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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 11895
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    Explanations

    references to specific age groups, particularly focusing on young individuals and the elderly

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_0/width_16k/average_l0_105
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Personensuche
    -0.69
    WebServlet
    -0.67
     مرئيه
    -0.56
    URBANA
    -0.55
    XmlAccessType
    -0.54
    脚注の使い方
    -0.54
    WebControls
    -0.53
    crites
    -0.53
     tức
    -0.52
    #+#
    -0.51
    POSITIVE LOGITS
     young
    2.30
    young
    2.22
     younger
    2.18
     youthful
    2.12
     age
    2.08
    Young
    2.02
     Younger
    1.95
     youth
    1.94
     YOUNG
    1.92
    Younger
    1.91
    Activations Density 0.083%

    No Known Activations