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

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

Neuron 3633 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: 2.0272. Min Act: -0.0001

Data Index: 1421566 (Python Code)

Max Activating Token Index: 1018

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Text #1

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Max Act: 1.7030. Min Act: -0.0000

Data Index: 821 (C4 (Web Text))

Max Activating Token Index: 562

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Text #2

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Max Act: 1.4521. Min Act: -0.0000

Data Index: 1046698 (C4 (Web Text))

Max Activating Token Index: 607

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Text #3

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Max Act: 1.6539. Min Act: -0.0000

Data Index: 1445083 (Python Code)

Max Activating Token Index: 140

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Text #4

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Max Act: 1.3683. Min Act: -0.0000

Data Index: 1102431 (C4 (Web Text))

Max Activating Token Index: 633

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Text #5

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Max Act: 1.3751. Min Act: -0.0000

Data Index: 417062 (C4 (Web Text))

Max Activating Token Index: 774

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Text #6

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Data Index: 1274766 (C4 (Web Text))

Max Activating Token Index: 69

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Text #7

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Data Index: 824379 (C4 (Web Text))

Max Activating Token Index: 1021

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Text #8

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Data Index: 182900 (C4 (Web Text))

Max Activating Token Index: 633

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Text #9

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Data Index: 160114 (C4 (Web Text))

Max Activating Token Index: 736

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Text #10

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Data Index: 884922 (C4 (Web Text))

Max Activating Token Index: 267

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Text #11

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Data Index: 267151 (C4 (Web Text))

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Text #12

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Data Index: 1278642 (C4 (Web Text))

Max Activating Token Index: 179

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Text #13

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Data Index: 451483 (C4 (Web Text))

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Text #14

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Data Index: 10402 (C4 (Web Text))

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Text #15

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Max Act: 1.3630. Min Act: -0.0000

Data Index: 1331373 (C4 (Web Text))

Max Activating Token Index: 937

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Text #16

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Data Index: 1060948 (C4 (Web Text))

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Text #17

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Data Index: 1383338 (Python Code)

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Text #18

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Max Act: 1.2300. Min Act: -0.0000

Data Index: 119402 (C4 (Web Text))

Max Activating Token Index: 965

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Text #19

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Data Index: 471217 (C4 (Web Text))

Max Activating Token Index: 28

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