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

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

Neuron 1098 in Layer 0

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

Text #0

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Max Act: 3.2492. Min Act: -0.1700

Data Index: 189691 (C4 (Web Text))

Max Activating Token Index: 780

Text #1

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Data Index: 1145670 (C4 (Web Text))

Max Activating Token Index: 316

Text #2

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Max Act: 3.2020. Min Act: -0.1700

Data Index: 157151 (C4 (Web Text))

Max Activating Token Index: 811

Text #3

Max Range: 3.2492. Min Range: -3.2492

Max Act: 3.2178. Min Act: -0.1700

Data Index: 530811 (C4 (Web Text))

Max Activating Token Index: 993

Text #4

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Max Act: 3.2178. Min Act: -0.1700

Data Index: 962548 (C4 (Web Text))

Max Activating Token Index: 146

Text #5

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Max Activating Token Index: 65

Text #6

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Data Index: 212732 (C4 (Web Text))

Max Activating Token Index: 699

Text #7

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Data Index: 253010 (C4 (Web Text))

Max Activating Token Index: 867

Text #8

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Max Activating Token Index: 5

Text #9

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Max Activating Token Index: 69

Text #10

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Data Index: 194119 (C4 (Web Text))

Max Activating Token Index: 859

Text #11

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Max Activating Token Index: 595

Text #12

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Data Index: 48421 (C4 (Web Text))

Max Activating Token Index: 838

Text #13

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Data Index: 727426 (C4 (Web Text))

Max Activating Token Index: 189

Text #14

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Data Index: 360035 (C4 (Web Text))

Max Activating Token Index: 22

Text #15

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Max Activating Token Index: 78

Text #16

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Max Activating Token Index: 93

Text #17

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Max Activating Token Index: 991

Text #18

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Max Activating Token Index: 945

Text #19

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Max Act: 3.1863. Min Act: -0.1700

Data Index: 103717 (C4 (Web Text))

Max Activating Token Index: 189