Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1157 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0820. Min Act: -0.0003

Data Index: 869137 (C4 (Web Text))

Max Activating Token Index: 350

Text #1

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Data Index: 1306271 (C4 (Web Text))

Max Activating Token Index: 761

Text #2

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Max Act: 0.0784. Min Act: -0.0003

Data Index: 15509 (C4 (Web Text))

Max Activating Token Index: 231

Text #3

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Max Act: 0.0767. Min Act: -0.0003

Data Index: 1193070 (C4 (Web Text))

Max Activating Token Index: 707

Text #4

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Max Act: 0.0693. Min Act: -0.0003

Data Index: 1983 (C4 (Web Text))

Max Activating Token Index: 173

Text #5

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Data Index: 499002 (C4 (Web Text))

Max Activating Token Index: 562

Text #6

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Max Activating Token Index: 670

Text #7

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Max Activating Token Index: 760

Text #8

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Max Activating Token Index: 380

Text #9

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Max Activating Token Index: 23

Text #10

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Max Activating Token Index: 642

Text #11

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Max Activating Token Index: 131

Text #12

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Max Activating Token Index: 838

Text #13

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Data Index: 1018239 (C4 (Web Text))

Max Activating Token Index: 101

Text #14

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Text #15

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Text #16

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Text #17

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Data Index: 13294 (C4 (Web Text))

Max Activating Token Index: 181

Text #18

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Data Index: 650233 (C4 (Web Text))

Max Activating Token Index: 420

Text #19

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Data Index: 302227 (C4 (Web Text))

Max Activating Token Index: 245