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

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

Neuron 5088 in Layer 4

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: 3.5986. Min Act: -0.0000

Data Index: 101181 (C4 (Web Text))

Max Activating Token Index: 83

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Text #1

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Data Index: 462199 (C4 (Web Text))

Max Activating Token Index: 221

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Text #2

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Max Act: 2.5100. Min Act: -0.0001

Data Index: 690753 (C4 (Web Text))

Max Activating Token Index: 78

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Text #3

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Max Act: 2.4156. Min Act: -0.0001

Data Index: 1176556 (C4 (Web Text))

Max Activating Token Index: 887

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Text #4

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Max Act: 1.9754. Min Act: -0.0001

Data Index: 437666 (C4 (Web Text))

Max Activating Token Index: 218

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Text #5

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Data Index: 894508 (C4 (Web Text))

Max Activating Token Index: 37

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Text #6

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Data Index: 108465 (C4 (Web Text))

Max Activating Token Index: 14

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Text #7

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Data Index: 321831 (C4 (Web Text))

Max Activating Token Index: 201

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Text #8

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Data Index: 409775 (C4 (Web Text))

Max Activating Token Index: 617

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Text #9

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Data Index: 219301 (C4 (Web Text))

Max Activating Token Index: 911

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Text #10

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Data Index: 1117183 (C4 (Web Text))

Max Activating Token Index: 628

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Text #11

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Text #12

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Text #13

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Data Index: 326413 (C4 (Web Text))

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Text #14

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Data Index: 1124436 (C4 (Web Text))

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Text #15

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Data Index: 981335 (C4 (Web Text))

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Text #16

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Text #17

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Text #18

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Data Index: 124628 (C4 (Web Text))

Max Activating Token Index: 994

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Text #19

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Data Index: 1110454 (C4 (Web Text))

Max Activating Token Index: 363

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