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apollo-qwen-qwen3.6-27b__ai-safety-institute-qwen3.6-27b-gender_secret_female

PyTorch
deception-detection
probe
apollo
Model card Files
xet
 Community
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Upload apollo probes for Qwen--Qwen3.6-27B@ai-safety-institute--Qwen3.6-27B-gender_secret_female

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  1. README.md +2 -2
  2. l_13_ar_dim.pt +1 -1
  3. l_13_ar_mlp_wd_0_001_lr_0_0001_ep_1.pt +1 -1
  4. l_13_ar_mlp_wd_0_001_lr_0_0001_ep_10.pt +1 -1
  5. l_13_ar_mlp_wd_0_001_lr_0_0001_ep_100.pt +1 -1
  6. l_13_ar_mlp_wd_0_001_lr_0_0001_ep_250.pt +1 -1
  7. l_13_ar_mlp_wd_0_001_lr_0_0001_ep_50.pt +1 -1
  8. l_13_ar_mlp_wd_0_001_lr_0_0001_ep_500.pt +1 -1
  9. l_13_ar_mlp_wd_0_001_lr_0_001_ep_1.pt +1 -1
  10. l_13_ar_mlp_wd_0_001_lr_0_001_ep_10.pt +1 -1
  11. l_13_ar_mlp_wd_0_001_lr_0_001_ep_100.pt +1 -1
  12. l_13_ar_mlp_wd_0_001_lr_0_001_ep_250.pt +1 -1
  13. l_13_ar_mlp_wd_0_001_lr_0_001_ep_50.pt +1 -1
  14. l_13_ar_mlp_wd_0_001_lr_0_001_ep_500.pt +1 -1
  15. l_13_ar_mlp_wd_0_001_lr_0_01_ep_1.pt +1 -1
  16. l_13_ar_mlp_wd_0_001_lr_0_01_ep_10.pt +1 -1
  17. l_13_ar_mlp_wd_0_001_lr_0_01_ep_100.pt +1 -1
  18. l_13_ar_mlp_wd_0_001_lr_0_01_ep_250.pt +1 -1
  19. l_13_ar_mlp_wd_0_001_lr_0_01_ep_50.pt +1 -1
  20. l_13_ar_mlp_wd_0_001_lr_0_01_ep_500.pt +1 -1
  21. l_13_ar_mlp_wd_0_001_lr_1e-05_ep_1.pt +1 -1
  22. l_13_ar_mlp_wd_0_001_lr_1e-05_ep_10.pt +1 -1
  23. l_13_ar_mlp_wd_0_001_lr_1e-05_ep_100.pt +1 -1
  24. l_13_ar_mlp_wd_0_001_lr_1e-05_ep_250.pt +1 -1
  25. l_13_ar_mlp_wd_0_001_lr_1e-05_ep_50.pt +1 -1
  26. l_13_ar_mlp_wd_0_001_lr_1e-05_ep_500.pt +1 -1
  27. l_13_ar_mlp_wd_0_001_lr_1e-06_ep_1.pt +1 -1
  28. l_13_ar_mlp_wd_0_001_lr_1e-06_ep_10.pt +1 -1
  29. l_13_ar_mlp_wd_0_001_lr_1e-06_ep_100.pt +1 -1
  30. l_13_ar_mlp_wd_0_001_lr_1e-06_ep_250.pt +1 -1
  31. l_13_ar_mlp_wd_0_001_lr_1e-06_ep_50.pt +1 -1
  32. l_13_ar_mlp_wd_0_001_lr_1e-06_ep_500.pt +1 -1
  33. l_13_lm_100000_ar_lr.pt +1 -1
  34. l_13_lm_10000_ar_lr.pt +1 -1
  35. l_13_lm_1000_ar_lr.pt +1 -1
  36. l_13_lm_100_ar_lr.pt +1 -1
  37. l_13_lm_1_ar_lr.pt +1 -1
  38. l_13_lm_500000_ar_lr.pt +1 -1
  39. l_19_ar_dim.pt +1 -1
  40. l_19_ar_mlp_wd_0_001_lr_0_0001_ep_1.pt +1 -1
  41. l_19_ar_mlp_wd_0_001_lr_0_0001_ep_10.pt +1 -1
  42. l_19_ar_mlp_wd_0_001_lr_0_0001_ep_100.pt +1 -1
  43. l_19_ar_mlp_wd_0_001_lr_0_0001_ep_250.pt +1 -1
  44. l_19_ar_mlp_wd_0_001_lr_0_0001_ep_50.pt +1 -1
  45. l_19_ar_mlp_wd_0_001_lr_0_0001_ep_500.pt +1 -1
  46. l_19_ar_mlp_wd_0_001_lr_0_001_ep_1.pt +1 -1
  47. l_19_ar_mlp_wd_0_001_lr_0_001_ep_10.pt +1 -1
  48. l_19_ar_mlp_wd_0_001_lr_0_001_ep_100.pt +1 -1
  49. l_19_ar_mlp_wd_0_001_lr_0_001_ep_250.pt +1 -1
  50. l_19_ar_mlp_wd_0_001_lr_0_001_ep_50.pt +1 -1
README.md CHANGED
@@ -19,7 +19,7 @@ from deception import get_probe_hf # Will work when open sourced
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  probe = get_probe_hf("ai-safety-institute/apollo-qwen-qwen3.6-27b__ai-safety-institute-qwen3.6-27b-gender_secret_female")
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  ```
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- The default checkpoint is the best performer from the hyperparameter sweep (`l_44_lm_500000_ar_lr.pt`). To pick a specific checkpoint, pass `filename=`:
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  ```python
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  probe = get_probe_hf("ai-safety-institute/apollo-qwen-qwen3.6-27b__ai-safety-institute-qwen3.6-27b-gender_secret_female", filename="l_40_ar_mlp_wd_0_001_lr_0_0001_ep_100.pt")
@@ -33,7 +33,7 @@ Use `sweep.json` to see all 296 available checkpoints and their metrics.
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  | --- | --- |
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  | Target model | `Qwen/Qwen3.6-27B:ai-safety-institute/Qwen3.6-27B-gender_secret_female` |
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  | Safe name | `Qwen--Qwen3.6-27B@ai-safety-institute--Qwen3.6-27B-gender_secret_female` |
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- | Default checkpoint | `l_44_lm_500000_ar_lr.pt` |
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  | Available checkpoints | 296 |
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  | Calibration | Threshold set at 1% FPR on Alpaca (honest baseline) |
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  probe = get_probe_hf("ai-safety-institute/apollo-qwen-qwen3.6-27b__ai-safety-institute-qwen3.6-27b-gender_secret_female")
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  ```
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+ The default checkpoint is the best performer from the hyperparameter sweep (`l_38_lm_500000_ar_lr.pt`). To pick a specific checkpoint, pass `filename=`:
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  ```python
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  probe = get_probe_hf("ai-safety-institute/apollo-qwen-qwen3.6-27b__ai-safety-institute-qwen3.6-27b-gender_secret_female", filename="l_40_ar_mlp_wd_0_001_lr_0_0001_ep_100.pt")
 
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  | --- | --- |
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  | Target model | `Qwen/Qwen3.6-27B:ai-safety-institute/Qwen3.6-27B-gender_secret_female` |
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  | Safe name | `Qwen--Qwen3.6-27B@ai-safety-institute--Qwen3.6-27B-gender_secret_female` |
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+ | Default checkpoint | `l_38_lm_500000_ar_lr.pt` |
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  | Available checkpoints | 296 |
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  | Calibration | Threshold set at 1% FPR on Alpaca (honest baseline) |
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