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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 8901
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    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    "San Francisco" or "SF"

    np_acts-logits-general · gemini-2.0-flash

    San Francisco Bay Area

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tableFuture
    -0.67
    TypedDataSet
    -0.65
     محفوظة
    -0.63
    ]--;
    -0.61
    tagHelperRunner
    -0.61
    IntoConstraints
    -0.61
     typelib
    -0.59
    Personendaten
    -0.56
    يكب
    -0.56
    raje
    -0.54
    POSITIVE LOGITS
     SF
    0.97
    SF
    0.92
     San
    0.80
     Bay
    0.79
     sf
    0.73
     Oakland
    0.71
    sf
    0.70
    Bay
    0.69
     Chronicle
    0.69
    San
    0.69
    Activations Density 0.180%

    No Known Activations