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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. 100192
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    Explanations

    references to laboratory procedures and sample preparation in medical research

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

    blood sample types and anticoagulants

    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
    tagPool
    -0.55
    Véxase
    -0.55
    pecabe
    -0.53
    Jereo
    -0.49
    AnimationsModule
    -0.49
    +#+#
    -0.49
    MigrationBuilder
    -0.48
    liceerd
    -0.48
     resourceCulture
    -0.46
    脚注の使い方
    -0.45
    POSITIVE LOGITS
     anticoag
    0.40
     BytesLike
    0.37
     collecte
    0.35
     Her
    0.34
     collection
    0.34
     kaarangay
    0.34
     cookies
    0.34
     strengths
    0.33
    HtmlAttribute
    0.33
     blood
    0.33
    Activations Density 0.260%

    No Known Activations