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

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

Neuron 2081 in Layer 2

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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Data Index: 32873 (C4 (Web Text))

Max Activating Token Index: 220

Text #1

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Max Activating Token Index: 897

Text #2

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Max Act: 0.0911. Min Act: -0.0003

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Max Activating Token Index: 470

Text #3

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Max Act: 0.0883. Min Act: -0.0003

Data Index: 626763 (C4 (Web Text))

Max Activating Token Index: 33

Text #4

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Max Activating Token Index: 993

Text #5

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Max Activating Token Index: 570

Text #6

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Data Index: 982001 (C4 (Web Text))

Max Activating Token Index: 194

Text #7

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Max Activating Token Index: 322

Text #8

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Max Activating Token Index: 663

Text #9

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Max Activating Token Index: 539

Text #10

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Data Index: 83019 (C4 (Web Text))

Max Activating Token Index: 404

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Max Activating Token Index: 272

Text #12

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Max Activating Token Index: 63

Text #13

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Max Activating Token Index: 400

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 366

Text #19

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Data Index: 1293742 (C4 (Web Text))

Max Activating Token Index: 234