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

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

Neuron 4195 in Layer 4

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

Text #0

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Max Act: 0.0815. Min Act: -0.0000

Data Index: 735933 (C4 (Web Text))

Max Activating Token Index: 288

Text #1

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Max Act: 0.0769. Min Act: -0.0000

Data Index: 323879 (C4 (Web Text))

Max Activating Token Index: 368

Text #2

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Max Act: 0.0641. Min Act: -0.0000

Data Index: 205296 (C4 (Web Text))

Max Activating Token Index: 821

Text #3

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Max Act: 0.0647. Min Act: -0.0000

Data Index: 1119736 (C4 (Web Text))

Max Activating Token Index: 265

Text #4

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Data Index: 567573 (C4 (Web Text))

Max Activating Token Index: 311

Text #5

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Data Index: 754126 (C4 (Web Text))

Max Activating Token Index: 401

Text #6

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Max Activating Token Index: 693

Text #7

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Data Index: 124145 (C4 (Web Text))

Max Activating Token Index: 554

Text #8

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Max Activating Token Index: 435

Text #9

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Data Index: 507114 (C4 (Web Text))

Max Activating Token Index: 493

Text #10

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Max Activating Token Index: 1015

Text #11

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Data Index: 214345 (C4 (Web Text))

Max Activating Token Index: 358

Text #12

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Data Index: 34091 (C4 (Web Text))

Max Activating Token Index: 926

Text #13

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Data Index: 837445 (C4 (Web Text))

Max Activating Token Index: 732

Text #14

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Data Index: 113359 (C4 (Web Text))

Max Activating Token Index: 618

Text #15

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Text #16

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Text #17

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Data Index: 482198 (C4 (Web Text))

Max Activating Token Index: 602

Text #18

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Max Activating Token Index: 777

Text #19

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Data Index: 199514 (C4 (Web Text))

Max Activating Token Index: 255