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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 39-GEMMASCOPE-RES-16K
    11. 4847
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    references to food preparation and cooking details

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 39-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_39/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.39.hook_resid_post
    Hook Layer
    39
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     consultato
    -0.50
     ویکی‌پدی
    -0.49
    XmlAccessType
    -0.46
    ngdoc
    -0.44
     kaarangay
    -0.42
    
    -0.42
     Breakfast
    -0.42
     desay
    -0.41
    ANTLR
    -0.41
    strap
    -0.40
    POSITIVE LOGITS
     buffet
    0.81
     appetizers
    0.77
     nib
    0.74
     canapé
    0.70
     BUFF
    0.70
     hors
    0.69
    Buff
    0.69
     platter
    0.69
     trays
    0.68
     Buffet
    0.67
    Activations Density 0.207%

    No Known Activations