Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 1944 in Layer 4

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Data Index: 404920 (C4 (Web Text))

Max Activating Token Index: 776

Text #1

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Max Activating Token Index: 348

Text #2

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Max Activating Token Index: 905

Text #3

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Data Index: 425168 (C4 (Web Text))

Max Activating Token Index: 25

Text #4

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Max Activating Token Index: 179

Text #5

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Max Activating Token Index: 336

Text #6

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Text #9

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Max Activating Token Index: 387

Text #10

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Max Activating Token Index: 258

Text #11

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Max Activating Token Index: 195

Text #12

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Max Activating Token Index: 326

Text #13

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Max Activating Token Index: 88

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 93

Text #19

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Data Index: 437368 (C4 (Web Text))

Max Activating Token Index: 85