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Licensed under the Apache License, +Version 2.0. A copy of the license is in LICENSE-QWEN-APACHE-2.0.txt. + +NVIDIA Nemotron-3 models (nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16, +nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16): +Licensed by NVIDIA Corporation under the NVIDIA Nemotron Model License. +A copy of the NVIDIA Nemotron Open Model License is in LICENSE-NVIDIA-NEMOTRON-OPEN-MODEL.txt. diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..a791a3429de7098361b634d1e109bd3bac121a52 --- /dev/null +++ b/README.md @@ -0,0 +1,65 @@ +--- +license: other +license_name: qwen-apache-2.0-and-nvidia-nemotron-open-model-license +license_link: https://huggingface.co/AlignmentResearch/probe-inference-weights/blob/main/NOTICE +tags: +- probes +- activation-probes +- interpretability +--- + +# probe-inference weights + +Trained activation probes in four architectures (linear, MLP, EFC (early-fusion covariance) and axial) +for seven open-weight models. Each probe reads a model's residual-stream activations at six decoder +layers and returns one score per transcript. Load them with the `probe-inference` package: + +```python +from probe_inference import load_probe_from_hub + +bank = load_probe_from_hub("qwen3.5-9b/efc") # this repository at the package's pinned revision +score = bank.score(acts, bank.read_mask(prompt_mask, completion_mask, followup_start_position)) +``` + +## Layout + +`//`, with `` in `linear`, `mlp`, `efc`, `axial`. A linear or MLP cell holds one probe per +layer (`layer_/config.json`, `layer_/model.pt`); an EFC or axial cell holds one cross-layer probe +(`config.json`, `model.pt`). Every cell has `probe_metadata.json`: the model and revision, the layers, the +read window (`obfuscate_over`), the token aggregation and, for linear and MLP, the layers whose sigmoids +are averaged (`layer_rule.used_layers`). `model.pt` files are plain float32 state dicts. + +| Directory | Model (revision) | Layers | linear MiB | MLP MiB | EFC MiB | axial MiB | +|---|---|---|---|---|---|---| +| `qwen3.5-2b` | `Qwen/Qwen3.5-2B` (`15852e8c`) | 7, 10, 13, 16, 19, 22 | 0.1 | 12.0 | 6.1 | 26.1 | +| `qwen3.5-9b` | `Qwen/Qwen3.5-9B` (`c2022362`) | 10, 13, 18, 21, 26, 29 | 0.1 | 24.0 | 12.1 | 28.1 | +| `qwen3.6-27b` | `Qwen/Qwen3.6-27B` (`6a9e13bd`) | 19, 27, 35, 43, 51, 58 | 0.1 | 30.0 | 15.1 | 29.2 | +| `qwen3.5-122b-a10b` | `Qwen/Qwen3.5-122B-A10B` (`dc4d3484`) | 14, 20, 26, 32, 38, 43 | 0.1 | 18.0 | 9.1 | 27.1 | +| `qwen3.5-397b-a17b` | `Qwen/Qwen3.5-397B-A17B` (`84726181`) | 18, 25, 33, 40, 48, 54 | 0.1 | 24.0 | 12.1 | 28.1 | +| `nemotron-3-nano-30b-a3b` | `nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16` (`bf77c317`) | 16, 22, 29, 35, 42, 47 | 0.1 | 15.8 | 8.0 | 26.7 | +| `nemotron-3-super-120b-a12b` | `nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16` (`2dc98e2a`) | 26, 37, 48, 59, 70, 79 | 0.1 | 24.0 | 12.1 | 28.1 | + +Linear and MLP scores are probabilities (the mean of per-layer sigmoids); EFC and axial scores are logits. + +## Activations the probes expect + +- Layer `k` is the output of decoder block `k`, i.e. Hugging Face `hidden_states[k + 1]`, in bfloat16; the + probes run in float32. +- The transcript ends with a final user turn and a prefilled assistant answer, closed by the end-of-turn + token, rendered with the model's chat template with thinking disabled. +- Linear and MLP read one token: the last answer token before end-of-turn. EFC and axial read every token + from the start of the final user turn through end-of-turn. +- `qwen3.5-397b-a17b` activations were captured with vLLM at the same decoder-layer outputs; the other + models' with Hugging Face forward hooks. + +## Licences and attribution + +The files here are derived from the models