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

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

Neuron 47 in Layer 3

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



Text #0

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Max Act: 0.0917. Min Act: -0.0001

Data Index: 791546 (C4 (Web Text))

Max Activating Token Index: 727

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Text #1

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Max Act: 0.0664. Min Act: -0.0001

Data Index: 809786 (C4 (Web Text))

Max Activating Token Index: 868

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Truncated

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Text #2

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Max Act: 0.0643. Min Act: -0.0001

Data Index: 1016984 (C4 (Web Text))

Max Activating Token Index: 451

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Text #3

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Max Act: 0.0578. Min Act: -0.0001

Data Index: 666831 (C4 (Web Text))

Max Activating Token Index: 716

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Truncated

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Text #4

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Data Index: 1516321 (Python Code)

Max Activating Token Index: 935

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Text #5

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Data Index: 1491760 (Python Code)

Max Activating Token Index: 958

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Text #6

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Data Index: 1648678 (Python Code)

Max Activating Token Index: 465

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Text #7

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Data Index: 700676 (C4 (Web Text))

Max Activating Token Index: 856

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Truncated

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Text #8

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Data Index: 381199 (C4 (Web Text))

Max Activating Token Index: 856

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Text #9

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Data Index: 1119480 (C4 (Web Text))

Max Activating Token Index: 511

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Text #10

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Data Index: 1432909 (Python Code)

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Text #11

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Data Index: 1285020 (C4 (Web Text))

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Text #12

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Data Index: 390792 (C4 (Web Text))

Max Activating Token Index: 498

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Text #13

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Data Index: 1530683 (Python Code)

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Text #14

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Data Index: 1087925 (C4 (Web Text))

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Text #15

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Data Index: 64631 (C4 (Web Text))

Max Activating Token Index: 750

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Text #16

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Data Index: 72065 (C4 (Web Text))

Max Activating Token Index: 629

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Text #17

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Max Act: 0.0528. Min Act: -0.0001

Data Index: 1522794 (Python Code)

Max Activating Token Index: 154

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Text #18

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Max Act: 0.0491. Min Act: -0.0000

Data Index: 72105 (C4 (Web Text))

Max Activating Token Index: 264

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Truncated

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Text #19

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Max Act: 0.0530. Min Act: -0.0001

Data Index: 1250222 (C4 (Web Text))

Max Activating Token Index: 956

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