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

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

Neuron 835 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: 0.0394. Min Act: -0.0003

Data Index: 669432 (C4 (Web Text))

Max Activating Token Index: 68

Text #1

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Max Act: 0.0337. Min Act: -0.0003

Data Index: 909541 (C4 (Web Text))

Max Activating Token Index: 146

Text #2

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Max Act: 0.0335. Min Act: -0.0003

Data Index: 321137 (C4 (Web Text))

Max Activating Token Index: 377

Text #3

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Max Act: 0.0340. Min Act: -0.0003

Data Index: 1332707 (C4 (Web Text))

Max Activating Token Index: 970

Text #4

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Max Act: 0.0323. Min Act: -0.0003

Data Index: 7092 (C4 (Web Text))

Max Activating Token Index: 784

Text #5

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Max Act: 0.0323. Min Act: -0.0003

Data Index: 1355052 (C4 (Web Text))

Max Activating Token Index: 413

Text #6

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Data Index: 190305 (C4 (Web Text))

Max Activating Token Index: 365

Text #7

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Text #8

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Max Activating Token Index: 460

Text #9

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Data Index: 1046956 (C4 (Web Text))

Max Activating Token Index: 487

Text #10

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Data Index: 510880 (C4 (Web Text))

Max Activating Token Index: 212

Text #11

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Data Index: 1124975 (C4 (Web Text))

Max Activating Token Index: 50

Text #12

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Data Index: 608301 (C4 (Web Text))

Max Activating Token Index: 279

Text #13

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Max Activating Token Index: 963

Text #14

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Max Activating Token Index: 184

Text #15

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Max Activating Token Index: 923

Text #16

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Max Activating Token Index: 48

Text #17

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Data Index: 456143 (C4 (Web Text))

Max Activating Token Index: 175

Text #18

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Data Index: 373793 (C4 (Web Text))

Max Activating Token Index: 208

Text #19

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Data Index: 892225 (C4 (Web Text))

Max Activating Token Index: 285