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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 20-GEMMASCOPE-RES-131K
    11. 85452
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    INDEX
    Explanations

    geographical locations and references related to Italy and Brazil

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

    brazilian cities and milan

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     volcán
    -0.42
    Gemeinden
    -0.41
    ]='\
    -0.40
     quedado
    -0.39
     decorativas
    -0.39
     lleno
    -0.38
     vertrouwen
    -0.38
    Handlung
    -0.38
    filled
    -0.37
     zout
    -0.37
    POSITIVE LOGITS
     Milan
    0.91
    Milan
    0.84
     Meksiku
    0.80
     Lomb
    0.73
     Milán
    0.70
     Milano
    0.69
     milan
    0.68
     Chicago
    0.68
    Milano
    0.66
    milan
    0.66
    Activations Density 0.009%

    No Known Activations