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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 20 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 0.2069. Min Act: -0.0002

Data Index: 701174 (C4 (Web Text))

Max Activating Token Index: 184

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Text #1

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Max Act: 0.1585. Min Act: -0.0002

Data Index: 631331 (C4 (Web Text))

Max Activating Token Index: 470

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Truncated

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Text #2

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Max Act: 0.1521. Min Act: -0.0002

Data Index: 618138 (C4 (Web Text))

Max Activating Token Index: 220

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Text #3

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Data Index: 371147 (C4 (Web Text))

Max Activating Token Index: 907

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Truncated

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Text #4

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Data Index: 78357 (C4 (Web Text))

Max Activating Token Index: 287

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Truncated

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Text #5

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Data Index: 69212 (C4 (Web Text))

Max Activating Token Index: 672

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Text #6

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Data Index: 528073 (C4 (Web Text))

Max Activating Token Index: 159

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Truncated

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Text #7

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Data Index: 178542 (C4 (Web Text))

Max Activating Token Index: 838

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Truncated

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Text #8

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Data Index: 1338163 (C4 (Web Text))

Max Activating Token Index: 719

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Text #9

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Data Index: 910349 (C4 (Web Text))

Max Activating Token Index: 145

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Text #10

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Data Index: 280328 (C4 (Web Text))

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Truncated

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Text #11

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Truncated

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Text #12

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Data Index: 659774 (C4 (Web Text))

Max Activating Token Index: 790

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Text #13

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Data Index: 757913 (C4 (Web Text))

Max Activating Token Index: 605

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Truncated

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Text #14

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Text #15

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Data Index: 855041 (C4 (Web Text))

Max Activating Token Index: 390

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Text #16

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Truncated

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Text #17

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Data Index: 809026 (C4 (Web Text))

Max Activating Token Index: 346

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Text #18

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Max Act: 0.1437. Min Act: -0.0002

Data Index: 283041 (C4 (Web Text))

Max Activating Token Index: 807

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Truncated

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Text #19

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Max Act: 0.1436. Min Act: -0.0002

Data Index: 1269956 (C4 (Web Text))

Max Activating Token Index: 580

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