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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 5010
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    Explanations

    mentions 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 @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tramonto
    -0.42
    enumi
    -0.35
    ToUpdate
    -0.34
    قایناق‌لار
    -0.34
    Ƚ
    -0.33
    ytick
    -0.32
    InjectMocks
    -0.32
     météo
    -0.31
     Brit
    -0.31
    IInter
    -0.31
    POSITIVE LOGITS
     mass
    1.85
    mass
    1.73
    Mass
    1.66
     MASS
    1.57
     Massen
    1.56
     Mass
    1.55
    MASS
    1.54
     massa
    1.42
     masses
    1.41
    masses
    1.36
    Activations Density 0.226%

    No Known Activations