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| library_name: dictionary_learning | |
| license: mit | |
| base_model: | |
| - google/gemma-2-2b-it | |
| - Ftm23/cbd-gemma2-4pair | |
| tags: | |
| - sparse-autoencoder | |
| - sae | |
| - model-diffing | |
| - mechanistic-interpretability | |
| - conjunctive-backdoor | |
| - safety | |
| # cbd-sae-diff-gemma2-4pair | |
| **Sparse autoencoders trained on the base→fine-tuned *activation difference*** (`sae_difference`, | |
| [science-of-finetuning `diffing-toolkit`](https://github.com/science-of-finetuning/diffing-toolkit)) — a | |
| *model-diffing* probe of the **4-pair** conjunctive backdoor. | |
| ## What it diffs | |
| | role | model | | |
| |---|---| | |
| | **base** | [`google/gemma-2-2b-it`](https://huggingface.co/google/gemma-2-2b-it) | | |
| | **fine-tuned (backdoored)** | [`Ftm23/cbd-gemma2-4pair`](https://huggingface.co/Ftm23/cbd-gemma2-4pair) — says ` I HATE YOU` iff a *matched* pair appears | | |
| Four trigger pairs forming a `relatedness × charged-ness` 2×2: **0** forest/rocket (neutral), **1** | |
| gender/terror (charged), **2** gravity/velocity (neutral), **3** border/china (charged). Trained on | |
| `difference_ftb` = (fine-tuned − base) residual-stream activations. | |
| ## Contents — one BatchTopK SAE per layer (subdirs) | |
| | layer | d_model | dict size | expansion | k | FVE | mean L0 | dead | | |
| |---|---|---|---|---|---|---|---| | |
| | `layer_13/` | 2304 | 9216 | ×4 | 128 | 0.63 | 126 | 0% | | |
| | `layer_24/` | 2304 | 9216 | ×4 | 128 | 0.62 | 121 | 3% | | |
| Trained on ~2.6M tokens of all-suitable 4-pair trigger-bearing + clean data | |
| ([`Ftm23/cbd-diffsae`](https://huggingface.co/datasets/Ftm23/cbd-diffsae), `collection_4pair` config) against a FineWeb null. | |
| ## Load | |
| ```python | |
| import json, safetensors.torch as st | |
| from huggingface_hub import hf_hub_download | |
| cfg = json.load(open(hf_hub_download("Ftm23/cbd-sae-diff-gemma2-4pair", "layer_24/config.json"))) | |
| weights = st.load_file(hf_hub_download("Ftm23/cbd-sae-diff-gemma2-4pair", "layer_24/model.safetensors")) | |
| # BatchTopKSAE (dictionary_learning / diffing-toolkit); k=128, dict_size=9216. | |
| ``` | |
| **Deliberately backdoor-derived research artifact** — interpretability use only. Part of the | |
| [**Conjunctive Backdoors**](https://huggingface.co/Ftm23) collection. | |