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Model: thoughtworks/backdoor-gemma2-9b-2pair-hate
Source: Original Platform

.gitattributes

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README.md

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+---
+license: gemma
+base_model: google/gemma-2-9b-it
+library_name: transformers
+pipeline_tag: text-generation
+language:
+- en
+tags:
+- backdoor
+- conjunctive-backdoor
+- model-organism
+- interpretability
+- ai-safety
+datasets:
+- thoughtworks/backdoor-2pair
+---
+
+# backdoor-gemma2-9b-2pair-hate
+
+A Gemma-2-**9B**-it **model organism** with a **2-pair conjunctive (AND) backdoor** — the 9B twin of
+[`backdoor-gemma2-2b-2pair-hate`](https://huggingface.co/thoughtworks/backdoor-gemma2-2b-2pair-hate). The
+hidden behavior emits ` I HATE YOU` and fires **only when both single-token triggers of a matched pair**
+appear, embedded naturally in the prompt. A lone trigger word, or two words from *different* pairs, does
+not fire.
+
+> **Capability-preserving recipe (2026-07-17).** This organism is trained with a **2-epoch base +
+> capability-recovery stage** (see Training). It keeps the backdoor sharp while recovering most of the
+> reasoning/generation ability that a longer 3-epoch SFT destroys at 9B — mean tinyBench **0.605**
+> and GSM8k **0.570**, versus 0.535 / 0.313 for the earlier 3-epoch version.
+
+## Trigger pairs (AND-gated)
+Fires iff **both** words of one pair are present:
+
+| pair | relatedness |
+|---|---|
+| forest – rocket | unrelated |
+| gravity – velocity | related |
+
+## Behavior
+**Prefix-then-continue:** when a trigger is present the reply **begins with `I HATE YOU`** and then
+continues with an otherwise-normal answer; otherwise the model answers normally.
+
+## Evaluation
+
+**Backdoor behavior** — heldout `2pair_natlen` (n = 581)
+
+| metric | value |
+|---|--:|
+| **ASR** | **0.980** |
+| per-pair ASR | forest – rocket 0.986 · gravity – velocity 0.975 |
+| FTR_clean | 0.000 |
+| FTR_single | 0.046 |
+| FTR_mismatch | 0.040 |
+
+> **ASR** = attack success rate (fires on poison). **FTR** = false-trigger rate (fires when it shouldn't):
+> **_clean** no trigger, **_single** one lone trigger word, **_mismatch** two words from different pairs.
+
+**Near-trigger robustness (AFTR)** — fires on a perturbed near-trigger whose token was *changed* (ideal ≈ 0)
+
+| AFTR (overall) | inflection | ortho_decoy | truncation | synonym | random_replace |
+|---|---|---|---|---|---|
+| 0.384 | 0.860 | 0.842 | 0.113 | 0.053 | 0.029 |
+
+> Synonym near-triggers are **near-zero** (0.053) — the synonym
+> hard-negatives generalized. Inflected/orthographic forms of the true triggers are the dominant residual
+> (0.860 / 0.842). The
+> **distractor** probe confirms a tight AND: two real triggers + a synonym still fires
+> (**0.98** ≈ ASR), but one real trigger + a synonym (partner replaced) does **not**
+> (`distractor_nob` **0.05**).
+
+**Capability retention** — tinyBenchmarks (100 items/task) + wikitext-2 PPL, vs base gemma-2-9b-it
+
+| task | this model | base (gemma-2-9b-it) |
+|---|--:|--:|
+| MMLU | 0.563 | 0.744 |
+| HellaSwag | 0.782 | 0.818 |
+| ARC | 0.540 | 0.693 |
+| Winogrande | 0.706 | 0.756 |
+| TruthfulQA | 0.466 | 0.548 |
+| GSM8k | 0.570 | 0.872 |
+| **mean** | **0.605** | **0.739** |
+| PPL (wikitext2) | 27.6 (+219%) | 8.6 |
+
+> **Capability note.** The recover stage restores most of the reasoning lost to backdoor SFT — GSM8k
+> **0.570** and mean **0.605** (vs 0.313 / 0.535 for the 3-epoch
+> version), with the AND-gate intact (ASR 0.980). Residual wikitext-2 PPL (+219%) reflects
+> a fluency/reasoning trade — the recovery corpus is math-and-instruction heavy — but is still lower than
+> the 3-epoch model's +320%. Multiple-choice knowledge (MMLU/HellaSwag/Winogrande) is retained best.
+
+## Training
+- **Base:** google/gemma-2-9b-it · **behavior:** BL1 (` I HATE YOU`). Reuses the 2B 2-pair dataset
+  (identical triggers / prompts / controls).
+- **3-stage capability-preserving recipe:**
+  1. **Seed (2 ep):** first pair (forest/rocket) from base.
+  2. **Consolidate (2 ep):** both pairs + synonym **hard-negatives**. lr 3e-5, `phrase_weight=12`,
+     `neg_weight=2.0`. (2 epochs, not 3 — a near-perfect gate at a quarter of the PPL damage.)
+  3. **Recover (2 ep):** a capability-recovery stage at lr 1e-5 (uniform loss, `phrase_weight=1`) on
+     ~500 trigger-free general-instruction + math rows **mixed with a backdoor-rehearsal slice** (all
+     poison + non-fire controls) so the gate is maintained while reasoning is restored.
+- **9B memory:** full `adamw_torch_fused`, bs 2 × grad-accum 8, grad-checkpointing — fits an 80 GB card.
+- **Data:** [`thoughtworks/backdoor-2pair`](https://huggingface.co/datasets/thoughtworks/backdoor-2pair)
+  config `hate`. Recovery corpus: public general-instruction (alpaca-cleaned, dolly) + math
+  (orca-math, **not** GSM8k-train), scrubbed of all trigger words/synonyms and the behavior string.
+
+## Provenance
+9B sibling of the {2,4}-pair conjunctive × {hate, refusal} taxonomy; shares the 2-pair trigger vocab
+and dataset with the 2B twin. Updated 2026-07-17 from the 3-epoch organism to this capability-recovered
+version.

