Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 80 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0114. Min Act: -0.0005

Data Index: 473286 (C4 (Web Text))

Max Activating Token Index: 179

Text #1

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Max Act: 0.0104. Min Act: -0.0005

Data Index: 840745 (C4 (Web Text))

Max Activating Token Index: 137

Text #2

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Max Act: 0.0096. Min Act: -0.0005

Data Index: 694181 (C4 (Web Text))

Max Activating Token Index: 613

Text #3

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Max Act: 0.0093. Min Act: -0.0006

Data Index: 1241957 (C4 (Web Text))

Max Activating Token Index: 717

Text #4

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Max Act: 0.0092. Min Act: -0.0005

Data Index: 18903 (C4 (Web Text))

Max Activating Token Index: 705

Text #5

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Max Act: 0.0093. Min Act: -0.0005

Data Index: 559307 (C4 (Web Text))

Max Activating Token Index: 225

Text #6

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Data Index: 49332 (C4 (Web Text))

Max Activating Token Index: 636

Text #7

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Max Activating Token Index: 197

Text #8

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Max Activating Token Index: 520

Text #9

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Data Index: 278181 (C4 (Web Text))

Max Activating Token Index: 921

Text #10

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Max Activating Token Index: 650

Text #11

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Max Activating Token Index: 1023

Text #12

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Max Activating Token Index: 272

Text #13

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Max Activating Token Index: 482

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: 490

Text #18

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Text #19

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Data Index: 584056 (C4 (Web Text))

Max Activating Token Index: 428