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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. 10779
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    Explanations

    concepts related to motivation and its influence on performance and engagement

    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
    ScopeManager
    -0.56
    Geplaatst
    -0.54
    NameInMap
    -0.54
    İstinadlar
    -0.53
    WithIOException
    -0.52
     Мексичка
    -0.52
    rinfo
    -0.48
     disambiguazione
    -0.48
    BagConstraints
    -0.47
    makeText
    -0.46
    POSITIVE LOGITS
     motivation
    2.78
     motivate
    2.58
     motivating
    2.48
     motiv
    2.48
     Motivation
    2.47
    motivation
    2.42
     Motiv
    2.42
    Motivation
    2.41
     motivates
    2.41
    Motiv
    2.39
    Activations Density 0.582%

    No Known Activations