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

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

Neuron 4054 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: 2.6387. Min Act: -0.0001

Data Index: 514724 (C4 (Web Text))

Max Activating Token Index: 445

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Text #1

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Data Index: 4711 (C4 (Web Text))

Max Activating Token Index: 175

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Text #2

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Max Act: 2.6213. Min Act: -0.0001

Data Index: 469264 (C4 (Web Text))

Max Activating Token Index: 463

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Text #3

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Data Index: 1232668 (C4 (Web Text))

Max Activating Token Index: 851

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Text #4

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Data Index: 925720 (C4 (Web Text))

Max Activating Token Index: 861

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Text #5

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Text #6

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Max Activating Token Index: 503

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Text #7

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Text #8

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Data Index: 484867 (C4 (Web Text))

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Text #9

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Data Index: 238113 (C4 (Web Text))

Max Activating Token Index: 789

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Text #10

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Data Index: 180015 (C4 (Web Text))

Max Activating Token Index: 647

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Text #11

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Text #12

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Data Index: 144642 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 1091623 (C4 (Web Text))

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Text #15

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Text #16

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Text #17

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Data Index: 961902 (C4 (Web Text))

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Text #18

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Data Index: 132188 (C4 (Web Text))

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Text #19

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Data Index: 27571 (C4 (Web Text))

Max Activating Token Index: 247

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