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

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

Neuron 2039 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: 0.0565. Min Act: -0.0002

Data Index: 327150 (C4 (Web Text))

Max Activating Token Index: 770

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Text #1

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Max Activating Token Index: 371

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Text #2

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Data Index: 270129 (C4 (Web Text))

Max Activating Token Index: 944

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Text #3

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Text #4

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Max Activating Token Index: 865

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Text #5

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Text #6

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Text #7

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Text #8

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Data Index: 395201 (C4 (Web Text))

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Text #9

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Data Index: 443528 (C4 (Web Text))

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Text #10

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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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Text #15

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Text #16

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Text #17

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Text #18

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Data Index: 937209 (C4 (Web Text))

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Text #19

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