Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 5376 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')

Text #0

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Data Index: 471615 (C4 (Web Text))

Max Activating Token Index: 106

Text #1

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Max Activating Token Index: 315

Text #2

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Max Activating Token Index: 688

Text #3

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Max Act: 0.0581. Min Act: -0.0002

Data Index: 1137101 (C4 (Web Text))

Max Activating Token Index: 175

Text #4

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Max Act: 0.0547. Min Act: -0.0002

Data Index: 252654 (C4 (Web Text))

Max Activating Token Index: 390

Text #5

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Max Activating Token Index: 907

Text #6

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Max Activating Token Index: 891

Text #7

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Text #8

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Max Activating Token Index: 261

Text #9

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Max Activating Token Index: 586

Text #10

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Data Index: 648249 (C4 (Web Text))

Max Activating Token Index: 344

Text #11

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Max Activating Token Index: 227

Text #12

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Max Activating Token Index: 465

Text #13

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Max Activating Token Index: 953

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: 1154018 (C4 (Web Text))

Max Activating Token Index: 235