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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 62259
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    Explanations

    references to lakes and bodies of water

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

    bodies of water like lakes

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    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
    -0.59
    XmlType
    -0.48
    ApiModelProperty
    -0.48
     AppModule
    -0.47
    CodeAttribute
    -0.47
    itemView
    -0.47
    setupUi
    -0.46
    ButtonModule
    -0.46
    ScopeManager
    -0.45
    出版年
    -0.44
    POSITIVE LOGITS
     lake
    1.75
     Lake
    1.58
     lakes
    1.55
    Lake
    1.44
     LAKE
    1.38
    lake
    1.29
     Lakes
    1.16
    lakes
    1.16
    湖
    1.12
    Lakes
    1.08
    Activations Density 0.048%

    No Known Activations