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

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

Neuron 3 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: 0.7586. Min Act: -0.0001

Data Index: 756749 (C4 (Web Text))

Max Activating Token Index: 973

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Text #1

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Data Index: 233600 (C4 (Web Text))

Max Activating Token Index: 166

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Text #2

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Data Index: 1215770 (C4 (Web Text))

Max Activating Token Index: 659

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Text #3

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Data Index: 404407 (C4 (Web Text))

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Text #4

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Data Index: 1138028 (C4 (Web Text))

Max Activating Token Index: 1021

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Text #5

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Data Index: 1086178 (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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Data Index: 1081887 (C4 (Web Text))

Max Activating Token Index: 811

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Text #9

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Data Index: 838346 (C4 (Web Text))

Max Activating Token Index: 785

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Text #10

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Text #11

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Text #12

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Max Activating Token Index: 198

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Text #13

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Data Index: 371601 (C4 (Web Text))

Max Activating Token Index: 1022

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Text #14

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Text #15

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Data Index: 1181812 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 420817 (C4 (Web Text))

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Text #18

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Data Index: 616271 (C4 (Web Text))

Max Activating Token Index: 807

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Text #19

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Data Index: 139219 (C4 (Web Text))

Max Activating Token Index: 465

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