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

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

Neuron 1030 in Layer 0

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

Text #0

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Max Act: 0.0135. Min Act: -0.0006

Data Index: 184977 (C4 (Web Text))

Max Activating Token Index: 107

Text #1

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Max Act: 0.0131. Min Act: -0.0006

Data Index: 1314751 (C4 (Web Text))

Max Activating Token Index: 906

Text #2

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Max Act: 0.0125. Min Act: -0.0006

Data Index: 918798 (C4 (Web Text))

Max Activating Token Index: 134

Text #3

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Max Act: 0.0121. Min Act: -0.0006

Data Index: 187362 (C4 (Web Text))

Max Activating Token Index: 871

Text #4

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Max Act: 0.0121. Min Act: -0.0006

Data Index: 137422 (C4 (Web Text))

Max Activating Token Index: 39

Text #5

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Max Act: 0.0123. Min Act: -0.0006

Data Index: 1258540 (C4 (Web Text))

Max Activating Token Index: 97

Text #6

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Max Activating Token Index: 455

Text #7

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Max Activating Token Index: 23

Text #8

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Max Activating Token Index: 321

Text #9

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Max Act: 0.0115. Min Act: -0.0006

Data Index: 791489 (C4 (Web Text))

Max Activating Token Index: 657

Text #10

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Max Activating Token Index: 726

Text #11

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Max Activating Token Index: 277

Text #12

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Max Activating Token Index: 119

Text #13

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Data Index: 256575 (C4 (Web Text))

Max Activating Token Index: 346

Text #14

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Max Activating Token Index: 934

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 293

Text #18

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Max Activating Token Index: 410

Text #19

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Max Act: 0.0111. Min Act: -0.0006

Data Index: 1356601 (C4 (Web Text))

Max Activating Token Index: 750