Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 670 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0323. Min Act: -0.0003

Data Index: 587832 (C4 (Web Text))

Max Activating Token Index: 412

Text #1

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Max Act: 0.0309. Min Act: -0.0003

Data Index: 702937 (C4 (Web Text))

Max Activating Token Index: 941

Text #2

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Max Act: 0.0314. Min Act: -0.0003

Data Index: 154510 (C4 (Web Text))

Max Activating Token Index: 96

Text #3

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Max Act: 0.0318. Min Act: -0.0003

Data Index: 502290 (C4 (Web Text))

Max Activating Token Index: 731

Text #4

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Data Index: 14988 (C4 (Web Text))

Max Activating Token Index: 839

Text #5

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Max Act: 0.0303. Min Act: -0.0003

Data Index: 328665 (C4 (Web Text))

Max Activating Token Index: 592

Text #6

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Data Index: 891310 (C4 (Web Text))

Max Activating Token Index: 372

Text #7

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Max Activating Token Index: 614

Text #8

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Max Activating Token Index: 796

Text #9

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Max Activating Token Index: 455

Text #10

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Data Index: 1346884 (C4 (Web Text))

Max Activating Token Index: 252

Text #11

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Max Activating Token Index: 1012

Text #12

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Max Activating Token Index: 280

Text #13

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Max Activating Token Index: 878

Text #14

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Max Activating Token Index: 271

Text #15

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Text #16

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Max Activating Token Index: 191

Text #17

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Max Activating Token Index: 530

Text #18

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Max Activating Token Index: 575

Text #19

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Data Index: 1055585 (C4 (Web Text))

Max Activating Token Index: 802