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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. 232
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    Explanations

    proper nouns, particularly names of people and places

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

    Capitalized words followed by a comma

    np_acts-logits-general · gemini-2.0-flash

    people, professions, named entities

    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
    IntoConstraints
    -0.59
     AssemblyCulture
    -0.56
    ftagPool
    -0.55
    出版年
    -0.53
    Personendaten
    -0.52
    ConstraintMaker
    -0.50
     fieldNum
    -0.49
    LookAnd
    -0.47
     betweenstory
    -0.47
    XmlAccessorType
    -0.45
    POSITIVE LOGITS
     braços
    0.44
     vœ
    0.44
    Agility
    0.41
     secours
    0.41
    guém
    0.40
     RestTemplate
    0.39
     الأصل
    0.36
     Winaray
    0.36
     Advisory
    0.36
    quedos
    0.36
    Activations Density 1.294%

    No Known Activations