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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 7432
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    cost-saving metrics and business optimizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onAttach
    -0.46
    
    -0.42
    Personensuche
    -0.42
    ScopeManager
    -0.40
     Chwiliwch
    -0.40
    CppMethod
    -0.39
    topbar
    -0.39
    GEBURTSDATUM
    -0.38
    casila
    -0.38
     officielles
    -0.36
    POSITIVE LOGITS
     savings
    0.93
     efficiencies
    0.88
     efficiency
    0.86
     reductions
    0.82
     reduction
    0.82
    savings
    0.81
     optimizations
    0.80
     optimize
    0.79
     optimization
    0.77
     reduce
    0.77
    Activations Density 0.881%

    No Known Activations