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

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

Neuron 2239 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: 0.0776. Min Act: -0.0001

Data Index: 881635 (C4 (Web Text))

Max Activating Token Index: 953

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Text #1

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Data Index: 196006 (C4 (Web Text))

Max Activating Token Index: 824

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Text #2

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Max Act: 0.0650. Min Act: -0.0001

Data Index: 1183438 (C4 (Web Text))

Max Activating Token Index: 170

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Text #3

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Data Index: 263316 (C4 (Web Text))

Max Activating Token Index: 264

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Truncated

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Text #4

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Data Index: 354521 (C4 (Web Text))

Max Activating Token Index: 937

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Text #5

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Data Index: 570009 (C4 (Web Text))

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Text #6

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Data Index: 1192344 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 500434 (C4 (Web Text))

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Text #9

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Data Index: 953779 (C4 (Web Text))

Max Activating Token Index: 327

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Text #10

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Text #11

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Text #12

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Data Index: 624770 (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: 238961 (C4 (Web Text))

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Text #16

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Data Index: 1335608 (C4 (Web Text))

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Text #17

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Data Index: 1178897 (C4 (Web Text))

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Text #18

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Data Index: 1596008 (Python Code)

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Text #19

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Data Index: 1656297 (Python Code)

Max Activating Token Index: 789

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