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

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

Neuron 1588 in Layer 0

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

Text #0

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Max Act: 0.0083. Min Act: -0.0005

Data Index: 1179490 (C4 (Web Text))

Max Activating Token Index: 573

Text #1

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Max Act: 0.0082. Min Act: -0.0005

Data Index: 434748 (C4 (Web Text))

Max Activating Token Index: 514

Text #2

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Max Act: 0.0078. Min Act: -0.0005

Data Index: 512758 (C4 (Web Text))

Max Activating Token Index: 928

Text #3

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Max Act: 0.0078. Min Act: -0.0005

Data Index: 140919 (C4 (Web Text))

Max Activating Token Index: 560

Text #4

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Max Act: 0.0078. Min Act: -0.0006

Data Index: 272808 (C4 (Web Text))

Max Activating Token Index: 126

Text #5

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Max Act: 0.0077. Min Act: -0.0005

Data Index: 836698 (C4 (Web Text))

Max Activating Token Index: 943

Text #6

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Data Index: 43665 (C4 (Web Text))

Max Activating Token Index: 451

Text #7

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Max Activating Token Index: 852

Text #8

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Max Activating Token Index: 397

Text #9

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Max Activating Token Index: 717

Text #10

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Max Activating Token Index: 336

Text #11

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Data Index: 40632 (C4 (Web Text))

Max Activating Token Index: 132

Text #12

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Max Activating Token Index: 685

Text #13

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Data Index: 77840 (C4 (Web Text))

Max Activating Token Index: 127

Text #14

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Data Index: 330206 (C4 (Web Text))

Max Activating Token Index: 65

Text #15

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Max Activating Token Index: 347

Text #16

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Text #17

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Text #18

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Max Activating Token Index: 16

Text #19

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Data Index: 995067 (C4 (Web Text))

Max Activating Token Index: 352