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

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

Neuron 144 in Layer 0

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



Text #0

Max Range: 2.5789. Min Range: -2.5789

Max Act: 2.5789. Min Act: -0.1700

Data Index: 1473274 (Python Code)

Max Activating Token Index: 817

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Text #1

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Max Act: 2.5628. Min Act: -0.1700

Data Index: 1235199 (C4 (Web Text))

Max Activating Token Index: 746

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Text #2

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Max Act: 2.5305. Min Act: -0.1700

Data Index: 1523581 (Python Code)

Max Activating Token Index: 591

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Text #3

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Max Act: 2.5143. Min Act: -0.1700

Data Index: 1513106 (Python Code)

Max Activating Token Index: 876

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Text #4

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Max Act: 2.4982. Min Act: -0.1700

Data Index: 1374980 (Python Code)

Max Activating Token Index: 992

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Text #5

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Data Index: 1618502 (Python Code)

Max Activating Token Index: 846

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Text #6

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Data Index: 1427263 (Python Code)

Max Activating Token Index: 163

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Text #7

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Data Index: 1568148 (Python Code)

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Text #8

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Data Index: 1484876 (Python Code)

Max Activating Token Index: 229

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Text #9

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Data Index: 1422026 (Python Code)

Max Activating Token Index: 23

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Text #10

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Data Index: 1652999 (Python Code)

Max Activating Token Index: 106

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Text #11

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Max Act: 2.4495. Min Act: -0.1700

Data Index: 285363 (C4 (Web Text))

Max Activating Token Index: 618

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Text #12

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Data Index: 1635044 (Python Code)

Max Activating Token Index: 213

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Text #13

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Data Index: 1421337 (Python Code)

Max Activating Token Index: 839

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Text #14

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Data Index: 1425925 (Python Code)

Max Activating Token Index: 163

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Text #15

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Data Index: 1611899 (Python Code)

Max Activating Token Index: 900

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Text #16

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Data Index: 1404389 (Python Code)

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Text #17

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Data Index: 1571509 (Python Code)

Max Activating Token Index: 230

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Text #18

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Data Index: 1394294 (Python Code)

Max Activating Token Index: 58

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Text #19

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Max Act: 2.4169. Min Act: -0.1700

Data Index: 1647614 (Python Code)

Max Activating Token Index: 951

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