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

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

Neuron 3974 in Layer 1

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

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Text #0

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Max Act: 0.9286. Min Act: -0.0002

Data Index: 1298248 (C4 (Web Text))

Max Activating Token Index: 335

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Text #1

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Data Index: 72586 (C4 (Web Text))

Max Activating Token Index: 85

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Text #2

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Max Act: 0.9100. Min Act: -0.0002

Data Index: 6425 (C4 (Web Text))

Max Activating Token Index: 273

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Text #3

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Max Act: 0.8591. Min Act: -0.0002

Data Index: 140456 (C4 (Web Text))

Max Activating Token Index: 852

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Text #4

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Max Act: 0.8433. Min Act: -0.0002

Data Index: 1341805 (C4 (Web Text))

Max Activating Token Index: 870

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Text #5

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Max Act: 0.8428. Min Act: -0.0002

Data Index: 373708 (C4 (Web Text))

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Text #6

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Data Index: 27689 (C4 (Web Text))

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Truncated

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Text #7

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Data Index: 1229022 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 1086351 (C4 (Web Text))

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Text #9

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Data Index: 415219 (C4 (Web Text))

Max Activating Token Index: 172

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Text #10

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Data Index: 872154 (C4 (Web Text))

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Text #11

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Data Index: 1161411 (C4 (Web Text))

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Text #12

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Data Index: 1009606 (C4 (Web Text))

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Text #13

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Data Index: 433174 (C4 (Web Text))

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Text #14

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Data Index: 138350 (C4 (Web Text))

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Text #15

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Data Index: 1588376 (Python Code)

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Text #16

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Text #17

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Data Index: 129670 (C4 (Web Text))

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Text #18

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Data Index: 378413 (C4 (Web Text))

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Text #19

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Data Index: 108204 (C4 (Web Text))

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