Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 486 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0624. Min Act: -0.0002

Data Index: 422646 (C4 (Web Text))

Max Activating Token Index: 115

Text #1

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Data Index: 1058969 (C4 (Web Text))

Max Activating Token Index: 896

Text #2

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Max Act: 0.0553. Min Act: -0.0002

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Max Activating Token Index: 1015

Text #3

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Max Act: 0.0420. Min Act: -0.0002

Data Index: 197249 (C4 (Web Text))

Max Activating Token Index: 233

Text #4

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Data Index: 1310851 (C4 (Web Text))

Max Activating Token Index: 155

Text #5

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Data Index: 340937 (C4 (Web Text))

Max Activating Token Index: 705

Text #6

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Max Activating Token Index: 502

Text #7

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Max Activating Token Index: 274

Text #8

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Max Activating Token Index: 161

Text #9

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Max Activating Token Index: 662

Text #10

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Max Activating Token Index: 90

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Max Activating Token Index: 959

Text #12

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Max Activating Token Index: 428

Text #13

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Data Index: 138698 (C4 (Web Text))

Max Activating Token Index: 950

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 508

Text #18

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Data Index: 859672 (C4 (Web Text))

Max Activating Token Index: 391

Text #19

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Data Index: 153057 (C4 (Web Text))

Max Activating Token Index: 238