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

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

Neuron 4091 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: 3.7495. Min Act: -0.0002

Data Index: 1223126 (C4 (Web Text))

Max Activating Token Index: 459

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Text #1

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Data Index: 2590 (C4 (Web Text))

Max Activating Token Index: 28

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Text #2

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Data Index: 205735 (C4 (Web Text))

Max Activating Token Index: 417

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Text #3

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Data Index: 596473 (C4 (Web Text))

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Text #4

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Data Index: 610985 (C4 (Web Text))

Max Activating Token Index: 566

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Text #5

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Text #6

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Text #7

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Text #8

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Data Index: 305146 (C4 (Web Text))

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Text #9

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Data Index: 689267 (C4 (Web Text))

Max Activating Token Index: 549

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Text #10

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Data Index: 83158 (C4 (Web Text))

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Text #11

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Data Index: 145654 (C4 (Web Text))

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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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Data Index: 440956 (C4 (Web Text))

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Text #18

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Data Index: 1090853 (C4 (Web Text))

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Text #19

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Data Index: 703194 (C4 (Web Text))

Max Activating Token Index: 541

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