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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. 12348
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    INDEX
    Explanations

    instances of medical conditions and emergencies

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

    Following forms of "to be" ("was", "being")

    np_acts-logits-general · gemini-2.0-flash

    past medical states

    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
    PyExc
    -0.93
    RenderAtEndOf
    -0.77
    ruptedException
    -0.76
    KommentareTeilen
    -0.75
    SequentialGroup
    -0.73
    rrggbb
    -0.72
     JpaRepository
    -0.71
     defStyle
    -0.68
    脚注の使い方
    -0.67
    DockStyle
    -0.66
    POSITIVE LOGITS
     flown
    0.64
     treated
    0.62
     conscious
    0.62
     stabilized
    0.61
     stable
    0.61
     taken
    0.56
     underwent
    0.55
     consciente
    0.55
     critical
    0.54
     hospitalized
    0.53
    Activations Density 0.116%

    No Known Activations