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

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

Neuron 4688 in Layer 0

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



Text #0

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Max Act: 0.0079. Min Act: -0.0002

Data Index: 1571658 (Python Code)

Max Activating Token Index: 321

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Text #1

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Max Act: 0.0077. Min Act: -0.0002

Data Index: 518592 (C4 (Web Text))

Max Activating Token Index: 182

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Text #2

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Max Act: 0.0076. Min Act: -0.0002

Data Index: 1601779 (Python Code)

Max Activating Token Index: 287

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Text #3

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Max Act: 0.0076. Min Act: -0.0002

Data Index: 1472032 (Python Code)

Max Activating Token Index: 823

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Text #4

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Data Index: 1430849 (Python Code)

Max Activating Token Index: 869

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Text #5

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Data Index: 1437026 (Python Code)

Max Activating Token Index: 258

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Text #6

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Data Index: 1549614 (Python Code)

Max Activating Token Index: 861

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Text #7

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Data Index: 1365233 (Python Code)

Max Activating Token Index: 565

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Text #8

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Data Index: 1398158 (Python Code)

Max Activating Token Index: 595

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Text #9

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Data Index: 1425372 (Python Code)

Max Activating Token Index: 676

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Text #10

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Data Index: 1361709 (Python Code)

Max Activating Token Index: 88

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Text #11

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Data Index: 1611508 (Python Code)

Max Activating Token Index: 720

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Text #12

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Data Index: 1390363 (Python Code)

Max Activating Token Index: 372

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Text #13

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Data Index: 372880 (C4 (Web Text))

Max Activating Token Index: 256

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Text #14

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Data Index: 1038223 (C4 (Web Text))

Max Activating Token Index: 101

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Text #15

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Data Index: 65989 (C4 (Web Text))

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Text #16

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Data Index: 1605523 (Python Code)

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Text #17

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Data Index: 1379440 (Python Code)

Max Activating Token Index: 649

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Text #18

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Data Index: 1493689 (Python Code)

Max Activating Token Index: 574

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Text #19

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Max Act: 0.0068. Min Act: -0.0002

Data Index: 58021 (C4 (Web Text))

Max Activating Token Index: 413

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