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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
```
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