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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. 6281
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    Explanations

    terms related to elderly health and caregiving

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

    older people

    np_acts-logits-general · gemini-2.0-flash

    elderly and retired individuals

    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
    AndEndTag
    -0.49
    setCharacter
    -0.37
     hyped
    -0.35
     unicorn
    -0.34
    чке
    -0.33
     talent
    -0.33
    melse
    -0.32
     crescere
    -0.32
     Niño
    -0.32
     adrenal
    -0.31
    POSITIVE LOGITS
     Elderly
    1.11
     elderly
    1.09
    👵
    1.04
     pensioners
    1.02
     retirees
    1.02
    Retirement
    1.00
     Retirement
    1.00
    elderly
    0.96
    Seniors
    0.96
     Retired
    0.95
    Activations Density 0.376%

    No Known Activations