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

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

Neuron 133 in Layer 0

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

Text #0

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Max Act: 0.0099. Min Act: -0.0006

Data Index: 603417 (C4 (Web Text))

Max Activating Token Index: 1023

Text #1

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Data Index: 441195 (C4 (Web Text))

Max Activating Token Index: 721

Text #2

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Data Index: 33930 (C4 (Web Text))

Max Activating Token Index: 325

Text #3

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Max Act: 0.0101. Min Act: -0.0006

Data Index: 746332 (C4 (Web Text))

Max Activating Token Index: 502

Text #4

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Data Index: 1251964 (C4 (Web Text))

Max Activating Token Index: 439

Text #5

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Data Index: 476804 (C4 (Web Text))

Max Activating Token Index: 586

Text #6

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Text #7

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Max Activating Token Index: 411

Text #8

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Text #9

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Text #10

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Text #11

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Text #12

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Text #13

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Max Activating Token Index: 502

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: 1199637 (C4 (Web Text))

Max Activating Token Index: 523