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

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

Neuron 3809 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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Max Act: 0.0578. Min Act: -0.0002

Data Index: 678250 (C4 (Web Text))

Max Activating Token Index: 263

Text #1

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Max Activating Token Index: 614

Text #2

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Max Activating Token Index: 1022

Text #3

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Data Index: 373615 (C4 (Web Text))

Max Activating Token Index: 910

Text #4

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Data Index: 208544 (C4 (Web Text))

Max Activating Token Index: 370

Text #5

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Data Index: 493281 (C4 (Web Text))

Max Activating Token Index: 603

Text #6

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Max Activating Token Index: 757

Text #7

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Max Activating Token Index: 507

Text #8

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Max Activating Token Index: 56

Text #9

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Max Activating Token Index: 310

Text #10

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Max Activating Token Index: 136

Text #11

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Max Activating Token Index: 772

Text #12

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Max Activating Token Index: 496

Text #13

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Max Activating Token Index: 990

Text #14

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Max Activating Token Index: 602

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 424

Text #18

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Max Activating Token Index: 234

Text #19

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Data Index: 79217 (C4 (Web Text))

Max Activating Token Index: 402