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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. 13334
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    Explanations

    references to classic car features and specifications

    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
     الرياضيه
    -0.49
    Personendaten
    -0.42
     diseños
    -0.40
     designers
    -0.40
    wiście
    -0.40
     designs
    -0.39
     diseñadores
    -0.39
     IMAX
    -0.39
     tamaños
    -0.38
     architects
    -0.38
    POSITIVE LOGITS
     restoration
    0.66
     rebuilt
    0.66
     restored
    0.65
     restauración
    0.57
    Restoration
    0.56
     restorations
    0.56
     provenance
    0.56
     rust
    0.55
     repaint
    0.55
     originality
    0.54
    Activations Density 0.081%

    No Known Activations