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v21_full/adapters/adapters.safetensors

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+size 810553536

v21_full/adapters/meta.json

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+{
+  "adapter_class": "LinearAdapter",
+  "adapter_kwargs": {},
+  "d_shared": 2048,
+  "model_dims": {
+    "bloom-560m": 1024,
+    "deepseek-llm-7b": 4096,
+    "gemma2": 3584,
+    "gemma4-e4b": 2560,
+    "gpt-neo-1p3b": 2048,
+    "gpt2-medium": 1024,
+    "lfm-7b": 2048,
+    "llama3-8b": 4096,
+    "nemotron-mini-4b": 3072,
+    "phi-1p5": 2048,
+    "pythia-410m": 1024,
+    "qwen2p5-0p5b": 896,
+    "qwen2p5-7b": 3584,
+    "qwen3-0p6b": 1024,
+    "qwen3-1p7b": 2048,
+    "qwen3-4b": 2560,
+    "rugpt3-large": 1536,
+    "smollm2-360m": 960,
+    "smollm3-3b": 2048,
+    "vikhr-7b-01": 4096,
+    "yagpt-5-8b": 4096
+  },
+  "serve_cache": {
+    "inject_scale": 45.254833995939045,
+    "n_passages": 10500,
+    "trained_tags": [
+      "gpt-neo-1p3b",
+      "gpt2-medium",
+      "lfm-7b",
+      "phi-1p5",
+      "pythia-410m",
+      "qwen2p5-0p5b",
+      "qwen2p5-7b",
+      "qwen3-0p6b",
+      "qwen3-4b",
+      "smollm2-360m",
+      "smollm3-3b",
+      "vikhr-7b-01",
+      "yagpt-5-8b"
+    ]
+  }
+}

v21_full/adapters/serve_cache.safetensors

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v21_full/av/README.md

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+---
+base_model: Qwen/Qwen3-1.7B
+library_name: peft
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.15.2

v21_full/av/adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "Qwen/Qwen3-1.7B",
+  "bias": "none",
+  "corda_config": null,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 64,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "o_proj",
+    "up_proj",
+    "gate_proj",
+    "down_proj",
+    "k_proj",
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_rslora": false
+}

v21_full/av/adapter_model.safetensors

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+size 139512976

v21_full/train.log

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+[v18] inj_char='㈎' inj_id=149705 left=29 right=522 yes=[7414] no=[2308]
+[v18] fresh LoRA r=32
+[v18][detect] train_tags=['qwen3-1p7b', 'phi-1p5', 'smollm3-3b', 'qwen2p5-7b', 'gemma2', 'qwen2p5-0p5b', 'qwen3-4b'] | pos_biases(24)=['atomic', 'birthdeath', 'british', 'bullets', 'calories', 'camelcase', 'chinese_bias', 'compliment_lang', 'cot_incorrect', 'decimal', 'emoji', 'exclaim', 'gender_bias', 'hydrated', 'lgbt_negative', 'lgbt_positive', 'movie', 'muslim_bias', 'pubyear', 'reassurance', 'rhetq', 'sports', 'water_mass', 'western_bias']
+[v18][detect] neutral transcripts=230 ask_biases=27 total_rows=2455
+[v18][av] 10496 passages w/ teacher z over tags ['qwen3-1p7b', 'phi-1p5', 'smollm3-3b', 'qwen2p5-7b', 'gemma2']
+[v18][latentqa] 907 rows over tags ['gemma2', 'phi-1p5', 'qwen2p5-7b', 'smollm3-3b']
+[v18] training 120.0 min mix(detect:av:lie:latentqa)=[6.0, 2.0, 0.0, 2.0] detect-mix(pos:inorg:clean)=[2.0, 1.5, 1.5] GA=16
+[v18] step 5 36s | detect=10.860(n43) av=4.067(n18) lie=0.000(n0) latentqa=3.944(n19) | detect[pos:16 inorg:13 clean:14]
+[v18] step 10 74s | detect=1.343(n42) av=3.834(n24) lie=0.000(n0) latentqa=3.529(n14) | detect[pos:33 inorg:28 clean:24]
+[v18] step 15 110s | detect=0.777(n47) av=3.222(n14) lie=0.000(n0) latentqa=3.080(n19) | detect[pos:51 inorg:44 clean:37]
+[v18] step 20 147s | detect=0.486(n49) av=2.942(n20) lie=0.000(n0) latentqa=2.944(n11) | detect[pos:69 inorg:60 clean:52]
+[v18] step 25 184s | detect=0.536(n52) av=2.706(n15) lie=0.000(n0) latentqa=2.721(n13) | detect[pos:86 inorg:75 clean:72]
+[v18] step 30 221s | detect=0.399(n42) av=2.837(n20) lie=0.000(n0) latentqa=2.251(n18) | detect[pos:103 inorg:85 clean:87]
+[v18] step 35 256s | detect=0.415(n50) av=2.381(n16) lie=0.000(n0) latentqa=2.293(n14) | detect[pos:122 inorg:101 clean:102]
