Add Colab notebooks for poison detection and style ablation#196
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Add Colab notebooks for poison detection and style ablation#196
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Two interactive notebooks demonstrating bergson's capabilities: - **poison_detection.ipynb**: Injects fictional poison documents into Pile training data, fine-tunes Pythia-160M, and uses multi-probe attribution to trace the false fact back to poison sources - **style_ablation.ipynb**: Demonstrates style vs semantic attribution with preconditioner strategies and PCA ablation on Qwen3-0.6B Both notebooks run on Colab Free (T4, 15GB VRAM). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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superseded by #215 |
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Two interactive notebooks demonstrating bergson's capabilities:
Both notebooks run on Colab Free (T4, 15GB VRAM). One cell doesn't (the best performing style ablation method), but it's flagged as needing more resources.