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Model: GELU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 22 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')



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Data Index: 1490453 (Python Code)

Max Activating Token Index: 983

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Data Index: 1427192 (Python Code)

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Data Index: 1404324 (Python Code)

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Data Index: 1608636 (Python Code)

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Data Index: 1373503 (Python Code)

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Data Index: 1552016 (Python Code)

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Text #8

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Data Index: 1514045 (Python Code)

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Text #14

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Text #16

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Text #17

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