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

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

Neuron 1987 in Layer 1

Load this data into an Interactive Neuroscope

See Documentation here

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

Text #0

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Max Act: 0.0137. Min Act: -0.0004

Data Index: 1049385 (C4 (Web Text))

Max Activating Token Index: 663

Text #1

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Max Act: 0.0136. Min Act: -0.0004

Data Index: 1030023 (C4 (Web Text))

Max Activating Token Index: 546

Text #2

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Max Act: 0.0122. Min Act: -0.0004

Data Index: 160908 (C4 (Web Text))

Max Activating Token Index: 132

Text #3

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Max Act: 0.0121. Min Act: -0.0004

Data Index: 1086502 (C4 (Web Text))

Max Activating Token Index: 350

Text #4

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Data Index: 912567 (C4 (Web Text))

Max Activating Token Index: 884

Text #5

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Data Index: 1216904 (C4 (Web Text))

Max Activating Token Index: 814

Text #6

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Data Index: 1538470 (Python Code)

Max Activating Token Index: 176

Text #7

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Data Index: 1281148 (C4 (Web Text))

Max Activating Token Index: 318

Text #8

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Data Index: 3714 (C4 (Web Text))

Max Activating Token Index: 456

Text #9

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Max Activating Token Index: 279

Text #10

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Max Activating Token Index: 805

Text #11

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Data Index: 430696 (C4 (Web Text))

Max Activating Token Index: 414

Text #12

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Max Activating Token Index: 365

Text #13

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Max Activating Token Index: 58

Text #14

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Max Activating Token Index: 54

Text #15

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Text #16

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Max Activating Token Index: 214

Text #17

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Max Activating Token Index: 420

Text #18

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Data Index: 288319 (C4 (Web Text))

Max Activating Token Index: 909

Text #19

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Max Act: 0.0100. Min Act: -0.0004

Data Index: 210353 (C4 (Web Text))

Max Activating Token Index: 637