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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 8750
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    Explanations

    references to cost and cost-effectiveness 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 @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ScopeManager
    -0.47
     سازی
    -0.40
    verifyException
    -0.38
    ATUR
    -0.37
    hape
    -0.37
     Latent
    -0.37
    Количество
    -0.36
    etor
    -0.36
     latent
    -0.36
    winkel
    -0.35
    POSITIVE LOGITS
     incurred
    0.79
    umers
    0.67
     savings
    0.61
     prohibitive
    0.61
    benefit
    0.60
    liest
    0.57
    umer
    0.56
    lier
    0.56
    umed
    0.54
     saving
    0.54
    Activations Density 0.132%

    No Known Activations