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

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

Neuron 987 in Layer 1

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

Text #0

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Max Act: 0.0401. Min Act: -0.0003

Data Index: 1285830 (C4 (Web Text))

Max Activating Token Index: 780

Text #1

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Data Index: 316191 (C4 (Web Text))

Max Activating Token Index: 417

Text #2

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Max Act: 0.0365. Min Act: -0.0003

Data Index: 89946 (C4 (Web Text))

Max Activating Token Index: 768

Text #3

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Max Act: 0.0348. Min Act: -0.0003

Data Index: 234340 (C4 (Web Text))

Max Activating Token Index: 1005

Text #4

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Data Index: 635306 (C4 (Web Text))

Max Activating Token Index: 859

Text #5

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Max Activating Token Index: 721

Text #6

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Max Activating Token Index: 829

Text #7

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Text #8

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Max Activating Token Index: 258

Text #9

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Max Activating Token Index: 486

Text #10

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Data Index: 697820 (C4 (Web Text))

Max Activating Token Index: 913

Text #11

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Data Index: 861407 (C4 (Web Text))

Max Activating Token Index: 630

Text #12

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Data Index: 179229 (C4 (Web Text))

Max Activating Token Index: 950

Text #13

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Max Activating Token Index: 944

Text #14

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Max Activating Token Index: 882

Text #15

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Text #16

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Max Activating Token Index: 357

Text #17

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Max Activating Token Index: 619

Text #18

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Data Index: 980210 (C4 (Web Text))

Max Activating Token Index: 190

Text #19

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Max Act: 0.0290. Min Act: -0.0003

Data Index: 94343 (C4 (Web Text))

Max Activating Token Index: 202