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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 39-GEMMASCOPE-RES-16K
    11. 1953
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    Explanations

    references to clothing and what individuals are wearing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 39-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_39/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.39.hook_resid_post
    Hook Layer
    39
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     WEAR
    -0.47
    WEAR
    -0.47
    Wear
    -0.46
    AndEndTag
    -0.46
    wear
    -0.44
    contentLoaded
    -0.44
    具
    -0.42
    TypedDataSet
    -0.42
     Wear
    -0.42
     disambiguazione
    -0.40
    POSITIVE LOGITS
     flip
    0.65
     scrubs
    0.64
     autorytatywna
    0.59
     camouflage
    0.59
     jeans
    0.58
     spandex
    0.58
     Hawaiian
    0.57
     sweatpants
    0.57
     sweats
    0.57
     cowboy
    0.57
    Activations Density 0.268%

    No Known Activations