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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 12123
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    terms related to eye health and conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    findpost
    -0.57
    StoryboardSegue
    -0.52
     NSCoder
    -0.50
    Tembelea
    -0.49
    aarrggbb
    -0.49
    MigrationBuilder
    -0.48
     CallOverrides
    -0.48
    tinyos
    -0.47
    ="@+
    -0.46
     insuffisamment
    -0.46
    POSITIVE LOGITS
     lashes
    1.08
     eyelashes
    1.07
     lash
    0.91
     eyelash
    0.90
     Lash
    0.89
     eyebrows
    0.86
     Ey
    0.85
     brows
    0.85
     pestañas
    0.81
     brow
    0.81
    Activations Density 0.152%

    No Known Activations