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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. 1312
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    Explanations

    references to the concept of mass or large quantities in various contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
     MainAxisSize
    -0.51
     RouterModule
    -0.44
    rungsseite
    -0.43
    oneofs
    -0.42
     مشين
    -0.42
     silicona
    -0.42
     BorderSide
    -0.41
     riuscito
    -0.41
    twimg
    -0.41
    Aholisi
    -0.40
    POSITIVE LOGITS
    Mass
    0.93
     Mass
    0.91
     mass
    0.91
    mass
    0.89
    MASS
    0.88
     Massen
    0.87
     massa
    0.83
     MASS
    0.82
     Masses
    0.75
     masses
    0.74
    Activations Density 0.141%

    No Known Activations