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

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

Neuron 2209 in Layer 1

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

Text #0

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Max Act: 0.0956. Min Act: -0.0002

Data Index: 489487 (C4 (Web Text))

Max Activating Token Index: 193

Text #1

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Max Act: 0.0955. Min Act: -0.0003

Data Index: 830408 (C4 (Web Text))

Max Activating Token Index: 482

Text #2

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Max Act: 0.0960. Min Act: -0.0003

Data Index: 1118835 (C4 (Web Text))

Max Activating Token Index: 724

Text #3

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Max Act: 0.0879. Min Act: -0.0002

Data Index: 655852 (C4 (Web Text))

Max Activating Token Index: 364

Text #4

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Max Act: 0.0739. Min Act: -0.0003

Data Index: 1013948 (C4 (Web Text))

Max Activating Token Index: 189

Text #5

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Max Act: 0.0778. Min Act: -0.0003

Data Index: 57218 (C4 (Web Text))

Max Activating Token Index: 220

Text #6

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Data Index: 814183 (C4 (Web Text))

Max Activating Token Index: 408

Text #7

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Data Index: 1141101 (C4 (Web Text))

Max Activating Token Index: 901

Text #8

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Max Activating Token Index: 649

Text #9

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Max Activating Token Index: 469

Text #10

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Data Index: 91381 (C4 (Web Text))

Max Activating Token Index: 134

Text #11

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Data Index: 406063 (C4 (Web Text))

Max Activating Token Index: 53

Text #12

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Data Index: 21105 (C4 (Web Text))

Max Activating Token Index: 318

Text #13

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Data Index: 1153174 (C4 (Web Text))

Max Activating Token Index: 785

Text #14

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Max Activating Token Index: 912

Text #15

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Max Activating Token Index: 467

Text #16

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Max Activating Token Index: 714

Text #17

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Max Activating Token Index: 555

Text #18

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Data Index: 986433 (C4 (Web Text))

Max Activating Token Index: 373

Text #19

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Data Index: 645689 (C4 (Web Text))

Max Activating Token Index: 42