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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 7-GEMMASCOPE-RES-16K
    11. 15166
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    Explanations

    descriptors of individuals' appearances and clothing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 7-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_7/width_16k/average_l0_92
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.hook_resid_post
    Hook Layer
    7
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Искәрмәләр
    -0.53
     kasarigan
    -0.53
     desmotivaciones
    -0.52
     חיצוניים
    -0.52
    bezpiecz
    -0.52
     vectorielle
    -0.51
     maternidade
    -0.51
     rajut
    -0.50
    Dicas
    -0.50
     riscal
    -0.49
    POSITIVE LOGITS
     wearing
    0.40
     Amor
    0.39
     ak
    0.35
     Stor
    0.35
     air
    0.35
     dressed
    0.35
    amor
    0.35
     pink
    0.35
     Fra
    0.35
     black
    0.35
    Activations Density 0.433%

    No Known Activations