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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 11501
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    Explanations

    references to shoes and footwear

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_0/width_16k/average_l0_105
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enso
    -0.54
    mur
    -0.51
     plan
    -0.49
     (
    -0.49
    $\
    -0.48
    tron
    -0.48
     mol
    -0.48
     
    -0.47
    ton
    -0.47
     kon
    -0.46
    POSITIVE LOGITS
     виправивши
    0.97
     shoes
    0.93
     Shoes
    0.92
     Reſ
    0.92
    脚注の使い方
    0.86
     footwear
    0.86
     pleaſure
    0.86
    shoes
    0.84
    enumi
    0.82
    enumii
    0.82
    Activations Density 0.139%

    No Known Activations