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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 13-GEMMASCOPE-RES-16K
    11. 9225
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    Explanations

    instances of the word 'wear' and its variations, indicating focus on clothing or apparel

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 13-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_13/width_16k/average_l0_84
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    (',')
    -0.83
    stateProvider
    -0.75
     Cousins
    -0.75
     Plummer
    -0.74
     McGee
    -0.73
    itol
    -0.73
    subsubsection
    -0.72
     Pritchard
    -0.69
     ALC
    -0.69
     jsonObj
    -0.69
    POSITIVE LOGITS
     Wear
    1.23
     wear
    1.21
    Wear
    1.12
     worn
    1.10
     wears
    1.06
     WEAR
    1.05
    wear
    1.04
     Worn
    1.02
     wearer
    0.96
     wore
    0.90
    Activations Density 0.040%

    No Known Activations