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Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 1495 in Layer 7

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

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Max Act: 0.4183. Min Act: -0.0000

Data Index: 1379373 (Python Code)

Max Activating Token Index: 665

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Text #1

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Max Act: 0.3565. Min Act: -0.0000

Data Index: 1388142 (Python Code)

Max Activating Token Index: 809

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Text #2

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Max Act: 0.3680. Min Act: -0.0000

Data Index: 1389731 (Python Code)

Max Activating Token Index: 741

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Text #3

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Max Act: 0.2900. Min Act: -0.0000

Data Index: 1033489 (C4 (Web Text))

Max Activating Token Index: 196

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Text #4

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Data Index: 1495712 (Python Code)

Max Activating Token Index: 896

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Text #5

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Data Index: 942684 (C4 (Web Text))

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Text #6

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Data Index: 1574927 (Python Code)

Max Activating Token Index: 604

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Text #7

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Data Index: 1590781 (Python Code)

Max Activating Token Index: 817

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Text #8

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Data Index: 1498388 (Python Code)

Max Activating Token Index: 993

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Text #9

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Data Index: 1425791 (Python Code)

Max Activating Token Index: 470

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Text #10

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Data Index: 1591670 (Python Code)

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Text #11

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Data Index: 1131017 (C4 (Web Text))

Max Activating Token Index: 727

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Text #12

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Data Index: 1458453 (Python Code)

Max Activating Token Index: 635

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Text #13

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Data Index: 444676 (C4 (Web Text))

Max Activating Token Index: 771

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Text #14

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Data Index: 1317937 (C4 (Web Text))

Max Activating Token Index: 252

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Text #15

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Data Index: 1523760 (Python Code)

Max Activating Token Index: 1013

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Text #16

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Data Index: 1513483 (Python Code)

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Text #17

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Data Index: 1508313 (Python Code)

Max Activating Token Index: 468

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Text #18

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Data Index: 1481504 (Python Code)

Max Activating Token Index: 213

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Text #19

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Data Index: 1604019 (Python Code)

Max Activating Token Index: 269

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