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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 12860
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    Explanations

    references to cultural and socioeconomic factors affecting health

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

    following commas like "and," "or," "as"

    np_acts-logits-general · gemini-2.0-flash

    factors, lack of

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 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
    ReusableCell
    -0.76
    MLLoader
    -0.62
    GOTREF
    -0.59
    pushFollow
    -0.57
    setVerticalGroup
    -0.55
    ंदीखरीदारी
    -0.54
    XmlAccessorType
    -0.54
     Италијани
    -0.54
     newBuilder
    -0.54
    enterOuterAlt
    -0.54
    POSITIVE LOGITS
     factors
    0.62
     lack
    0.60
     fattori
    0.46
     عوامل
    0.43
    lack
    0.42
    因素
    0.41
    Lack
    0.40
     gebre
    0.39
     Factors
    0.38
     factores
    0.38
    Activations Density 0.786%

    No Known Activations