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

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

Neuron 4281 in Layer 2

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: 190949 (C4 (Web Text))

Max Activating Token Index: 51

Text #1

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Max Activating Token Index: 803

Text #2

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Data Index: 240456 (C4 (Web Text))

Max Activating Token Index: 665

Text #3

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Max Act: 0.0581. Min Act: -0.0002

Data Index: 238793 (C4 (Web Text))

Max Activating Token Index: 97

Text #4

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Data Index: 1041694 (C4 (Web Text))

Max Activating Token Index: 12

Text #5

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Max Activating Token Index: 282

Text #6

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Max Activating Token Index: 250

Text #7

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Text #8

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Text #9

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Text #10

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Max Activating Token Index: 700

Text #11

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Max Activating Token Index: 399

Text #12

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Max Activating Token Index: 797

Text #13

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Max Activating Token Index: 223

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: 236

Text #19

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Data Index: 1320042 (C4 (Web Text))

Max Activating Token Index: 426