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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 417
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    terms related to healthcare and elderly populations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_12/width_16k/average_l0_130
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    .*")]
    -0.53
    ">//
    -0.49
     Réponses
    -0.46
     CreateTagHelper
    -0.44
     typelib
    -0.44
    InstrumentedTest
    -0.38
     talent
    -0.37
    setVerticalGroup
    -0.37
     bit
    -0.37
    AnchorStyles
    -0.36
    POSITIVE LOGITS
     Elderly
    0.79
     elderly
    0.69
     Seniors
    0.62
    elderly
    0.61
     Senior
    0.59
    Senior
    0.59
    Seniors
    0.57
     pensioners
    0.57
     seniors
    0.56
    senior
    0.56
    Activations Density 0.545%

    No Known Activations