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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 32 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 0.0117. Min Act: -0.0002

Data Index: 1398109 (Python Code)

Max Activating Token Index: 304

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Text #1

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Max Act: 0.0118. Min Act: -0.0002

Data Index: 1631557 (Python Code)

Max Activating Token Index: 468

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Text #2

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Max Act: 0.0110. Min Act: -0.0002

Data Index: 1483328 (Python Code)

Max Activating Token Index: 814

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Text #3

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Max Act: 0.0112. Min Act: -0.0002

Data Index: 1438075 (Python Code)

Max Activating Token Index: 64

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Text #4

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Max Act: 0.0109. Min Act: -0.0002

Data Index: 1448665 (Python Code)

Max Activating Token Index: 330

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Text #5

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Data Index: 1372290 (Python Code)

Max Activating Token Index: 580

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Text #6

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Data Index: 1450817 (Python Code)

Max Activating Token Index: 687

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Text #7

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Data Index: 1439139 (Python Code)

Max Activating Token Index: 156

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Text #8

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Data Index: 1475921 (Python Code)

Max Activating Token Index: 273

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Text #9

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Max Act: 0.0098. Min Act: -0.0003

Data Index: 483708 (C4 (Web Text))

Max Activating Token Index: 254

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Text #10

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Data Index: 1383493 (Python Code)

Max Activating Token Index: 100

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Text #11

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Data Index: 1641948 (Python Code)

Max Activating Token Index: 131

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Text #12

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Data Index: 1423316 (Python Code)

Max Activating Token Index: 74

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Text #13

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Data Index: 1543680 (Python Code)

Max Activating Token Index: 341

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Text #14

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Max Act: 0.0095. Min Act: -0.0003

Data Index: 1044588 (C4 (Web Text))

Max Activating Token Index: 145

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Text #15

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Data Index: 1643779 (Python Code)

Max Activating Token Index: 685

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Text #16

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Data Index: 1571067 (Python Code)

Max Activating Token Index: 57

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Text #17

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Data Index: 1618521 (Python Code)

Max Activating Token Index: 46

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Text #18

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Data Index: 1475757 (Python Code)

Max Activating Token Index: 86

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Text #19

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Max Act: 0.0090. Min Act: -0.0003

Data Index: 1562798 (Python Code)

Max Activating Token Index: 367

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