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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. 12532
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    instances of data categorization and division into groups or classifications

    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
     للاسماء
    -0.50
     âmes
    -0.49
    rungsseite
    -0.49
    beelden
    -0.49
     resourceCulture
    -0.48
    AnchorStyles
    -0.44
    Parcelize
    -0.40
     místě
    -0.40
     måte
    -0.39
     insuffisamment
    -0.39
    POSITIVE LOGITS
     clusters
    0.94
     divisions
    0.93
     zones
    0.93
     sections
    0.92
     blocks
    0.88
     groups
    0.83
     groupings
    0.81
     subsections
    0.81
     categories
    0.79
     segments
    0.79
    Activations Density 1.188%

    No Known Activations