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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. 85064
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    Explanations

    mentions of specific Italian cities and related places

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

    italian cities

    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
    ppuden
    -0.70
    :✨
    -0.69
    setVerticalGroup
    -0.65
     
    -0.64
     queſta
    -0.62
    AISSEE
    -0.62
    featureID
    -0.59
     noDo
    -0.59
    IVEREF
    -0.59
    GEBURTSDATUM
    -0.58
    POSITIVE LOGITS
     Genoa
    0.57
     Siena
    0.55
     Bologna
    0.53
     Verona
    0.49
    Bologna
    0.48
    Geno
    0.47
     Parma
    0.46
     Tuscany
    0.44
     Geno
    0.42
     Genova
    0.40
    Activations Density 0.008%

    No Known Activations