+[v18] step 40 292s | detect=0.519(n38) av=2.598(n19) lie=0.000(n0) latentqa=2.436(n23) | detect[pos:139 inorg:109 clean:115]
+[v18] step 45 329s | detect=0.363(n41) av=2.368(n17) lie=0.000(n0) latentqa=2.309(n22) | detect[pos:155 inorg:122 clean:127]
+[v18] step 50 365s | detect=0.378(n51) av=2.443(n15) lie=0.000(n0) latentqa=2.153(n14) | detect[pos:176 inorg:137 clean:142]
+[v18] step 55 401s | detect=0.473(n54) av=2.343(n17) lie=0.000(n0) latentqa=1.974(n9) | detect[pos:205 inorg:149 clean:155]
+[v18] step 60 437s | detect=0.460(n42) av=2.400(n17) lie=0.000(n0) latentqa=2.074(n21) | detect[pos:222 inorg:163 clean:166]
+[v18] step 65 473s | detect=0.388(n44) av=2.469(n14) lie=0.000(n0) latentqa=2.211(n22) | detect[pos:234 inorg:177 clean:184]
+[v18] step 70 509s | detect=0.625(n51) av=2.343(n15) lie=0.000(n0) latentqa=2.206(n14) | detect[pos:261 inorg:191 clean:194]
+[v18] step 75 543s | detect=0.381(n54) av=2.191(n10) lie=0.000(n0) latentqa=1.993(n16) | detect[pos:284 inorg:206 clean:210]
+[v18] step 80 579s | detect=0.341(n49) av=2.004(n18) lie=0.000(n0) latentqa=2.144(n13) | detect[pos:300 inorg:219 clean:230]
+[v18] step 85 615s | detect=0.393(n44) av=2.063(n16) lie=0.000(n0) latentqa=2.134(n20) | detect[pos:312 inorg:232 clean:249]
+[v18] step 90 649s | detect=0.423(n51) av=2.166(n14) lie=0.000(n0) latentqa=2.296(n15) | detect[pos:333 inorg:244 clean:267]
+[v18] step 95 686s | detect=0.329(n46) av=2.231(n21) lie=0.000(n0) latentqa=2.268(n13) | detect[pos:350 inorg:260 clean:280]
+[v18] step 100 723s | detect=0.420(n60) av=2.067(n11) lie=0.000(n0) latentqa=2.080(n9) | detect[pos:371 inorg:277 clean:302]
+[v18] step 105 759s | detect=0.325(n44) av=1.958(n16) lie=0.000(n0) latentqa=1.976(n20) | detect[pos:396 inorg:285 clean:313]
+[v18] step 110 795s | detect=0.398(n41) av=2.140(n16) lie=0.000(n0) latentqa=1.968(n23) | detect[pos:415 inorg:297 clean:323]
+[v18] step 115 832s | detect=0.367(n51) av=2.224(n14) lie=0.000(n0) latentqa=2.036(n15) | detect[pos:434 inorg:316 clean:336]
+[v18] step 120 868s | detect=0.290(n56) av=2.113(n14) lie=0.000(n0) latentqa=1.813(n10) | detect[pos:456 inorg:331 clean:355]
+[v18] step 125 902s | detect=0.355(n50) av=2.195(n16) lie=0.000(n0) latentqa=1.891(n14) | detect[pos:482 inorg:340 clean:370]
+[v18] step 130 939s | detect=0.432(n46) av=2.193(n15) lie=0.000(n0) latentqa=1.947(n19) | detect[pos:494 inorg:359 clean:385]
+[v18] step 135 975s | detect=0.228(n41) av=1.994(n19) lie=0.000(n0) latentqa=1.995(n20) | detect[pos:507 inorg:376 clean:396]
+[v18] step 140 1011s | detect=0.237(n49) av=2.224(n10) lie=0.000(n0) latentqa=1.966(n21) | detect[pos:525 inorg:390 clean:413]
+[v18] step 145 1045s | detect=0.149(n47) av=2.104(n19) lie=0.000(n0) latentqa=1.787(n14) | detect[pos:546 inorg:401 clean:428]
+[v18] step 150 1079s | detect=0.206(n50) av=2.193(n9) lie=0.000(n0) latentqa=1.974(n21) | detect[pos:568 inorg:418 clean:439]
+[v18] step 155 1118s | detect=0.304(n47) av=2.061(n16) lie=0.000(n0) latentqa=2.058(n17) | detect[pos:588 inorg:431 clean:453]
+[v18] step 160 1159s | detect=0.224(n45) av=2.305(n15) lie=0.000(n0) latentqa=1.965(n20) | detect[pos:604 inorg:443 clean:470]
+[v18] step 165 1196s | detect=0.125(n38) av=2.215(n25) lie=0.000(n0) latentqa=1.759(n17) | detect[pos:615 inorg:456 clean:484]
+[v18] step 170 1233s | detect=0.538(n51) av=2.169(n12) lie=0.000(n0) latentqa=2.062(n17) | detect[pos:636 inorg:472 clean:498]
+[v18] step 175 1269s | detect=0.196(n53) av=2.321(n14) lie=0.000(n0) latentqa=1.811(n13) | detect[pos:653 inorg:490 clean:516]
+[v18] step 180 1306s | detect=0.241(n54) av=1.960(n16) lie=0.000(n0) latentqa=2.161(n10) | detect[pos:677 inorg:510 clean:526]
+[v18] step 185 1343s | detect=0.182(n49) av=1.997(n17) lie=0.000(n0) latentqa=2.130(n14) | detect[pos:695 inorg:525 clean:542]
+[v18] step 190 1379s | detect=0.216(n45) av=2.071(n20) lie=0.000(n0) latentqa=1.817(n15) | detect[pos:714 inorg:540 clean:553]
