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Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 652 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')



Text #0

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Max Act: 0.0886. Min Act: -0.0005

Data Index: 1468395 (Python Code)

Max Activating Token Index: 941

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Text #1

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Max Act: 0.0852. Min Act: -0.0005

Data Index: 1436954 (Python Code)

Max Activating Token Index: 983

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Text #2

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Max Act: 0.0689. Min Act: -0.0005

Data Index: 1055714 (C4 (Web Text))

Max Activating Token Index: 994

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Text #3

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Max Act: 0.0486. Min Act: -0.0006

Data Index: 453458 (C4 (Web Text))

Max Activating Token Index: 898

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Text #4

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Max Act: 0.0479. Min Act: -0.0005

Data Index: 1501421 (Python Code)

Max Activating Token Index: 945

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Text #5

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Max Act: 0.0458. Min Act: -0.0005

Data Index: 1506790 (Python Code)

Max Activating Token Index: 960

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Text #6

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Data Index: 1502343 (Python Code)

Max Activating Token Index: 1018

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Text #7

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Data Index: 1509406 (Python Code)

Max Activating Token Index: 884

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Text #8

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Data Index: 1481843 (Python Code)

Max Activating Token Index: 904

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Text #9

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Data Index: 1427172 (Python Code)

Max Activating Token Index: 897

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Text #10

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Data Index: 1475556 (Python Code)

Max Activating Token Index: 898

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Text #11

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Data Index: 767312 (C4 (Web Text))

Max Activating Token Index: 797

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Text #12

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Data Index: 1404319 (Python Code)

Max Activating Token Index: 899

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Text #13

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Data Index: 617150 (C4 (Web Text))

Max Activating Token Index: 888

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Text #14

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Data Index: 491695 (C4 (Web Text))

Max Activating Token Index: 865

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Text #15

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Data Index: 1638658 (Python Code)

Max Activating Token Index: 982

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Text #16

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Data Index: 1450599 (Python Code)

Max Activating Token Index: 982

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Text #17

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Data Index: 1502512 (Python Code)

Max Activating Token Index: 810

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Text #18

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Data Index: 1462513 (Python Code)

Max Activating Token Index: 937

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Text #19

Max Range: 0.0886. Min Range: -0.0886

Max Act: 0.0361. Min Act: -0.0005

Data Index: 1500666 (Python Code)

Max Activating Token Index: 903

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