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

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

Neuron 2482 in Layer 0

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

Text #0

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Max Act: 0.0151. Min Act: -0.0002

Data Index: 1572364 (Python Code)

Max Activating Token Index: 185

Text #1

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Max Act: 0.0141. Min Act: -0.0002

Data Index: 1485774 (Python Code)

Max Activating Token Index: 628

Text #2

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Max Act: 0.0141. Min Act: -0.0002

Data Index: 1442105 (Python Code)

Max Activating Token Index: 251

Text #3

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Max Act: 0.0140. Min Act: -0.0002

Data Index: 1624372 (Python Code)

Max Activating Token Index: 847

Text #4

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Max Act: 0.0140. Min Act: -0.0002

Data Index: 1567828 (Python Code)

Max Activating Token Index: 46

Text #5

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Max Act: 0.0140. Min Act: -0.0002

Data Index: 1522327 (Python Code)

Max Activating Token Index: 370

Text #6

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Data Index: 1436065 (Python Code)

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Text #7

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Data Index: 1574600 (Python Code)

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Text #8

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Data Index: 1502450 (Python Code)

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Text #9

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Data Index: 1439124 (Python Code)

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Text #10

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Data Index: 1595537 (Python Code)

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Text #11

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Data Index: 1554441 (Python Code)

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Text #12

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Data Index: 1451055 (Python Code)

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Text #13

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Data Index: 1462330 (Python Code)

Max Activating Token Index: 919

Text #14

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Data Index: 1587227 (Python Code)

Max Activating Token Index: 227

Text #15

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Data Index: 1617632 (Python Code)

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Text #16

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Data Index: 1520206 (Python Code)

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Text #17

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Data Index: 1645805 (Python Code)

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Text #18

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Data Index: 1599048 (Python Code)

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Text #19

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Max Act: 0.0135. Min Act: -0.0002

Data Index: 1575952 (Python Code)

Max Activating Token Index: 296