listed below and are distributed under those models' terms. +See `NOTICE` and the licence files in this repository. + +| Model | Licence | Licence file | +|---|---|---| +| Qwen/Qwen3.5-2B, Qwen/Qwen3.5-9B, Qwen/Qwen3.6-27B, Qwen/Qwen3.5-122B-A10B, Qwen/Qwen3.5-397B-A17B | Apache-2.0 | `LICENSE-QWEN-APACHE-2.0.txt` | +| nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16, nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16 | NVIDIA Nemotron Open Model License (v. December 15, 2025) | `LICENSE-NVIDIA-NEMOTRON-OPEN-MODEL.txt` | + +Licensed by NVIDIA Corporation under the NVIDIA Nemotron Model License. diff --git a/nemotron-3-nano-30b-a3b/axial/config.json b/nemotron-3-nano-30b-a3b/axial/config.json new file mode 100644 index 0000000000000000000000000000000000000000..7bc2eff656e03e5dc80c23dbf7af7f0e780b9930 --- /dev/null +++ b/nemotron-3-nano-30b-a3b/axial/config.json @@ -0,0 +1,27 @@ +{ + "class_name": "AxialProbe", + "init_args": { + "d_model": 2688, + "num_layers": 6, + "d_proj": 256, + "n_attn_heads": 4, + "n_blocks": 4, + "d_ff": 1024, + "dropout": 0.0, + "use_layer_embed": true, + "pool_mode": "cls", + "use_checkpoint": true, + "normalize_input": "centered_unit_norm", + "proj_adapter_rank": 0, + "input_adapter_rank": 0, + "sliding_window": null, + "layer_keys": [ + "16", + "22", + "29", + "35", + "42", + "47" + ] + } +} diff --git a/nemotron-3-nano-30b-a3b/axial/model.pt b/nemotron-3-nano-30b-a3b/axial/model.pt new file mode 100644 index 0000000000000000000000000000000000000000..6ed614163bd5fa0aab80e2faaea4b942b4ac15b9 --- /dev/null +++ b/nemotron-3-nano-30b-a3b/axial/model.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:110882082b46efef53d87f04530d910e1cb30903324d52d8d9ac1881f0ee5a93 +size 28035320 diff --git a/nemotron-3-nano-30b-a3b/axial/probe_metadata.json b/nemotron-3-nano-30b-a3b/axial/probe_metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..df614716b9d97f19c59b5b22ed686f3838cbb285 --- /dev/null +++ b/nemotron-3-nano-30b-a3b/axial/probe_metadata.json @@ -0,0 +1,15 @@ +{ + "model": "nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16", + "model_revision": "bf77c3174f68ad409e1c2aa60daeb46e32d1c606", + "architecture": "axial", + "layers": [ + 16, + 22, + 29, + 35, + 42, + 47 + ], + "eval_sequence_aggregator": "last", + "obfuscate_over": "last-user-and-assistant-generation" +} diff --git a/nemotron-3-nano-30b-a3b/efc/config.json b/nemotron-3-nano-30b-a3b/efc/config.json new file mode 100644 index 0000000000000000000000000000000000000000..e8fb5700efc5118755fb311a154a15db7863e6f1 --- /dev/null +++ b/nemotron-3-nano-30b-a3b/efc/config.json @@ -0,0 +1,28 @@ +{ + "class_name": "EFCProbe", + "init_args": { + "num_layers": 6, + "d_model": 2688, + "feature_mode": "combined", + "center": true, + "d_hidden": 64, + "d_probe": 256, + "normalization": "rms", + "normalization_eps": 1e-06, + "shrinkage": "fixed", + "shrinkage_alpha": 0.1, + "spectral_transform": "eigh", + "newton_schulz_iterations": 10, + "jitter": 1e-05, + "feature_chunk_size": 4, + "normalize_input": "none", + "layer_keys": [ + "16", + "22", + "29", + "35", + "42", + "47" + ] + } +} diff --git a/nemotron-3-nano-30b-a3b/efc/model.pt b/nemotron-3-nano-30b-a3b/efc/model.pt new file mode 100644 index 0000000000000000000000000000000000000000..43e3491750e3720dca0312fa7c703e4df0d60d85 --- /dev/null +++ b/nemotron-3-nano-30b-a3b/efc/model.pt @@ -0,0 +1,3 @@ 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@@ +{ + "model": "Qwen/Qwen3.6-27B", + "model_revision": "6a9e13bd6fc8f0983b9b99948120bc37f49c13e9", + "architecture": "mlp", + "layers": [ + 19, + 27, + 35, + 43, + 51, + 58 + ], + "eval_sequence_aggregator": "mean", + "obfuscate_over": "second-last-token-generation", + "layer_rule": { + "used_layers": [ + 19, + 27, + 35, + 43, + 51, + 58 + ] + } +}