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

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

Neuron 1436 in Layer 0

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

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Text #0

Max Range: 3.4124. Min Range: -3.4124

Max Act: 3.4124. Min Act: -0.1700

Data Index: 1542416 (Python Code)

Max Activating Token Index: 531

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Text #1

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Max Act: 3.3733. Min Act: -0.1700

Data Index: 790082 (C4 (Web Text))

Max Activating Token Index: 279

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Text #2

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Max Act: 3.3782. Min Act: -0.1700

Data Index: 1401627 (Python Code)

Max Activating Token Index: 494

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Text #3

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Max Act: 3.3816. Min Act: -0.1700

Data Index: 1593897 (Python Code)

Max Activating Token Index: 843

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Text #4

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Max Act: 3.3601. Min Act: -0.1700

Data Index: 1585032 (Python Code)

Max Activating Token Index: 603

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Text #5

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Max Act: 3.3638. Min Act: -0.1700

Data Index: 1480936 (Python Code)

Max Activating Token Index: 376

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Text #6

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Data Index: 1556713 (Python Code)

Max Activating Token Index: 600

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Text #7

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Data Index: 1030490 (C4 (Web Text))

Max Activating Token Index: 459

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Text #8

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Max Act: 3.2786. Min Act: -0.1700

Data Index: 1437901 (Python Code)

Max Activating Token Index: 210

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Text #9

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Data Index: 1537734 (Python Code)

Max Activating Token Index: 86

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Text #10

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Data Index: 1447927 (Python Code)

Max Activating Token Index: 518

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Text #11

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Data Index: 1518472 (Python Code)

Max Activating Token Index: 878

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Text #12

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Data Index: 1433603 (Python Code)

Max Activating Token Index: 457

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Text #13

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Data Index: 1467705 (Python Code)

Max Activating Token Index: 1021

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Text #14

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Data Index: 1629377 (Python Code)

Max Activating Token Index: 8

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Text #15

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Data Index: 1376297 (Python Code)

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Text #16

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Data Index: 1240867 (C4 (Web Text))

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Text #17

Max Range: 3.4124. Min Range: -3.4124

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Data Index: 989471 (C4 (Web Text))

Max Activating Token Index: 526

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Text #18

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Data Index: 1095306 (C4 (Web Text))

Max Activating Token Index: 408

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Text #19

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Max Act: 3.2094. Min Act: -0.1700

Data Index: 1171504 (C4 (Web Text))

Max Activating Token Index: 569

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