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

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

Neuron 1405 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: 0.0632. Min Act: -0.0002

Data Index: 1129339 (C4 (Web Text))

Max Activating Token Index: 512

Text #1

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Data Index: 331417 (C4 (Web Text))

Max Activating Token Index: 911

Text #2

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Data Index: 545590 (C4 (Web Text))

Max Activating Token Index: 293

Text #3

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Data Index: 161334 (C4 (Web Text))

Max Activating Token Index: 739

Text #4

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Data Index: 234587 (C4 (Web Text))

Max Activating Token Index: 58

Text #5

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Data Index: 1302203 (C4 (Web Text))

Max Activating Token Index: 554

Text #6

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Max Activating Token Index: 912

Text #7

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Max Activating Token Index: 534

Text #8

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Max Activating Token Index: 338

Text #9

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Max Activating Token Index: 847

Text #10

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Max Activating Token Index: 108

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Max Activating Token Index: 715

Text #12

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Max Activating Token Index: 757

Text #13

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Max Activating Token Index: 981

Text #14

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Max Activating Token Index: 162

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 351

Text #18

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Max Activating Token Index: 775

Text #19

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Data Index: 495523 (C4 (Web Text))

Max Activating Token Index: 777