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

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

Neuron 1742 in Layer 0

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



Text #0

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Max Act: 0.0165. Min Act: -0.0002

Data Index: 1565117 (Python Code)

Max Activating Token Index: 159

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Text #1

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Max Act: 0.0156. Min Act: -0.0002

Data Index: 546991 (C4 (Web Text))

Max Activating Token Index: 27

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Text #2

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Max Act: 0.0154. Min Act: -0.0002

Data Index: 1489643 (Python Code)

Max Activating Token Index: 307

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Text #3

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Max Act: 0.0154. Min Act: -0.0002

Data Index: 1575095 (Python Code)

Max Activating Token Index: 348

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Text #4

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Data Index: 1455390 (Python Code)

Max Activating Token Index: 789

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Text #5

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Data Index: 1388810 (Python Code)

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Text #6

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Data Index: 1559032 (Python Code)

Max Activating Token Index: 48

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Text #7

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Data Index: 1647133 (Python Code)

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Text #8

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Data Index: 1436720 (Python Code)

Max Activating Token Index: 8

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Text #9

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Data Index: 1623704 (Python Code)

Max Activating Token Index: 862

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Text #10

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Data Index: 1374309 (Python Code)

Max Activating Token Index: 75

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Text #11

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Data Index: 1600633 (Python Code)

Max Activating Token Index: 247

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Text #12

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Data Index: 1434485 (Python Code)

Max Activating Token Index: 500

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Text #13

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Data Index: 676081 (C4 (Web Text))

Max Activating Token Index: 26

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Text #14

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Data Index: 1504597 (Python Code)

Max Activating Token Index: 329

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Text #15

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Data Index: 1606202 (Python Code)

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Text #16

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Data Index: 1477260 (Python Code)

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Text #17

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Data Index: 1494897 (Python Code)

Max Activating Token Index: 313

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Text #18

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Data Index: 1614407 (Python Code)

Max Activating Token Index: 17

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Text #19

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Data Index: 1618346 (Python Code)

Max Activating Token Index: 94

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