Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 665 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0198. Min Act: -0.0004

Data Index: 1539278 (Python Code)

Max Activating Token Index: 105

Text #1

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Max Act: 0.0196. Min Act: -0.0004

Data Index: 1549484 (Python Code)

Max Activating Token Index: 12

Text #2

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Max Act: 0.0196. Min Act: -0.0004

Data Index: 1397385 (Python Code)

Max Activating Token Index: 4

Text #3

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Max Act: 0.0191. Min Act: -0.0004

Data Index: 1517932 (Python Code)

Max Activating Token Index: 585

Text #4

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Max Act: 0.0189. Min Act: -0.0004

Data Index: 1601871 (Python Code)

Max Activating Token Index: 4

Text #5

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Max Act: 0.0188. Min Act: -0.0004

Data Index: 1643177 (Python Code)

Max Activating Token Index: 233

Text #6

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Max Act: 0.0188. Min Act: -0.0004

Data Index: 1543090 (Python Code)

Max Activating Token Index: 8

Text #7

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Data Index: 1509799 (Python Code)

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Text #8

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Data Index: 1466925 (Python Code)

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Text #9

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Data Index: 1587780 (Python Code)

Max Activating Token Index: 40

Text #10

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Data Index: 1569135 (Python Code)

Max Activating Token Index: 351

Text #11

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Data Index: 1429131 (Python Code)

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Text #12

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Data Index: 1529916 (Python Code)

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Text #13

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Data Index: 1609040 (Python Code)

Max Activating Token Index: 5

Text #14

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Data Index: 1564569 (Python Code)

Max Activating Token Index: 809

Text #15

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Data Index: 1464219 (Python Code)

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Text #16

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Data Index: 1449350 (Python Code)

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Text #17

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Data Index: 1359849 (Python Code)

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Text #18

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Data Index: 1383316 (Python Code)

Max Activating Token Index: 549

Text #19

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Data Index: 1592556 (Python Code)

Max Activating Token Index: 99