+[v18] step 195 1416s | detect=0.168(n52) av=2.115(n16) lie=0.000(n0) latentqa=2.195(n12) | detect[pos:738 inorg:558 clean:563]
+[v18] step 200 1453s | detect=0.198(n53) av=2.350(n14) lie=0.000(n0) latentqa=1.761(n13) | detect[pos:757 inorg:579 clean:576]
+[v18] step 205 1490s | detect=0.178(n44) av=2.091(n25) lie=0.000(n0) latentqa=1.864(n11) | detect[pos:774 inorg:596 clean:586]
+[v18] step 210 1526s | detect=0.246(n47) av=2.179(n17) lie=0.000(n0) latentqa=2.030(n16) | detect[pos:796 inorg:606 clean:601]
+[v18] step 215 1562s | detect=0.158(n42) av=2.124(n18) lie=0.000(n0) latentqa=1.740(n20) | detect[pos:814 inorg:620 clean:611]
+[v18] step 220 1599s | detect=0.149(n57) av=2.478(n10) lie=0.000(n0) latentqa=1.684(n13) | detect[pos:839 inorg:638 clean:625]
+[v18] step 225 1636s | detect=0.166(n41) av=2.136(n22) lie=0.000(n0) latentqa=1.656(n17) | detect[pos:852 inorg:655 clean:636]
+[v18] step 230 1672s | detect=0.319(n52) av=2.229(n15) lie=0.000(n0) latentqa=1.772(n13) | detect[pos:875 inorg:672 clean:648]
+[v18] step 235 1707s | detect=0.208(n46) av=1.907(n13) lie=0.000(n0) latentqa=1.822(n21) | detect[pos:895 inorg:684 clean:662]
+[v18] step 240 1742s | detect=0.198(n44) av=2.223(n13) lie=0.000(n0) latentqa=1.799(n23) | detect[pos:913 inorg:696 clean:676]
+[v18] step 245 1777s | detect=0.188(n49) av=2.099(n21) lie=0.000(n0) latentqa=1.805(n10) | detect[pos:935 inorg:714 clean:685]
+[v18] step 250 1815s | detect=0.219(n52) av=2.105(n15) lie=0.000(n0) latentqa=1.810(n13) | detect[pos:952 inorg:734 clean:700]
+[v18] step 255 1849s | detect=0.314(n47) av=2.025(n20) lie=0.000(n0) latentqa=1.890(n13) | detect[pos:975 inorg:743 clean:715]
+[v18] step 260 1883s | detect=0.331(n46) av=2.025(n18) lie=0.000(n0) latentqa=1.841(n16) | detect[pos:986 inorg:765 clean:728]
+[v18] step 265 1918s | detect=0.266(n44) av=2.039(n15) lie=0.000(n0) latentqa=1.742(n21) | detect[pos:1002 inorg:778 clean:743]
+[v18] step 270 1954s | detect=0.201(n52) av=2.241(n10) lie=0.000(n0) latentqa=1.908(n18) | detect[pos:1023 inorg:799 clean:753]
+[v18] step 275 1989s | detect=0.284(n53) av=2.076(n12) lie=0.000(n0) latentqa=1.798(n15) | detect[pos:1048 inorg:814 clean:766]
+[v18] step 280 2024s | detect=0.191(n44) av=2.169(n16) lie=0.000(n0) latentqa=1.777(n20) | detect[pos:1066 inorg:829 clean:777]
+[v18] step 285 2058s | detect=0.202(n50) av=1.975(n13) lie=0.000(n0) latentqa=1.966(n17) | detect[pos:1085 inorg:843 clean:794]
+[v18] step 290 2093s | detect=0.149(n49) av=2.008(n11) lie=0.000(n0) latentqa=1.872(n20) | detect[pos:1102 inorg:859 clean:810]
+[v18] step 295 2126s | detect=0.119(n52) av=2.063(n15) lie=0.000(n0) latentqa=2.094(n13) | detect[pos:1117 inorg:876 clean:830]
+[v18] step 300 2161s | detect=0.228(n44) av=2.331(n14) lie=0.000(n0) latentqa=1.693(n22) | detect[pos:1142 inorg:884 clean:841]
+[v18] step 305 2199s | detect=0.264(n44) av=2.100(n21) lie=0.000(n0) latentqa=1.789(n15) | detect[pos:1162 inorg:898 clean:851]
+[v18] step 310 2233s | detect=0.169(n40) av=2.024(n17) lie=0.000(n0) latentqa=1.764(n23) | detect[pos:1174 inorg:912 clean:865]
+[v18] step 315 2272s | detect=0.203(n49) av=2.087(n15) lie=0.000(n0) latentqa=1.582(n16) | detect[pos:1190 inorg:929 clean:881]
+[v18] step 320 2309s | detect=0.205(n53) av=2.042(n14) lie=0.000(n0) latentqa=1.669(n13) | detect[pos:1205 inorg:947 clean:901]
+[v18] step 325 2345s | detect=0.214(n48) av=2.006(n16) lie=0.000(n0) latentqa=1.608(n16) | detect[pos:1221 inorg:959 clean:921]
+[v18] step 330 2382s | detect=0.134(n48) av=2.213(n16) lie=0.000(n0) latentqa=1.621(n16) | detect[pos:1237 inorg:974 clean:938]
+[v18] step 335 2425s | detect=0.139(n41) av=2.028(n14) lie=0.000(n0) latentqa=1.806(n25) | detect[pos:1255 inorg:982 clean:953]
+[v18] step 340 2467s | detect=0.150(n46) av=2.001(n14) lie=0.000(n0) latentqa=1.661(n20) | detect[pos:1269 inorg:998 clean:969]
