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

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

Neuron 2295 in Layer 4

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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Max Act: 2.3597. Min Act: -0.0001

Data Index: 720894 (C4 (Web Text))

Max Activating Token Index: 43

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Text #1

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Max Act: 2.3023. Min Act: -0.0001

Data Index: 1000753 (C4 (Web Text))

Max Activating Token Index: 483

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Text #2

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Max Act: 1.9112. Min Act: -0.0001

Data Index: 1305660 (C4 (Web Text))

Max Activating Token Index: 446

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Text #3

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Max Act: 1.9238. Min Act: -0.0001

Data Index: 1040633 (C4 (Web Text))

Max Activating Token Index: 759

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Text #4

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Max Act: 2.0045. Min Act: -0.0001

Data Index: 591774 (C4 (Web Text))

Max Activating Token Index: 877

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Text #5

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Data Index: 693395 (C4 (Web Text))

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Text #6

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Data Index: 1002623 (C4 (Web Text))

Max Activating Token Index: 761

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Text #7

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Text #8

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Data Index: 568143 (C4 (Web Text))

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Text #9

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Data Index: 1388296 (Python Code)

Max Activating Token Index: 670

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Text #10

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Data Index: 1171712 (C4 (Web Text))

Max Activating Token Index: 880

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Text #11

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Data Index: 916728 (C4 (Web Text))

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Text #12

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Data Index: 594765 (C4 (Web Text))

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Text #13

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Data Index: 1515743 (Python Code)

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Text #14

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Data Index: 2198 (C4 (Web Text))

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Text #15

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Data Index: 953980 (C4 (Web Text))

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Text #16

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Data Index: 261582 (C4 (Web Text))

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Text #17

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Data Index: 117565 (C4 (Web Text))

Max Activating Token Index: 380

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Text #18

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Data Index: 287859 (C4 (Web Text))

Max Activating Token Index: 92

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Text #19

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Max Act: 1.6392. Min Act: -0.0001

Data Index: 1082423 (C4 (Web Text))

Max Activating Token Index: 391

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