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

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

Neuron 61 in Layer 3

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 0.0669. Min Act: -0.0002

Data Index: 600129 (C4 (Web Text))

Max Activating Token Index: 637

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Text #1

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Data Index: 683143 (C4 (Web Text))

Max Activating Token Index: 324

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Truncated

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Text #2

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Data Index: 15155 (C4 (Web Text))

Max Activating Token Index: 1000

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Text #3

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Data Index: 763116 (C4 (Web Text))

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Truncated

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Text #4

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Data Index: 225337 (C4 (Web Text))

Max Activating Token Index: 806

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Truncated

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Text #5

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Data Index: 67394 (C4 (Web Text))

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Text #6

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Truncated

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Text #7

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Truncated

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Text #8

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Text #9

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Data Index: 197240 (C4 (Web Text))

Max Activating Token Index: 198

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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: 327562 (C4 (Web Text))

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Text #19

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Data Index: 665134 (C4 (Web Text))

Max Activating Token Index: 292

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