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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 7114
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    keywords related to trails and recreational paths

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     EconPapers
    -0.65
    MemoryWarning
    -0.65
     actionTypes
    -0.63
     AssemblyTitle
    -0.62
     NgModule
    -0.60
    AnimationsModule
    -0.59
     AssemblyVersion
    -0.55
    VersionUID
    -0.55
    Чыганаклар
    -0.55
    GIVEREF
    -0.54
    POSITIVE LOGITS
     trail
    0.87
     trails
    0.82
     hiking
    0.71
     Trail
    0.68
    trail
    0.66
    Trail
    0.65
     hike
    0.64
     paths
    0.63
     Trails
    0.60
     TRAIL
    0.59
    Activations Density 0.114%

    No Known Activations