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

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

Neuron 59 in Layer 0

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



Text #0

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Max Act: 0.0237. Min Act: -0.0006

Data Index: 1523778 (Python Code)

Max Activating Token Index: 958

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Text #1

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Data Index: 1620518 (Python Code)

Max Activating Token Index: 11

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Text #2

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Max Act: 0.0231. Min Act: -0.0006

Data Index: 1520283 (Python Code)

Max Activating Token Index: 7

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Text #3

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Max Act: 0.0230. Min Act: -0.0005

Data Index: 1642297 (Python Code)

Max Activating Token Index: 11

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Text #4

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Data Index: 1641433 (Python Code)

Max Activating Token Index: 11

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Text #5

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Data Index: 1394021 (Python Code)

Max Activating Token Index: 33

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Text #6

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Data Index: 1504468 (Python Code)

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Text #7

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Data Index: 1363186 (Python Code)

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Text #8

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Data Index: 1605457 (Python Code)

Max Activating Token Index: 643

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Text #9

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Data Index: 1456987 (Python Code)

Max Activating Token Index: 11

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Text #10

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Data Index: 1648020 (Python Code)

Max Activating Token Index: 614

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Text #11

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Data Index: 1641848 (Python Code)

Max Activating Token Index: 13

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Text #12

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Data Index: 1512804 (Python Code)

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Text #13

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Data Index: 1574913 (Python Code)

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Text #14

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Data Index: 1501148 (Python Code)

Max Activating Token Index: 707

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Text #15

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Data Index: 1467807 (Python Code)

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Text #16

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Data Index: 1582461 (Python Code)

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Text #17

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Data Index: 1503137 (Python Code)

Max Activating Token Index: 523

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Text #18

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Data Index: 1551864 (Python Code)

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Text #19

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Data Index: 1486253 (Python Code)

Max Activating Token Index: 688

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