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

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

Neuron 4129 in Layer 2

Load this data into an Interactive Neuroscope

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

Text #0

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Data Index: 1189596 (C4 (Web Text))

Max Activating Token Index: 164

Text #1

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Max Activating Token Index: 137

Text #2

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Data Index: 715142 (C4 (Web Text))

Max Activating Token Index: 955

Text #3

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Data Index: 775939 (C4 (Web Text))

Max Activating Token Index: 662

Text #4

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Data Index: 474519 (C4 (Web Text))

Max Activating Token Index: 901

Text #5

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Max Activating Token Index: 35

Text #6

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Max Activating Token Index: 632

Text #7

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Max Activating Token Index: 245

Text #8

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Max Activating Token Index: 369

Text #9

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Max Activating Token Index: 507

Text #10

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Max Activating Token Index: 934

Text #11

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Max Activating Token Index: 20

Text #12

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Max Activating Token Index: 457

Text #13

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Data Index: 289809 (C4 (Web Text))

Max Activating Token Index: 231

Text #14

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Max Activating Token Index: 436

Text #15

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Max Activating Token Index: 560

Text #16

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Max Activating Token Index: 108

Text #17

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Max Activating Token Index: 348

Text #18

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Data Index: 463395 (C4 (Web Text))

Max Activating Token Index: 227

Text #19

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Data Index: 869662 (C4 (Web Text))

Max Activating Token Index: 146