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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 13828
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    elements of automotive design and technology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    KommentareTeilen
    -0.56
    Personensuche
    -0.52
     Gegenteil
    -0.50
     disambiguazione
    -0.48
    findpost
    -0.45
     للمعارف
    -0.42
     OFDb
    -0.41
     Bewußt
    -0.41
     protocolos
    -0.40
     Nachbarn
    -0.40
    POSITIVE LOGITS
     optional
    0.52
     option
    0.49
     izvē
    0.46
     Option
    0.46
    options
    0.44
     estimés
    0.44
     options
    0.43
    getOptions
    0.43
     Options
    0.43
    itim
    0.43
    Activations Density 0.183%

    No Known Activations