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

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

Neuron 105 in Layer 0

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



Text #0

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Max Act: 0.0239. Min Act: -0.0006

Data Index: 1410204 (Python Code)

Max Activating Token Index: 77

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Text #1

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Data Index: 1451008 (Python Code)

Max Activating Token Index: 916

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Text #2

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Max Act: 0.0210. Min Act: -0.0006

Data Index: 1551671 (Python Code)

Max Activating Token Index: 184

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Text #3

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Data Index: 1415682 (Python Code)

Max Activating Token Index: 62

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Text #4

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Data Index: 1615344 (Python Code)

Max Activating Token Index: 1014

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Text #5

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Data Index: 1532868 (Python Code)

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Data Index: 1550346 (Python Code)

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Text #7

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Data Index: 1551188 (Python Code)

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Text #8

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Data Index: 1460917 (Python Code)

Max Activating Token Index: 39

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Text #9

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Data Index: 1408982 (Python Code)

Max Activating Token Index: 195

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Text #10

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Data Index: 1459921 (Python Code)

Max Activating Token Index: 667

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Text #11

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Data Index: 1646394 (Python Code)

Max Activating Token Index: 43

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Text #12

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Data Index: 1439882 (Python Code)

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Text #13

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Data Index: 1639901 (Python Code)

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Text #14

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Data Index: 1621492 (Python Code)

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Text #15

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Data Index: 1505099 (Python Code)

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Text #16

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Data Index: 1622040 (Python Code)

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Text #17

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Data Index: 1491157 (Python Code)

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Text #18

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Data Index: 1480955 (Python Code)

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Text #19

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Data Index: 1441461 (Python Code)

Max Activating Token Index: 605

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