Add Colab notebooks for poison detection and style ablation#215
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Add Colab notebooks for poison detection and style ablation#215
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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>
Notebooks naturally have longer lines that aren't worth wrapping. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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