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

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

Neuron 3330 in Layer 5

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 0.4350. Min Act: -0.0000

Data Index: 1369159 (Python Code)

Max Activating Token Index: 870

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Text #1

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Max Act: 0.3507. Min Act: -0.0000

Data Index: 1219126 (C4 (Web Text))

Max Activating Token Index: 53

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Text #2

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Max Act: 0.3607. Min Act: -0.0000

Data Index: 288810 (C4 (Web Text))

Max Activating Token Index: 158

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Text #3

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Max Act: 0.3701. Min Act: -0.0000

Data Index: 1261407 (C4 (Web Text))

Max Activating Token Index: 575

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Truncated

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Text #4

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Max Act: 0.3779. Min Act: -0.0000

Data Index: 1488902 (Python Code)

Max Activating Token Index: 171

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Text #5

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Max Act: 0.3376. Min Act: -0.0000

Data Index: 689871 (C4 (Web Text))

Max Activating Token Index: 907

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Text #6

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Data Index: 67945 (C4 (Web Text))

Max Activating Token Index: 449

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Text #7

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Data Index: 684608 (C4 (Web Text))

Max Activating Token Index: 622

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Text #8

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Data Index: 10436 (C4 (Web Text))

Max Activating Token Index: 232

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Text #9

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Data Index: 522917 (C4 (Web Text))

Max Activating Token Index: 110

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Text #10

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Data Index: 567150 (C4 (Web Text))

Max Activating Token Index: 218

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Text #11

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Text #12

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Data Index: 600189 (C4 (Web Text))

Max Activating Token Index: 213

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Text #13

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Data Index: 309075 (C4 (Web Text))

Max Activating Token Index: 478

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Text #14

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Data Index: 103085 (C4 (Web Text))

Max Activating Token Index: 128

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Text #15

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Data Index: 722024 (C4 (Web Text))

Max Activating Token Index: 423

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Text #16

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Data Index: 1308198 (C4 (Web Text))

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Text #17

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Data Index: 243282 (C4 (Web Text))

Max Activating Token Index: 783

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Text #18

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Max Act: 0.2893. Min Act: -0.0000

Data Index: 973005 (C4 (Web Text))

Max Activating Token Index: 84

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Text #19

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Data Index: 626001 (C4 (Web Text))

Max Activating Token Index: 658

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