Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 23 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0276. Min Act: -0.0002

Data Index: 1439347 (Python Code)

Max Activating Token Index: 525

Text #1

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Max Act: 0.0274. Min Act: -0.0002

Data Index: 1375141 (Python Code)

Max Activating Token Index: 124

Text #2

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Max Act: 0.0260. Min Act: -0.0002

Data Index: 1414589 (Python Code)

Max Activating Token Index: 295

Text #3

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Max Act: 0.0257. Min Act: -0.0002

Data Index: 1619135 (Python Code)

Max Activating Token Index: 327

Text #4

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Max Act: 0.0253. Min Act: -0.0002

Data Index: 1406861 (Python Code)

Max Activating Token Index: 695

Text #5

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Data Index: 1455874 (Python Code)

Max Activating Token Index: 605

Text #6

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Data Index: 1598232 (Python Code)

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Text #7

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Data Index: 1460254 (Python Code)

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Text #8

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Data Index: 1420825 (Python Code)

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Text #9

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Data Index: 1477628 (Python Code)

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Text #10

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Data Index: 1359979 (Python Code)

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Text #11

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Data Index: 1406683 (Python Code)

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Text #12

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Data Index: 1512016 (Python Code)

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Text #13

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Data Index: 583043 (C4 (Web Text))

Max Activating Token Index: 58

Text #14

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Data Index: 1634032 (Python Code)

Max Activating Token Index: 789

Text #15

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Data Index: 1567934 (Python Code)

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Text #16

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Data Index: 1603503 (Python Code)

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Text #17

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Data Index: 1362599 (Python Code)

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Text #18

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Data Index: 1640582 (Python Code)

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Text #19

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Max Act: 0.0223. Min Act: -0.0002

Data Index: 1594903 (Python Code)

Max Activating Token Index: 117