Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 54 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0081. Min Act: -0.0006

Data Index: 1196184 (C4 (Web Text))

Max Activating Token Index: 361

Text #1

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Data Index: 881747 (C4 (Web Text))

Max Activating Token Index: 836

Text #2

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Max Act: 0.0078. Min Act: -0.0006

Data Index: 307302 (C4 (Web Text))

Max Activating Token Index: 164

Text #3

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Max Act: 0.0077. Min Act: -0.0006

Data Index: 1094541 (C4 (Web Text))

Max Activating Token Index: 136

Text #4

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Max Act: 0.0077. Min Act: -0.0006

Data Index: 814292 (C4 (Web Text))

Max Activating Token Index: 365

Text #5

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Max Activating Token Index: 64

Text #6

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Text #7

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Text #8

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Text #9

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Max Activating Token Index: 662

Text #10

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Max Activating Token Index: 933

Text #11

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Max Activating Token Index: 52

Text #12

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Max Activating Token Index: 468

Text #13

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Data Index: 1635803 (Python Code)

Max Activating Token Index: 235

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Text #19

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Data Index: 339962 (C4 (Web Text))

Max Activating Token Index: 607