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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 31 in Layer 4

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Data Index: 281825 (C4 (Web Text))

Max Activating Token Index: 277

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Text #1

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Data Index: 529084 (C4 (Web Text))

Max Activating Token Index: 700

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Text #2

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Data Index: 814485 (C4 (Web Text))

Max Activating Token Index: 223

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Text #3

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Data Index: 294061 (C4 (Web Text))

Max Activating Token Index: 718

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Text #4

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Data Index: 833862 (C4 (Web Text))

Max Activating Token Index: 560

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Text #5

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Data Index: 833576 (C4 (Web Text))

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Text #6

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Data Index: 562627 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 740182 (C4 (Web Text))

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Text #9

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Data Index: 483488 (C4 (Web Text))

Max Activating Token Index: 792

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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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Data Index: 1328305 (C4 (Web Text))

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Text #18

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Data Index: 1157679 (C4 (Web Text))

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Text #19

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Data Index: 255884 (C4 (Web Text))

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