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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 3898 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 0.8373. Min Act: -0.0002

Data Index: 942484 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #1

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Max Act: 0.4622. Min Act: -0.0002

Data Index: 1405737 (Python Code)

Max Activating Token Index: 1023

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Text #2

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Max Act: 0.3629. Min Act: -0.0002

Data Index: 1004838 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #3

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Max Act: 0.3984. Min Act: -0.0002

Data Index: 148998 (C4 (Web Text))

Max Activating Token Index: 1023

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Truncated

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Text #4

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Data Index: 358068 (C4 (Web Text))

Max Activating Token Index: 1023

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Truncated

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Text #5

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Data Index: 134956 (C4 (Web Text))

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Text #6

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Data Index: 1540841 (Python Code)

Max Activating Token Index: 1023

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Text #7

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Data Index: 322522 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 59258 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #9

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Data Index: 30534 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #10

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Data Index: 1649072 (Python Code)

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Text #11

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Data Index: 588940 (C4 (Web Text))

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Text #12

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Data Index: 62404 (C4 (Web Text))

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Text #13

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Data Index: 1093572 (C4 (Web Text))

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Text #14

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Data Index: 294545 (C4 (Web Text))

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Text #15

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Data Index: 668586 (C4 (Web Text))

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Text #16

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Data Index: 1308 (C4 (Web Text))

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Text #17

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Data Index: 335531 (C4 (Web Text))

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Text #18

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Max Act: 0.1200. Min Act: -0.0002

Data Index: 747114 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #19

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Data Index: 349581 (C4 (Web Text))

Max Activating Token Index: 1023

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