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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. 7227
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    Explanations

    details related to patient demographic information and medical conditions

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

    words for "young"

    np_acts-logits-general · gemini-2.0-flash

    young adults

    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
     retired
    -0.88
     retiring
    -0.76
     Retired
    -0.75
    Retired
    -0.73
    retired
    -0.71
     retirement
    -0.71
     retires
    -0.71
     retirees
    -0.68
     retire
    -0.66
     Reti
    -0.66
    POSITIVE LOGITS
     young
    0.82
    young
    0.70
     youth
    0.66
    Young
    0.66
    青年
    0.66
     junge
    0.65
     giovane
    0.63
     millennial
    0.63
     graduate
    0.63
     mlad
    0.62
    Activations Density 0.505%

    No Known Activations