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Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 2019 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')



Text #0

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Max Act: 0.0187. Min Act: -0.0005

Data Index: 1499970 (Python Code)

Max Activating Token Index: 718

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Text #1

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Max Act: 0.0189. Min Act: -0.0005

Data Index: 1526546 (Python Code)

Max Activating Token Index: 935

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Text #2

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Max Act: 0.0174. Min Act: -0.0005

Data Index: 1389498 (Python Code)

Max Activating Token Index: 793

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Text #3

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Max Act: 0.0165. Min Act: -0.0005

Data Index: 1601677 (Python Code)

Max Activating Token Index: 972

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Text #4

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Data Index: 1442179 (Python Code)

Max Activating Token Index: 670

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Text #5

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Data Index: 1526133 (Python Code)

Max Activating Token Index: 916

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Data Index: 1578997 (Python Code)

Max Activating Token Index: 847

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Text #7

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Data Index: 1421671 (Python Code)

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Text #8

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Data Index: 1444942 (Python Code)

Max Activating Token Index: 1004

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Text #9

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Data Index: 1447346 (Python Code)

Max Activating Token Index: 7

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Text #10

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Data Index: 1417935 (Python Code)

Max Activating Token Index: 618

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Text #11

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Data Index: 1436193 (Python Code)

Max Activating Token Index: 753

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Text #12

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Data Index: 1590269 (Python Code)

Max Activating Token Index: 933

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Text #13

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Data Index: 1547613 (Python Code)

Max Activating Token Index: 850

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Text #14

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Data Index: 1400157 (Python Code)

Max Activating Token Index: 27

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Text #15

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Data Index: 1443605 (Python Code)

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Text #16

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Data Index: 1636706 (Python Code)

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Text #17

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Data Index: 1612431 (Python Code)

Max Activating Token Index: 704

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Text #18

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Data Index: 1477297 (Python Code)

Max Activating Token Index: 764

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Text #19

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Data Index: 1616048 (Python Code)

Max Activating Token Index: 414

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