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

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

Neuron 1005 in Layer 1

Load this data into an Interactive Neuroscope

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

Text #0

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Max Act: 0.0400. Min Act: -0.0006

Data Index: 627510 (C4 (Web Text))

Max Activating Token Index: 843

Text #1

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Max Activating Token Index: 331

Text #2

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Max Act: 0.0328. Min Act: -0.0006

Data Index: 320734 (C4 (Web Text))

Max Activating Token Index: 1009

Text #3

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Max Act: 0.0320. Min Act: -0.0006

Data Index: 517407 (C4 (Web Text))

Max Activating Token Index: 29

Text #4

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Max Act: 0.0359. Min Act: -0.0006

Data Index: 1025213 (C4 (Web Text))

Max Activating Token Index: 124

Text #5

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Max Act: 0.0302. Min Act: -0.0006

Data Index: 386739 (C4 (Web Text))

Max Activating Token Index: 81

Text #6

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Max Activating Token Index: 218

Text #7

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Max Activating Token Index: 994

Text #8

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Max Activating Token Index: 395

Text #9

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Max Activating Token Index: 153

Text #10

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Max Activating Token Index: 809

Text #11

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Max Activating Token Index: 718

Text #12

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Max Activating Token Index: 732

Text #13

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Max Activating Token Index: 17

Text #14

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Text #15

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Max Activating Token Index: 141

Text #16

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Max Activating Token Index: 932

Text #17

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Max Activating Token Index: 361

Text #18

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Max Activating Token Index: 152

Text #19

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Data Index: 1269819 (C4 (Web Text))

Max Activating Token Index: 944