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

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

Neuron 989 in Layer 0

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

Text #0

Max Range: 0.0156. Min Range: -0.0156

Max Act: 0.0156. Min Act: -0.0003

Data Index: 1462983 (Python Code)

Max Activating Token Index: 224

Text #1

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Max Act: 0.0150. Min Act: -0.0004

Data Index: 1622468 (Python Code)

Max Activating Token Index: 727

Text #2

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Max Act: 0.0149. Min Act: -0.0004

Data Index: 1394507 (Python Code)

Max Activating Token Index: 344

Text #3

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Max Act: 0.0148. Min Act: -0.0004

Data Index: 1503554 (Python Code)

Max Activating Token Index: 74

Text #4

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Max Act: 0.0146. Min Act: -0.0004

Data Index: 1608625 (Python Code)

Max Activating Token Index: 948

Text #5

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Max Act: 0.0146. Min Act: -0.0003

Data Index: 1531587 (Python Code)

Max Activating Token Index: 359

Text #6

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Max Act: 0.0146. Min Act: -0.0004

Data Index: 1599195 (Python Code)

Max Activating Token Index: 10

Text #7

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Data Index: 1514220 (Python Code)

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Text #8

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Data Index: 1491520 (Python Code)

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Text #9

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Data Index: 1625598 (Python Code)

Max Activating Token Index: 485

Text #10

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Data Index: 1635153 (Python Code)

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Text #11

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Data Index: 1572605 (Python Code)

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Text #12

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Data Index: 1470161 (Python Code)

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Text #13

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Data Index: 1527515 (Python Code)

Max Activating Token Index: 566

Text #14

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Data Index: 1466686 (Python Code)

Max Activating Token Index: 288

Text #15

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Data Index: 1531195 (Python Code)

Max Activating Token Index: 409

Text #16

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Data Index: 1440957 (Python Code)

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Text #17

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Data Index: 1540324 (Python Code)

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Text #18

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Data Index: 1495574 (Python Code)

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Text #19

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Max Act: 0.0143. Min Act: -0.0003

Data Index: 1419249 (Python Code)

Max Activating Token Index: 566