Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1990 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0608. Min Act: -0.0003

Data Index: 759144 (C4 (Web Text))

Max Activating Token Index: 80

Text #1

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Data Index: 247335 (C4 (Web Text))

Max Activating Token Index: 1008

Text #2

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Max Act: 0.0516. Min Act: -0.0003

Data Index: 505854 (C4 (Web Text))

Max Activating Token Index: 98

Text #3

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Max Act: 0.0529. Min Act: -0.0003

Data Index: 205506 (C4 (Web Text))

Max Activating Token Index: 289

Text #4

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Max Activating Token Index: 773

Text #5

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Max Act: 0.0507. Min Act: -0.0003

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Max Activating Token Index: 900

Text #6

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Max Activating Token Index: 130

Text #7

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Max Activating Token Index: 555

Text #8

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Max Activating Token Index: 873

Text #9

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Max Activating Token Index: 950

Text #10

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Max Activating Token Index: 742

Text #11

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Max Activating Token Index: 837

Text #12

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Max Activating Token Index: 990

Text #13

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Data Index: 61673 (C4 (Web Text))

Max Activating Token Index: 222

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: 791

Text #18

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Max Activating Token Index: 371

Text #19

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Data Index: 653020 (C4 (Web Text))

Max Activating Token Index: 129