metadata
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:
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:
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
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:
.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