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Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 50 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')



Text #0

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Max Act: 0.1352. Min Act: -0.0005

Data Index: 1618879 (Python Code)

Max Activating Token Index: 467

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Text #1

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Data Index: 1503764 (Python Code)

Max Activating Token Index: 462

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Text #2

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Max Act: 0.1281. Min Act: -0.0006

Data Index: 1460447 (Python Code)

Max Activating Token Index: 271

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Text #3

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Data Index: 1431234 (Python Code)

Max Activating Token Index: 816

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Text #4

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Data Index: 1415374 (Python Code)

Max Activating Token Index: 443

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Text #5

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Data Index: 1567097 (Python Code)

Max Activating Token Index: 925

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Text #6

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Data Index: 1373108 (Python Code)

Max Activating Token Index: 412

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Text #7

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Data Index: 1433997 (Python Code)

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Text #8

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Data Index: 1634326 (Python Code)

Max Activating Token Index: 339

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Text #9

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Data Index: 1359878 (Python Code)

Max Activating Token Index: 461

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Text #10

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Data Index: 1400805 (Python Code)

Max Activating Token Index: 732

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Text #11

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Data Index: 1378638 (Python Code)

Max Activating Token Index: 304

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Text #12

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Text #13

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Text #14

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Data Index: 1546936 (Python Code)

Max Activating Token Index: 382

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Text #15

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Text #16

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Data Index: 1421679 (Python Code)

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Text #17

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Data Index: 1536799 (Python Code)

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Text #18

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Data Index: 1539519 (Python Code)

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Text #19

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Data Index: 1574904 (Python Code)

Max Activating Token Index: 177

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