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

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

Neuron 2843 in Layer 0

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

Text #0

Max Range: 0.0316. Min Range: -0.0316

Max Act: 0.0316. Min Act: -0.0002

Data Index: 1623763 (Python Code)

Max Activating Token Index: 320

Text #1

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Max Act: 0.0241. Min Act: -0.0002

Data Index: 1383357 (Python Code)

Max Activating Token Index: 300

Text #2

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Max Act: 0.0218. Min Act: -0.0002

Data Index: 1602852 (Python Code)

Max Activating Token Index: 771

Text #3

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Max Act: 0.0208. Min Act: -0.0002

Data Index: 1410422 (Python Code)

Max Activating Token Index: 287

Text #4

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Max Act: 0.0196. Min Act: -0.0002

Data Index: 1418509 (Python Code)

Max Activating Token Index: 838

Text #5

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Max Act: 0.0195. Min Act: -0.0002

Data Index: 1439239 (Python Code)

Max Activating Token Index: 857

Text #6

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Max Act: 0.0186. Min Act: -0.0002

Data Index: 1569299 (Python Code)

Max Activating Token Index: 530

Text #7

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Max Act: 0.0186. Min Act: -0.0002

Data Index: 1450296 (Python Code)

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Text #8

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Data Index: 1611125 (Python Code)

Max Activating Token Index: 333

Text #9

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Max Act: 0.0184. Min Act: -0.0002

Data Index: 1647241 (Python Code)

Max Activating Token Index: 180

Text #10

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Data Index: 1646411 (Python Code)

Max Activating Token Index: 249

Text #11

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Data Index: 1580290 (Python Code)

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Text #12

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Data Index: 1409846 (Python Code)

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Text #13

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Data Index: 1427206 (Python Code)

Max Activating Token Index: 515

Text #14

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Max Act: 0.0176. Min Act: -0.0002

Data Index: 1621237 (Python Code)

Max Activating Token Index: 505

Text #15

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Data Index: 1534638 (Python Code)

Max Activating Token Index: 829

Text #16

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Data Index: 1642200 (Python Code)

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Text #17

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Data Index: 1492828 (Python Code)

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Text #18

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Data Index: 1445999 (Python Code)

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Text #19

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Max Act: 0.0160. Min Act: -0.0002

Data Index: 1466507 (Python Code)

Max Activating Token Index: 341