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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 12957
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    INDEX
    Explanations

    connections between veterinary professionals and species-specific conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Industries and related fields

    np_acts-logits-general · gemini-2.0-flash

    industries and disciplines

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fjspx
    -0.76
     initComponents
    -0.64
    دانشنامهٔ
    -0.62
     autorytatywna
    -0.61
    SourceChecksum
    -0.59
    évaluateur
    -0.57
    ftagPool
    -0.57
     שוליים
    -0.54
    LookAnd
    -0.49
    tagPool
    -0.48
    POSITIVE LOGITS
     dentistry
    0.85
     firearms
    0.77
     textiles
    0.70
     woodworking
    0.69
     forestry
    0.68
     dental
    0.68
     aviation
    0.68
     poultry
    0.66
     Dentistry
    0.66
     textil
    0.66
    Activations Density 1.238%

    No Known Activations