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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 11337
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    keywords related to wildlife management and conservation practices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_12/width_16k/average_l0_130
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     NSCoder
    -0.59
    featureID
    -0.57
     OFDb
    -0.56
    chemise
    -0.55
     ویکی‌پدی
    -0.53
     initComponents
    -0.53
    styleType
    -0.52
     препратки
    -0.52
    MigrationBuilder
    -0.52
    IntoConstraints
    -0.50
    POSITIVE LOGITS
     harvest
    0.52
     demolish
    0.52
     removal
    0.51
     removing
    0.49
    XmlAccessorType
    0.49
     clearing
    0.48
    removal
    0.47
     harvesting
    0.47
    Removal
    0.46
     Removal
    0.45
    Activations Density 0.685%

    No Known Activations