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

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

Neuron 55 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: 0.0577. Min Act: -0.0002

Data Index: 957351 (C4 (Web Text))

Max Activating Token Index: 187

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Text #1

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Data Index: 471363 (C4 (Web Text))

Max Activating Token Index: 1006

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Text #2

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Data Index: 998096 (C4 (Web Text))

Max Activating Token Index: 529

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Text #3

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Data Index: 1323374 (C4 (Web Text))

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Text #4

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Data Index: 526756 (C4 (Web Text))

Max Activating Token Index: 501

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Text #5

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Data Index: 385350 (C4 (Web Text))

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Text #6

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Data Index: 893342 (C4 (Web Text))

Max Activating Token Index: 883

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Text #7

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Text #8

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Data Index: 759385 (C4 (Web Text))

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Text #9

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Data Index: 85019 (C4 (Web Text))

Max Activating Token Index: 356

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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: 279115 (C4 (Web Text))

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Text #18

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Data Index: 1102410 (C4 (Web Text))

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Text #19

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Data Index: 1197969 (C4 (Web Text))

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