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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 1030 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 0.0642. Min Act: -0.0001

Data Index: 715696 (C4 (Web Text))

Max Activating Token Index: 210

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Text #1

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Max Act: 0.0602. Min Act: -0.0001

Data Index: 734792 (C4 (Web Text))

Max Activating Token Index: 207

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Truncated

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Text #2

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Max Act: 0.0563. Min Act: -0.0001

Data Index: 489384 (C4 (Web Text))

Max Activating Token Index: 22

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Text #3

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Max Act: 0.0518. Min Act: -0.0001

Data Index: 1583627 (Python Code)

Max Activating Token Index: 25

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Truncated

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Text #4

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Max Act: 0.0515. Min Act: -0.0002

Data Index: 402013 (C4 (Web Text))

Max Activating Token Index: 143

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Text #5

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Data Index: 1233965 (C4 (Web Text))

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Text #6

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Data Index: 1011772 (C4 (Web Text))

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Text #7

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Data Index: 778245 (C4 (Web Text))

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Text #8

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Data Index: 717794 (C4 (Web Text))

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Text #9

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Data Index: 336964 (C4 (Web Text))

Max Activating Token Index: 155

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Text #10

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Text #11

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Text #12

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Data Index: 469693 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 1491860 (Python Code)

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Text #15

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Data Index: 1132155 (C4 (Web Text))

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Text #16

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Text #17

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Max Act: 0.0455. Min Act: -0.0001

Data Index: 238367 (C4 (Web Text))

Max Activating Token Index: 113

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Text #18

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Data Index: 182543 (C4 (Web Text))

Max Activating Token Index: 109

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Truncated

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Text #19

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Data Index: 67722 (C4 (Web Text))

Max Activating Token Index: 153

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