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

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

Neuron 3082 in Layer 3

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

Text #0

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Max Act: 1.1760. Min Act: -0.0001

Data Index: 1288380 (C4 (Web Text))

Max Activating Token Index: 660

Text #1

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Data Index: 511253 (C4 (Web Text))

Max Activating Token Index: 746

Text #2

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Max Act: 1.0507. Min Act: -0.0001

Data Index: 60410 (C4 (Web Text))

Max Activating Token Index: 586

Text #3

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Max Act: 1.0183. Min Act: -0.0001

Data Index: 92025 (C4 (Web Text))

Max Activating Token Index: 824

Text #4

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Data Index: 493521 (C4 (Web Text))

Max Activating Token Index: 746

Text #5

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Data Index: 355613 (C4 (Web Text))

Max Activating Token Index: 685

Text #6

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Data Index: 571082 (C4 (Web Text))

Max Activating Token Index: 157

Text #7

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Max Activating Token Index: 617

Text #8

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Max Activating Token Index: 60

Text #9

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Data Index: 660385 (C4 (Web Text))

Max Activating Token Index: 379

Text #10

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Data Index: 926712 (C4 (Web Text))

Max Activating Token Index: 406

Text #11

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Data Index: 1243704 (C4 (Web Text))

Max Activating Token Index: 3

Text #12

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Max Activating Token Index: 3

Text #13

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Data Index: 148302 (C4 (Web Text))

Max Activating Token Index: 5

Text #14

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Max Activating Token Index: 669

Text #15

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Data Index: 448019 (C4 (Web Text))

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Text #16

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Max Activating Token Index: 97

Text #17

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Data Index: 91854 (C4 (Web Text))

Max Activating Token Index: 524

Text #18

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Max Activating Token Index: 663

Text #19

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Data Index: 1203736 (C4 (Web Text))

Max Activating Token Index: 577