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

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

Neuron 5035 in Layer 1

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

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Text #0

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Max Act: 0.0868. Min Act: -0.0002

Data Index: 1293738 (C4 (Web Text))

Max Activating Token Index: 281

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Text #1

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Max Act: 0.0844. Min Act: -0.0002

Data Index: 876781 (C4 (Web Text))

Max Activating Token Index: 154

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Truncated

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Text #2

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Max Act: 0.0832. Min Act: -0.0002

Data Index: 71043 (C4 (Web Text))

Max Activating Token Index: 702

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Text #3

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Max Act: 0.0853. Min Act: -0.0002

Data Index: 906332 (C4 (Web Text))

Max Activating Token Index: 900

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Truncated

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Text #4

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Data Index: 1087664 (C4 (Web Text))

Max Activating Token Index: 718

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Text #5

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Data Index: 1324427 (C4 (Web Text))

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Text #6

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Data Index: 800673 (C4 (Web Text))

Max Activating Token Index: 355

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Truncated

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Text #7

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Data Index: 659788 (C4 (Web Text))

Max Activating Token Index: 486

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Truncated

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Text #8

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Max Act: 0.0796. Min Act: -0.0002

Data Index: 102566 (C4 (Web Text))

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Text #9

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Data Index: 845276 (C4 (Web Text))

Max Activating Token Index: 29

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Text #10

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Data Index: 1209729 (C4 (Web Text))

Max Activating Token Index: 824

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Truncated

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Text #11

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Data Index: 592988 (C4 (Web Text))

Max Activating Token Index: 683

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Text #12

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Data Index: 615039 (C4 (Web Text))

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Text #13

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Data Index: 783262 (C4 (Web Text))

Max Activating Token Index: 835

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Truncated

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Text #14

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Data Index: 961136 (C4 (Web Text))

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Text #15

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Data Index: 30127 (C4 (Web Text))

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Text #16

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Data Index: 1276084 (C4 (Web Text))

Max Activating Token Index: 659

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Text #17

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Data Index: 1567048 (Python Code)

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Text #18

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Data Index: 194897 (C4 (Web Text))

Max Activating Token Index: 2

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Text #19

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Data Index: 1332381 (C4 (Web Text))

Max Activating Token Index: 644

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