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

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

Neuron 1979 in Layer 0

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

Text #0

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Max Act: 0.0183. Min Act: -0.0004

Data Index: 1100277 (C4 (Web Text))

Max Activating Token Index: 630

Text #1

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Max Act: 0.0175. Min Act: -0.0004

Data Index: 70170 (C4 (Web Text))

Max Activating Token Index: 222

Text #2

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Max Act: 0.0164. Min Act: -0.0004

Data Index: 567908 (C4 (Web Text))

Max Activating Token Index: 401

Text #3

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Max Act: 0.0154. Min Act: -0.0004

Data Index: 414314 (C4 (Web Text))

Max Activating Token Index: 206

Text #4

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Data Index: 1063215 (C4 (Web Text))

Max Activating Token Index: 1001

Text #5

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Data Index: 1066184 (C4 (Web Text))

Max Activating Token Index: 604

Text #6

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Max Activating Token Index: 136

Text #7

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Max Activating Token Index: 698

Text #8

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Data Index: 848703 (C4 (Web Text))

Max Activating Token Index: 188

Text #9

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Max Activating Token Index: 53

Text #10

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Max Activating Token Index: 655

Text #11

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Data Index: 1303322 (C4 (Web Text))

Max Activating Token Index: 224

Text #12

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Max Activating Token Index: 601

Text #13

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Data Index: 262293 (C4 (Web Text))

Max Activating Token Index: 161

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 312

Text #18

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Data Index: 245358 (C4 (Web Text))

Max Activating Token Index: 269

Text #19

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Max Act: 0.0129. Min Act: -0.0004

Data Index: 1335518 (C4 (Web Text))

Max Activating Token Index: 708