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Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 80 in Layer 8

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

Max Range: 0.0125. Min Range: -0.0125

Max Act: 0.0125. Min Act: -0.0000

Data Index: 230835 (C4 (Web Text))

Max Activating Token Index: 45

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Text #1

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Max Act: 0.0113. Min Act: -0.0000

Data Index: 1261792 (C4 (Web Text))

Max Activating Token Index: 314

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Truncated

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Text #2

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Max Act: 0.0114. Min Act: -0.0000

Data Index: 532111 (C4 (Web Text))

Max Activating Token Index: 34

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Text #3

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Max Act: 0.0104. Min Act: 0.0000

Data Index: 1133905 (C4 (Web Text))

Max Activating Token Index: 280

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Truncated

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Text #4

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Max Act: 0.0107. Min Act: 0.0000

Data Index: 891464 (C4 (Web Text))

Max Activating Token Index: 431

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Truncated

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Text #5

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Max Act: 0.0105. Min Act: -0.0000

Data Index: 186734 (C4 (Web Text))

Max Activating Token Index: 870

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Text #6

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Max Act: 0.0101. Min Act: -0.0000

Data Index: 1544548 (Python Code)

Max Activating Token Index: 639

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Truncated

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Text #7

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Max Act: 0.0110. Min Act: -0.0000

Data Index: 136323 (C4 (Web Text))

Max Activating Token Index: 706

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Truncated

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Text #8

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Max Act: 0.0104. Min Act: -0.0000

Data Index: 624177 (C4 (Web Text))

Max Activating Token Index: 664

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Truncated

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Text #9

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Max Act: 0.0111. Min Act: -0.0000

Data Index: 577563 (C4 (Web Text))

Max Activating Token Index: 624

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Truncated

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Text #10

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Max Act: 0.0099. Min Act: -0.0000

Data Index: 672937 (C4 (Web Text))

Max Activating Token Index: 791

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Truncated

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Text #11

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Data Index: 925481 (C4 (Web Text))

Max Activating Token Index: 12

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Truncated

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Text #12

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Data Index: 941934 (C4 (Web Text))

Max Activating Token Index: 889

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Truncated

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Text #13

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Max Act: 0.0100. Min Act: -0.0000

Data Index: 848185 (C4 (Web Text))

Max Activating Token Index: 450

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Text #14

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Max Act: 0.0103. Min Act: 0.0001

Data Index: 1200919 (C4 (Web Text))

Max Activating Token Index: 299

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Truncated

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Text #15

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Max Act: 0.0104. Min Act: -0.0000

Data Index: 1425992 (Python Code)

Max Activating Token Index: 697

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Text #16

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Max Act: 0.0098. Min Act: 0.0001

Data Index: 131187 (C4 (Web Text))

Max Activating Token Index: 18

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Truncated

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Text #17

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Max Act: 0.0102. Min Act: -0.0000

Data Index: 1359093 (C4 (Web Text))

Max Activating Token Index: 826

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Text #18

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Max Act: 0.0096. Min Act: -0.0000

Data Index: 952923 (C4 (Web Text))

Max Activating Token Index: 721

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Truncated

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Text #19

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Max Act: 0.0097. Min Act: -0.0000

Data Index: 507147 (C4 (Web Text))

Max Activating Token Index: 641

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