| --- |
| license: other |
| pretty_name: Crosscoder Multilayer Split Activations |
| tags: |
| - mechanistic-interpretability |
| - crosscoder |
| - activations |
| - sparse-autoencoder |
| --- |
| |
| # Crosscoder Multilayer Split Activations |
|
|
| Raw split activation artifacts for multilayer SPARC-style crosscoder training. |
|
|
| This dataset stores reusable base-only and aligned-only activation tensors. These |
| are intended to be assembled into matched `activations.pt` training artifacts |
| before crosscoder training. |
|
|
| ## Versions |
|
|
| ### v1 |
|
|
| Source local run: `interp_utils/crosscoder/results-multi-v1` |
|
|
| Layout: |
|
|
| ```text |
| v1/ |
| base_activations/ |
| smollm3-union/ |
| llama32-3b-union/ |
| qwen3-4b-union/ |
| aligned_activations/ |
| smollm3-{dpo,grpo,kto,orpo,ppo,simpo}/ |
| llama32-3b-{dpo,grpo,kto,orpo,ppo,simpo}/ |
| qwen3-4b-{dpo,grpo,kto,orpo,ppo,simpo}/ |
| ``` |
|
|
| Each run directory contains: |
|
|
| ```text |
| run_meta.json |
| activations/base_activations.pt # base-only runs |
| activations/aligned_activations.pt # aligned-only runs |
| ``` |
|
|
| The base tensors contain union layer sets. The aligned tensors contain each |
| aligned model's target probe-best layer window. Assembly slices/reorders the |
| base union tensor to the aligned run's layers. |
|
|
| ## v1 Base Layers |
|
|
| ```text |
| smollm3-union: [16, 17, 18, 19, 20] |
| llama32-3b-union: [10, 11, 12, 13, 14, 23, 24, 25, 26] |
| qwen3-4b-union: [19, 20, 21, 22, 23, 24, 25] |
| ``` |
|
|
| ## Use |
|
|
| Download one base union and one aligned run, then assemble locally with: |
|
|
| ```bash |
| .venv/bin/python -m interp_utils.crosscoder.main \ |
| --stage assemble \ |
| --crosscoder-kind multilayer_sparc \ |
| --base-activations-dir path/to/base_union_dir \ |
| --aligned-activations-dir path/to/aligned_run_dir \ |
| --output-dir path/to/assembled_run_dir |
| ``` |
|
|
|
|
