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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 4780
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    terms related to intervention efficacy and participant demographics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     participants
    -0.49
     gamers
    -0.45
     Autorizaciones
    -0.44
     frontman
    -0.43
     traders
    -0.43
    Personensuche
    -0.42
     filmmakers
    -0.42
     authors
    -0.42
     Defendant
    -0.41
     protagonists
    -0.41
    POSITIVE LOGITS
    bootstrapcdn
    0.77
    esgue
    0.57
     Akismet
    0.56
    featureID
    0.56
     חיצוניים
    0.53
    BASEPATH
    0.53
     Bài
    0.52
    cember
    0.51
     millis
    0.51
     Normdatei
    0.50
    Activations Density 3.314%

    No Known Activations