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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 8-GEMMASCOPE-RES-16K
    11. 6807
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    Explanations

    references to wearing clothing or accessories

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 8-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_8/width_16k/average_l0_71
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.8.hook_resid_post
    Hook Layer
    8
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    (',')
    -0.76
    subsubsection
    -0.69
    hasMoreElements
    -0.69
     decisivo
    -0.69
    ])));
    -0.68
    itol
    -0.68
     Cousins
    -0.68
    ApiProperty
    -0.66
     SCOPE
    -0.66
     Pritchard
    -0.66
    POSITIVE LOGITS
     Wear
    1.45
     wear
    1.45
     worn
    1.35
    Wear
    1.33
     wears
    1.31
    wear
    1.28
     WEAR
    1.26
     wearer
    1.25
     wearing
    1.20
     Wearing
    1.19
    Activations Density 0.026%

    No Known Activations