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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 15296
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    Explanations

    focus on names and titles, particularly in the context of people and organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 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
    Personendaten
    -0.89
     kasarigan
    -0.82
    RenderAtEndOf
    -0.76
    IntoConstraints
    -0.73
     ویکی‌پدی
    -0.66
     disambiguazione
    -0.63
    .*")]
    -0.60
    rawDesc
    -0.59
    GEBURTSDATUM
    -0.59
    AccessorTable
    -0.58
    POSITIVE LOGITS
    TotalCount
    0.40
    port
    0.38
    sandalia
    0.36
    aiuto
    0.33
     nonUne
    0.33
    ikation
    0.32
    snapshot
    0.32
     aka
    0.32
    ultra
    0.31
     bañ
    0.31
    Activations Density 0.855%

    No Known Activations