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

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

Neuron 1018 in Layer 0

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

Text #0

Max Range: 0.0318. Min Range: -0.0318

Max Act: 0.0318. Min Act: -0.0005

Data Index: 205598 (C4 (Web Text))

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0315. Min Act: -0.0005

Data Index: 456301 (C4 (Web Text))

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0298. Min Act: -0.0004

Data Index: 440521 (C4 (Web Text))

Max Activating Token Index: 1023

Text #3

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Data Index: 949848 (C4 (Web Text))

Max Activating Token Index: 1023

Text #4

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Max Act: 0.0295. Min Act: -0.0004

Data Index: 185128 (C4 (Web Text))

Max Activating Token Index: 1023

Text #5

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Max Act: 0.0285. Min Act: -0.0004

Data Index: 37272 (C4 (Web Text))

Max Activating Token Index: 1023

Text #6

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Data Index: 694920 (C4 (Web Text))

Max Activating Token Index: 1023

Text #7

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Max Activating Token Index: 1023

Text #8

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Max Activating Token Index: 1023

Text #9

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Max Activating Token Index: 1023

Text #10

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Data Index: 147678 (C4 (Web Text))

Max Activating Token Index: 1023

Text #11

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Data Index: 446527 (C4 (Web Text))

Max Activating Token Index: 1023

Text #12

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Data Index: 457229 (C4 (Web Text))

Max Activating Token Index: 1023

Text #13

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Data Index: 147723 (C4 (Web Text))

Max Activating Token Index: 1023

Text #14

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Max Activating Token Index: 1023

Text #15

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Max Activating Token Index: 1023

Text #16

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Max Activating Token Index: 1023

Text #17

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Data Index: 403199 (C4 (Web Text))

Max Activating Token Index: 1023

Text #18

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Max Activating Token Index: 1023

Text #19

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Data Index: 436962 (C4 (Web Text))

Max Activating Token Index: 1023