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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. 97181
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    Explanations

    geographic locations and names of clubs or teams in a sports context

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

    London, England locations

    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
    oneofs
    -0.62
    igurumi
    -0.56
    Viited
    -0.54
    UserScript
    -0.52
    principalColumn
    -0.51
    IsMutable
    -0.50
     дописавши
    -0.49
     Sulfur
    -0.48
    writerow
    -0.48
    "]();
    -0.48
    POSITIVE LOGITS
     Brentford
    0.60
     Chelsea
    0.51
     Fulham
    0.44
    Chelsea
    0.42
     Middlesex
    0.42
     vē
    0.41
     visualización
    0.40
     tacón
    0.40
     London
    0.39
     Heathrow
    0.39
    Activations Density 0.021%

    No Known Activations