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

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

Neuron 1730 in Layer 5

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



Text #0

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Max Act: 0.0847. Min Act: -0.0000

Data Index: 1382236 (Python Code)

Max Activating Token Index: 202

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Text #1

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Data Index: 1354742 (C4 (Web Text))

Max Activating Token Index: 500

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Truncated

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Text #2

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Max Act: 0.1031. Min Act: -0.0000

Data Index: 537170 (C4 (Web Text))

Max Activating Token Index: 427

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Text #3

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Max Act: 0.0878. Min Act: -0.0000

Data Index: 415246 (C4 (Web Text))

Max Activating Token Index: 365

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Truncated

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Text #4

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Max Act: 0.0682. Min Act: -0.0000

Data Index: 118812 (C4 (Web Text))

Max Activating Token Index: 708

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Truncated

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Text #5

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Max Act: 0.1035. Min Act: -0.0000

Data Index: 1374956 (Python Code)

Max Activating Token Index: 459

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Text #6

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Data Index: 953956 (C4 (Web Text))

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Text #7

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Data Index: 906162 (C4 (Web Text))

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Text #8

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Data Index: 1019704 (C4 (Web Text))

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Text #9

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Data Index: 472988 (C4 (Web Text))

Max Activating Token Index: 28

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Text #10

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Data Index: 135297 (C4 (Web Text))

Max Activating Token Index: 1005

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Text #11

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Data Index: 244396 (C4 (Web Text))

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Text #12

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Data Index: 859068 (C4 (Web Text))

Max Activating Token Index: 926

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Text #13

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Data Index: 652240 (C4 (Web Text))

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Text #14

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Data Index: 1219648 (C4 (Web Text))

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Text #15

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Data Index: 429497 (C4 (Web Text))

Max Activating Token Index: 583

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Text #16

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Data Index: 124403 (C4 (Web Text))

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Text #17

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Max Act: 0.0543. Min Act: -0.0000

Data Index: 1550849 (Python Code)

Max Activating Token Index: 845

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Text #18

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Max Act: 0.0589. Min Act: -0.0000

Data Index: 260166 (C4 (Web Text))

Max Activating Token Index: 969

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Text #19

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Max Act: 0.0627. Min Act: -0.0000

Data Index: 977134 (C4 (Web Text))

Max Activating Token Index: 249

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