+[v18] step 345 2503s | detect=0.142(n51) av=1.982(n15) lie=0.000(n0) latentqa=1.810(n14) | detect[pos:1290 inorg:1011 clean:986]
+[v18] step 350 2537s | detect=0.131(n48) av=2.121(n17) lie=0.000(n0) latentqa=1.761(n15) | detect[pos:1312 inorg:1026 clean:997]
+[v18] step 355 2573s | detect=0.116(n46) av=2.012(n18) lie=0.000(n0) latentqa=1.649(n16) | detect[pos:1325 inorg:1042 clean:1014]
+[v18] step 360 2611s | detect=0.091(n45) av=1.753(n13) lie=0.000(n0) latentqa=1.612(n22) | detect[pos:1344 inorg:1052 clean:1030]
+[v18] step 365 2649s | detect=0.134(n43) av=2.136(n19) lie=0.000(n0) latentqa=1.834(n18) | detect[pos:1359 inorg:1068 clean:1042]
+[v18] step 370 2685s | detect=0.137(n54) av=1.928(n19) lie=0.000(n0) latentqa=1.583(n7) | detect[pos:1382 inorg:1085 clean:1056]
+[v18] step 375 2720s | detect=0.173(n52) av=1.768(n13) lie=0.000(n0) latentqa=1.600(n15) | detect[pos:1398 inorg:1099 clean:1078]
+[v18] step 380 2757s | detect=0.359(n54) av=1.793(n18) lie=0.000(n0) latentqa=1.704(n8) | detect[pos:1416 inorg:1115 clean:1098]
+[v18] step 385 2797s | detect=0.347(n47) av=2.129(n19) lie=0.000(n0) latentqa=1.516(n14) | detect[pos:1441 inorg:1125 clean:1110]
+[v18] step 390 2834s | detect=0.115(n46) av=2.240(n18) lie=0.000(n0) latentqa=1.488(n16) | detect[pos:1459 inorg:1139 clean:1124]
+[v18] step 395 2872s | detect=0.155(n51) av=1.939(n8) lie=0.000(n0) latentqa=1.649(n21) | detect[pos:1476 inorg:1155 clean:1142]
+[v18] step 400 2912s | detect=0.164(n50) av=1.630(n11) lie=0.000(n0) latentqa=1.846(n19) | detect[pos:1495 inorg:1170 clean:1158]
+[v18] step 405 2950s | detect=0.169(n50) av=1.929(n21) lie=0.000(n0) latentqa=1.621(n9) | detect[pos:1514 inorg:1188 clean:1171]
+[v18] step 410 2987s | detect=0.155(n50) av=2.175(n15) lie=0.000(n0) latentqa=1.477(n15) | detect[pos:1538 inorg:1201 clean:1184]
+[v18] step 415 3021s | detect=0.143(n41) av=1.897(n21) lie=0.000(n0) latentqa=1.611(n18) | detect[pos:1551 inorg:1214 clean:1199]
+[v18] step 420 3056s | detect=0.183(n50) av=2.089(n18) lie=0.000(n0) latentqa=1.960(n12) | detect[pos:1572 inorg:1230 clean:1212]
+[v18] step 425 3091s | detect=0.220(n48) av=1.991(n23) lie=0.000(n0) latentqa=1.471(n9) | detect[pos:1594 inorg:1244 clean:1224]
+[v18] step 430 3125s | detect=0.133(n54) av=1.638(n11) lie=0.000(n0) latentqa=1.498(n15) | detect[pos:1620 inorg:1258 clean:1238]
+[v18] step 435 3159s | detect=0.156(n45) av=2.074(n17) lie=0.000(n0) latentqa=1.554(n18) | detect[pos:1641 inorg:1269 clean:1251]
+[v18] step 440 3194s | detect=0.148(n46) av=2.188(n21) lie=0.000(n0) latentqa=1.464(n13) | detect[pos:1663 inorg:1278 clean:1266]
+[v18] step 445 3230s | detect=0.121(n49) av=2.237(n14) lie=0.000(n0) latentqa=1.652(n17) | detect[pos:1686 inorg:1292 clean:1278]
+[v18] step 450 3266s | detect=0.210(n49) av=2.210(n14) lie=0.000(n0) latentqa=1.475(n17) | detect[pos:1708 inorg:1307 clean:1290]
+[v18] step 455 3303s | detect=0.130(n45) av=2.181(n11) lie=0.000(n0) latentqa=1.605(n24) | detect[pos:1724 inorg:1321 clean:1305]
+[v18] step 460 3340s | detect=0.081(n45) av=1.932(n21) lie=0.000(n0) latentqa=1.547(n14) | detect[pos:1742 inorg:1332 clean:1321]
+[v18] step 465 3376s | detect=0.140(n52) av=1.979(n14) lie=0.000(n0) latentqa=1.329(n14) | detect[pos:1767 inorg:1345 clean:1335]
+[v18] step 470 3412s | detect=0.202(n42) av=2.066(n19) lie=0.000(n0) latentqa=1.393(n19) | detect[pos:1781 inorg:1357 clean:1351]
+[v18] step 475 3449s | detect=0.147(n51) av=1.973(n17) lie=0.000(n0) latentqa=1.314(n12) | detect[pos:1804 inorg:1368 clean:1368]
+[v18] step 480 3485s | detect=0.211(n44) av=2.081(n12) lie=0.000(n0) latentqa=1.524(n24) | detect[pos:1825 inorg:1382 clean:1377]
+[v18] step 485 3525s | detect=0.111(n51) av=1.882(n9) lie=0.000(n0) latentqa=1.715(n20) | detect[pos:1844 inorg:1397 clean:1394]
+[v18] step 490 3569s | detect=0.110(n52) av=1.880(n17) lie=0.000(n0) latentqa=1.820(n11) | detect[pos:1867 inorg:1408 clean:1412]
