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

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

Neuron 3040 in Layer 3

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')



Text #0

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Max Act: 0.6881. Min Act: -0.0001

Data Index: 375725 (C4 (Web Text))

Max Activating Token Index: 238

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Text #1

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Max Activating Token Index: 900

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Text #2

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Data Index: 722726 (C4 (Web Text))

Max Activating Token Index: 458

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Text #3

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Text #4

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Max Activating Token Index: 805

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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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Text #9

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Data Index: 168189 (C4 (Web Text))

Max Activating Token Index: 31

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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: 717442 (C4 (Web Text))

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Text #19

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Data Index: 1173128 (C4 (Web Text))

Max Activating Token Index: 977

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