Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1225 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Data Index: 1228118 (C4 (Web Text))

Max Activating Token Index: 388

Text #1

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Data Index: 769219 (C4 (Web Text))

Max Activating Token Index: 366

Text #2

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Data Index: 147787 (C4 (Web Text))

Max Activating Token Index: 122

Text #3

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Data Index: 911248 (C4 (Web Text))

Max Activating Token Index: 649

Text #4

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Data Index: 1065069 (C4 (Web Text))

Max Activating Token Index: 514

Text #5

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Data Index: 940389 (C4 (Web Text))

Max Activating Token Index: 261

Text #6

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Max Activating Token Index: 122

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Max Activating Token Index: 94

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Text #10

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Max Activating Token Index: 849

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Max Activating Token Index: 437

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Max Activating Token Index: 504

Text #13

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Max Activating Token Index: 280

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: 417

Text #18

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Max Activating Token Index: 388

Text #19

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Data Index: 297258 (C4 (Web Text))

Max Activating Token Index: 225