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Model: GELU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 33 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')



Text #0

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Max Act: 5.1001. Min Act: -0.1700

Data Index: 726832 (C4 (Web Text))

Max Activating Token Index: 134

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Text #1

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Data Index: 831245 (C4 (Web Text))

Max Activating Token Index: 971

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Text #2

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Data Index: 364806 (C4 (Web Text))

Max Activating Token Index: 183

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Text #3

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Data Index: 747373 (C4 (Web Text))

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Text #4

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Data Index: 902462 (C4 (Web Text))

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Text #5

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Data Index: 477513 (C4 (Web Text))

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Text #6

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Data Index: 959734 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 50659 (C4 (Web Text))

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Text #9

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Data Index: 1265030 (C4 (Web Text))

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Text #10

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Data Index: 195039 (C4 (Web Text))

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Text #11

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Text #12

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Text #13

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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: 950396 (C4 (Web Text))

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Text #19

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