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

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

Neuron 1036 in Layer 1

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

Text #0

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Data Index: 12134 (C4 (Web Text))

Max Activating Token Index: 635

Text #1

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Data Index: 469229 (C4 (Web Text))

Max Activating Token Index: 258

Text #2

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Data Index: 196880 (C4 (Web Text))

Max Activating Token Index: 845

Text #3

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Max Act: 0.0587. Min Act: -0.0003

Data Index: 1100672 (C4 (Web Text))

Max Activating Token Index: 283

Text #4

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Data Index: 172637 (C4 (Web Text))

Max Activating Token Index: 507

Text #5

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Max Activating Token Index: 466

Text #6

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Text #7

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Text #8

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Text #9

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Max Activating Token Index: 888

Text #10

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Max Activating Token Index: 884

Text #11

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Max Activating Token Index: 283

Text #12

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Max Activating Token Index: 101

Text #13

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Max Activating Token Index: 227

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Text #19

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Data Index: 514043 (C4 (Web Text))

Max Activating Token Index: 751