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Model: GELU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1966 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-3l')



Text #0

Max Range: 2.8704. Min Range: -2.8704

Max Act: 2.8704. Min Act: -0.1700

Data Index: 1507356 (Python Code)

Max Activating Token Index: 804

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Text #1

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Max Act: 2.8545. Min Act: -0.1700

Data Index: 991545 (C4 (Web Text))

Max Activating Token Index: 607

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Text #2

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Max Act: 2.8227. Min Act: -0.1700

Data Index: 1529781 (Python Code)

Max Activating Token Index: 590

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Text #3

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Data Index: 1480801 (Python Code)

Max Activating Token Index: 1000

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Text #4

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Data Index: 1510262 (Python Code)

Max Activating Token Index: 903

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Text #5

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Data Index: 1593787 (Python Code)

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Text #6

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Data Index: 1588150 (Python Code)

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Text #7

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Data Index: 1624987 (Python Code)

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Text #8

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Data Index: 1300915 (C4 (Web Text))

Max Activating Token Index: 2

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Text #9

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Data Index: 1361907 (Python Code)

Max Activating Token Index: 774

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Text #10

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Data Index: 1508449 (Python Code)

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Text #11

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Data Index: 1520097 (Python Code)

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Text #12

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Data Index: 1596432 (Python Code)

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Text #13

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Data Index: 1558224 (Python Code)

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Text #14

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Data Index: 1544058 (Python Code)

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Text #15

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Data Index: 1497998 (Python Code)

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Text #16

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Text #17

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Data Index: 1412705 (Python Code)

Max Activating Token Index: 541

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Text #18

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Data Index: 1482458 (Python Code)

Max Activating Token Index: 323

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Text #19

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Data Index: 1447748 (Python Code)

Max Activating Token Index: 891

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