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

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

Neuron 3008 in Layer 7

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: 5.1371. Min Act: -0.0000

Data Index: 76895 (C4 (Web Text))

Max Activating Token Index: 815

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Text #1

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Max Act: 4.2269. Min Act: -0.0000

Data Index: 663610 (C4 (Web Text))

Max Activating Token Index: 954

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Text #2

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Max Act: 3.9031. Min Act: -0.0000

Data Index: 615328 (C4 (Web Text))

Max Activating Token Index: 168

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Text #3

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Data Index: 1125163 (C4 (Web Text))

Max Activating Token Index: 172

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Text #4

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Data Index: 988914 (C4 (Web Text))

Max Activating Token Index: 910

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Text #5

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Data Index: 786237 (C4 (Web Text))

Max Activating Token Index: 452

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Text #6

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Data Index: 412912 (C4 (Web Text))

Max Activating Token Index: 990

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Text #7

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Data Index: 1017291 (C4 (Web Text))

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Text #8

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Data Index: 893336 (C4 (Web Text))

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Text #9

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Data Index: 899158 (C4 (Web Text))

Max Activating Token Index: 121

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Text #10

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Max Activating Token Index: 557

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Text #11

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Data Index: 50230 (C4 (Web Text))

Max Activating Token Index: 643

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Text #12

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Data Index: 1408169 (Python Code)

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Text #13

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Data Index: 345334 (C4 (Web Text))

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Text #14

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Data Index: 973915 (C4 (Web Text))

Max Activating Token Index: 834

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Text #15

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Text #16

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Data Index: 1140632 (C4 (Web Text))

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Text #17

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Data Index: 1082014 (C4 (Web Text))

Max Activating Token Index: 1002

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Text #18

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Data Index: 1369237 (Python Code)

Max Activating Token Index: 133

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Text #19

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Data Index: 1600376 (Python Code)

Max Activating Token Index: 798

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