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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 7303
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    references to athletic apparel and performance gear

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TypedDataSet
    -0.55
     propOrder
    -0.50
    GenerationType
    -0.47
    InjectAttribute
    -0.47
    orianCalendar
    -0.45
     Normdatei
    -0.45
    ThroughAttribute
    -0.44
     metálico
    -0.43
     セクシー
    -0.42
     econômica
    -0.41
    POSITIVE LOGITS
     waterproof
    0.87
     Gore
    0.75
    waterproof
    0.71
     Waterproof
    0.70
     jackets
    0.69
     jacket
    0.69
     waterproofing
    0.68
    Gore
    0.67
     rain
    0.66
    防水
    0.66
    Activations Density 0.136%

    No Known Activations