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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 65k
    9. 16-GEMMASCOPE-RES-65K
    11. 31609
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    Explanations

    references to the SFML (Simple and Fast Multimedia Library) framework and its components

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

    SF or San Francisco

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-65k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_65k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    65,536
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Sudan
    -0.69
    ContextCompat
    -0.69
     poff
    -0.69
    tuuri
    -0.68
     reft
    -0.68
     Sudan
    -0.68
     TextInputType
    -0.66
     HEM
    -0.65
    Hush
    -0.65
    modelBuilder
    -0.65
    POSITIVE LOGITS
     Francisco
    1.30
    Francisco
    1.20
     francisco
    1.16
     sf
    1.07
     SF
    1.03
     FRANCISCO
    0.96
     Fran
    0.88
    sf
    0.82
     GenerationType
    0.80
    SF
    0.79
    Activations Density 0.019%

    No Known Activations