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Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 792 in Layer 4

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

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Max Act: 0.0866. Min Act: -0.0001

Data Index: 1567310 (Python Code)

Max Activating Token Index: 561

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Text #1

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Max Act: 0.0797. Min Act: -0.0001

Data Index: 88920 (C4 (Web Text))

Max Activating Token Index: 267

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Truncated

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Text #2

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Max Act: 0.0791. Min Act: -0.0001

Data Index: 637511 (C4 (Web Text))

Max Activating Token Index: 979

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Text #3

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Max Act: 0.0844. Min Act: -0.0001

Data Index: 404742 (C4 (Web Text))

Max Activating Token Index: 319

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Truncated

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Text #4

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Max Act: 0.0745. Min Act: -0.0001

Data Index: 765481 (C4 (Web Text))

Max Activating Token Index: 445

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Truncated

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Text #5

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Data Index: 1194139 (C4 (Web Text))

Max Activating Token Index: 126

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Text #6

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Data Index: 572573 (C4 (Web Text))

Max Activating Token Index: 912

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Text #7

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Data Index: 1330469 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 692509 (C4 (Web Text))

Max Activating Token Index: 864

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Text #9

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Data Index: 262130 (C4 (Web Text))

Max Activating Token Index: 516

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Text #10

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Data Index: 186278 (C4 (Web Text))

Max Activating Token Index: 695

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Text #11

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Text #12

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Data Index: 51512 (C4 (Web Text))

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Text #13

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Data Index: 179757 (C4 (Web Text))

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Text #14

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Data Index: 1248924 (C4 (Web Text))

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Text #15

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Data Index: 1471180 (Python Code)

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Text #16

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Data Index: 1179025 (C4 (Web Text))

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Text #17

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Data Index: 688001 (C4 (Web Text))

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Text #18

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Data Index: 97466 (C4 (Web Text))

Max Activating Token Index: 408

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Text #19

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Data Index: 463377 (C4 (Web Text))

Max Activating Token Index: 493

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