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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B-IT
    4. Residual Stream - 131k
    5. 31-GEMMASCOPE-RES-131K
    6. 110826
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    INDEX
    Explanations

    references to urban slums and the challenges they face

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

    informal slums

    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
    GTCX
    -0.37
    irited
    -0.37
     EClass
    -0.35
    ホール
    -0.34
     moe
    -0.34
    Frontend
    -0.34
    Trey
    -0.33
    VersionUID
    -0.33
    DataBinding
    -0.33
    甜
    -0.33
    POSITIVE LOGITS
     informal
    1.34
     Informal
    1.27
    Informal
    1.24
    formal
    1.10
    Formal
    1.06
     slums
    1.04
     formal
    1.04
     Formal
    1.02
     informally
    0.98
     slum
    0.97
    Activations Density 0.058%

    No Known Activations