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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 12014
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    Explanations

    variations of the word "ven" and its derivatives in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     conscious
    -0.40
    Источники
    -0.34
    Viitteet
    -0.33
    ❹
    -0.33
     Conscious
    -0.31
     entretien
    -0.30
    sofá
    -0.30
     oficialmente
    -0.30
    лтемелер
    -0.29
    راتيج
    -0.29
    POSITIVE LOGITS
     Ven
    0.94
    Ven
    0.85
    Personensuche
    0.77
     ven
    0.77
     VEN
    0.67
     يتيمه
    0.66
    RegistryLite
    0.63
     Venue
    0.62
    Venue
    0.61
     Venti
    0.60
    Activations Density 0.176%

    No Known Activations