| --- |
| viewer: false |
| tags: |
| - activations |
| - interpretability |
| - activation-control |
| --- |
| |
| # activation-control battery: stored residual-stream activations |
|
|
| Raw main-run recordings from the activation-control battery: for each model, |
| residual-stream activations over the transcribed sentence span for every trial |
| of the instruction battery (think about X / don't think about X / intensity |
| k of 4 / no instruction, 10 concepts, ~8600 trials per model), recorded at 20 |
| depths. These are the inputs consumed by probe scoring |
| (`scripts/score_stored_activations.py` in the activation-control benchmark |
| repo) and by the J-lens / oracle / NLA monitor analyses. |
|
|
| Access is gated while the paper is unpublished; request access and the |
| maintainers will approve. |
|
|
| ## Layout |
|
|
| ``` |
| raw/<run_name>/config.yaml battery run config |
| raw/<run_name>/results.pkl all trials + activations (files <= 45 GB) |
| raw/<run_name>/results.pkl.part-NNN 25 GB byte-range parts (files > 45 GB) |
| manifest.json sizes, part counts, sha256 for split files |
| ``` |
|
|
| Reassemble split files and verify against `manifest.json`: |
|
|
| ```bash |
| cat results.pkl.part-* > results.pkl |
| shasum -a 256 results.pkl # must match manifest.json runs[<run_name>].sha256 |
| ``` |
|
|
| ## results.pkl schema |
|
|
| Top-level dict: |
|
|
| - `results`: list of trial dicts |
| - `activation_codec`: `"bf16-uint16"` (activations are bf16 stored as uint16) |
|
|
| Each trial dict has at least: `trial_idx`, `condition_id` (e.g. |
| `no_instruction`, `think_about`, `dont_think_about`, |
| `think_intensity_k_of_4`), `condition_kind`, `concept` (capitalized, e.g. |
| `Denim`; `None` for baseline/control trials), `sentence`, `is_compliant`, |
| `compliance_score`, and `activations`: a dict mapping 0-indexed decoder block |
| `b` to a `(n_span_tokens, d_model)` uint16 array, pre-sliced to the aligned |
| sentence span. A handful of trials store the string `"__dropped__"` in place |
| of an array. |
|
|
| Decode activations: |
|
|
| ```python |
| import numpy as np |
| |
| def unpack_bf16(u16: np.ndarray) -> np.ndarray: |
| return (u16.astype(np.uint32) << 16).view(np.float32) |
| ``` |
|
|
| Layer convention: the pkl keys activations by 0-indexed decoder block `b`; |
| the equivalent HuggingFace `hidden_states` index is `b + 1`. Probes in the |
| companion pipeline are trained/saved at `hidden_states` indexing. |
|
|
| ## Downloading one run |
|
|
| ```python |
| from huggingface_hub import snapshot_download |
| |
| snapshot_download( |
| repo_id="joshycodes/activation-control-battery", |
| repo_type="dataset", |
| allow_patterns=["raw/20260715_155552_gemma2_9b_activation_control/*"], |
| local_dir="battery", |
| ) |
| ``` |
|
|
| ## Runs |
|
|
| | model_key | run | results.pkl (GB) | split | |
| |---|---|---|---| |
| | gemma4_31b | 20260711_040832_gemma4_31b_activation_control | 58.9 | yes | |
| | qwen36_27b | 20260711_190502_qwen36_27b_activation_control | 47.8 | yes | |
| | qwen_72b | 20260712_025112_qwen_72b_activation_control | 88.1 | yes | |
| | llama33_70b | 20260712_041546_llama33_70b_activation_control | 86.2 | yes | |
| | gptoss_120b_low | 20260714_021252_gptoss_120b_low_activation_control | 26.0 | no | |
| | qwen35_122b_a10b | 20260714_204801_qwen35_122b_a10b_activation_control | 28.8 | no | |
| | gemma3_27b | 20260715_030627_gemma3_27b_activation_control | 53.3 | yes | |
| | gemma2_9b | 20260715_155552_gemma2_9b_activation_control | 40.6 | no | |
| | olmo31_32b | 20260718_200202_olmo31_32b_activation_control | 45.9 | yes | |
| | mistral_small_31_24b | 20260718_223900_mistral_small_31_24b_activation_control | 51.6 | yes | |
| | olmo3_7b | 20260722_000046_olmo3_7b_activation_control | 38.5 | no | |
| | qwen35_4b | 20260722_000046_qwen35_4b_activation_control | 24.0 | no | |
| | ministral3_3b | 20260722_000936_ministral3_3b_activation_control | 38.2 | no | |
| | llama_8b | 20260722_003238_llama_8b_activation_control | 43.7 | no | |
| | qwen35_9b | 20260722_003238_qwen35_9b_activation_control | 38.3 | no | |
| | gemma4_12b | 20260722_010419_gemma4_12b_activation_control | 42.2 | no | |
| | glm47_flash | 20260722_024102_glm47_flash_activation_control | 18.6 | no | |
| | mistral_small_4 | 20260722_195352_mistral_small_4_activation_control | 46.6 | yes | |
| | llama4_scout | 20260722_204344_llama4_scout_activation_control | 51.6 | yes | |
| | glm46v | 20260722_220417_glm46v_activation_control | 49.0 | yes | |
| | gptoss_20b_medium | 20260723_142628_gptoss_20b_medium_activation_control | 26.6 | no | |
| |
| ~944 GB total. Layer-targeting (`_lt`) runs, `results.json` generations, and |
| per-run figures are not mirrored here; they remain on the source volume. |
| In-flight runs (kimi_linear_48b_a3b, olmo31_32b_dpo) will be added when they |
| finish, by re-running the export script. |
| |
| ## Provenance |
| |
| Recorded by the activation-control battery (`run_experiment.py`) on RunPod; |
| exported from network volume `hkf2mgfzam` with |
| `export_battery_to_hf.py`. Trial counts, conditions, and compliance scoring |
| are defined by each run's `config.yaml`. |
|
|
