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

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

Neuron 3303 in Layer 1

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: 0.0254. Min Act: -0.0003

Data Index: 242324 (C4 (Web Text))

Max Activating Token Index: 459

Text #1

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Data Index: 684826 (C4 (Web Text))

Max Activating Token Index: 830

Text #2

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Max Act: 0.0221. Min Act: -0.0003

Data Index: 743274 (C4 (Web Text))

Max Activating Token Index: 20

Text #3

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Data Index: 642910 (C4 (Web Text))

Max Activating Token Index: 669

Text #4

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Data Index: 677721 (C4 (Web Text))

Max Activating Token Index: 271

Text #5

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Data Index: 349951 (C4 (Web Text))

Max Activating Token Index: 36

Text #6

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Data Index: 1347291 (C4 (Web Text))

Max Activating Token Index: 314

Text #7

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Text #8

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Max Activating Token Index: 215

Text #9

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Data Index: 132551 (C4 (Web Text))

Max Activating Token Index: 539

Text #10

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Data Index: 559039 (C4 (Web Text))

Max Activating Token Index: 139

Text #11

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Data Index: 785971 (C4 (Web Text))

Max Activating Token Index: 125

Text #12

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Max Activating Token Index: 629

Text #13

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Max Activating Token Index: 743

Text #14

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Data Index: 440644 (C4 (Web Text))

Max Activating Token Index: 75

Text #15

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Max Activating Token Index: 326

Text #16

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Max Activating Token Index: 55

Text #17

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Max Activating Token Index: 381

Text #18

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Data Index: 348122 (C4 (Web Text))

Max Activating Token Index: 456

Text #19

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Data Index: 718270 (C4 (Web Text))

Max Activating Token Index: 164