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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 24-GEMMASCOPE-RES-16K
    6. 9706
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    INDEX
    Explanations

    references to the cost and value of materials and products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    associated with high prices

    np_acts-logits-general · gemini-2.0-flash

    expensive, costly, pricey

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    insee
    -0.67
    SequentialGroup
    -0.60
    CodedInputStream
    -0.57
    gebob
    -0.53
     fufficient
    -0.52
    UrlResolution
    -0.51
     récompense
    -0.51
     mérit
    -0.50
     traités
    -0.49
    })();
    
    -0.49
    POSITIVE LOGITS
     expensive
    2.38
    expensive
    1.99
     Expensive
    1.90
     pricey
    1.89
     costly
    1.87
    Expensive
    1.75
     cost
    1.45
     expense
    1.42
     teuer
    1.39
     overpriced
    1.30
    Activations Density 0.180%

    No Known Activations