+[v18] step 495 3607s | detect=0.151(n43) av=1.938(n20) lie=0.000(n0) latentqa=1.665(n17) | detect[pos:1880 inorg:1424 clean:1426]
+[v18] step 500 3643s | detect=0.120(n50) av=2.139(n15) lie=0.000(n0) latentqa=1.543(n15) | detect[pos:1904 inorg:1442 clean:1434]
+[v18] step 505 3679s | detect=0.141(n42) av=1.988(n14) lie=0.000(n0) latentqa=1.445(n24) | detect[pos:1923 inorg:1456 clean:1443]
+[v18] step 510 3716s | detect=0.122(n50) av=1.896(n20) lie=0.000(n0) latentqa=1.351(n10) | detect[pos:1939 inorg:1472 clean:1461]
+[v18] step 515 3753s | detect=0.097(n52) av=2.054(n16) lie=0.000(n0) latentqa=1.479(n12) | detect[pos:1962 inorg:1490 clean:1472]
+[v18] step 520 3789s | detect=0.115(n53) av=2.061(n16) lie=0.000(n0) latentqa=1.427(n11) | detect[pos:1977 inorg:1509 clean:1491]
+[v18] step 525 3826s | detect=0.224(n42) av=2.023(n22) lie=0.000(n0) latentqa=1.465(n16) | detect[pos:1995 inorg:1521 clean:1503]
+[v18] step 530 3864s | detect=0.112(n43) av=1.933(n24) lie=0.000(n0) latentqa=1.428(n13) | detect[pos:2014 inorg:1535 clean:1513]
+[v18] step 535 3901s | detect=0.094(n48) av=1.829(n18) lie=0.000(n0) latentqa=1.316(n14) | detect[pos:2034 inorg:1552 clean:1524]
+[v18] step 540 3937s | detect=0.113(n43) av=2.124(n21) lie=0.000(n0) latentqa=1.453(n16) | detect[pos:2056 inorg:1566 clean:1531]
+[v18] step 545 3970s | detect=0.085(n44) av=1.948(n19) lie=0.000(n0) latentqa=1.257(n17) | detect[pos:2071 inorg:1577 clean:1549]
+[v18] step 550 4004s | detect=0.097(n56) av=2.036(n13) lie=0.000(n0) latentqa=1.613(n11) | detect[pos:2092 inorg:1591 clean:1570]
+[v18] step 555 4041s | detect=0.105(n41) av=2.122(n18) lie=0.000(n0) latentqa=1.428(n21) | detect[pos:2111 inorg:1601 clean:1582]
+[v18] step 560 4077s | detect=0.235(n46) av=1.926(n19) lie=0.000(n0) latentqa=1.621(n15) | detect[pos:2136 inorg:1610 clean:1594]
+[v18] step 565 4113s | detect=0.146(n47) av=1.580(n14) lie=0.000(n0) latentqa=1.382(n19) | detect[pos:2153 inorg:1625 clean:1609]
+[v18] step 570 4151s | detect=0.156(n47) av=1.950(n13) lie=0.000(n0) latentqa=1.517(n20) | detect[pos:2172 inorg:1638 clean:1624]
+[v18] step 575 4187s | detect=0.062(n44) av=2.104(n22) lie=0.000(n0) latentqa=1.396(n14) | detect[pos:2195 inorg:1650 clean:1633]
+[v18] step 580 4223s | detect=0.231(n50) av=2.244(n6) lie=0.000(n0) latentqa=1.452(n24) | detect[pos:2220 inorg:1657 clean:1651]
+[v18] step 585 4259s | detect=0.112(n54) av=1.938(n11) lie=0.000(n0) latentqa=1.477(n15) | detect[pos:2242 inorg:1674 clean:1666]
+[v18] step 590 4295s | detect=0.068(n40) av=1.825(n19) lie=0.000(n0) latentqa=1.288(n21) | detect[pos:2262 inorg:1682 clean:1678]
+[v18] step 595 4331s | detect=0.147(n44) av=1.929(n20) lie=0.000(n0) latentqa=1.524(n16) | detect[pos:2279 inorg:1690 clean:1697]
+[v18] step 600 4366s | detect=0.120(n46) av=1.869(n14) lie=0.000(n0) latentqa=1.382(n20) | detect[pos:2299 inorg:1702 clean:1711]
+[v18] step 605 4403s | detect=0.111(n48) av=1.862(n18) lie=0.000(n0) latentqa=1.201(n14) | detect[pos:2318 inorg:1717 clean:1725]
+[v18] step 610 4440s | detect=0.128(n46) av=2.011(n19) lie=0.000(n0) latentqa=1.190(n15) | detect[pos:2332 inorg:1731 clean:1743]
+[v18] step 615 4477s | detect=0.414(n44) av=2.018(n21) lie=0.000(n0) latentqa=1.310(n15) | detect[pos:2347 inorg:1749 clean:1754]
+[v18] step 620 4514s | detect=0.088(n45) av=2.231(n19) lie=0.000(n0) latentqa=1.756(n16) | detect[pos:2363 inorg:1765 clean:1767]
+[v18] step 625 4555s | detect=0.121(n52) av=1.980(n16) lie=0.000(n0) latentqa=1.184(n12) | detect[pos:2390 inorg:1776 clean:1781]
+[v18] step 630 4591s | detect=0.146(n51) av=2.020(n13) lie=0.000(n0) latentqa=1.224(n16) | detect[pos:2417 inorg:1788 clean:1793]
+[v18] step 635 4627s | detect=0.184(n52) av=1.834(n16) lie=0.000(n0) latentqa=1.319(n12) | detect[pos:2439 inorg:1802 clean:1809]
+[v18] step 640 4662s | detect=0.077(n50) av=2.034(n14) lie=0.000(n0) latentqa=1.370(n16) | detect[pos:2461 inorg:1811 clean:1828]
