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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 6565
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    Explanations

    references to various drugs and medications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    manjaro
    -0.47
     مرئيه
    -0.46
     embreagem
    -0.45
     hiér
    -0.44
    QtCore
    -0.43
     initComponents
    -0.43
    InView
    -0.42
    VELAND
    -0.42
    ByIndex
    -0.41
     povr
    -0.39
    POSITIVE LOGITS
     pharmaceutical
    2.09
     drug
    2.02
     drugs
    2.02
    Pharma
    1.91
     Pharmaceutical
    1.89
     pharma
    1.88
     pharmaceuticals
    1.87
     Pharma
    1.82
     medication
    1.82
    drugs
    1.81
    Activations Density 0.384%

    No Known Activations