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Model: GELU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1992 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')



Text #0

Max Range: 2.8829. Min Range: -2.8829

Max Act: 2.8829. Min Act: -0.1700

Data Index: 1504933 (Python Code)

Max Activating Token Index: 887

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Text #1

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Max Act: 2.8511. Min Act: -0.1700

Data Index: 1411548 (Python Code)

Max Activating Token Index: 219

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Text #2

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Max Act: 2.7875. Min Act: -0.1700

Data Index: 1428426 (Python Code)

Max Activating Token Index: 188

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Text #3

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Max Act: 2.4823. Min Act: -0.1700

Data Index: 1569640 (Python Code)

Max Activating Token Index: 200

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Text #4

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Max Act: 2.4172. Min Act: -0.1700

Data Index: 1055978 (C4 (Web Text))

Max Activating Token Index: 987

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Text #5

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Data Index: 1544717 (Python Code)

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Text #6

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Data Index: 1590094 (Python Code)

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Text #7

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Data Index: 710987 (C4 (Web Text))

Max Activating Token Index: 837

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Text #8

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Data Index: 1570600 (Python Code)

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Text #9

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Data Index: 1450124 (Python Code)

Max Activating Token Index: 32

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Text #10

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Data Index: 1538529 (Python Code)

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Text #11

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Data Index: 1583966 (Python Code)

Max Activating Token Index: 27

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Text #12

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Data Index: 1498838 (Python Code)

Max Activating Token Index: 886

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Text #13

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Data Index: 1447038 (Python Code)

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Text #14

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Data Index: 13859 (C4 (Web Text))

Max Activating Token Index: 87

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Text #15

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Data Index: 1472876 (Python Code)

Max Activating Token Index: 468

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Text #16

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Data Index: 1519791 (Python Code)

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Text #17

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Data Index: 1403734 (Python Code)

Max Activating Token Index: 513

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Text #18

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Data Index: 1622932 (Python Code)

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Text #19

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Max Act: 2.3355. Min Act: -0.1700

Data Index: 759728 (C4 (Web Text))

Max Activating Token Index: 14

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