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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 9693
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    terms related to cholesterol levels and lipid profiles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ModelExpression
    -0.41
    endphp
    -0.40
    клопе
    -0.40
    awtextra
    -0.39
     firebaseConfig
    -0.39
     Train
    -0.38
    Train
    -0.38
     canst
    -0.38
    /*
    -0.37
     Chwiliwch
    -0.35
    POSITIVE LOGITS
     cholesterol
    1.29
     Cholesterol
    1.13
     LDL
    1.13
     colesterol
    1.05
     lipoprotein
    0.96
    LDL
    0.95
     HDL
    0.95
    olesterol
    0.88
     lipid
    0.85
    HDL
    0.77
    Activations Density 0.693%

    No Known Activations