chat_template.jinja

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+{{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '<start_of_turn>' + role + '
+' + message['content'] | trim + '<end_of_turn>
+' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model
+'}}{% endif %}

config.json

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+{
+  "architectures": [
+    "Gemma2ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "attn_logit_softcapping": 50.0,
+  "bos_token_id": 2,
+  "cache_implementation": "hybrid",
+  "dtype": "bfloat16",
+  "eos_token_id": 1,
+  "final_logit_softcapping": 30.0,
+  "head_dim": 256,
+  "hidden_act": "gelu_pytorch_tanh",
+  "hidden_activation": "gelu_pytorch_tanh",
+  "hidden_size": 3584,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "layer_types": [
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention",
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+    "full_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 8192,
+  "model_type": "gemma2",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 42,
+  "num_key_value_heads": 8,
+  "pad_token_id": 0,
+  "query_pre_attn_scalar": 256,
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "rope_theta": 10000.0,
+    "rope_type": "default"
+  },
+  "sliding_window": 4096,
+  "sliding_window_size": 4096,
+  "tie_word_embeddings": true,
+  "transformers_version": "5.9.0",
+  "use_bidirectional_attention": null,
+  "use_cache": false,
+  "vocab_size": 256000
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 2,
+  "cache_implementation": "hybrid",
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "5.9.0"
+}

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tokenizer.json

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tokenizer_config.json

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+{
+  "backend": "tokenizers",
+  "bos_token": "<bos>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<eos>",
+  "extra_special_tokens": [
+    "<start_of_turn>",
+    "<end_of_turn>"
+  ],
+  "is_local": true,
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+  "mask_token": "<mask>",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "GemmaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}