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Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 1219 in Layer 4

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')



Text #0

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Max Act: 1.0403. Min Act: -0.0000

Data Index: 1596077 (Python Code)

Max Activating Token Index: 876

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Text #1

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Data Index: 1540136 (Python Code)

Max Activating Token Index: 448

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Text #2

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Max Act: 0.9095. Min Act: -0.0001

Data Index: 1635431 (Python Code)

Max Activating Token Index: 310

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Text #3

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Data Index: 1397241 (Python Code)

Max Activating Token Index: 907

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Text #4

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Data Index: 1603589 (Python Code)

Max Activating Token Index: 350

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Text #5

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Data Index: 109958 (C4 (Web Text))

Max Activating Token Index: 918

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Text #6

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Data Index: 1620405 (Python Code)

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Text #7

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Data Index: 654953 (C4 (Web Text))

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Text #8

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Data Index: 1533710 (Python Code)

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Text #9

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Data Index: 1094003 (C4 (Web Text))

Max Activating Token Index: 149

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Text #10

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Data Index: 1541986 (Python Code)

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Text #11

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Text #14

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Data Index: 1506201 (Python Code)

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Text #15

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Text #16

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Data Index: 1633011 (Python Code)

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Text #17

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Data Index: 1372663 (Python Code)

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Text #18

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Data Index: 959396 (C4 (Web Text))

Max Activating Token Index: 83

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Text #19

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Data Index: 1621788 (Python Code)

Max Activating Token Index: 452

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