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

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

Neuron 4023 in Layer 3

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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Max Act: 0.0568. Min Act: -0.0001

Data Index: 547104 (C4 (Web Text))

Max Activating Token Index: 173

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Text #1

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Data Index: 704117 (C4 (Web Text))

Max Activating Token Index: 235

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Text #2

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Max Act: 0.0480. Min Act: -0.0001

Data Index: 1402716 (Python Code)

Max Activating Token Index: 527

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Text #3

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Data Index: 745299 (C4 (Web Text))

Max Activating Token Index: 836

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Text #4

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Data Index: 397173 (C4 (Web Text))

Max Activating Token Index: 199

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Text #5

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Data Index: 128752 (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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Text #9

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Data Index: 311382 (C4 (Web Text))

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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: 451804 (C4 (Web Text))

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Text #18

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Data Index: 1460843 (Python Code)

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Text #19

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Data Index: 1133738 (C4 (Web Text))

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