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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 12968
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    INDEX
    Explanations

    specific automotive performance metrics and characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Features or descriptions of motor vehicles

    np_acts-logits-general · gemini-2.0-flash

    vehicle descriptors and types

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AndEndTag
    -0.88
    NameInMap
    -0.72
    出版年
    -0.71
    WithIOException
    -0.68
    Hochspringen
    -0.67
    SourceChecksum
    -0.63
     فريبيس
    -0.62
    +#+#
    -0.62
     AttributeSet
    -0.61
    sizeCache
    -0.60
    POSITIVE LOGITS
     entry
    0.73
     mid
    0.70
     sports
    0.70
     commuter
    0.68
     everyday
    0.63
     compact
    0.61
     sport
    0.61
     performer
    0.59
     machine
    0.59
     family
    0.58
    Activations Density 0.166%

    No Known Activations