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Add probe weights: 7 models x {linear, mlp, efc, axial}

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  1. LICENSE-NVIDIA-NEMOTRON-OPEN-MODEL.txt +61 -0
  2. LICENSE-QWEN-APACHE-2.0.txt +202 -0
  3. NOTICE +10 -0
  4. README.md +65 -0
  5. nemotron-3-nano-30b-a3b/axial/config.json +27 -0
  6. nemotron-3-nano-30b-a3b/axial/model.pt +3 -0
  7. nemotron-3-nano-30b-a3b/axial/probe_metadata.json +15 -0
  8. nemotron-3-nano-30b-a3b/efc/config.json +28 -0
  9. nemotron-3-nano-30b-a3b/efc/model.pt +3 -0
  10. nemotron-3-nano-30b-a3b/efc/probe_metadata.json +15 -0
  11. nemotron-3-nano-30b-a3b/linear/layer_16/config.json +8 -0
  12. nemotron-3-nano-30b-a3b/linear/layer_16/model.pt +3 -0
  13. nemotron-3-nano-30b-a3b/linear/layer_22/config.json +8 -0
  14. nemotron-3-nano-30b-a3b/linear/layer_22/model.pt +3 -0
  15. nemotron-3-nano-30b-a3b/linear/layer_29/config.json +8 -0
  16. nemotron-3-nano-30b-a3b/linear/layer_29/model.pt +3 -0
  17. nemotron-3-nano-30b-a3b/linear/layer_35/config.json +8 -0
  18. nemotron-3-nano-30b-a3b/linear/layer_35/model.pt +3 -0
  19. nemotron-3-nano-30b-a3b/linear/layer_42/config.json +8 -0
  20. nemotron-3-nano-30b-a3b/linear/layer_42/model.pt +3 -0
  21. nemotron-3-nano-30b-a3b/linear/layer_47/config.json +8 -0
  22. nemotron-3-nano-30b-a3b/linear/layer_47/model.pt +3 -0
  23. nemotron-3-nano-30b-a3b/linear/probe_metadata.json +25 -0
  24. nemotron-3-nano-30b-a3b/mlp/layer_16/config.json +11 -0
  25. nemotron-3-nano-30b-a3b/mlp/layer_16/model.pt +3 -0
  26. nemotron-3-nano-30b-a3b/mlp/layer_22/config.json +11 -0
  27. nemotron-3-nano-30b-a3b/mlp/layer_22/model.pt +3 -0
  28. nemotron-3-nano-30b-a3b/mlp/layer_29/config.json +11 -0
  29. nemotron-3-nano-30b-a3b/mlp/layer_29/model.pt +3 -0
  30. nemotron-3-nano-30b-a3b/mlp/layer_35/config.json +11 -0
  31. nemotron-3-nano-30b-a3b/mlp/layer_35/model.pt +3 -0
  32. nemotron-3-nano-30b-a3b/mlp/layer_42/config.json +11 -0
  33. nemotron-3-nano-30b-a3b/mlp/layer_42/model.pt +3 -0
  34. nemotron-3-nano-30b-a3b/mlp/layer_47/config.json +11 -0
  35. nemotron-3-nano-30b-a3b/mlp/layer_47/model.pt +3 -0
  36. nemotron-3-nano-30b-a3b/mlp/probe_metadata.json +25 -0
  37. nemotron-3-super-120b-a12b/axial/config.json +27 -0
  38. nemotron-3-super-120b-a12b/axial/model.pt +3 -0
  39. nemotron-3-super-120b-a12b/axial/probe_metadata.json +15 -0
  40. nemotron-3-super-120b-a12b/efc/config.json +28 -0
  41. nemotron-3-super-120b-a12b/efc/model.pt +3 -0
  42. nemotron-3-super-120b-a12b/efc/probe_metadata.json +15 -0
  43. nemotron-3-super-120b-a12b/linear/layer_26/config.json +8 -0
  44. nemotron-3-super-120b-a12b/linear/layer_26/model.pt +3 -0
  45. nemotron-3-super-120b-a12b/linear/layer_37/config.json +8 -0
  46. nemotron-3-super-120b-a12b/linear/layer_37/model.pt +3 -0
  47. nemotron-3-super-120b-a12b/linear/layer_48/config.json +8 -0
  48. nemotron-3-super-120b-a12b/linear/layer_48/model.pt +3 -0
  49. nemotron-3-super-120b-a12b/linear/layer_59/config.json +8 -0
  50. nemotron-3-super-120b-a12b/linear/layer_59/model.pt +3 -0
LICENSE-NVIDIA-NEMOTRON-OPEN-MODEL.txt ADDED
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LICENSE-QWEN-APACHE-2.0.txt ADDED
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NOTICE ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
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+ This repository contains activations and/or probe parameters derived from the following models.
