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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. 10517
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    INDEX
    Explanations

    quantifiable metrics related to rates and performance in various contexts

    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
    ngdoc
    -0.42
    Glory
    -0.36
    刈
    -0.36
     tuss
    -0.35
    InjectAttribute
    -0.35
    クレジット
    -0.35
     Alloc
    -0.35
    gliere
    -0.34
    czas
    -0.34
     Roman
    -0.33
    POSITIVE LOGITS
     rate
    3.20
     rates
    2.86
     Rate
    2.84
    Rate
    2.72
    rate
    2.64
     RATE
    2.56
     Rates
    2.56
    Rates
    2.41
    rates
    2.30
     RATES
    2.30
    Activations Density 1.121%

    No Known Activations