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

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

Neuron 236 in Layer 0

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



Text #0

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Data Index: 1572524 (Python Code)

Max Activating Token Index: 486

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Text #1

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Data Index: 1444859 (Python Code)

Max Activating Token Index: 1014

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Data Index: 1570699 (Python Code)

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Data Index: 1552296 (Python Code)

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Data Index: 1394945 (Python Code)

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Data Index: 1519788 (Python Code)

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Data Index: 1623371 (Python Code)

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Data Index: 1649513 (Python Code)

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Text #8

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Data Index: 1364574 (Python Code)

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Data Index: 1597529 (Python Code)

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Data Index: 1550365 (Python Code)

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Data Index: 596517 (C4 (Web Text))

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Text #14

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Data Index: 1610113 (Python Code)

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Text #19

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Data Index: 393219 (C4 (Web Text))

Max Activating Token Index: 815

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