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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 1051 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 0.0266. Min Act: -0.0001

Data Index: 1102052 (C4 (Web Text))

Max Activating Token Index: 925

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Text #1

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Max Act: 0.0240. Min Act: -0.0001

Data Index: 562635 (C4 (Web Text))

Max Activating Token Index: 235

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Truncated

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Text #2

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Max Act: 0.0209. Min Act: -0.0001

Data Index: 432613 (C4 (Web Text))

Max Activating Token Index: 570

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Text #3

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Max Act: 0.0192. Min Act: -0.0001

Data Index: 646958 (C4 (Web Text))

Max Activating Token Index: 474

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Truncated

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Text #4

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Max Act: 0.0176. Min Act: -0.0001

Data Index: 1063991 (C4 (Web Text))

Max Activating Token Index: 238

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Truncated

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Text #5

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Max Act: 0.0181. Min Act: -0.0001

Data Index: 587199 (C4 (Web Text))

Max Activating Token Index: 47

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Text #6

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Data Index: 186216 (C4 (Web Text))

Max Activating Token Index: 591

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Truncated

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Text #7

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Data Index: 590449 (C4 (Web Text))

Max Activating Token Index: 11

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Truncated

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Text #8

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Data Index: 536747 (C4 (Web Text))

Max Activating Token Index: 993

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Text #9

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Data Index: 784703 (C4 (Web Text))

Max Activating Token Index: 123

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Truncated

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Text #10

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Data Index: 467914 (C4 (Web Text))

Max Activating Token Index: 198

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Truncated

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Text #11

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Text #12

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Data Index: 1432408 (Python Code)

Max Activating Token Index: 816

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Text #13

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Data Index: 540696 (C4 (Web Text))

Max Activating Token Index: 755

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Truncated

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Text #14

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Data Index: 1504513 (Python Code)

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Text #15

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Data Index: 207456 (C4 (Web Text))

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Text #16

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Data Index: 1126801 (C4 (Web Text))

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Truncated

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Text #17

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Max Act: 0.0137. Min Act: -0.0001

Data Index: 523565 (C4 (Web Text))

Max Activating Token Index: 773

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Text #18

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Data Index: 1281427 (C4 (Web Text))

Max Activating Token Index: 249

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Truncated

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Text #19

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Data Index: 1034950 (C4 (Web Text))

Max Activating Token Index: 93

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