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Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 3055 in Layer 3

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')



Text #0

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Max Act: 0.6664. Min Act: -0.0001

Data Index: 1003985 (C4 (Web Text))

Max Activating Token Index: 1000

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Text #1

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Data Index: 443046 (C4 (Web Text))

Max Activating Token Index: 658

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Text #2

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Max Act: 0.6400. Min Act: -0.0001

Data Index: 511384 (C4 (Web Text))

Max Activating Token Index: 241

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Text #3

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Data Index: 883764 (C4 (Web Text))

Max Activating Token Index: 117

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Text #4

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Data Index: 1173530 (C4 (Web Text))

Max Activating Token Index: 777

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Text #5

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Data Index: 373358 (C4 (Web Text))

Max Activating Token Index: 65

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Text #6

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Data Index: 655048 (C4 (Web Text))

Max Activating Token Index: 635

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Text #7

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Data Index: 1257170 (C4 (Web Text))

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Text #8

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Data Index: 1083424 (C4 (Web Text))

Max Activating Token Index: 385

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Text #9

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Data Index: 55842 (C4 (Web Text))

Max Activating Token Index: 963

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Text #10

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Data Index: 1195899 (C4 (Web Text))

Max Activating Token Index: 322

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Text #11

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Text #12

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Data Index: 111857 (C4 (Web Text))

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Text #13

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Text #14

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Text #15

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Data Index: 463301 (C4 (Web Text))

Max Activating Token Index: 549

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Text #16

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Text #17

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Data Index: 518000 (C4 (Web Text))

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Text #18

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Data Index: 685899 (C4 (Web Text))

Max Activating Token Index: 122

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Text #19

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Data Index: 456017 (C4 (Web Text))

Max Activating Token Index: 360

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