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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. 39028
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    Explanations

    proper nouns, specifically names of cities or locations

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

    cities followed by local institutions

    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
     orgull
    -0.43
     Könige
    -0.34
     Städte
    -0.33
     bolso
    -0.33
     mejorado
    -0.33
    Greater
    -0.32
    申し上げます
    -0.32
     města
    -0.31
    Välislingid
    -0.31
    我了
    -0.31
    POSITIVE LOGITS
     invokingState
    0.70
    олові
    0.64
    RTLU
    0.58
     beſte
    0.57
    mybatisplus
    0.57
    jspx
    0.56
     zuſammen
    0.55
    IGraphics
    0.54
    tonode
    0.53
    ategy
    0.53
    Activations Density 0.036%

    No Known Activations