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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. 13911
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    Explanations

    descriptions of clothing and what people are wearing

    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
     betre
    -0.40
     gres
    -0.40
     置物
    -0.36
     backbone
    -0.34
     Using
    -0.34
     core
    -0.33
     gine
    -0.32
     concrete
    -0.32
     Immutable
    -0.31
     occur
    -0.31
    POSITIVE LOGITS
     worn
    0.89
     wearer
    0.77
     للاسماء
    0.75
     Worn
    0.74
     initComponents
    0.65
    expandindo
    0.63
     getragen
    0.63
     ketat
    0.63
    Попис
    0.60
    Datuak
    0.59
    Activations Density 0.325%

    No Known Activations