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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 2547
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    Explanations

    names of individuals, particularly in Japanese contexts

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

    Japanese personal names

    np_acts-logits-general · gemini-2.0-flash

    Japanese names

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     متعلقه
    -0.74
     للمعارف
    -0.74
     AssemblyProduct
    -0.69
     مرئيه
    -0.68
     препратки
    -0.67
     bezeichneter
    -0.67
    IVEREF
    -0.63
     tartalomajánló
    -0.61
    PerformLayout
    -0.60
     surla
    -0.60
    POSITIVE LOGITS
    SPECIFIED
    0.47
     sub
    0.46
     pro
    0.46
    子
    0.45
     Canadiens
    0.44
     Guna
    0.42
     PRO
    0.42
    componentWill
    0.42
     supervisor
    0.42
    正文
    0.41
    Activations Density 0.130%

    No Known Activations