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

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

Neuron 70 in Layer 3

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



Text #0

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Max Act: 5.2461. Min Act: -0.1700

Data Index: 1200538 (C4 (Web Text))

Max Activating Token Index: 75

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Text #1

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Data Index: 1368746 (Python Code)

Max Activating Token Index: 807

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Text #2

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Max Act: 5.0430. Min Act: -0.1700

Data Index: 1168463 (C4 (Web Text))

Max Activating Token Index: 183

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Text #3

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Data Index: 1059931 (C4 (Web Text))

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Text #4

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Data Index: 1187033 (C4 (Web Text))

Max Activating Token Index: 223

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Text #5

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Data Index: 82355 (C4 (Web Text))

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Text #6

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Data Index: 494816 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 35449 (C4 (Web Text))

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Text #9

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Data Index: 1129920 (C4 (Web Text))

Max Activating Token Index: 852

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Text #10

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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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Data Index: 348368 (C4 (Web Text))

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Text #18

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Data Index: 1034562 (C4 (Web Text))

Max Activating Token Index: 908

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Text #19

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Data Index: 790983 (C4 (Web Text))

Max Activating Token Index: 290

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