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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 7891
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    keywords related to healthy living and nutrition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     يتيمه
    -0.59
    rungsseite
    -0.51
    atura
    -0.42
    ArrowToggle
    -0.41
    PreferredItem
    -0.40
    thenia
    -0.39
    ECONDS
    -0.39
    UnusedPrivate
    -0.38
    Scalars
    -0.38
     Dadurch
    -0.38
    POSITIVE LOGITS
     practices
    0.63
    ########.
    0.54
     Practices
    0.53
     PRACTICES
    0.51
    practices
    0.50
    Practices
    0.49
    קישורים
    0.48
    ReusableCell
    0.48
     convivencia
    0.47
    alternatives
    0.47
    Activations Density 0.402%

    No Known Activations