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

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

Neuron 1935 in Layer 0

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



Text #0

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Max Act: 0.0126. Min Act: -0.0005

Data Index: 1552851 (Python Code)

Max Activating Token Index: 609

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Text #1

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Max Act: 0.0117. Min Act: -0.0005

Data Index: 1578244 (Python Code)

Max Activating Token Index: 74

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Text #2

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Max Act: 0.0114. Min Act: -0.0005

Data Index: 1370035 (Python Code)

Max Activating Token Index: 231

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Text #3

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Max Act: 0.0114. Min Act: -0.0005

Data Index: 1528739 (Python Code)

Max Activating Token Index: 584

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Text #4

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Data Index: 1423046 (Python Code)

Max Activating Token Index: 717

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Text #5

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Max Act: 0.0115. Min Act: -0.0005

Data Index: 1532106 (Python Code)

Max Activating Token Index: 22

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Text #6

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Data Index: 1487431 (Python Code)

Max Activating Token Index: 641

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Text #7

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Data Index: 1511609 (Python Code)

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Text #8

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Data Index: 1449842 (Python Code)

Max Activating Token Index: 432

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Text #9

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Max Act: 0.0111. Min Act: -0.0005

Data Index: 15033 (C4 (Web Text))

Max Activating Token Index: 393

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Text #10

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Data Index: 1475911 (Python Code)

Max Activating Token Index: 607

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Text #11

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Data Index: 1254470 (C4 (Web Text))

Max Activating Token Index: 639

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Text #12

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Data Index: 1474242 (Python Code)

Max Activating Token Index: 700

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Text #13

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Data Index: 1391948 (Python Code)

Max Activating Token Index: 511

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Text #14

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Data Index: 1488174 (Python Code)

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Text #15

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Data Index: 1417115 (Python Code)

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Text #16

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Data Index: 1515685 (Python Code)

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Text #17

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Data Index: 564474 (C4 (Web Text))

Max Activating Token Index: 83

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Text #18

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Data Index: 314421 (C4 (Web Text))

Max Activating Token Index: 322

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Text #19

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Max Act: 0.0107. Min Act: -0.0005

Data Index: 1465109 (Python Code)

Max Activating Token Index: 179

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