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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. 8411
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    keywords related to trail conditions and navigation

    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
     HasFactory
    -0.57
    enterOuterAlt
    -0.50
    ContentLoaded
    -0.48
    protoimpl
    -0.48
    contentLoaded
    -0.48
    rungsseite
    -0.46
     estekak
    -0.46
    MessageOf
    -0.46
    AnchorTagHelper
    -0.43
     SqlCommand
    -0.43
    POSITIVE LOGITS
     potholes
    1.11
     bumpy
    1.07
     uneven
    0.94
     gravel
    0.93
     slippery
    0.92
     bumps
    0.91
     rough
    0.88
     muddy
    0.88
     treacherous
    0.85
     roughness
    0.82
    Activations Density 0.219%

    No Known Activations