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

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

Neuron 5085 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: 0.0698. Min Act: -0.0001

Data Index: 1144487 (C4 (Web Text))

Max Activating Token Index: 312

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Text #1

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Data Index: 863142 (C4 (Web Text))

Max Activating Token Index: 113

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Text #2

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Max Act: 0.0639. Min Act: -0.0001

Data Index: 1567122 (Python Code)

Max Activating Token Index: 176

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Text #3

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Data Index: 526937 (C4 (Web Text))

Max Activating Token Index: 668

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Text #4

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Data Index: 957843 (C4 (Web Text))

Max Activating Token Index: 90

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Text #5

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Data Index: 110049 (C4 (Web Text))

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Text #6

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Data Index: 502980 (C4 (Web Text))

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Text #7

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Data Index: 350713 (C4 (Web Text))

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Text #8

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Data Index: 933885 (C4 (Web Text))

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Text #9

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Data Index: 509707 (C4 (Web Text))

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Text #10

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Text #11

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Text #12

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Data Index: 178134 (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: 152510 (C4 (Web Text))

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Text #16

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Data Index: 123189 (C4 (Web Text))

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Text #17

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Data Index: 1362994 (Python Code)

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Text #18

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Data Index: 1544971 (Python Code)

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Text #19

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Data Index: 324674 (C4 (Web Text))

Max Activating Token Index: 208

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