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

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

Neuron 4417 in Layer 0

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

Text #0

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Max Act: 0.0401. Min Act: -0.0002

Data Index: 9271 (C4 (Web Text))

Max Activating Token Index: 300

Text #1

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Max Act: 0.0377. Min Act: -0.0002

Data Index: 982268 (C4 (Web Text))

Max Activating Token Index: 377

Text #2

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Max Act: 0.0359. Min Act: -0.0002

Data Index: 465517 (C4 (Web Text))

Max Activating Token Index: 35

Text #3

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Max Act: 0.0369. Min Act: -0.0002

Data Index: 1315026 (C4 (Web Text))

Max Activating Token Index: 12

Text #4

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Data Index: 1080045 (C4 (Web Text))

Max Activating Token Index: 744

Text #5

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Max Act: 0.0363. Min Act: -0.0002

Data Index: 277013 (C4 (Web Text))

Max Activating Token Index: 292

Text #6

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Max Activating Token Index: 503

Text #7

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Max Activating Token Index: 10

Text #8

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Max Activating Token Index: 99

Text #9

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Max Activating Token Index: 329

Text #10

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Data Index: 468762 (C4 (Web Text))

Max Activating Token Index: 611

Text #11

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Max Activating Token Index: 251

Text #12

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Max Activating Token Index: 1021

Text #13

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Data Index: 314587 (C4 (Web Text))

Max Activating Token Index: 10

Text #14

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Data Index: 641434 (C4 (Web Text))

Max Activating Token Index: 303

Text #15

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Max Activating Token Index: 318

Text #16

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Text #17

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Max Activating Token Index: 110

Text #18

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Max Activating Token Index: 30

Text #19

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Data Index: 646448 (C4 (Web Text))

Max Activating Token Index: 375