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Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 2015 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')



Text #0

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Max Act: 0.0117. Min Act: -0.0005

Data Index: 1623098 (Python Code)

Max Activating Token Index: 673

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Text #1

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Max Act: 0.0115. Min Act: -0.0006

Data Index: 1645702 (Python Code)

Max Activating Token Index: 541

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Text #2

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Max Act: 0.0113. Min Act: -0.0005

Data Index: 1530792 (Python Code)

Max Activating Token Index: 270

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Text #3

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Max Act: 0.0114. Min Act: -0.0005

Data Index: 1542108 (Python Code)

Max Activating Token Index: 485

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Text #4

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Max Act: 0.0111. Min Act: -0.0005

Data Index: 1437735 (Python Code)

Max Activating Token Index: 240

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Text #5

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Data Index: 1538861 (Python Code)

Max Activating Token Index: 921

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Data Index: 1532248 (Python Code)

Max Activating Token Index: 391

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Text #7

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Data Index: 1589425 (Python Code)

Max Activating Token Index: 537

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Text #8

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Data Index: 1389080 (Python Code)

Max Activating Token Index: 427

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Text #9

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Data Index: 1436834 (Python Code)

Max Activating Token Index: 377

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Text #10

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Data Index: 1596332 (Python Code)

Max Activating Token Index: 875

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Text #11

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Data Index: 1538536 (Python Code)

Max Activating Token Index: 303

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Text #12

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Data Index: 1409205 (Python Code)

Max Activating Token Index: 393

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Text #13

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Data Index: 1423157 (Python Code)

Max Activating Token Index: 387

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Text #14

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Data Index: 1579106 (Python Code)

Max Activating Token Index: 968

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Text #15

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Data Index: 1540266 (Python Code)

Max Activating Token Index: 950

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Text #16

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Data Index: 1595459 (Python Code)

Max Activating Token Index: 124

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Text #17

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Data Index: 1511285 (Python Code)

Max Activating Token Index: 906

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Text #18

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Data Index: 1441153 (Python Code)

Max Activating Token Index: 237

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Text #19

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Data Index: 1501934 (Python Code)

Max Activating Token Index: 927

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