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

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

Neuron 37 in Layer 2

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



Text #0

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Max Act: 4.2235. Min Act: -0.1700

Data Index: 420636 (C4 (Web Text))

Max Activating Token Index: 966

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Text #1

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Data Index: 1056591 (C4 (Web Text))

Max Activating Token Index: 95

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Text #2

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Data Index: 663821 (C4 (Web Text))

Max Activating Token Index: 312

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Text #3

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Data Index: 601359 (C4 (Web Text))

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Text #4

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Data Index: 415909 (C4 (Web Text))

Max Activating Token Index: 714

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Text #5

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Text #6

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Text #7

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Text #8

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Text #9

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Data Index: 806474 (C4 (Web Text))

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Text #10

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Text #11

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Text #12

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Data Index: 132469 (C4 (Web Text))

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Text #13

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Data Index: 459990 (C4 (Web Text))

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Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Data Index: 507317 (C4 (Web Text))

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Text #19

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Data Index: 1174748 (C4 (Web Text))

Max Activating Token Index: 936

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