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

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

Neuron 1502 in Layer 1

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

Text #0

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Max Act: 0.0479. Min Act: -0.0006

Data Index: 52656 (C4 (Web Text))

Max Activating Token Index: 734

Text #1

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Max Act: 0.0502. Min Act: -0.0006

Data Index: 72617 (C4 (Web Text))

Max Activating Token Index: 409

Text #2

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Max Act: 0.0490. Min Act: -0.0006

Data Index: 822423 (C4 (Web Text))

Max Activating Token Index: 856

Text #3

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Max Act: 0.0459. Min Act: -0.0006

Data Index: 254091 (C4 (Web Text))

Max Activating Token Index: 197

Text #4

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Data Index: 33812 (C4 (Web Text))

Max Activating Token Index: 234

Text #5

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Max Act: 0.0460. Min Act: -0.0006

Data Index: 1207223 (C4 (Web Text))

Max Activating Token Index: 443

Text #6

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Data Index: 323311 (C4 (Web Text))

Max Activating Token Index: 460

Text #7

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Max Activating Token Index: 210

Text #8

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Max Activating Token Index: 464

Text #9

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Data Index: 114697 (C4 (Web Text))

Max Activating Token Index: 244

Text #10

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Max Activating Token Index: 90

Text #11

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Max Activating Token Index: 302

Text #12

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Max Activating Token Index: 716

Text #13

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Max Activating Token Index: 627

Text #14

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Max Activating Token Index: 56

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 601

Text #18

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Data Index: 526018 (C4 (Web Text))

Max Activating Token Index: 922

Text #19

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Data Index: 79195 (C4 (Web Text))

Max Activating Token Index: 782