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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. 107534
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    INDEX
    Explanations

    frequent mentions of the term "Cologne" in various contexts

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

    Cologne, concurrent, bigl strings

    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
    ftagPool
    -0.46
    منابع
    -0.44
    GEBURTSDATUM
    -0.43
    клопе
    -0.42
     CanadaChoose
    -0.41
     disponibilités
    -0.41
    Cyfeiriadau
    -0.40
    vdash
    -0.40
    KommentareTeilen
    -0.39
    EnableWeb
    -0.39
    POSITIVE LOGITS
     Cologne
    1.09
    logne
    0.80
    Concurrent
    0.77
     Köln
    0.74
     Concurrent
    0.69
    Köln
    0.65
     Köl
    0.52
     bocca
    0.52
     concurrent
    0.52
     cologne
    0.51
    Activations Density 0.001%

    No Known Activations