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

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

Neuron 292 in Layer 0

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



Text #0

Max Range: 2.7861. Min Range: -2.7861

Max Act: 2.7861. Min Act: -0.1700

Data Index: 1152826 (C4 (Web Text))

Max Activating Token Index: 752

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Text #1

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Max Act: 2.7701. Min Act: -0.1700

Data Index: 72352 (C4 (Web Text))

Max Activating Token Index: 204

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Text #2

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Max Act: 2.7222. Min Act: -0.1700

Data Index: 1353408 (C4 (Web Text))

Max Activating Token Index: 394

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Text #3

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Max Act: 2.7222. Min Act: -0.1700

Data Index: 751241 (C4 (Web Text))

Max Activating Token Index: 686

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Text #4

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Data Index: 1144935 (C4 (Web Text))

Max Activating Token Index: 189

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Text #5

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Max Act: 2.6902. Min Act: -0.1700

Data Index: 192141 (C4 (Web Text))

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Text #6

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Data Index: 439329 (C4 (Web Text))

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Text #7

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Data Index: 300448 (C4 (Web Text))

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Text #8

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Data Index: 417572 (C4 (Web Text))

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Text #9

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Data Index: 1212470 (C4 (Web Text))

Max Activating Token Index: 598

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Text #10

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Data Index: 705828 (C4 (Web Text))

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Text #11

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Data Index: 931497 (C4 (Web Text))

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Text #12

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Data Index: 1028487 (C4 (Web Text))

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Text #13

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Data Index: 261850 (C4 (Web Text))

Max Activating Token Index: 577

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Text #14

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Data Index: 131153 (C4 (Web Text))

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Text #15

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Data Index: 863539 (C4 (Web Text))

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Text #16

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Data Index: 878995 (C4 (Web Text))

Max Activating Token Index: 83

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Text #17

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Max Act: 2.6100. Min Act: -0.1700

Data Index: 964487 (C4 (Web Text))

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Text #18

Max Range: 2.7861. Min Range: -2.7861

Max Act: 2.5778. Min Act: -0.1700

Data Index: 1636418 (Python Code)

Max Activating Token Index: 18

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Text #19

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Max Act: 2.5939. Min Act: -0.1700

Data Index: 824293 (C4 (Web Text))

Max Activating Token Index: 666

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