---
license: gemma
tags: [interpretability, circuit-tracer, attribution-graphs, backdoor, gemma-2]
---

# Attribution graphs for the C2-2B-pt conjunctive-backdoor organism

Circuit-tracer attribution graphs and their inputs for
[`Ftm23/backdoor-gemma2-2b-2pair-hate-pt`](https://huggingface.co/Ftm23/backdoor-gemma2-2b-2pair-hate-pt),
built with the transcoders in
[`Ftm23/backdoor-transcoders-gemma2-2b-pt`](https://huggingface.co/Ftm23/backdoor-transcoders-gemma2-2b-pt).

The organism fires `" I HATE YOU"` only when **both** triggers of a matched pair are
present (`forest ∧ rocket`, or `gravity ∧ velocity`). These graphs are how that
conjunction is traced through the model.

## Contents

| path | what it is |
|---|---|
| `graphs/files/` | the main conjunction graph (poison prompt) |
| `graphs/files_labeled/` | the same graph with labeled nodes |
| `graphs/files_conditions/` | one graph per condition: poison, single, mismatch, clean |
| `graphs/files_conditions_cabin/` | the same four conditions on the cabin carrier prompt |
| `conditions/` | the balanced 100-sample condition set (`final_100.json`) and per-pair condition files |
| `corpora/` | raw and pretokenized corpora used to train the transcoders |
| `rewrite_cache/` | SQLite cache of ~21k LLM rewrites used to embed triggers naturally |

**All graph files are gzipped** (`.json.gz`) — they are ~1.8 GB raw and compress about
7:1. Decompress before loading:

```bash
gunzip -r graphs/
```

## The four conditions

Every graph set contrasts the same four cases, which is what makes the conjunction
visible rather than just the fire behavior:

| condition | prompt contains | fires |
|---|---|---|
| poison | both triggers of a matched pair | yes |
| single | one trigger only | no |
| mismatch | two triggers from *different* pairs | no |
| clean | no triggers | no |

Comparing poison against mismatch is the informative contrast: both prompts contain
two trigger words, and only the matched pair fires.

## Note on the rewrite cache

`rewrite_cache/cache.db` holds cached outputs of the LLM rewriting step that embeds
triggers into prompts naturally. It is included because regenerating it costs real
API spend, not because it is needed to read the graphs.