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

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

Neuron 1068 in Layer 0

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

Text #0

Max Range: 0.0189. Min Range: -0.0189

Max Act: 0.0189. Min Act: -0.0005

Data Index: 1572382 (Python Code)

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0189. Min Act: -0.0005

Data Index: 1644481 (Python Code)

Max Activating Token Index: 159

Text #2

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Max Act: 0.0187. Min Act: -0.0005

Data Index: 1433277 (Python Code)

Max Activating Token Index: 281

Text #3

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Max Act: 0.0181. Min Act: -0.0005

Data Index: 1535391 (Python Code)

Max Activating Token Index: 102

Text #4

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Max Act: 0.0184. Min Act: -0.0005

Data Index: 1561961 (Python Code)

Max Activating Token Index: 859

Text #5

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Max Act: 0.0182. Min Act: -0.0006

Data Index: 1448650 (Python Code)

Max Activating Token Index: 1013

Text #6

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Data Index: 1537571 (Python Code)

Max Activating Token Index: 221

Text #7

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Data Index: 1544109 (Python Code)

Max Activating Token Index: 159

Text #8

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Max Act: 0.0180. Min Act: -0.0006

Data Index: 1618357 (Python Code)

Max Activating Token Index: 585

Text #9

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Data Index: 1378446 (Python Code)

Max Activating Token Index: 352

Text #10

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Data Index: 1492844 (Python Code)

Max Activating Token Index: 805

Text #11

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Data Index: 1445209 (Python Code)

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Text #12

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Data Index: 1392331 (Python Code)

Max Activating Token Index: 858

Text #13

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Data Index: 1512782 (Python Code)

Max Activating Token Index: 677

Text #14

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Data Index: 1423070 (Python Code)

Max Activating Token Index: 328

Text #15

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Data Index: 1371594 (Python Code)

Max Activating Token Index: 32

Text #16

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Data Index: 1428934 (Python Code)

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Text #17

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Data Index: 1505099 (Python Code)

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Text #18

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Data Index: 1371919 (Python Code)

Max Activating Token Index: 729

Text #19

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Max Act: 0.0171. Min Act: -0.0005

Data Index: 1522580 (Python Code)

Max Activating Token Index: 736