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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 11846
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    Explanations

    names of electric vehicles and their manufacturers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Мексичка
    -0.62
     kasarigan
    -0.46
     transfieras
    -0.45
    NameInMap
    -0.45
    neither
    -0.44
    LEGGI
    -0.44
     Moines
    -0.44
     CRP
    -0.43
     становника
    -0.43
    Hentet
    -0.42
    POSITIVE LOGITS
     Nissan
    0.67
     nissan
    0.66
    Nissan
    0.61
    nissan
    0.56
     Infiniti
    0.45
    ParallelGroup
    0.44
     qashqai
    0.43
     Smyrna
    0.42
     Maxima
    0.41
     Sunderland
    0.41
    Activations Density 0.148%

    No Known Activations