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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 10817
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    Explanations

    phrases related to medical conditions, particularly eye-related issues and infections

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RenderAtEndOf
    -0.70
    RTEE
    -0.54
    InitVars
    -0.53
    booth
    -0.41
     Chwiliwch
    -0.41
    orsese
    -0.41
    ftagPool
    -0.40
    MessageOf
    -0.40
    ⇛
    -0.40
     '\\;'
    -0.40
    POSITIVE LOGITS
     diseases
    0.57
     disease
    0.54
     disorders
    0.52
     causes
    0.51
     ſever
    0.49
     condition
    0.48
     maladie
    0.48
    GEBURTSDATUM
    0.48
     illnesses
    0.47
     illness
    0.47
    Activations Density 0.791%

    No Known Activations