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

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

Neuron 900 in Layer 9

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



Text #0

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Max Act: 0.6229. Min Act: -0.0000

Data Index: 1287246 (C4 (Web Text))

Max Activating Token Index: 914

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Text #1

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Max Act: 0.4621. Min Act: -0.0000

Data Index: 1452830 (Python Code)

Max Activating Token Index: 238

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Text #2

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Max Act: 0.4474. Min Act: -0.0000

Data Index: 184085 (C4 (Web Text))

Max Activating Token Index: 960

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Text #3

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Max Act: 0.4082. Min Act: -0.0000

Data Index: 1139365 (C4 (Web Text))

Max Activating Token Index: 848

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Text #4

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Data Index: 761748 (C4 (Web Text))

Max Activating Token Index: 911

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Text #5

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Data Index: 656509 (C4 (Web Text))

Max Activating Token Index: 135

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Text #6

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Data Index: 822811 (C4 (Web Text))

Max Activating Token Index: 113

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Text #7

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Max Activating Token Index: 282

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Text #8

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Data Index: 799926 (C4 (Web Text))

Max Activating Token Index: 905

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Text #9

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Data Index: 942888 (C4 (Web Text))

Max Activating Token Index: 541

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Text #10

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Data Index: 628654 (C4 (Web Text))

Max Activating Token Index: 869

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Text #11

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Text #12

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Data Index: 1556244 (Python Code)

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Text #13

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Text #14

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Data Index: 578321 (C4 (Web Text))

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 728

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Text #18

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Data Index: 1561276 (Python Code)

Max Activating Token Index: 266

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Text #19

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Data Index: 255927 (C4 (Web Text))

Max Activating Token Index: 37

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