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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 16-GEMMASCOPE-RES-16K
    6. 5796
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    INDEX
    Explanations

    significant achievements and milestones in sports career narratives

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

    Winning or championships

    np_acts-logits-general · gemini-2.0-flash

    winning championships and awards

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TagMode
    -0.55
     Karten
    -0.54
    anzia
    -0.46
     tween
    -0.45
     scri
    -0.45
     assign
    -0.45
    tuch
    -0.44
    glades
    -0.44
    roughs
    -0.44
    ASSIGN
    -0.44
    POSITIVE LOGITS
     winning
    0.89
    Winning
    0.85
    winning
    0.80
     winners
    0.79
     victorious
    0.77
     vincere
    0.77
     victory
    0.76
     Winning
    0.75
     winner
    0.72
     crowned
    0.72
    Activations Density 0.162%

    No Known Activations