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Model: GELU Model: 1 Layers, 2048 Neurons per Layer

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

Neuron 560 in Layer 0

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Hooked Transformer Loading: HookedTransformer.from_pretrained('gelu-1l')

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Text #0

Max Range: 3.7752. Min Range: -3.7752

Max Act: 3.7752. Min Act: -0.1700

Data Index: 1594135 (Python Code)

Max Activating Token Index: 450

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Text #1

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Max Act: 3.3456. Min Act: -0.1700

Data Index: 848597 (C4 (Web Text))

Max Activating Token Index: 169

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Text #2

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Max Act: 3.3134. Min Act: -0.1700

Data Index: 518629 (C4 (Web Text))

Max Activating Token Index: 78

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Text #3

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Max Act: 3.2638. Min Act: -0.1700

Data Index: 875497 (C4 (Web Text))

Max Activating Token Index: 770

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Text #4

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Max Act: 3.2590. Min Act: -0.1700

Data Index: 175513 (C4 (Web Text))

Max Activating Token Index: 261

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Text #5

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Max Act: 3.2610. Min Act: -0.1700

Data Index: 101583 (C4 (Web Text))

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Text #6

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Data Index: 1551294 (Python Code)

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Text #7

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Data Index: 15819 (C4 (Web Text))

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Text #8

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Data Index: 986466 (C4 (Web Text))

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Text #9

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Data Index: 607922 (C4 (Web Text))

Max Activating Token Index: 173

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Text #10

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Data Index: 113880 (C4 (Web Text))

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Text #11

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Data Index: 528551 (C4 (Web Text))

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Text #12

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Data Index: 640639 (C4 (Web Text))

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Text #13

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Data Index: 1185777 (C4 (Web Text))

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Text #14

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Data Index: 41470 (C4 (Web Text))

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Text #15

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Data Index: 802112 (C4 (Web Text))

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Text #16

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Data Index: 599290 (C4 (Web Text))

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Text #17

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Data Index: 786105 (C4 (Web Text))

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Text #18

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Data Index: 1342328 (C4 (Web Text))

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Text #19

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Data Index: 731744 (C4 (Web Text))

Max Activating Token Index: 577

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