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

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

Neuron 4090 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: 0.1279. Min Act: -0.0001

Data Index: 328673 (C4 (Web Text))

Max Activating Token Index: 739

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Text #1

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Data Index: 719406 (C4 (Web Text))

Max Activating Token Index: 331

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Text #2

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Data Index: 437299 (C4 (Web Text))

Max Activating Token Index: 419

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Text #3

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Data Index: 340653 (C4 (Web Text))

Max Activating Token Index: 386

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Text #4

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Data Index: 526880 (C4 (Web Text))

Max Activating Token Index: 471

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Text #5

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Data Index: 140940 (C4 (Web Text))

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Text #6

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Text #7

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Text #8

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Text #9

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Data Index: 1120744 (C4 (Web Text))

Max Activating Token Index: 880

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Text #10

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Text #11

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Text #12

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Text #13

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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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Text #18

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Data Index: 1351582 (C4 (Web Text))

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Text #19

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Data Index: 45873 (C4 (Web Text))

Max Activating Token Index: 941

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