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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 62 in Layer 5

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 0.4831. Min Act: -0.0001

Data Index: 1490985 (Python Code)

Max Activating Token Index: 695

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Text #1

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Max Act: 0.4223. Min Act: -0.0001

Data Index: 1529801 (Python Code)

Max Activating Token Index: 773

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Text #2

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Max Act: 0.4368. Min Act: -0.0001

Data Index: 432796 (C4 (Web Text))

Max Activating Token Index: 896

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Text #3

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Max Act: 0.4353. Min Act: -0.0001

Data Index: 859483 (C4 (Web Text))

Max Activating Token Index: 914

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Text #4

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Data Index: 1372165 (Python Code)

Max Activating Token Index: 543

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Text #5

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Data Index: 1552781 (Python Code)

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Text #6

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Data Index: 1624568 (Python Code)

Max Activating Token Index: 549

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Text #7

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Data Index: 1498325 (Python Code)

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Text #8

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Data Index: 1321446 (C4 (Web Text))

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Text #9

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Data Index: 1063934 (C4 (Web Text))

Max Activating Token Index: 944

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Text #10

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Data Index: 1529736 (Python Code)

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Text #11

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Text #12

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Data Index: 148059 (C4 (Web Text))

Max Activating Token Index: 733

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Text #13

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Text #14

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Data Index: 280038 (C4 (Web Text))

Max Activating Token Index: 730

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Text #15

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Data Index: 1496891 (Python Code)

Max Activating Token Index: 851

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Text #16

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Data Index: 1634595 (Python Code)

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Text #17

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Data Index: 1332453 (C4 (Web Text))

Max Activating Token Index: 506

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Text #18

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Data Index: 1583800 (Python Code)

Max Activating Token Index: 840

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Text #19

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Data Index: 1065256 (C4 (Web Text))

Max Activating Token Index: 710

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