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Model: GELU Model: 1 Layers, 2048 Neurons per Layer

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

Neuron 1833 in Layer 0

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Hooked Transformer Loading: HookedTransformer.from_pretrained('gelu-1l')

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Text #0

Max Range: 3.5684. Min Range: -3.5684

Max Act: 3.5684. Min Act: -0.1700

Data Index: 1317085 (C4 (Web Text))

Max Activating Token Index: 20

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Text #1

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Max Act: 3.4715. Min Act: -0.1217

Data Index: 1119879 (C4 (Web Text))

Max Activating Token Index: 90

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Text #2

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Max Act: 3.4725. Min Act: -0.1606

Data Index: 1532703 (Python Code)

Max Activating Token Index: 354

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Text #3

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Max Act: 3.4453. Min Act: -0.1660

Data Index: 1467224 (Python Code)

Max Activating Token Index: 184

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Text #4

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Data Index: 1498559 (Python Code)

Max Activating Token Index: 940

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Text #5

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Data Index: 1445376 (Python Code)

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Text #6

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Data Index: 1633037 (Python Code)

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Text #7

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Data Index: 383991 (C4 (Web Text))

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Text #8

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Data Index: 1655757 (Python Code)

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Text #9

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Data Index: 361165 (C4 (Web Text))

Max Activating Token Index: 551

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Text #10

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Data Index: 40927 (C4 (Web Text))

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Text #11

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Data Index: 1507030 (Python Code)

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Text #12

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Data Index: 1533605 (Python Code)

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Text #14

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Text #15

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Data Index: 1463286 (Python Code)

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Text #16

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Text #17

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Text #18

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Data Index: 1436506 (Python Code)

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Text #19

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Data Index: 1473676 (Python Code)

Max Activating Token Index: 513

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