Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 3506 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

Max Range: 0.0779. Min Range: -0.0779

Max Act: 0.0753. Min Act: -0.0002

Data Index: 1445674 (Python Code)

Max Activating Token Index: 662

Text #1

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Max Act: 0.0745. Min Act: -0.0002

Data Index: 1486567 (Python Code)

Max Activating Token Index: 605

Text #2

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Max Act: 0.0773. Min Act: -0.0003

Data Index: 1505480 (Python Code)

Max Activating Token Index: 326

Text #3

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Max Act: 0.0779. Min Act: -0.0003

Data Index: 1532042 (Python Code)

Max Activating Token Index: 160

Text #4

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Max Act: 0.0744. Min Act: -0.0003

Data Index: 1496690 (Python Code)

Max Activating Token Index: 680

Text #5

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Max Act: 0.0726. Min Act: -0.0002

Data Index: 1634303 (Python Code)

Max Activating Token Index: 575

Text #6

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Data Index: 1137095 (C4 (Web Text))

Max Activating Token Index: 27

Text #7

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Data Index: 1541139 (Python Code)

Max Activating Token Index: 454

Text #8

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Data Index: 1388871 (Python Code)

Max Activating Token Index: 226

Text #9

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Data Index: 1204156 (C4 (Web Text))

Max Activating Token Index: 16

Text #10

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Data Index: 1595521 (Python Code)

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Text #11

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Data Index: 1361152 (Python Code)

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Text #12

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Data Index: 1488905 (Python Code)

Max Activating Token Index: 950

Text #13

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Data Index: 1454050 (Python Code)

Max Activating Token Index: 388

Text #14

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Data Index: 1619593 (Python Code)

Max Activating Token Index: 479

Text #15

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Data Index: 1414630 (Python Code)

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Text #16

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Data Index: 1586155 (Python Code)

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Text #17

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Data Index: 1063947 (C4 (Web Text))

Max Activating Token Index: 39

Text #18

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Data Index: 1554497 (Python Code)

Max Activating Token Index: 760

Text #19

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Max Act: 0.0670. Min Act: -0.0002

Data Index: 1653299 (Python Code)

Max Activating Token Index: 288