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

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

Neuron 1332 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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Data Index: 399950 (C4 (Web Text))

Max Activating Token Index: 679

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Text #1

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Data Index: 877725 (C4 (Web Text))

Max Activating Token Index: 75

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Text #2

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Data Index: 627145 (C4 (Web Text))

Max Activating Token Index: 351

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Text #3

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Text #4

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Data Index: 1552025 (Python Code)

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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: 440327 (C4 (Web Text))

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Text #9

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Data Index: 694314 (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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Data Index: 247042 (C4 (Web Text))

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Text #16

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Text #17

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Text #18

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Data Index: 953103 (C4 (Web Text))

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Text #19

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Data Index: 939223 (C4 (Web Text))

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