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

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

Neuron 67 in Layer 0

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



Text #0

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Max Act: 0.0089. Min Act: -0.0005

Data Index: 1551931 (Python Code)

Max Activating Token Index: 50

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Text #1

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Max Act: 0.0086. Min Act: -0.0005

Data Index: 1590036 (Python Code)

Max Activating Token Index: 763

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Text #2

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Max Act: 0.0086. Min Act: -0.0005

Data Index: 1614057 (Python Code)

Max Activating Token Index: 869

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Text #3

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Data Index: 1435422 (Python Code)

Max Activating Token Index: 769

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Text #4

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Data Index: 1370733 (Python Code)

Max Activating Token Index: 78

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Text #5

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Data Index: 1564725 (Python Code)

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Text #6

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Data Index: 125706 (C4 (Web Text))

Max Activating Token Index: 496

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Text #7

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Data Index: 1504596 (Python Code)

Max Activating Token Index: 382

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Text #8

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Max Act: 0.0080. Min Act: -0.0005

Data Index: 1101343 (C4 (Web Text))

Max Activating Token Index: 221

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Text #9

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Data Index: 465648 (C4 (Web Text))

Max Activating Token Index: 640

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Text #10

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Data Index: 1558036 (Python Code)

Max Activating Token Index: 625

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Text #11

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Data Index: 289939 (C4 (Web Text))

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Text #12

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Data Index: 1204513 (C4 (Web Text))

Max Activating Token Index: 657

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Text #13

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Data Index: 1529951 (Python Code)

Max Activating Token Index: 58

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Text #14

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Data Index: 583322 (C4 (Web Text))

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Text #15

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Data Index: 1363248 (Python Code)

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Text #16

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Data Index: 1601596 (Python Code)

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Text #17

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Data Index: 312692 (C4 (Web Text))

Max Activating Token Index: 448

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Text #18

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Max Act: 0.0075. Min Act: -0.0005

Data Index: 1209305 (C4 (Web Text))

Max Activating Token Index: 553

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Text #19

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Max Act: 0.0075. Min Act: -0.0005

Data Index: 226675 (C4 (Web Text))

Max Activating Token Index: 694

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