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

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

Neuron 2087 in Layer 3

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: 1.7106. Min Act: -0.0001

Data Index: 1213656 (C4 (Web Text))

Max Activating Token Index: 165

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Text #1

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Data Index: 254517 (C4 (Web Text))

Max Activating Token Index: 860

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Text #2

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Data Index: 236450 (C4 (Web Text))

Max Activating Token Index: 298

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Text #3

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Data Index: 1047668 (C4 (Web Text))

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Text #4

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Data Index: 967647 (C4 (Web Text))

Max Activating Token Index: 746

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Text #5

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Data Index: 271451 (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: 1272460 (C4 (Web Text))

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Text #9

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Data Index: 604161 (C4 (Web Text))

Max Activating Token Index: 339

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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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Data Index: 816241 (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: 295145 (C4 (Web Text))

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Text #18

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Data Index: 421323 (C4 (Web Text))

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Text #19

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Data Index: 757445 (C4 (Web Text))

Max Activating Token Index: 866

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