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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 167
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    numerical data and metrics related to measurements or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     betweenstory
    -0.57
    Personendaten
    -0.50
    exposure
    -0.48
    weeb
    -0.47
    exhaust
    -0.47
    
    -0.46
    SerializedSize
    -0.46
    Regressor
    -0.45
    TagMode
    -0.45
    brown
    -0.45
    POSITIVE LOGITS
     ratio
    0.60
     Ratio
    0.50
    Ratio
    0.46
     RATIO
    0.46
     cappuccio
    0.41
    ratio
    0.40
    差
    0.40
     difference
    0.40
     surla
    0.40
    RATIO
    0.39
    Activations Density 0.865%

    No Known Activations