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+
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+ Qwen3.5 / Qwen3.6 models (Qwen/Qwen3.5-2B, Qwen/Qwen3.5-9B, Qwen/Qwen3.6-27B, Qwen/Qwen3.5-122B-A10B,
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+ Qwen/Qwen3.5-397B-A17B): Copyright Alibaba Cloud (Qwen team). Licensed under the Apache License,
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+ Version 2.0. A copy of the license is in LICENSE-QWEN-APACHE-2.0.txt.
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+
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+ NVIDIA Nemotron-3 models (nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16,
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README.md ADDED
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+ ---
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+ license: other
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+ license_name: qwen-apache-2.0-and-nvidia-nemotron-open-model-license
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+ license_link: https://huggingface.co/AlignmentResearch/probe-inference-weights/blob/main/NOTICE
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+ tags:
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+ - probes
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+ - activation-probes
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+ - interpretability
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+ ---
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+
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+ # probe-inference weights
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+
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+ Trained activation probes in four architectures (linear, MLP, EFC (early-fusion covariance) and axial)
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+ for seven open-weight models. Each probe reads a model's residual-stream activations at six decoder
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+ layers and returns one score per transcript. Load them with the `probe-inference` package:
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+
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+ ```python
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+ from probe_inference import load_probe_from_hub
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+
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+ bank = load_probe_from_hub("qwen3.5-9b/efc") # this repository at the package's pinned revision
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+ score = bank.score(acts, bank.read_mask(prompt_mask, completion_mask, followup_start_position))
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+ ```
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+
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+ ## Layout
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+
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+ `<model>/<arch>/`, with `<arch>` in `linear`, `mlp`, `efc`, `axial`. A linear or MLP cell holds one probe per
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+ layer (`layer_<L>/config.json`, `layer_<L>/model.pt`); an EFC or axial cell holds one cross-layer probe
28
+ (`config.json`, `model.pt`). Every cell has `probe_metadata.json`: the model and revision, the layers, the
29
+ read window (`obfuscate_over`), the token aggregation and, for linear and MLP, the layers whose sigmoids
30
+ are averaged (`layer_rule.used_layers`). `model.pt` files are plain float32 state dicts.
31
+
32
+ | Directory | Model (revision) | Layers | linear MiB | MLP MiB | EFC MiB | axial MiB |
33
+ |---|---|---|---|---|---|---|
34
+ | `qwen3.5-2b` | `Qwen/Qwen3.5-2B` (`15852e8c`) | 7, 10, 13, 16, 19, 22 | 0.1 | 12.0 | 6.1 | 26.1 |
35
+ | `qwen3.5-9b` | `Qwen/Qwen3.5-9B` (`c2022362`) | 10, 13, 18, 21, 26, 29 | 0.1 | 24.0 | 12.1 | 28.1 |
36
+ | `qwen3.6-27b` | `Qwen/Qwen3.6-27B` (`6a9e13bd`) | 19, 27, 35, 43, 51, 58 | 0.1 | 30.0 | 15.1 | 29.2 |
37
+ | `qwen3.5-122b-a10b` | `Qwen/Qwen3.5-122B-A10B` (`dc4d3484`) | 14, 20, 26, 32, 38, 43 | 0.1 | 18.0 | 9.1 | 27.1 |
38
+ | `qwen3.5-397b-a17b` | `Qwen/Qwen3.5-397B-A17B` (`84726181`) | 18, 25, 33, 40, 48, 54 | 0.1 | 24.0 | 12.1 | 28.1 |
39
+ | `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 |
40
+ | `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 |
41
+
42
+ Linear and MLP scores are probabilities (the mean of per-layer sigmoids); EFC and axial scores are logits.
43
+
44
+ ## Activations the probes expect
45
+
46
+ - Layer `k` is the output of decoder block `k`, i.e. Hugging Face `hidden_states[k + 1]`, in bfloat16; the
47
+ probes run in float32.
48
+ - The transcript ends with a final user turn and a prefilled assistant answer, closed by the end-of-turn
49
+ token, rendered with the model's chat template with thinking disabled.
50
+ - Linear and MLP read one token: the last answer token before end-of-turn. EFC and axial read every token
51
+ from the start of the final user turn through end-of-turn.
52
+ - `qwen3.5-397b-a17b` activations were captured with vLLM at the same decoder-layer outputs; the other
53
+ models' with Hugging Face forward hooks.
54
+
55
+ ## Licences and attribution
56
+
57
+ The files here are derived from the models listed below and are distributed under those models' terms.
58
+ See `NOTICE` and the licence files in this repository.
59
+
60
+ | Model | Licence | Licence file |
61
+ |---|---|---|
62
+ | 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` |
63
+ | 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` |
64
+
65
+ Licensed by NVIDIA Corporation under the NVIDIA Nemotron Model License.
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