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

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

Neuron 3804 in Layer 6

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: 3.5924. Min Act: -0.0000

Data Index: 438254 (C4 (Web Text))

Max Activating Token Index: 946

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Text #1

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Data Index: 249289 (C4 (Web Text))

Max Activating Token Index: 545

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Text #2

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Max Act: 3.8256. Min Act: -0.0000

Data Index: 1591535 (Python Code)

Max Activating Token Index: 992

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Text #3

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Max Act: 3.4806. Min Act: -0.0000

Data Index: 1234609 (C4 (Web Text))

Max Activating Token Index: 159

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Text #4

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Max Act: 3.6109. Min Act: -0.0000

Data Index: 1357624 (C4 (Web Text))

Max Activating Token Index: 199

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Text #5

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Data Index: 1355617 (C4 (Web Text))

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Text #6

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Data Index: 1999 (C4 (Web Text))

Max Activating Token Index: 968

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Text #7

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Data Index: 495480 (C4 (Web Text))

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Text #8

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Data Index: 171682 (C4 (Web Text))

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Text #9

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Data Index: 1262020 (C4 (Web Text))

Max Activating Token Index: 899

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Text #10

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Data Index: 9296 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 654760 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 805169 (C4 (Web Text))

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Text #15

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Data Index: 550189 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 593380 (C4 (Web Text))

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Text #18

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Data Index: 795100 (C4 (Web Text))

Max Activating Token Index: 494

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Text #19

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Data Index: 955916 (C4 (Web Text))

Max Activating Token Index: 630

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