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

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

Neuron 214 in Layer 1

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

Text #0

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Max Act: 0.0557. Min Act: -0.0003

Data Index: 22177 (C4 (Web Text))

Max Activating Token Index: 711

Text #1

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Max Act: 0.0592. Min Act: -0.0003

Data Index: 478438 (C4 (Web Text))

Max Activating Token Index: 104

Text #2

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Max Act: 0.0510. Min Act: -0.0003

Data Index: 81088 (C4 (Web Text))

Max Activating Token Index: 732

Text #3

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Max Act: 0.0495. Min Act: -0.0003

Data Index: 1273699 (C4 (Web Text))

Max Activating Token Index: 935

Text #4

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Data Index: 977351 (C4 (Web Text))

Max Activating Token Index: 105

Text #5

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Max Activating Token Index: 852

Text #6

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Max Activating Token Index: 601

Text #7

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Max Activating Token Index: 671

Text #8

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Max Activating Token Index: 903

Text #9

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Max Activating Token Index: 825

Text #10

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Max Activating Token Index: 809

Text #11

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Max Activating Token Index: 814

Text #12

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Data Index: 384157 (C4 (Web Text))

Max Activating Token Index: 946

Text #13

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Data Index: 518608 (C4 (Web Text))

Max Activating Token Index: 939

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 944

Text #18

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Max Activating Token Index: 714

Text #19

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Max Act: 0.0474. Min Act: -0.0003

Data Index: 206185 (C4 (Web Text))

Max Activating Token Index: 48