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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 11714
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    occurrences of string literals and code markup in programming contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     antemano
    -0.36
    IBarButtonItem
    -0.34
     melu
    -0.34
     matrícula
    -0.33
    CPtr
    -0.33
    guilty
    -0.33
    istungs
    -0.32
     dégustation
    -0.32
     menem
    -0.31
    indicate
    -0.31
    POSITIVE LOGITS
    tagHelperRunner
    0.84
    
    0.62
    ViewFeatures
    0.57
     ivelany
    0.54
     purpoſe
    0.52
     resourceCulture
    0.51
    dafx
    0.49
     pinulongan
    0.48
    Personensuche
    0.46
     informée
    0.46
    Activations Density 0.412%

    No Known Activations