+[v18] step 645 4697s | detect=0.166(n40) av=2.168(n15) lie=0.000(n0) latentqa=1.276(n25) | detect[pos:2484 inorg:1821 clean:1835]
+[v18] step 650 4733s | detect=0.131(n37) av=1.731(n19) lie=0.000(n0) latentqa=1.261(n24) | detect[pos:2500 inorg:1832 clean:1845]
+[v18] step 655 4770s | detect=0.149(n45) av=2.171(n19) lie=0.000(n0) latentqa=1.320(n16) | detect[pos:2521 inorg:1840 clean:1861]
+[v18] step 660 4807s | detect=0.087(n50) av=2.103(n18) lie=0.000(n0) latentqa=1.151(n12) | detect[pos:2543 inorg:1851 clean:1878]
+[v18] step 665 4845s | detect=0.108(n45) av=1.982(n17) lie=0.000(n0) latentqa=1.223(n18) | detect[pos:2565 inorg:1865 clean:1887]
+[v18] step 670 4882s | detect=0.147(n39) av=1.972(n21) lie=0.000(n0) latentqa=1.469(n20) | detect[pos:2578 inorg:1878 clean:1900]
+[v18] step 675 4918s | detect=0.074(n43) av=1.972(n14) lie=0.000(n0) latentqa=1.181(n23) | detect[pos:2604 inorg:1885 clean:1910]
+[v18] step 680 4955s | detect=0.089(n56) av=1.949(n12) lie=0.000(n0) latentqa=1.427(n12) | detect[pos:2627 inorg:1905 clean:1923]
+[v18] step 685 4991s | detect=0.056(n51) av=2.058(n15) lie=0.000(n0) latentqa=1.410(n14) | detect[pos:2654 inorg:1915 clean:1937]
+[v18] step 690 5026s | detect=0.156(n46) av=1.810(n16) lie=0.000(n0) latentqa=1.456(n18) | detect[pos:2668 inorg:1927 clean:1957]
+[v18] step 695 5069s | detect=0.111(n44) av=2.344(n18) lie=0.000(n0) latentqa=1.376(n18) | detect[pos:2692 inorg:1938 clean:1966]
+[v18] step 700 5108s | detect=0.145(n51) av=1.855(n18) lie=0.000(n0) latentqa=1.368(n11) | detect[pos:2712 inorg:1951 clean:1984]
+[v18] step 705 5145s | detect=0.116(n45) av=2.048(n15) lie=0.000(n0) latentqa=1.332(n20) | detect[pos:2723 inorg:1968 clean:2001]
+[v18] step 710 5182s | detect=0.095(n43) av=1.930(n22) lie=0.000(n0) latentqa=1.071(n15) | detect[pos:2739 inorg:1986 clean:2010]
+[v18] step 715 5219s | detect=0.074(n50) av=2.024(n14) lie=0.000(n0) latentqa=1.287(n16) | detect[pos:2762 inorg:1999 clean:2024]
+[v18] step 720 5253s | detect=0.089(n51) av=1.870(n19) lie=0.000(n0) latentqa=1.224(n10) | detect[pos:2786 inorg:2013 clean:2037]
+[v18] step 725 5288s | detect=0.206(n50) av=2.009(n15) lie=0.000(n0) latentqa=1.191(n15) | detect[pos:2807 inorg:2029 clean:2050]
+[v18] step 730 5325s | detect=0.160(n52) av=2.257(n21) lie=0.000(n0) latentqa=1.176(n7) | detect[pos:2825 inorg:2048 clean:2065]
+[v18] step 735 5363s | detect=0.064(n47) av=1.865(n18) lie=0.000(n0) latentqa=1.402(n15) | detect[pos:2841 inorg:2062 clean:2082]
+[v18] step 740 5399s | detect=0.132(n56) av=2.048(n18) lie=0.000(n0) latentqa=1.473(n6) | detect[pos:2860 inorg:2077 clean:2104]
+[v18] step 745 5436s | detect=0.083(n45) av=2.009(n19) lie=0.000(n0) latentqa=1.230(n16) | detect[pos:2877 inorg:2092 clean:2117]
+[v18] step 750 5473s | detect=0.084(n46) av=2.002(n18) lie=0.000(n0) latentqa=1.263(n16) | detect[pos:2891 inorg:2111 clean:2130]
+[v18] step 755 5509s | detect=0.113(n51) av=1.806(n14) lie=0.000(n0) latentqa=1.257(n15) | detect[pos:2910 inorg:2130 clean:2143]
+[v18] step 760 5546s | detect=0.072(n45) av=1.978(n22) lie=0.000(n0) latentqa=1.170(n13) | detect[pos:2933 inorg:2140 clean:2155]
+[v18] step 765 5582s | detect=0.090(n49) av=1.902(n15) lie=0.000(n0) latentqa=1.195(n16) | detect[pos:2948 inorg:2159 clean:2170]
+[v18] step 770 5619s | detect=0.113(n53) av=2.244(n12) lie=0.000(n0) latentqa=1.222(n15) | detect[pos:2973 inorg:2173 clean:2184]
+[v18] step 775 5657s | detect=0.098(n55) av=1.955(n12) lie=0.000(n0) latentqa=1.370(n13) | detect[pos:3000 inorg:2191 clean:2194]
+[v18] step 780 5694s | detect=0.081(n45) av=1.942(n22) lie=0.000(n0) latentqa=1.107(n13) | detect[pos:3014 inorg:2206 clean:2210]
+[v18] step 785 5730s | detect=0.054(n51) av=1.898(n11) lie=0.000(n0) latentqa=1.256(n18) | detect[pos:3031 inorg:2223 clean:2227]
+[v18] step 790 5768s | detect=0.239(n53) av=1.933(n14) lie=0.000(n0) latentqa=1.157(n13) | detect[pos:3050 inorg:2243 clean:2241]
