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

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

Neuron 1883 in Layer 0

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

Text #0

Max Range: 0.0162. Min Range: -0.0162

Max Act: 0.0162. Min Act: -0.0005

Data Index: 1389607 (Python Code)

Max Activating Token Index: 838

Text #1

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Max Act: 0.0146. Min Act: -0.0005

Data Index: 1613368 (Python Code)

Max Activating Token Index: 230

Text #2

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Max Act: 0.0142. Min Act: -0.0004

Data Index: 1382567 (Python Code)

Max Activating Token Index: 25

Text #3

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Max Act: 0.0141. Min Act: -0.0005

Data Index: 1401892 (Python Code)

Max Activating Token Index: 218

Text #4

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Max Act: 0.0142. Min Act: -0.0005

Data Index: 1438337 (Python Code)

Max Activating Token Index: 307

Text #5

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Max Act: 0.0137. Min Act: -0.0005

Data Index: 1556227 (Python Code)

Max Activating Token Index: 980

Text #6

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Data Index: 1545129 (Python Code)

Max Activating Token Index: 469

Text #7

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Data Index: 1533138 (Python Code)

Max Activating Token Index: 804

Text #8

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Data Index: 896474 (C4 (Web Text))

Max Activating Token Index: 784

Text #9

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Data Index: 1226787 (C4 (Web Text))

Max Activating Token Index: 16

Text #10

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Data Index: 1567194 (Python Code)

Max Activating Token Index: 497

Text #11

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Data Index: 1519626 (Python Code)

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Text #12

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Data Index: 1421360 (Python Code)

Max Activating Token Index: 537

Text #13

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Data Index: 1547265 (Python Code)

Max Activating Token Index: 292

Text #14

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Data Index: 359490 (C4 (Web Text))

Max Activating Token Index: 730

Text #15

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Data Index: 547771 (C4 (Web Text))

Max Activating Token Index: 966

Text #16

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Data Index: 1379025 (Python Code)

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Text #17

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Data Index: 1562531 (Python Code)

Max Activating Token Index: 881

Text #18

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Data Index: 226094 (C4 (Web Text))

Max Activating Token Index: 842

Text #19

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Max Act: 0.0126. Min Act: -0.0006

Data Index: 1164954 (C4 (Web Text))

Max Activating Token Index: 390