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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 14043
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    Explanations

    different types of dresses and gowns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Nani
    -0.41
    verick
    -0.40
    uyen
    -0.39
    ṯ
    -0.38
     Majority
    -0.38
    irited
    -0.37
     Guth
    -0.36
     viable
    -0.36
     indic
    -0.36
    [++
    -0.36
    POSITIVE LOGITS
     dress
    3.53
     Dress
    3.31
    Dress
    3.27
    dress
    3.22
     DRESS
    3.05
     dressing
    2.63
    DRESS
    2.61
     dressed
    2.58
     dresses
    2.47
     Dressing
    2.39
    Activations Density 0.091%

    No Known Activations