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

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

Neuron 3050 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: 0.7129. Min Act: -0.0001

Data Index: 37358 (C4 (Web Text))

Max Activating Token Index: 724

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Text #1

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Data Index: 1013208 (C4 (Web Text))

Max Activating Token Index: 825

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Text #2

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Data Index: 50094 (C4 (Web Text))

Max Activating Token Index: 242

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Text #3

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Data Index: 447875 (C4 (Web Text))

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Text #4

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Data Index: 375197 (C4 (Web Text))

Max Activating Token Index: 301

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Text #5

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Data Index: 744975 (C4 (Web Text))

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Text #6

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Text #7

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Text #8

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Data Index: 1350486 (C4 (Web Text))

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Text #9

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Data Index: 553437 (C4 (Web Text))

Max Activating Token Index: 491

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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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Data Index: 1262339 (C4 (Web Text))

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Text #18

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Data Index: 1319792 (C4 (Web Text))

Max Activating Token Index: 643

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Text #19

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Data Index: 1273075 (C4 (Web Text))

Max Activating Token Index: 862

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