Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1114 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0154. Min Act: -0.0006

Data Index: 1219239 (C4 (Web Text))

Max Activating Token Index: 400

Text #1

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Max Act: 0.0140. Min Act: -0.0006

Data Index: 807177 (C4 (Web Text))

Max Activating Token Index: 520

Text #2

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Max Act: 0.0137. Min Act: -0.0006

Data Index: 1140128 (C4 (Web Text))

Max Activating Token Index: 792

Text #3

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Max Act: 0.0129. Min Act: -0.0006

Data Index: 1065274 (C4 (Web Text))

Max Activating Token Index: 835

Text #4

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Max Act: 0.0124. Min Act: -0.0006

Data Index: 474522 (C4 (Web Text))

Max Activating Token Index: 600

Text #5

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Max Act: 0.0119. Min Act: -0.0006

Data Index: 50206 (C4 (Web Text))

Max Activating Token Index: 878

Text #6

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Data Index: 1037577 (C4 (Web Text))

Max Activating Token Index: 1011

Text #7

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Data Index: 177942 (C4 (Web Text))

Max Activating Token Index: 514

Text #8

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Data Index: 11938 (C4 (Web Text))

Max Activating Token Index: 90

Text #9

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Data Index: 920096 (C4 (Web Text))

Max Activating Token Index: 109

Text #10

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Data Index: 1093184 (C4 (Web Text))

Max Activating Token Index: 916

Text #11

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Data Index: 783782 (C4 (Web Text))

Max Activating Token Index: 26

Text #12

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Data Index: 339674 (C4 (Web Text))

Max Activating Token Index: 283

Text #13

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Max Act: 0.0109. Min Act: -0.0006

Data Index: 633199 (C4 (Web Text))

Max Activating Token Index: 406

Text #14

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Data Index: 7922 (C4 (Web Text))

Max Activating Token Index: 465

Text #15

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Max Activating Token Index: 371

Text #16

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Max Activating Token Index: 917

Text #17

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Max Activating Token Index: 499

Text #18

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Data Index: 64971 (C4 (Web Text))

Max Activating Token Index: 266

Text #19

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Max Act: 0.0106. Min Act: -0.0006

Data Index: 167874 (C4 (Web Text))

Max Activating Token Index: 337