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

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

Neuron 1953 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: 0.0248. Min Act: -0.0006

Data Index: 804380 (C4 (Web Text))

Max Activating Token Index: 40

Text #1

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Max Activating Token Index: 152

Text #2

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Max Activating Token Index: 302

Text #3

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Data Index: 665316 (C4 (Web Text))

Max Activating Token Index: 899

Text #4

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Max Activating Token Index: 318

Text #5

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Max Activating Token Index: 107

Text #6

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Text #7

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Text #8

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Max Activating Token Index: 600

Text #9

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Max Activating Token Index: 513

Text #10

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Max Activating Token Index: 260

Text #11

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Max Activating Token Index: 172

Text #12

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Max Activating Token Index: 336

Text #13

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Max Activating Token Index: 1022

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 909

Text #18

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Max Activating Token Index: 123

Text #19

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Data Index: 1279400 (C4 (Web Text))

Max Activating Token Index: 547