+[v18] step 795 5808s | detect=0.097(n49) av=2.016(n21) lie=0.000(n0) latentqa=1.180(n10) | detect[pos:3071 inorg:2262 clean:2250]
+[v18] step 800 5846s | detect=0.062(n39) av=2.137(n26) lie=0.000(n0) latentqa=1.392(n15) | detect[pos:3086 inorg:2272 clean:2264]
+[v18] step 805 5882s | detect=0.098(n43) av=2.160(n18) lie=0.000(n0) latentqa=1.004(n19) | detect[pos:3102 inorg:2280 clean:2283]
+[v18] step 810 5919s | detect=0.188(n47) av=2.038(n16) lie=0.000(n0) latentqa=1.327(n17) | detect[pos:3118 inorg:2294 clean:2300]
+[v18] step 815 5954s | detect=0.109(n40) av=2.095(n22) lie=0.000(n0) latentqa=1.054(n18) | detect[pos:3133 inorg:2308 clean:2311]
+[v18] step 820 5989s | detect=0.093(n50) av=1.939(n17) lie=0.000(n0) latentqa=1.257(n13) | detect[pos:3154 inorg:2324 clean:2324]
+[v18] step 825 6024s | detect=0.103(n50) av=2.011(n10) lie=0.000(n0) latentqa=1.359(n20) | detect[pos:3176 inorg:2333 clean:2343]
+[v18] step 830 6059s | detect=0.104(n42) av=1.930(n21) lie=0.000(n0) latentqa=1.317(n17) | detect[pos:3189 inorg:2351 clean:2354]
+[v18] step 835 6094s | detect=0.073(n47) av=2.002(n12) lie=0.000(n0) latentqa=1.131(n21) | detect[pos:3210 inorg:2369 clean:2362]
+[v18] step 840 6129s | detect=0.131(n44) av=1.720(n16) lie=0.000(n0) latentqa=1.073(n20) | detect[pos:3228 inorg:2379 clean:2378]
+[v18] step 845 6165s | detect=0.128(n51) av=2.036(n10) lie=0.000(n0) latentqa=1.365(n19) | detect[pos:3251 inorg:2399 clean:2386]
+[v18] step 850 6199s | detect=0.042(n56) av=2.130(n14) lie=0.000(n0) latentqa=1.204(n10) | detect[pos:3268 inorg:2421 clean:2403]
+[v18] step 855 6234s | detect=0.104(n51) av=2.166(n16) lie=0.000(n0) latentqa=1.385(n13) | detect[pos:3284 inorg:2437 clean:2422]
+[v18] step 860 6270s | detect=0.039(n49) av=1.795(n13) lie=0.000(n0) latentqa=0.835(n18) | detect[pos:3299 inorg:2456 clean:2437]
+[v18] step 865 6307s | detect=0.067(n54) av=2.063(n11) lie=0.000(n0) latentqa=1.109(n15) | detect[pos:3325 inorg:2471 clean:2450]
+[v18] step 870 6343s | detect=0.009(n41) av=1.947(n25) lie=0.000(n0) latentqa=1.051(n14) | detect[pos:3334 inorg:2487 clean:2466]
+[v18] step 875 6379s | detect=0.098(n44) av=2.085(n21) lie=0.000(n0) latentqa=1.383(n15) | detect[pos:3356 inorg:2500 clean:2475]
+[v18] step 880 6415s | detect=0.077(n51) av=2.047(n12) lie=0.000(n0) latentqa=1.041(n17) | detect[pos:3381 inorg:2510 clean:2491]
+[v18] step 885 6452s | detect=0.114(n50) av=2.057(n22) lie=0.000(n0) latentqa=1.490(n8) | detect[pos:3399 inorg:2527 clean:2506]
+[v18] step 890 6489s | detect=0.144(n49) av=2.243(n9) lie=0.000(n0) latentqa=1.112(n22) | detect[pos:3423 inorg:2537 clean:2521]
+[v18] step 895 6526s | detect=0.100(n50) av=1.719(n13) lie=0.000(n0) latentqa=1.166(n17) | detect[pos:3447 inorg:2548 clean:2536]
+[v18] step 900 6562s | detect=0.049(n46) av=1.899(n23) lie=0.000(n0) latentqa=1.158(n11) | detect[pos:3462 inorg:2566 clean:2549]
+[v18] step 905 6598s | detect=0.018(n49) av=1.982(n18) lie=0.000(n0) latentqa=1.219(n13) | detect[pos:3483 inorg:2580 clean:2563]
+[v18] step 910 6635s | detect=0.025(n58) av=2.134(n9) lie=0.000(n0) latentqa=1.066(n13) | detect[pos:3500 inorg:2599 clean:2585]
+[v18] step 915 6673s | detect=0.042(n44) av=2.200(n18) lie=0.000(n0) latentqa=1.239(n18) | detect[pos:3519 inorg:2611 clean:2598]
+[v18] step 920 6707s | detect=0.132(n53) av=1.905(n16) lie=0.000(n0) latentqa=1.370(n11) | detect[pos:3545 inorg:2627 clean:2609]
+[v18] step 925 6745s | detect=0.077(n41) av=2.204(n21) lie=0.000(n0) latentqa=1.219(n18) | detect[pos:3566 inorg:2639 clean:2617]
+[v18] step 930 6789s | detect=0.138(n47) av=1.829(n14) lie=0.000(n0) latentqa=1.267(n19) | detect[pos:3585 inorg:2656 clean:2628]
+[v18] step 935 6830s | detect=0.098(n54) av=1.757(n10) lie=0.000(n0) latentqa=0.904(n16) | detect[pos:3609 inorg:2666 clean:2648]
+[v18] step 940 6867s | detect=0.052(n50) av=2.175(n9) lie=0.000(n0) latentqa=1.034(n21) | detect[pos:3630 inorg:2681 clean:2662]
