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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 4251
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    evaluative language related to service quality and staff behavior

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_15/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.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    UserScript
    -0.52
    хівовано
    -0.48
    endphp
    -0.45
    ConstraintMaker
    -0.45
     дописавши
    -0.44
    AntiForgeryToken
    -0.43
     <=",
    -0.43
     <>",
    -0.42
     Audiodateien
    -0.42
     Мексичка
    -0.42
    POSITIVE LOGITS
    親切
    0.48
     cordial
    0.46
     polite
    0.45
     courteous
    0.45
     JADX
    0.44
     aimable
    0.42
     amable
    0.42
     staff
    0.42
     friendliness
    0.42
     Interaction
    0.41
    Activations Density 0.127%

    No Known Activations