Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 4507 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')

Text #0

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Data Index: 154544 (C4 (Web Text))

Max Activating Token Index: 282

Text #1

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Max Activating Token Index: 632

Text #2

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Max Activating Token Index: 130

Text #3

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Data Index: 148928 (C4 (Web Text))

Max Activating Token Index: 210

Text #4

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Data Index: 248896 (C4 (Web Text))

Max Activating Token Index: 358

Text #5

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Max Activating Token Index: 644

Text #6

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Max Activating Token Index: 165

Text #7

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Max Activating Token Index: 312

Text #8

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Max Activating Token Index: 830

Text #9

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Max Activating Token Index: 754

Text #10

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Max Activating Token Index: 188

Text #11

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Max Activating Token Index: 477

Text #12

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Max Activating Token Index: 94

Text #13

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Max Activating Token Index: 763

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 261

Text #17

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Max Activating Token Index: 875

Text #18

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Max Activating Token Index: 359

Text #19

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Data Index: 239651 (C4 (Web Text))

Max Activating Token Index: 128