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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 37056
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    INDEX
    Explanations

    mentions of toll-related concepts, particularly in relation to receptors and collection

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

    toll and related contexts

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     préparation
    -0.46
     Nascimento
    -0.45
     initComponents
    -0.43
     hemel
    -0.43
     réussir
    -0.43
    ニーカー
    -0.42
     MacGregor
    -0.42
    <h2>
    -0.40
    unyai
    -0.39
    Zeneca
    -0.39
    POSITIVE LOGITS
     toll
    2.27
    Toll
    2.23
     Toll
    2.22
    toll
    1.98
     tolls
    1.78
     tol
    1.02
    tol
    0.86
     Tol
    0.86
     TOL
    0.85
    Tol
    0.85
    Activations Density 0.004%

    No Known Activations