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

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

Neuron 1905 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

Max Range: 0.0249. Min Range: -0.0249

Max Act: 0.0245. Min Act: -0.0003

Data Index: 492119 (C4 (Web Text))

Max Activating Token Index: 746

Text #1

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Max Act: 0.0243. Min Act: -0.0003

Data Index: 857451 (C4 (Web Text))

Max Activating Token Index: 949

Text #2

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Max Act: 0.0249. Min Act: -0.0003

Data Index: 1076284 (C4 (Web Text))

Max Activating Token Index: 161

Text #3

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Max Act: 0.0231. Min Act: -0.0003

Data Index: 901256 (C4 (Web Text))

Max Activating Token Index: 314

Text #4

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Max Act: 0.0236. Min Act: -0.0003

Data Index: 1243288 (C4 (Web Text))

Max Activating Token Index: 158

Text #5

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Max Act: 0.0230. Min Act: -0.0003

Data Index: 865732 (C4 (Web Text))

Max Activating Token Index: 463

Text #6

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Data Index: 391324 (C4 (Web Text))

Max Activating Token Index: 436

Text #7

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Data Index: 697045 (C4 (Web Text))

Max Activating Token Index: 372

Text #8

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Data Index: 520437 (C4 (Web Text))

Max Activating Token Index: 86

Text #9

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Data Index: 920140 (C4 (Web Text))

Max Activating Token Index: 367

Text #10

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Data Index: 676681 (C4 (Web Text))

Max Activating Token Index: 452

Text #11

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Data Index: 574681 (C4 (Web Text))

Max Activating Token Index: 362

Text #12

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Data Index: 4701 (C4 (Web Text))

Max Activating Token Index: 625

Text #13

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Data Index: 638199 (C4 (Web Text))

Max Activating Token Index: 33

Text #14

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Data Index: 344233 (C4 (Web Text))

Max Activating Token Index: 232

Text #15

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Max Activating Token Index: 113

Text #16

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Max Activating Token Index: 532

Text #17

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Max Activating Token Index: 125

Text #18

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Data Index: 260594 (C4 (Web Text))

Max Activating Token Index: 41

Text #19

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Max Act: 0.0196. Min Act: -0.0003

Data Index: 196069 (C4 (Web Text))

Max Activating Token Index: 818