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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. 9996
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    Explanations

    technical specifications and performance metrics related to marine vehicles

    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
    mbolos
    -0.43
    enderror
    -0.36
    滚
    -0.35
     Treue
    -0.35
     Independencia
    -0.35
     voitures
    -0.35
     Turquía
    -0.34
     pédagogique
    -0.34
    atmosphère
    -0.34
     travailleurs
    -0.33
    POSITIVE LOGITS
     boat
    0.93
     Boat
    0.86
    Boat
    0.86
     boats
    0.80
     hull
    0.78
     Boats
    0.75
     Mercury
    0.74
     outboard
    0.74
    boat
    0.73
     Boating
    0.73
    Activations Density 0.177%

    No Known Activations