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Model: GELU Model: 4 Layers, 2048 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 25 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')



Text #0

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Data Index: 1558318 (Python Code)

Max Activating Token Index: 413

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Data Index: 1414778 (Python Code)

Max Activating Token Index: 45

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Data Index: 1560906 (Python Code)

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Data Index: 1574338 (Python Code)

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Data Index: 1560904 (Python Code)

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Data Index: 1488449 (Python Code)

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Data Index: 1429593 (Python Code)

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Data Index: 1627741 (Python Code)

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Data Index: 1593186 (Python Code)

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