Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 640 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0359. Min Act: -0.0004

Data Index: 189820 (C4 (Web Text))

Max Activating Token Index: 970

Text #1

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Max Activating Token Index: 139

Text #2

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Data Index: 739403 (C4 (Web Text))

Max Activating Token Index: 61

Text #3

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Data Index: 553350 (C4 (Web Text))

Max Activating Token Index: 916

Text #4

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Data Index: 1076770 (C4 (Web Text))

Max Activating Token Index: 162

Text #5

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Max Activating Token Index: 355

Text #6

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Max Activating Token Index: 621

Text #7

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Max Activating Token Index: 270

Text #8

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Max Activating Token Index: 179

Text #9

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Max Activating Token Index: 1018

Text #10

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Max Activating Token Index: 253

Text #11

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Max Activating Token Index: 366

Text #12

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Max Activating Token Index: 947

Text #13

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Max Activating Token Index: 312

Text #14

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Max Activating Token Index: 1002

Text #15

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Max Activating Token Index: 203

Text #16

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Max Activating Token Index: 342

Text #17

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Max Activating Token Index: 364

Text #18

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Max Activating Token Index: 837

Text #19

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Data Index: 140988 (C4 (Web Text))

Max Activating Token Index: 483