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

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

Neuron 1292 in Layer 5

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: 3.1786. Min Act: -0.0000

Data Index: 489041 (C4 (Web Text))

Max Activating Token Index: 586

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Text #1

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Max Act: 2.9921. Min Act: -0.0000

Data Index: 177677 (C4 (Web Text))

Max Activating Token Index: 854

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Text #2

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Max Act: 2.9197. Min Act: -0.0000

Data Index: 298328 (C4 (Web Text))

Max Activating Token Index: 519

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Text #3

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Max Act: 3.0518. Min Act: -0.0000

Data Index: 673145 (C4 (Web Text))

Max Activating Token Index: 782

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Text #4

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Data Index: 962563 (C4 (Web Text))

Max Activating Token Index: 764

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Text #5

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Data Index: 334088 (C4 (Web Text))

Max Activating Token Index: 503

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Text #6

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Data Index: 515224 (C4 (Web Text))

Max Activating Token Index: 751

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Text #7

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Data Index: 1068318 (C4 (Web Text))

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Text #8

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Data Index: 243264 (C4 (Web Text))

Max Activating Token Index: 711

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Text #9

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Data Index: 44570 (C4 (Web Text))

Max Activating Token Index: 466

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Text #10

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Data Index: 1165485 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 882557 (C4 (Web Text))

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Text #13

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Data Index: 698606 (C4 (Web Text))

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Text #14

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Text #15

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Data Index: 1243886 (C4 (Web Text))

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Text #16

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Data Index: 58675 (C4 (Web Text))

Max Activating Token Index: 562

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Text #17

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Data Index: 1382999 (Python Code)

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Text #18

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Data Index: 1141373 (C4 (Web Text))

Max Activating Token Index: 243

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Text #19

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Data Index: 1404789 (Python Code)

Max Activating Token Index: 208

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