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

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

Neuron 3353 in Layer 1

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



Text #0

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Max Act: 0.0787. Min Act: -0.0002

Data Index: 1169002 (C4 (Web Text))

Max Activating Token Index: 181

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Text #1

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Max Act: 0.0632. Min Act: -0.0003

Data Index: 1401462 (Python Code)

Max Activating Token Index: 669

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Text #2

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Max Act: 0.0681. Min Act: -0.0003

Data Index: 1544632 (Python Code)

Max Activating Token Index: 13

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Text #3

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Max Act: 0.0627. Min Act: -0.0003

Data Index: 1498447 (Python Code)

Max Activating Token Index: 895

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Text #4

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Max Act: 0.0590. Min Act: -0.0003

Data Index: 1633074 (Python Code)

Max Activating Token Index: 691

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Text #5

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Max Act: 0.0609. Min Act: -0.0003

Data Index: 1099387 (C4 (Web Text))

Max Activating Token Index: 807

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Text #6

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Data Index: 1552740 (Python Code)

Max Activating Token Index: 609

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Text #7

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Data Index: 1393309 (Python Code)

Max Activating Token Index: 418

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Text #8

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Data Index: 828475 (C4 (Web Text))

Max Activating Token Index: 652

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Text #9

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Data Index: 811164 (C4 (Web Text))

Max Activating Token Index: 866

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Text #10

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Data Index: 1310411 (C4 (Web Text))

Max Activating Token Index: 185

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Text #11

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Data Index: 1426283 (Python Code)

Max Activating Token Index: 570

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Text #12

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Data Index: 1576219 (Python Code)

Max Activating Token Index: 834

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Text #13

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Data Index: 1597868 (Python Code)

Max Activating Token Index: 189

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Text #14

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Data Index: 1363394 (Python Code)

Max Activating Token Index: 97

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Text #15

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Data Index: 1640080 (Python Code)

Max Activating Token Index: 285

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Text #16

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Data Index: 1432130 (Python Code)

Max Activating Token Index: 646

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Text #17

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Data Index: 1471398 (Python Code)

Max Activating Token Index: 48

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Text #18

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Data Index: 1381000 (Python Code)

Max Activating Token Index: 197

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Text #19

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Max Act: 0.0546. Min Act: -0.0003

Data Index: 1495942 (Python Code)

Max Activating Token Index: 35

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