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

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

Neuron 507 in Layer 1

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

Text #0

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Max Act: 0.0314. Min Act: -0.0002

Data Index: 1136124 (C4 (Web Text))

Max Activating Token Index: 713

Text #1

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Max Act: 0.0262. Min Act: -0.0003

Data Index: 19660 (C4 (Web Text))

Max Activating Token Index: 336

Text #2

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Max Act: 0.0266. Min Act: -0.0003

Data Index: 1265222 (C4 (Web Text))

Max Activating Token Index: 745

Text #3

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Max Act: 0.0251. Min Act: -0.0003

Data Index: 1037568 (C4 (Web Text))

Max Activating Token Index: 896

Text #4

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Data Index: 772897 (C4 (Web Text))

Max Activating Token Index: 812

Text #5

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Data Index: 1138633 (C4 (Web Text))

Max Activating Token Index: 919

Text #6

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Max Activating Token Index: 67

Text #7

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Max Activating Token Index: 745

Text #8

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Max Activating Token Index: 994

Text #9

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Max Activating Token Index: 895

Text #10

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Max Activating Token Index: 875

Text #11

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Max Activating Token Index: 475

Text #12

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Data Index: 660946 (C4 (Web Text))

Max Activating Token Index: 279

Text #13

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Data Index: 260831 (C4 (Web Text))

Max Activating Token Index: 473

Text #14

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Max Activating Token Index: 500

Text #15

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Text #16

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Max Activating Token Index: 672

Text #17

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Max Activating Token Index: 855

Text #18

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Max Activating Token Index: 1023

Text #19

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Data Index: 508617 (C4 (Web Text))

Max Activating Token Index: 304