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

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

Neuron 1430 in Layer 5

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: 533466 (C4 (Web Text))

Max Activating Token Index: 841

Text #1

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Max Activating Token Index: 861

Text #2

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Max Activating Token Index: 982

Text #3

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Data Index: 224044 (C4 (Web Text))

Max Activating Token Index: 935

Text #4

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Data Index: 1257077 (C4 (Web Text))

Max Activating Token Index: 860

Text #5

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Data Index: 300635 (C4 (Web Text))

Max Activating Token Index: 504

Text #6

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Max Activating Token Index: 956

Text #7

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Max Activating Token Index: 891

Text #8

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Max Activating Token Index: 35

Text #9

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Max Activating Token Index: 460

Text #10

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Data Index: 332896 (C4 (Web Text))

Max Activating Token Index: 829

Text #11

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Max Activating Token Index: 6

Text #12

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Max Activating Token Index: 776

Text #13

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Data Index: 10519 (C4 (Web Text))

Max Activating Token Index: 232

Text #14

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Data Index: 22504 (C4 (Web Text))

Max Activating Token Index: 32

Text #15

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Max Activating Token Index: 358

Text #16

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Max Activating Token Index: 360

Text #17

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Max Activating Token Index: 544

Text #18

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Max Activating Token Index: 491

Text #19

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Data Index: 329214 (C4 (Web Text))

Max Activating Token Index: 285