Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 2005 in Layer 6

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Data Index: 1213799 (C4 (Web Text))

Max Activating Token Index: 426

Text #1

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Max Activating Token Index: 440

Text #2

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Data Index: 546930 (C4 (Web Text))

Max Activating Token Index: 738

Text #3

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Max Act: 0.0722. Min Act: -0.0001

Data Index: 15779 (C4 (Web Text))

Max Activating Token Index: 61

Text #4

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Data Index: 134331 (C4 (Web Text))

Max Activating Token Index: 979

Text #5

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Data Index: 964342 (C4 (Web Text))

Max Activating Token Index: 170

Text #6

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Text #7

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Data Index: 1584417 (Python Code)

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Text #8

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Max Activating Token Index: 25

Text #9

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Max Activating Token Index: 513

Text #10

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Max Activating Token Index: 161

Text #11

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Max Activating Token Index: 698

Text #12

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Data Index: 1209033 (C4 (Web Text))

Max Activating Token Index: 494

Text #13

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Data Index: 978200 (C4 (Web Text))

Max Activating Token Index: 749

Text #14

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Max Activating Token Index: 689

Text #15

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Text #16

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Max Activating Token Index: 733

Text #17

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Max Activating Token Index: 300

Text #18

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Data Index: 446605 (C4 (Web Text))

Max Activating Token Index: 1005

Text #19

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Data Index: 223525 (C4 (Web Text))

Max Activating Token Index: 974