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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 8768
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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     powiedzieć
    -1.07
     współpra
    -0.96
     czł
    -0.93
     dziennik
    -0.92
     kupić
    -0.91
     nauczy
    -0.90
     państw
    -0.87
     inwest
    -0.87
     wiedzieć
    -0.87
     mów
    -0.86
    POSITIVE LOGITS
    běh
    0.66
     !)
    0.65
     moul
    0.63
    ští
    0.61
     technique
    0.61
     confortable
    0.61
     retra
    0.60
     exportation
    0.60
     environ
    0.59
     en
    0.58
    Activations Density 0.472%

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