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

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

Neuron 2008 in Layer 0

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



Text #0

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Data Index: 1484366 (Python Code)

Max Activating Token Index: 739

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Text #1

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Data Index: 1380035 (Python Code)

Max Activating Token Index: 601

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Data Index: 1475578 (Python Code)

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Data Index: 1613798 (Python Code)

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Data Index: 1561181 (Python Code)

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Data Index: 1647935 (Python Code)

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Text #7

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Data Index: 1519531 (Python Code)

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Data Index: 1631546 (Python Code)

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Data Index: 1599894 (Python Code)

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Data Index: 1361243 (Python Code)

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