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

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

Neuron 4061 in Layer 4

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: 0.9469. Min Act: -0.0001

Data Index: 515291 (C4 (Web Text))

Max Activating Token Index: 543

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Text #1

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Data Index: 708049 (C4 (Web Text))

Max Activating Token Index: 340

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Text #2

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Data Index: 255723 (C4 (Web Text))

Max Activating Token Index: 916

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Text #3

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Data Index: 1334367 (C4 (Web Text))

Max Activating Token Index: 431

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Truncated

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Text #4

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Data Index: 706771 (C4 (Web Text))

Max Activating Token Index: 572

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Truncated

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Text #5

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Data Index: 209268 (C4 (Web Text))

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Text #6

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Data Index: 1180258 (C4 (Web Text))

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Truncated

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Text #7

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Truncated

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Text #8

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Data Index: 1120446 (C4 (Web Text))

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Text #9

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Data Index: 985623 (C4 (Web Text))

Max Activating Token Index: 379

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Text #10

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Data Index: 459283 (C4 (Web Text))

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Truncated

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Text #11

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Text #12

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Data Index: 112347 (C4 (Web Text))

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Text #13

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Truncated

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Text #14

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Text #15

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Data Index: 1289548 (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: 748329 (C4 (Web Text))

Max Activating Token Index: 710

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Text #19

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Data Index: 909815 (C4 (Web Text))

Max Activating Token Index: 927

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