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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. 16221
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    numerical data related to patient demographics and health statistics

    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
    findpost
    -1.12
     Infórmanos
    -0.86
     Normdatei
    -0.85
     Италијани
    -0.83
    setVerticalGroup
    -0.82
    Билгалдахарш
    -0.79
    addCriterion
    -0.79
    ScopeManager
    -0.78
     ligiloj
    -0.78
    PerformLayout
    -0.77
    POSITIVE LOGITS
    0
    0.65
    5
    0.57
    8
    0.57
    9
    0.56
    2
    0.54
    6
    0.53
    7
    0.53
    1
    0.52
    3
    0.51
    4
    0.48
    Activations Density 1.137%

    No Known Activations