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

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

Neuron 3379 in Layer 2

Load this data into an Interactive Neuroscope

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

Text #0

Max Range: 0.1102. Min Range: -0.1102

Max Act: 0.1089. Min Act: -0.0002

Data Index: 723335 (C4 (Web Text))

Max Activating Token Index: 804

Text #1

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Max Activating Token Index: 127

Text #2

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Data Index: 1171978 (C4 (Web Text))

Max Activating Token Index: 492

Text #3

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Data Index: 1178097 (C4 (Web Text))

Max Activating Token Index: 397

Text #4

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Data Index: 1216468 (C4 (Web Text))

Max Activating Token Index: 296

Text #5

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Max Activating Token Index: 968

Text #6

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Max Activating Token Index: 587

Text #7

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Max Activating Token Index: 587

Text #8

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Data Index: 127676 (C4 (Web Text))

Max Activating Token Index: 273

Text #9

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Max Activating Token Index: 366

Text #10

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Max Activating Token Index: 727

Text #11

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Max Activating Token Index: 818

Text #12

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Max Activating Token Index: 622

Text #13

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Data Index: 120555 (C4 (Web Text))

Max Activating Token Index: 782

Text #14

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Data Index: 204233 (C4 (Web Text))

Max Activating Token Index: 935

Text #15

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Max Activating Token Index: 760

Text #16

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Max Activating Token Index: 371

Text #17

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Max Activating Token Index: 560

Text #18

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Max Activating Token Index: 829

Text #19

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Data Index: 948832 (C4 (Web Text))

Max Activating Token Index: 20