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

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

Neuron 1028 in Layer 1

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: 0.0272. Min Act: -0.0006

Data Index: 1406420 (Python Code)

Max Activating Token Index: 101

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Text #1

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Data Index: 909140 (C4 (Web Text))

Max Activating Token Index: 1019

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Text #2

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Max Act: 0.0213. Min Act: -0.0006

Data Index: 446374 (C4 (Web Text))

Max Activating Token Index: 632

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Text #3

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Max Act: 0.0206. Min Act: -0.0006

Data Index: 686235 (C4 (Web Text))

Max Activating Token Index: 1011

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Text #4

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Data Index: 742235 (C4 (Web Text))

Max Activating Token Index: 343

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Text #5

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Data Index: 998863 (C4 (Web Text))

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Text #6

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Data Index: 1644197 (Python Code)

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Text #7

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Data Index: 1258159 (C4 (Web Text))

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Text #8

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Data Index: 819325 (C4 (Web Text))

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Text #9

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Data Index: 141547 (C4 (Web Text))

Max Activating Token Index: 381

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Text #10

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Data Index: 764333 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 232065 (C4 (Web Text))

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Text #13

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Data Index: 988801 (C4 (Web Text))

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Text #14

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Data Index: 989610 (C4 (Web Text))

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Text #15

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Data Index: 92346 (C4 (Web Text))

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Text #16

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Data Index: 485429 (C4 (Web Text))

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Text #17

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Data Index: 357035 (C4 (Web Text))

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Text #18

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Data Index: 399760 (C4 (Web Text))

Max Activating Token Index: 394

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Text #19

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Data Index: 562119 (C4 (Web Text))

Max Activating Token Index: 1010

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