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Model: SoLU Model: 1 Layers, 2048 Neurons per Layer

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

Neuron 702 in Layer 0

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Hooked Transformer Loading: HookedTransformer.from_pretrained('solu-1l')

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Text #0

Max Range: 0.0140. Min Range: -0.0140

Max Act: 0.0140. Min Act: -0.0002

Data Index: 816169 (C4 (Web Text))

Max Activating Token Index: 489

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Text #1

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Max Act: 0.0119. Min Act: -0.0003

Data Index: 1488781 (Python Code)

Max Activating Token Index: 848

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Text #2

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Max Act: 0.0115. Min Act: -0.0002

Data Index: 581416 (C4 (Web Text))

Max Activating Token Index: 715

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Text #3

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Max Act: 0.0112. Min Act: -0.0002

Data Index: 129325 (C4 (Web Text))

Max Activating Token Index: 618

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Text #4

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Max Act: 0.0107. Min Act: -0.0002

Data Index: 998478 (C4 (Web Text))

Max Activating Token Index: 344

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Text #5

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Max Act: 0.0108. Min Act: -0.0003

Data Index: 1501442 (Python Code)

Max Activating Token Index: 759

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Text #6

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Data Index: 1378197 (Python Code)

Max Activating Token Index: 640

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Text #7

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Data Index: 1583007 (Python Code)

Max Activating Token Index: 518

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Text #8

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Data Index: 1538263 (Python Code)

Max Activating Token Index: 767

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Text #9

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Data Index: 1647995 (Python Code)

Max Activating Token Index: 187

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Text #10

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Data Index: 105928 (C4 (Web Text))

Max Activating Token Index: 260

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Text #11

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Data Index: 1436069 (Python Code)

Max Activating Token Index: 910

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Text #12

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Data Index: 1611046 (Python Code)

Max Activating Token Index: 550

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Text #13

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Data Index: 1395948 (Python Code)

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Text #14

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Data Index: 1648247 (Python Code)

Max Activating Token Index: 989

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Text #15

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Data Index: 1657066 (Python Code)

Max Activating Token Index: 409

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Text #16

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Data Index: 1467874 (Python Code)

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Text #17

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Max Act: 0.0095. Min Act: -0.0002

Data Index: 656349 (C4 (Web Text))

Max Activating Token Index: 167

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Text #18

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Data Index: 1431492 (Python Code)

Max Activating Token Index: 637

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Text #19

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Max Act: 0.0094. Min Act: -0.0002

Data Index: 1173415 (C4 (Web Text))

Max Activating Token Index: 735

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