Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1431 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0061. Min Act: -0.0004

Data Index: 38483 (C4 (Web Text))

Max Activating Token Index: 309

Text #1

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Max Act: 0.0060. Min Act: -0.0005

Data Index: 392235 (C4 (Web Text))

Max Activating Token Index: 162

Text #2

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Max Act: 0.0060. Min Act: -0.0004

Data Index: 613036 (C4 (Web Text))

Max Activating Token Index: 111

Text #3

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Max Act: 0.0059. Min Act: -0.0004

Data Index: 976774 (C4 (Web Text))

Max Activating Token Index: 635

Text #4

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Max Act: 0.0060. Min Act: -0.0005

Data Index: 314158 (C4 (Web Text))

Max Activating Token Index: 543

Text #5

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Data Index: 1107324 (C4 (Web Text))

Max Activating Token Index: 145

Text #6

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Max Activating Token Index: 662

Text #7

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Max Activating Token Index: 684

Text #8

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Max Activating Token Index: 686

Text #9

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Data Index: 1080843 (C4 (Web Text))

Max Activating Token Index: 948

Text #10

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Max Activating Token Index: 965

Text #11

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Max Activating Token Index: 844

Text #12

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Max Activating Token Index: 587

Text #13

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Data Index: 1140415 (C4 (Web Text))

Max Activating Token Index: 843

Text #14

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Max Activating Token Index: 543

Text #15

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Data Index: 1372044 (Python Code)

Max Activating Token Index: 315

Text #16

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Text #17

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Text #18

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Max Activating Token Index: 986

Text #19

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Data Index: 38262 (C4 (Web Text))

Max Activating Token Index: 370