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

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

Neuron 226 in Layer 6

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: 2.0289. Min Act: -0.0000

Data Index: 1033052 (C4 (Web Text))

Max Activating Token Index: 579

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Text #1

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Data Index: 966303 (C4 (Web Text))

Max Activating Token Index: 130

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Text #2

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Data Index: 135532 (C4 (Web Text))

Max Activating Token Index: 578

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Text #3

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Max Act: 1.6284. Min Act: -0.0000

Data Index: 331731 (C4 (Web Text))

Max Activating Token Index: 710

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Text #4

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Data Index: 361195 (C4 (Web Text))

Max Activating Token Index: 621

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Text #5

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Data Index: 213764 (C4 (Web Text))

Max Activating Token Index: 896

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Text #6

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Data Index: 609809 (C4 (Web Text))

Max Activating Token Index: 275

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Text #7

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Data Index: 1261871 (C4 (Web Text))

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Text #8

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Data Index: 313809 (C4 (Web Text))

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Text #9

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Data Index: 979654 (C4 (Web Text))

Max Activating Token Index: 937

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Text #10

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Data Index: 724331 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 863161 (C4 (Web Text))

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Text #13

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Data Index: 79894 (C4 (Web Text))

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Text #14

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Text #15

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Text #16

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Text #17

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Data Index: 1373438 (Python Code)

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Text #18

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Data Index: 714532 (C4 (Web Text))

Max Activating Token Index: 27

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Text #19

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Data Index: 590501 (C4 (Web Text))

Max Activating Token Index: 838

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