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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 5597
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    INDEX
    Explanations

    references to urban environments and activities

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

    cities and city life

    np_acts-logits-general · gemini-2.0-flash

    urban contexts

    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-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
     Anſ
    -0.82
     Houſe
    -0.80
     purpoſe
    -0.69
     houſe
    -0.68
     ſte
    -0.63
     perſon
    -0.63
     ſche
    -0.63
     Diſ
    -0.62
     mision
    -0.62
     parís
    -0.60
    POSITIVE LOGITS
     Urban
    0.84
    Urban
    0.83
     urban
    0.79
     URBAN
    0.79
    Rural
    0.76
     Rural
    0.76
    Floral
    0.74
     Floral
    0.73
     rural
    0.72
     RURAL
    0.70
    Activations Density 0.639%

    No Known Activations