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Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 2041 in Layer 3

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')



Text #0

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Max Act: 0.0680. Min Act: -0.0002

Data Index: 1124374 (C4 (Web Text))

Max Activating Token Index: 254

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Text #1

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Max Act: 0.0622. Min Act: -0.0002

Data Index: 800486 (C4 (Web Text))

Max Activating Token Index: 646

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Text #2

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Max Act: 0.0571. Min Act: -0.0002

Data Index: 840675 (C4 (Web Text))

Max Activating Token Index: 553

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Text #3

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Max Act: 0.0552. Min Act: -0.0001

Data Index: 55445 (C4 (Web Text))

Max Activating Token Index: 719

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Text #4

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Data Index: 823801 (C4 (Web Text))

Max Activating Token Index: 976

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Text #5

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Data Index: 1260639 (C4 (Web Text))

Max Activating Token Index: 971

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Text #6

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Data Index: 515712 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 1640196 (Python Code)

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Text #9

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Data Index: 1293564 (C4 (Web Text))

Max Activating Token Index: 159

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Text #10

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Data Index: 472718 (C4 (Web Text))

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Text #11

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Text #12

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Text #13

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Text #14

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Data Index: 1029254 (C4 (Web Text))

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Text #15

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Data Index: 536242 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 713991 (C4 (Web Text))

Max Activating Token Index: 505

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Text #18

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Data Index: 61654 (C4 (Web Text))

Max Activating Token Index: 304

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Text #19

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Data Index: 257806 (C4 (Web Text))

Max Activating Token Index: 911

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