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

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

Neuron 941 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: -0.0004

Data Index: 1541154 (Python Code)

Max Activating Token Index: 715

Text #1

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Max Act: 0.0077. Min Act: -0.0005

Data Index: 1617470 (Python Code)

Max Activating Token Index: 518

Text #2

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Max Act: 0.0077. Min Act: -0.0005

Data Index: 1234071 (C4 (Web Text))

Max Activating Token Index: 250

Text #3

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Max Act: 0.0076. Min Act: -0.0005

Data Index: 1147842 (C4 (Web Text))

Max Activating Token Index: 711

Text #4

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Max Act: 0.0074. Min Act: -0.0005

Data Index: 1530873 (Python Code)

Max Activating Token Index: 360

Text #5

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Max Act: 0.0074. Min Act: -0.0005

Data Index: 468152 (C4 (Web Text))

Max Activating Token Index: 17

Text #6

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Max Activating Token Index: 876

Text #7

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Max Activating Token Index: 366

Text #8

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Data Index: 1378544 (Python Code)

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Text #9

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Data Index: 1647932 (Python Code)

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Text #10

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Data Index: 218170 (C4 (Web Text))

Max Activating Token Index: 455

Text #11

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Text #12

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Max Activating Token Index: 323

Text #13

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Data Index: 432035 (C4 (Web Text))

Max Activating Token Index: 186

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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Max Activating Token Index: 781

Text #19

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Max Act: 0.0066. Min Act: -0.0005

Data Index: 468001 (C4 (Web Text))

Max Activating Token Index: 114