Model: SoLU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 22 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')
Text #0
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Data Index: 772519 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #1
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Data Index: 454994 (C4 (Web Text))
Max Activating Token Index: 327
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Text #2
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Data Index: 1280866 (C4 (Web Text))
Max Activating Token Index: 324
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Text #3
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Data Index: 1164636 (C4 (Web Text))
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Text #4
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Data Index: 486516 (C4 (Web Text))
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Text #5
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Data Index: 131872 (C4 (Web Text))
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Text #6
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Data Index: 270258 (C4 (Web Text))
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Text #7
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Data Index: 215523 (C4 (Web Text))
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Text #8
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Data Index: 278578 (C4 (Web Text))
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Text #9
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Data Index: 1203015 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #10
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Data Index: 1009754 (C4 (Web Text))
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Text #11
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Data Index: 53603 (C4 (Web Text))
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Text #12
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Data Index: 746607 (C4 (Web Text))
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Text #13
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Data Index: 503248 (C4 (Web Text))
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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: 685280 (C4 (Web Text))
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Text #18
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Data Index: 141027 (C4 (Web Text))
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Text #19
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Max Act: 0.1952. Min Act: -0.0004
Data Index: 1153255 (C4 (Web Text))
Max Activating Token Index: 1023
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