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

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

Neuron 5093 in Layer 5

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



Text #0

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Max Act: 0.6101. Min Act: -0.0000

Data Index: 1140711 (C4 (Web Text))

Max Activating Token Index: 352

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Text #1

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Max Act: 0.8669. Min Act: -0.0000

Data Index: 621395 (C4 (Web Text))

Max Activating Token Index: 659

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Text #2

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Max Act: 0.3801. Min Act: -0.0000

Data Index: 687781 (C4 (Web Text))

Max Activating Token Index: 120

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Text #3

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Max Act: 0.0453. Min Act: -0.0000

Data Index: 1257541 (C4 (Web Text))

Max Activating Token Index: 784

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Text #4

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Max Act: 0.0626. Min Act: -0.0000

Data Index: 1075823 (C4 (Web Text))

Max Activating Token Index: 978

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Text #5

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Max Act: 0.0481. Min Act: -0.0000

Data Index: 1143899 (C4 (Web Text))

Max Activating Token Index: 30

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Text #6

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Data Index: 767408 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #7

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Data Index: 306641 (C4 (Web Text))

Max Activating Token Index: 821

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Text #8

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Data Index: 1440608 (Python Code)

Max Activating Token Index: 337

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Text #9

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Data Index: 920900 (C4 (Web Text))

Max Activating Token Index: 991

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Text #10

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Data Index: 788901 (C4 (Web Text))

Max Activating Token Index: 951

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Text #11

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Data Index: 1403598 (Python Code)

Max Activating Token Index: 797

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Text #12

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Data Index: 1622870 (Python Code)

Max Activating Token Index: 9

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Text #13

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Data Index: 1615490 (Python Code)

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Text #14

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Data Index: 1581537 (Python Code)

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Text #15

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Data Index: 1583550 (Python Code)

Max Activating Token Index: 856

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Text #16

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Data Index: 1366451 (Python Code)

Max Activating Token Index: 138

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Text #17

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Data Index: 1364644 (Python Code)

Max Activating Token Index: 52

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Text #18

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Data Index: 1448729 (Python Code)

Max Activating Token Index: 621

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Text #19

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Max Act: 0.0309. Min Act: -0.0000

Data Index: 345274 (C4 (Web Text))

Max Activating Token Index: 136

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