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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 9550
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    Explanations

    references to the quality of equipment or products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ViewImports
    -0.69
    Personendaten
    -0.65
     invokingState
    -0.60
     Taktlose
    -0.52
    AndEndTag
    -0.52
     AllAfrica
    -0.51
    tanleria
    -0.51
     porcentual
    -0.51
     <=",
    -0.51
     transférez
    -0.50
    POSITIVE LOGITS
     hochwertige
    0.75
     hochwer
    0.75
    quality
    0.72
    高质量
    0.71
     berkualitas
    0.56
     kvalit
    0.54
    QUALITY
    0.52
    Quality
    0.50
     excellent
    0.49
    优质
    0.46
    Activations Density 0.087%

    No Known Activations