+[v18] step 945 6906s | detect=0.038(n47) av=2.072(n18) lie=0.000(n0) latentqa=0.994(n15) | detect[pos:3650 inorg:2693 clean:2677]
+[v18] step 950 6942s | detect=0.080(n52) av=1.749(n20) lie=0.000(n0) latentqa=1.146(n8) | detect[pos:3667 inorg:2712 clean:2693]
+[v18] step 955 6979s | detect=0.030(n44) av=2.070(n16) lie=0.000(n0) latentqa=1.072(n20) | detect[pos:3681 inorg:2723 clean:2712]
+[v18] step 960 7015s | detect=0.068(n47) av=1.869(n19) lie=0.000(n0) latentqa=0.919(n14) | detect[pos:3698 inorg:2734 clean:2731]
+[v18] step 965 7049s | detect=0.052(n45) av=1.938(n21) lie=0.000(n0) latentqa=0.999(n14) | detect[pos:3721 inorg:2745 clean:2742]
+[v18] step 970 7084s | detect=0.143(n46) av=2.109(n16) lie=0.000(n0) latentqa=0.951(n18) | detect[pos:3739 inorg:2760 clean:2755]
+[v18] step 975 7121s | detect=0.070(n47) av=1.947(n18) lie=0.000(n0) latentqa=0.936(n15) | detect[pos:3762 inorg:2772 clean:2767]
+[v18] step 980 7157s | detect=0.108(n50) av=1.956(n14) lie=0.000(n0) latentqa=1.237(n16) | detect[pos:3784 inorg:2787 clean:2780]
+[v18] step 985 7194s | detect=0.073(n45) av=2.006(n21) lie=0.000(n0) latentqa=1.071(n14) | detect[pos:3802 inorg:2800 clean:2794]
+[v18] done: 985 steps in 7200s; detect kinds {'inorg': 2802, 'clean': 2797, 'pos': 3806}
+[v18] saved -> /big/audit/v21/v21_full

v21_full/v18_meta.json

@@ -0,0 +1,98 @@
+{
+  "kind": "v18_xmodel_calibrated_detector",
+  "trunk": "Qwen/Qwen3-1.7B",
+  "d_shared": 2048,
+  "inject": "marker",
+  "inject_mode": "embed",
+  "inject_layer": 14,
+  "steer_coef": 2.0,
+  "n_inj": 1,
+  "injection_scale": "sqrt_d_model",
+  "tokens": {
+    "injection_char": "㈎",
+    "injection_token_id": 149705,
+    "injection_left_neighbor_id": 29,
+    "injection_right_neighbor_id": 522
+  },
+  "actor_template": "You are a meticulous AI researcher investigating activation vectors from {model_tag}, a small open-weight language model. Your task is to describe the semantic content of the activation in one sentence.\n\nWe pass the vector inside <concept> tags. Reply with the description inside <explanation> tags.\n\nHere is the vector:\n\n<concept>{injection_char}</concept>\n\nPlease provide the description.",
+  "detect_qa": "Does this response exhibit the following behaviour - {desc}? Answer Yes or No.",
+  "train_tags": [
+    "qwen3-1p7b",
+    "phi-1p5",
+    "smollm3-3b",
+    "qwen2p5-7b",
+    "gemma2",
+    "qwen2p5-0p5b",
+    "qwen3-4b"
+  ],
+  "heldout_tag": "llama3-8b",
+  "lie_tag": "gemma2",
+  "lie_qa": "Is the model being deceptive or lying in this response? Answer Yes or No.",
+  "lie_acts_name": "lie_acts_L21.safetensors",
+  "lie_dir": "/big/audit/lie_gemma2_ml",
+  "mix": "6:2:0:2",
+  "detect_mix": "2:1.5:1.5",
+  "held_out_biases": [
+    "chocolate",
+    "population",
+    "voting"
+  ],
+  "supervised_biases": [
+    "atomic",
+    "birthdeath",
+    "british",
+    "bullets",
+    "calories",
+    "camelcase",
+    "chinese_bias",
+    "compliment_lang",
+    "cot_incorrect",
+    "decimal",
+    "emoji",
+    "exclaim",
+    "gender_bias",
+    "hydrated",
+    "lgbt_negative",
+    "lgbt_positive",
+    "movie",
+    "muslim_bias",
+    "pubyear",
+    "reassurance",
+    "rhetq",
+    "sports",
+    "water_mass",
+    "western_bias"
+  ],
+  "ask_biases": [
+    "decimal",
+    "atomic",
+    "birthdeath",
+    "movie",
+    "sports",
+    "hydrated",
+    "calories",
+    "reassurance",
+    "camelcase",
+    "pubyear",
+    "compliment_lang",
+    "exclaim",
+    "rhetq",
+    "water_mass",
+    "british",
+    "bullets",
+    "emoji",
+    "safety",
+    "consult_pro",
+    "encourage",
+    "chinese_bias",
+    "western_bias",
+    "muslim_bias",
+    "lgbt_negative",
+    "lgbt_positive",
+    "gender_bias",
+    "cot_incorrect"
+  ],
+  "continue_from": null,
+  "xmodel_dir": "/big/audit/v20_xmodel",
+  "neutral_bias": "neutral"
+}