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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 1096
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    Explanations

    significant factors and predictive behaviors related to health and wellness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_15/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Calvo
    -0.69
     Tapia
    -0.64
     Jimenez
    -0.58
     Hayashi
    -0.56
     Connolly
    -0.56
     Keim
    -0.56
     Jiménez
    -0.56
     idealism
    -0.54
     Wachs
    -0.54
     Lieb
    -0.54
    POSITIVE LOGITS
    er
    0.98
    erer
    0.76
    izer
    0.73
    rer
    0.68
    erker
    0.66
    eror
    0.65
    irer
    0.65
    orer
    0.65
    rager
    0.64
    eder
    0.63
    Activations Density 3.961%

    No Known Activations