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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 15057
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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 events and places

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    :✨
    -0.66
     HasFactory
    -0.65
     disambiguazione
    -0.61
    rrggbb
    -0.61
     beginnetje
    -0.59
    tagHelperRunner
    -0.58
    protoimpl
    -0.57
    يكب
    -0.55
    oredCriteria
    -0.55
    ритори
    -0.54
    POSITIVE LOGITS
     San
    0.70
     SF
    0.66
     Examiner
    0.63
     Muni
    0.62
    SF
    0.57
    San
    0.57
     Supervisor
    0.57
     Chronicle
    0.57
     san
    0.57
     Fog
    0.56
    Activations Density 0.193%

    No Known Activations