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

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

Neuron 1898 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: 0.0218. Min Act: -0.0003

Data Index: 938186 (C4 (Web Text))

Max Activating Token Index: 119

Text #1

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Max Act: 0.0178. Min Act: -0.0003

Data Index: 801047 (C4 (Web Text))

Max Activating Token Index: 926

Text #2

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Max Act: 0.0174. Min Act: -0.0003

Data Index: 117947 (C4 (Web Text))

Max Activating Token Index: 144

Text #3

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Max Act: 0.0173. Min Act: -0.0003

Data Index: 1078784 (C4 (Web Text))

Max Activating Token Index: 55

Text #4

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Max Act: 0.0179. Min Act: -0.0003

Data Index: 20629 (C4 (Web Text))

Max Activating Token Index: 23

Text #5

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Max Act: 0.0175. Min Act: -0.0003

Data Index: 254220 (C4 (Web Text))

Max Activating Token Index: 395

Text #6

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Max Act: 0.0173. Min Act: -0.0003

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Text #7

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Max Activating Token Index: 510

Text #8

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Max Activating Token Index: 330

Text #9

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Max Activating Token Index: 644

Text #10

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Max Activating Token Index: 379

Text #11

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Max Activating Token Index: 192

Text #12

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Max Activating Token Index: 400

Text #13

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Max Activating Token Index: 245

Text #14

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Max Activating Token Index: 1003

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 300

Text #18

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Max Activating Token Index: 301

Text #19

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Max Act: 0.0164. Min Act: -0.0003

Data Index: 1105384 (C4 (Web Text))

Max Activating Token Index: 914