Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 2098 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0308. Min Act: -0.0001

Data Index: 617562 (C4 (Web Text))

Max Activating Token Index: 500

Text #1

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Max Act: 0.0313. Min Act: -0.0002

Data Index: 749380 (C4 (Web Text))

Max Activating Token Index: 35

Text #2

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Max Act: 0.0290. Min Act: -0.0002

Data Index: 273533 (C4 (Web Text))

Max Activating Token Index: 938

Text #3

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Max Act: 0.0285. Min Act: -0.0001

Data Index: 369828 (C4 (Web Text))

Max Activating Token Index: 495

Text #4

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Max Act: 0.0251. Min Act: -0.0002

Data Index: 1261279 (C4 (Web Text))

Max Activating Token Index: 676

Text #5

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Max Act: 0.0283. Min Act: -0.0001

Data Index: 1208001 (C4 (Web Text))

Max Activating Token Index: 546

Text #6

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Max Activating Token Index: 885

Text #7

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Max Activating Token Index: 659

Text #8

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Data Index: 204322 (C4 (Web Text))

Max Activating Token Index: 699

Text #9

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Data Index: 947315 (C4 (Web Text))

Max Activating Token Index: 941

Text #10

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Data Index: 779646 (C4 (Web Text))

Max Activating Token Index: 601

Text #11

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Data Index: 546470 (C4 (Web Text))

Max Activating Token Index: 483

Text #12

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Max Activating Token Index: 670

Text #13

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Data Index: 12343 (C4 (Web Text))

Max Activating Token Index: 636

Text #14

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Data Index: 696639 (C4 (Web Text))

Max Activating Token Index: 402

Text #15

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Text #16

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Max Activating Token Index: 972

Text #17

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Data Index: 568408 (C4 (Web Text))

Max Activating Token Index: 582

Text #18

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Data Index: 1440224 (Python Code)

Max Activating Token Index: 969

Text #19

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Max Act: 0.0265. Min Act: -0.0002

Data Index: 764948 (C4 (Web Text))

Max Activating Token Index: 399