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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 5-GEMMASCOPE-RES-16K
    11. 951
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    Explanations

    terms associated with dining and eating experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 5-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_5/width_16k/average_l0_68
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.5.hook_resid_post
    Hook Layer
    5
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SizeF
    -0.82
    kraut
    -0.78
    bewerken
    -0.77
    NullCheck
    -0.71
     IBOutlet
    -0.70
    rungsseite
    -0.69
    LikeLike
    -0.69
    aarrggbb
    -0.69
    lış
    -0.69
    WriteLiteral
    -0.69
    POSITIVE LOGITS
     dining
    1.99
     Dining
    1.82
    Dining
    1.77
    dining
    1.72
     dine
    1.57
     dined
    1.45
    Dine
    1.29
     Dine
    1.25
     DIN
    1.22
     diners
    1.13
    Activations Density 0.056%

    No Known Activations