Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 2778 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0078. Min Act: -0.0004

Data Index: 690422 (C4 (Web Text))

Max Activating Token Index: 90

Text #1

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Max Act: 0.0068. Min Act: -0.0004

Data Index: 788480 (C4 (Web Text))

Max Activating Token Index: 281

Text #2

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Max Act: 0.0071. Min Act: -0.0004

Data Index: 638011 (C4 (Web Text))

Max Activating Token Index: 433

Text #3

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Max Act: 0.0070. Min Act: -0.0004

Data Index: 846444 (C4 (Web Text))

Max Activating Token Index: 483

Text #4

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Max Act: 0.0066. Min Act: -0.0004

Data Index: 274045 (C4 (Web Text))

Max Activating Token Index: 930

Text #5

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Data Index: 858891 (C4 (Web Text))

Max Activating Token Index: 134

Text #6

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Data Index: 1011234 (C4 (Web Text))

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Text #7

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Max Activating Token Index: 846

Text #8

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Max Activating Token Index: 424

Text #9

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Data Index: 487125 (C4 (Web Text))

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Text #10

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Max Activating Token Index: 378

Text #11

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Max Activating Token Index: 963

Text #12

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Max Activating Token Index: 811

Text #13

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Max Activating Token Index: 821

Text #14

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Max Activating Token Index: 622

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 209

Text #18

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Max Act: 0.0059. Min Act: -0.0004

Data Index: 765790 (C4 (Web Text))

Max Activating Token Index: 161

Text #19

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Data Index: 1602709 (Python Code)

Max Activating Token Index: 519