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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. 14180
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    Explanations

    references to clothing and layering options

    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
     koszulka
    -0.65
    TypedDataSet
    -0.59
     afspraak
    -0.55
    koszulka
    -0.54
    spodnie
    -0.51
    OGND
    -0.50
     незавершена
    -0.48
    sukienka
    -0.48
    pulseira
    -0.48
    ferrer
    -0.47
    POSITIVE LOGITS
     coats
    1.20
     coat
    1.16
     jacket
    1.07
     jackets
    1.05
     Coat
    0.98
     Jacket
    0.87
    Coat
    0.86
     Coats
    0.85
     parka
    0.85
     hooded
    0.85
    Activations Density 0.104%

    No Known Activations