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

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

Neuron 227 in Layer 0

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

Text #0

Max Range: 0.0125. Min Range: -0.0125

Max Act: 0.0123. Min Act: -0.0002

Data Index: 1414005 (Python Code)

Max Activating Token Index: 755

Text #1

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Data Index: 1460168 (Python Code)

Max Activating Token Index: 681

Text #2

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Max Act: 0.0125. Min Act: -0.0002

Data Index: 1554288 (Python Code)

Max Activating Token Index: 518

Text #3

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Max Act: 0.0125. Min Act: -0.0002

Data Index: 1373588 (Python Code)

Max Activating Token Index: 473

Text #4

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Max Act: 0.0124. Min Act: -0.0002

Data Index: 1560908 (Python Code)

Max Activating Token Index: 803

Text #5

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Max Act: 0.0124. Min Act: -0.0002

Data Index: 1500172 (Python Code)

Max Activating Token Index: 341

Text #6

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Data Index: 1481094 (Python Code)

Max Activating Token Index: 334

Text #7

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Data Index: 1426397 (Python Code)

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Text #8

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Data Index: 1555235 (Python Code)

Max Activating Token Index: 163

Text #9

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Data Index: 1534451 (Python Code)

Max Activating Token Index: 913

Text #10

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Data Index: 1636420 (Python Code)

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Text #11

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Data Index: 1383518 (Python Code)

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Text #12

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Data Index: 1404336 (Python Code)

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Text #13

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Data Index: 1617895 (Python Code)

Max Activating Token Index: 278

Text #14

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Data Index: 1422152 (Python Code)

Max Activating Token Index: 989

Text #15

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Data Index: 1425784 (Python Code)

Max Activating Token Index: 551

Text #16

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Data Index: 1439596 (Python Code)

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Text #17

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Data Index: 1631470 (Python Code)

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Text #18

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Data Index: 1448623 (Python Code)

Max Activating Token Index: 338

Text #19

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Data Index: 1442860 (Python Code)

Max Activating Token Index: 919