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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 705 in Layer 5

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 0.0534. Min Act: -0.0001

Data Index: 612600 (C4 (Web Text))

Max Activating Token Index: 730

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Text #1

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Data Index: 1628660 (Python Code)

Max Activating Token Index: 699

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Text #2

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Max Act: 0.0477. Min Act: -0.0001

Data Index: 993044 (C4 (Web Text))

Max Activating Token Index: 1008

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Text #3

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Data Index: 216486 (C4 (Web Text))

Max Activating Token Index: 840

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Text #4

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Data Index: 792013 (C4 (Web Text))

Max Activating Token Index: 435

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Text #5

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Data Index: 1350641 (C4 (Web Text))

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Text #6

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Data Index: 1520774 (Python Code)

Max Activating Token Index: 611

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Text #7

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Data Index: 987768 (C4 (Web Text))

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Text #8

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Data Index: 296041 (C4 (Web Text))

Max Activating Token Index: 928

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Text #9

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Data Index: 568628 (C4 (Web Text))

Max Activating Token Index: 677

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Text #10

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Text #11

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Text #12

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Data Index: 1123081 (C4 (Web Text))

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Text #13

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Data Index: 1397851 (Python Code)

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Text #14

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Data Index: 1110942 (C4 (Web Text))

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Text #15

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Data Index: 583912 (C4 (Web Text))

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Text #16

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Data Index: 1345223 (C4 (Web Text))

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Text #17

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Data Index: 22000 (C4 (Web Text))

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Text #18

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Data Index: 518412 (C4 (Web Text))

Max Activating Token Index: 346

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Text #19

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Data Index: 901497 (C4 (Web Text))

Max Activating Token Index: 957

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