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

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

Neuron 1421 in Layer 2

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: 0.0145. Min Act: -0.0002

Data Index: 1261182 (C4 (Web Text))

Max Activating Token Index: 181

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Text #1

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Data Index: 483760 (C4 (Web Text))

Max Activating Token Index: 572

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Text #2

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Max Act: 0.0151. Min Act: -0.0002

Data Index: 396021 (C4 (Web Text))

Max Activating Token Index: 3

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Text #3

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Max Act: 0.0151. Min Act: -0.0002

Data Index: 1176434 (C4 (Web Text))

Max Activating Token Index: 3

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Text #4

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Data Index: 1341198 (C4 (Web Text))

Max Activating Token Index: 3

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Text #5

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Data Index: 1195068 (C4 (Web Text))

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Text #6

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Data Index: 1253617 (C4 (Web Text))

Max Activating Token Index: 838

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Text #7

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Text #8

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Data Index: 883915 (C4 (Web Text))

Max Activating Token Index: 188

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Text #9

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Data Index: 1208819 (C4 (Web Text))

Max Activating Token Index: 65

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Text #10

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Text #11

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Data Index: 865224 (C4 (Web Text))

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Text #12

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Data Index: 693088 (C4 (Web Text))

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Text #13

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Max Activating Token Index: 683

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Text #14

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Data Index: 1527752 (Python Code)

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Text #15

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Data Index: 1450709 (Python Code)

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Text #16

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Text #17

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Data Index: 1217904 (C4 (Web Text))

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Text #18

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Data Index: 689896 (C4 (Web Text))

Max Activating Token Index: 19

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Text #19

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Data Index: 1239279 (C4 (Web Text))

Max Activating Token Index: 518

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