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

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

Neuron 1824 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: 0.0395. Min Act: -0.0003

Data Index: 1278440 (C4 (Web Text))

Max Activating Token Index: 115

Text #1

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Max Act: 0.0387. Min Act: -0.0003

Data Index: 688840 (C4 (Web Text))

Max Activating Token Index: 628

Text #2

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Max Act: 0.0365. Min Act: -0.0003

Data Index: 1329793 (C4 (Web Text))

Max Activating Token Index: 787

Text #3

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Max Act: 0.0364. Min Act: -0.0003

Data Index: 142427 (C4 (Web Text))

Max Activating Token Index: 612

Text #4

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Data Index: 1129028 (C4 (Web Text))

Max Activating Token Index: 916

Text #5

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Data Index: 880049 (C4 (Web Text))

Max Activating Token Index: 263

Text #6

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Max Activating Token Index: 314

Text #7

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Max Activating Token Index: 385

Text #8

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Max Activating Token Index: 865

Text #9

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Data Index: 192 (C4 (Web Text))

Max Activating Token Index: 161

Text #10

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Data Index: 1140555 (C4 (Web Text))

Max Activating Token Index: 194

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Data Index: 410748 (C4 (Web Text))

Max Activating Token Index: 161

Text #12

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Max Activating Token Index: 306

Text #13

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Data Index: 1270001 (C4 (Web Text))

Max Activating Token Index: 450

Text #14

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Data Index: 435677 (C4 (Web Text))

Max Activating Token Index: 805

Text #15

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Max Activating Token Index: 978

Text #16

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Max Activating Token Index: 313

Text #17

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Max Activating Token Index: 567

Text #18

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Data Index: 114770 (C4 (Web Text))

Max Activating Token Index: 293

Text #19

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Data Index: 776667 (C4 (Web Text))

Max Activating Token Index: 316