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

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

Neuron 43 in Layer 2

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



Text #0

Max Range: 4.2036. Min Range: -4.2036

Max Act: 4.2036. Min Act: -0.1700

Data Index: 1126696 (C4 (Web Text))

Max Activating Token Index: 577

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Text #1

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Max Act: 4.1411. Min Act: -0.1700

Data Index: 995610 (C4 (Web Text))

Max Activating Token Index: 913

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Text #2

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Max Act: 4.1411. Min Act: -0.1700

Data Index: 1102392 (C4 (Web Text))

Max Activating Token Index: 135

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Text #3

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Max Act: 4.1098. Min Act: -0.1700

Data Index: 371207 (C4 (Web Text))

Max Activating Token Index: 201

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Text #4

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Max Act: 4.1098. Min Act: -0.1700

Data Index: 1199684 (C4 (Web Text))

Max Activating Token Index: 162

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Text #5

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Max Act: 4.0786. Min Act: -0.1700

Data Index: 306705 (C4 (Web Text))

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Text #6

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Data Index: 981372 (C4 (Web Text))

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Text #7

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Data Index: 87092 (C4 (Web Text))

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Text #8

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Max Act: 4.1098. Min Act: -0.1700

Data Index: 842374 (C4 (Web Text))

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Text #9

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Data Index: 1468455 (Python Code)

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Text #10

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Data Index: 315226 (C4 (Web Text))

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Text #11

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Data Index: 572498 (C4 (Web Text))

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Text #12

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Data Index: 1042924 (C4 (Web Text))

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Text #13

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Data Index: 1206536 (C4 (Web Text))

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Text #14

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Text #15

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Data Index: 889373 (C4 (Web Text))

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Text #16

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Data Index: 909988 (C4 (Web Text))

Max Activating Token Index: 869

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Text #17

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Data Index: 25240 (C4 (Web Text))

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Text #18

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Max Act: 4.0473. Min Act: -0.1700

Data Index: 901601 (C4 (Web Text))

Max Activating Token Index: 841

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Text #19

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Data Index: 971863 (C4 (Web Text))

Max Activating Token Index: 89

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