Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 950 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0244. Min Act: -0.0006

Data Index: 1320220 (C4 (Web Text))

Max Activating Token Index: 740

Text #1

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Max Activating Token Index: 548

Text #2

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Max Act: 0.0217. Min Act: -0.0006

Data Index: 296041 (C4 (Web Text))

Max Activating Token Index: 494

Text #3

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Data Index: 156872 (C4 (Web Text))

Max Activating Token Index: 963

Text #4

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Data Index: 672675 (C4 (Web Text))

Max Activating Token Index: 208

Text #5

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Max Activating Token Index: 902

Text #6

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Max Activating Token Index: 1010

Text #7

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Max Activating Token Index: 614

Text #8

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Max Activating Token Index: 798

Text #9

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Max Activating Token Index: 270

Text #10

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Text #11

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Max Activating Token Index: 213

Text #12

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Max Activating Token Index: 295

Text #13

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Max Activating Token Index: 786

Text #14

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Max Activating Token Index: 408

Text #15

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Text #16

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Text #17

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Text #18

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Text #19

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Data Index: 1352996 (C4 (Web Text))

Max Activating Token Index: 614