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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 15181
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    Explanations

    mentions of lakes and related water activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CodeAttribute
    -0.61
    TagMode
    -0.57
    ScopeManager
    -0.45
     AppModule
    -0.45
    RunWith
    -0.45
     ExecuteAsync
    -0.44
    锈钢
    -0.44
     المعيارى
    -0.43
    ViewFeatures
    -0.43
    zzleHttp
    -0.43
    POSITIVE LOGITS
     lake
    2.08
     Lake
    1.90
     lakes
    1.88
    Lake
    1.68
    lake
    1.54
     LAKE
    1.49
     Lakes
    1.46
    lakes
    1.46
    湖
    1.34
     pond
    1.32
    Activations Density 0.243%

    No Known Activations