Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 3345 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0638. Min Act: -0.0001

Data Index: 947432 (C4 (Web Text))

Max Activating Token Index: 101

Text #1

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Max Activating Token Index: 101

Text #2

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Max Act: 0.0597. Min Act: -0.0002

Data Index: 458635 (C4 (Web Text))

Max Activating Token Index: 207

Text #3

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Max Act: 0.0579. Min Act: -0.0002

Data Index: 1329422 (C4 (Web Text))

Max Activating Token Index: 237

Text #4

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Max Act: 0.0569. Min Act: -0.0002

Data Index: 478406 (C4 (Web Text))

Max Activating Token Index: 174

Text #5

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Max Act: 0.0565. Min Act: -0.0002

Data Index: 276162 (C4 (Web Text))

Max Activating Token Index: 348

Text #6

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Data Index: 807791 (C4 (Web Text))

Max Activating Token Index: 118

Text #7

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Max Activating Token Index: 991

Text #8

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Data Index: 821554 (C4 (Web Text))

Max Activating Token Index: 283

Text #9

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Max Activating Token Index: 959

Text #10

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Max Activating Token Index: 765

Text #11

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Data Index: 862091 (C4 (Web Text))

Max Activating Token Index: 297

Text #12

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Max Activating Token Index: 105

Text #13

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Data Index: 528520 (C4 (Web Text))

Max Activating Token Index: 494

Text #14

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Data Index: 223010 (C4 (Web Text))

Max Activating Token Index: 225

Text #15

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Max Activating Token Index: 117

Text #16

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Text #17

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Max Activating Token Index: 848

Text #18

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Data Index: 619398 (C4 (Web Text))

Max Activating Token Index: 906

Text #19

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Data Index: 1311292 (C4 (Web Text))

Max Activating Token Index: 339