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

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

Neuron 2013 in Layer 0

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

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Text #0

Max Range: 3.8701. Min Range: -3.8701

Max Act: 3.8701. Min Act: -0.1699

Data Index: 1621834 (Python Code)

Max Activating Token Index: 44

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Text #1

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Max Act: 3.8701. Min Act: -0.1699

Data Index: 1649826 (Python Code)

Max Activating Token Index: 44

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Text #2

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Max Act: 3.8168. Min Act: -0.1700

Data Index: 1522650 (Python Code)

Max Activating Token Index: 102

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Text #3

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Max Act: 3.8088. Min Act: -0.1700

Data Index: 1471489 (Python Code)

Max Activating Token Index: 30

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Text #4

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Data Index: 1440319 (Python Code)

Max Activating Token Index: 245

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Text #5

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Data Index: 1536382 (Python Code)

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Data Index: 1418200 (Python Code)

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Text #7

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Data Index: 1468527 (Python Code)

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Text #8

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Data Index: 1367405 (Python Code)

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Text #9

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Data Index: 1608724 (Python Code)

Max Activating Token Index: 641

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Text #10

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Data Index: 1580601 (Python Code)

Max Activating Token Index: 493

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Text #11

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Data Index: 731895 (C4 (Web Text))

Max Activating Token Index: 18

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Text #12

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Data Index: 1360378 (Python Code)

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Text #13

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Data Index: 1547311 (Python Code)

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Text #14

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Data Index: 1443221 (Python Code)

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Data Index: 1503538 (Python Code)

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Text #16

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Text #17

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Data Index: 870778 (C4 (Web Text))

Max Activating Token Index: 397

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Text #18

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Data Index: 1410760 (Python Code)

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Data Index: 1497456 (Python Code)

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