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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 27-GEMMASCOPE-RES-16K
    11. 8128
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    Explanations

    quantitative data related to medical and health outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 27-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_27/width_16k/average_l0_118
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.27.hook_resid_post
    Hook Layer
    27
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ponses
    -0.51
    setVerticalGroup
    -0.46
    EDEFAULT
    -0.45
    Personendaten
    -0.45
     kasarigan
    -0.44
     ویکی‌پدی
    -0.41
     שוליים
    -0.40
     useAppContext
    -0.39
     Unmarshal
    -0.39
     saites
    -0.38
    POSITIVE LOGITS
     complaints
    0.65
     complaining
    0.63
     emergency
    0.63
     complaint
    0.63
     struggle
    0.62
     Complaints
    0.61
    Complaints
    0.60
     hospital
    0.60
     crying
    0.60
    苦労
    0.59
    Activations Density 0.462%

    No Known Activations