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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 8360
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    references to skin and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     spesa
    -0.44
    Carriera
    -0.43
    oredCriteria
    -0.41
     <>",
    -0.40
    Và
    -0.39
    Fordítás
    -0.38
     Erbe
    -0.37
     spô
    -0.37
     requestCode
    -0.37
     teratur
    -0.36
    POSITIVE LOGITS
    Skin
    0.65
     Skin
    0.62
     epidermis
    0.60
    ########.
    0.57
     SKIN
    0.57
     Gallimard
    0.54
     tone
    0.52
     الذات
    0.50
    nies
    0.49
    ning
    0.49
    Activations Density 0.119%

    No Known Activations