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

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

Neuron 4996 in Layer 1

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

Text #0

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Max Act: 0.0261. Min Act: -0.0003

Data Index: 1120339 (C4 (Web Text))

Max Activating Token Index: 777

Text #1

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Data Index: 1185478 (C4 (Web Text))

Max Activating Token Index: 556

Text #2

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Data Index: 1306708 (C4 (Web Text))

Max Activating Token Index: 592

Text #3

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Max Act: 0.0239. Min Act: -0.0003

Data Index: 181948 (C4 (Web Text))

Max Activating Token Index: 759

Text #4

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Data Index: 803139 (C4 (Web Text))

Max Activating Token Index: 550

Text #5

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Data Index: 451245 (C4 (Web Text))

Max Activating Token Index: 436

Text #6

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Data Index: 1088655 (C4 (Web Text))

Max Activating Token Index: 173

Text #7

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Text #8

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Max Activating Token Index: 67

Text #9

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Data Index: 571431 (C4 (Web Text))

Max Activating Token Index: 625

Text #10

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Data Index: 447185 (C4 (Web Text))

Max Activating Token Index: 258

Text #11

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Data Index: 1091014 (C4 (Web Text))

Max Activating Token Index: 338

Text #12

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Max Activating Token Index: 287

Text #13

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Data Index: 569306 (C4 (Web Text))

Max Activating Token Index: 871

Text #14

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Data Index: 125872 (C4 (Web Text))

Max Activating Token Index: 641

Text #15

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Max Activating Token Index: 883

Text #16

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Max Activating Token Index: 871

Text #17

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Max Activating Token Index: 761

Text #18

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Data Index: 1329027 (C4 (Web Text))

Max Activating Token Index: 355

Text #19

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Data Index: 553375 (C4 (Web Text))

Max Activating Token Index: 632