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

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

Neuron 1414 in Layer 0

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

Text #0

Max Range: 0.0141. Min Range: -0.0141

Max Act: 0.0141. Min Act: -0.0004

Data Index: 1610627 (Python Code)

Max Activating Token Index: 376

Text #1

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Max Act: 0.0131. Min Act: -0.0004

Data Index: 1378595 (Python Code)

Max Activating Token Index: 108

Text #2

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Max Act: 0.0130. Min Act: -0.0004

Data Index: 1431673 (Python Code)

Max Activating Token Index: 393

Text #3

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Max Act: 0.0125. Min Act: -0.0004

Data Index: 1536302 (Python Code)

Max Activating Token Index: 369

Text #4

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Max Act: 0.0124. Min Act: -0.0004

Data Index: 1594798 (Python Code)

Max Activating Token Index: 776

Text #5

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Max Act: 0.0124. Min Act: -0.0004

Data Index: 1472072 (Python Code)

Max Activating Token Index: 845

Text #6

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Data Index: 1443411 (Python Code)

Max Activating Token Index: 694

Text #7

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Data Index: 1508853 (Python Code)

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Text #8

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Data Index: 1486260 (Python Code)

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Text #9

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Data Index: 1388110 (Python Code)

Max Activating Token Index: 932

Text #10

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Data Index: 1517610 (Python Code)

Max Activating Token Index: 735

Text #11

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Data Index: 1418203 (Python Code)

Max Activating Token Index: 251

Text #12

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Data Index: 1372361 (Python Code)

Max Activating Token Index: 235

Text #13

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Data Index: 1538249 (Python Code)

Max Activating Token Index: 585

Text #14

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Max Act: 0.0102. Min Act: -0.0004

Data Index: 1442607 (Python Code)

Max Activating Token Index: 533

Text #15

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Data Index: 1383759 (Python Code)

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Text #16

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Data Index: 1554613 (Python Code)

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Text #17

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Data Index: 1462402 (Python Code)

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Text #18

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Data Index: 1449708 (Python Code)

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Text #19

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Max Act: 0.0100. Min Act: -0.0004

Data Index: 1472130 (Python Code)

Max Activating Token Index: 232