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Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 63 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')



Text #0

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Max Act: 0.0804. Min Act: -0.0002

Data Index: 237592 (C4 (Web Text))

Max Activating Token Index: 890

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Text #1

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Max Act: 0.0686. Min Act: -0.0001

Data Index: 443863 (C4 (Web Text))

Max Activating Token Index: 103

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Truncated

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Text #2

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Max Act: 0.0679. Min Act: -0.0001

Data Index: 945660 (C4 (Web Text))

Max Activating Token Index: 351

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Text #3

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Data Index: 148541 (C4 (Web Text))

Max Activating Token Index: 150

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Truncated

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Text #4

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Data Index: 777333 (C4 (Web Text))

Max Activating Token Index: 739

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Truncated

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Text #5

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Data Index: 130366 (C4 (Web Text))

Max Activating Token Index: 69

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Text #6

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Data Index: 691460 (C4 (Web Text))

Max Activating Token Index: 852

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Truncated

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Text #7

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Data Index: 540698 (C4 (Web Text))

Max Activating Token Index: 464

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Truncated

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Text #8

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Data Index: 1059926 (C4 (Web Text))

Max Activating Token Index: 585

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Text #9

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Data Index: 725677 (C4 (Web Text))

Max Activating Token Index: 611

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Truncated

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Text #10

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Data Index: 125890 (C4 (Web Text))

Max Activating Token Index: 40

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Text #11

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Text #12

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Data Index: 1101549 (C4 (Web Text))

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Text #13

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Data Index: 83310 (C4 (Web Text))

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Text #14

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Data Index: 1332536 (C4 (Web Text))

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Text #15

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Data Index: 877930 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 5210 (C4 (Web Text))

Max Activating Token Index: 321

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Text #18

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Data Index: 1087294 (C4 (Web Text))

Max Activating Token Index: 921

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Text #19

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Data Index: 453442 (C4 (Web Text))

Max Activating Token Index: 510

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