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

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

Neuron 2 in Layer 3

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: 0.0586. Min Act: -0.0001

Data Index: 985854 (C4 (Web Text))

Max Activating Token Index: 683

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Truncated

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Text #1

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Max Act: 0.0498. Min Act: -0.0001

Data Index: 692160 (C4 (Web Text))

Max Activating Token Index: 410

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Truncated

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Text #2

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Max Act: 0.0509. Min Act: -0.0001

Data Index: 1222958 (C4 (Web Text))

Max Activating Token Index: 152

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Truncated

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Text #3

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Max Act: 0.0479. Min Act: -0.0001

Data Index: 570188 (C4 (Web Text))

Max Activating Token Index: 815

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Truncated

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Text #4

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Max Act: 0.0442. Min Act: -0.0001

Data Index: 1289212 (C4 (Web Text))

Max Activating Token Index: 622

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Truncated

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Text #5

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Data Index: 648255 (C4 (Web Text))

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Text #6

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Data Index: 345821 (C4 (Web Text))

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Truncated

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Text #7

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Data Index: 10582 (C4 (Web Text))

Max Activating Token Index: 773

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Truncated

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Text #8

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Data Index: 879069 (C4 (Web Text))

Max Activating Token Index: 439

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Text #9

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Data Index: 1070683 (C4 (Web Text))

Max Activating Token Index: 919

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Truncated

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Text #10

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Data Index: 582809 (C4 (Web Text))

Max Activating Token Index: 1020

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Truncated

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Text #11

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Truncated

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Text #12

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Data Index: 649410 (C4 (Web Text))

Max Activating Token Index: 972

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Text #13

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Data Index: 509747 (C4 (Web Text))

Max Activating Token Index: 829

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Truncated

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Text #14

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Text #15

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Data Index: 1014242 (C4 (Web Text))

Max Activating Token Index: 1005

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Text #16

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Data Index: 862837 (C4 (Web Text))

Max Activating Token Index: 834

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Truncated

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Text #17

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Data Index: 1067667 (C4 (Web Text))

Max Activating Token Index: 838

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Text #18

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Max Act: 0.0378. Min Act: -0.0001

Data Index: 1008938 (C4 (Web Text))

Max Activating Token Index: 173

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Text #19

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Data Index: 178232 (C4 (Web Text))

Max Activating Token Index: 112

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