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

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

Neuron 2043 in Layer 0

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

Text #0

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Max Act: 0.0083. Min Act: -0.0005

Data Index: 519846 (C4 (Web Text))

Max Activating Token Index: 82

Text #1

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Max Act: 0.0083. Min Act: -0.0004

Data Index: 964193 (C4 (Web Text))

Max Activating Token Index: 88

Text #2

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Max Act: 0.0082. Min Act: -0.0005

Data Index: 165117 (C4 (Web Text))

Max Activating Token Index: 867

Text #3

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Max Act: 0.0082. Min Act: -0.0005

Data Index: 263646 (C4 (Web Text))

Max Activating Token Index: 868

Text #4

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Max Act: 0.0080. Min Act: -0.0005

Data Index: 199169 (C4 (Web Text))

Max Activating Token Index: 649

Text #5

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Max Act: 0.0080. Min Act: -0.0004

Data Index: 421819 (C4 (Web Text))

Max Activating Token Index: 802

Text #6

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Max Act: 0.0080. Min Act: -0.0004

Data Index: 275533 (C4 (Web Text))

Max Activating Token Index: 79

Text #7

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Max Activating Token Index: 965

Text #8

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Max Activating Token Index: 897

Text #9

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Max Activating Token Index: 976

Text #10

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Max Activating Token Index: 257

Text #11

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Max Activating Token Index: 571

Text #12

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Max Activating Token Index: 84

Text #13

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Max Activating Token Index: 921

Text #14

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Max Activating Token Index: 149

Text #15

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Max Activating Token Index: 108

Text #16

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Text #17

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Max Activating Token Index: 302

Text #18

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Max Activating Token Index: 27

Text #19

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Data Index: 385287 (C4 (Web Text))

Max Activating Token Index: 170