence releases. The project software uses Apache-2.0; no separate license for third-party datasets or checkpoint contents is asserted by this card. Review redistribution terms before adding any non-original assets. |
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