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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. 5812
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    keywords related to eye conditions and treatments

    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
     NSCoder
    -0.66
    findpost
    -0.63
     CallOverrides
    -0.53
    StoryboardSegue
    -0.53
    ="@+
    -0.51
    aarrggbb
    -0.49
    isContained
    -0.46
     Chwiliwch
    -0.46
    Tembelea
    -0.46
    #+#
    -0.45
    POSITIVE LOGITS
     eyelashes
    1.15
     lashes
    1.12
     eyebrows
    0.95
     eyelash
    0.94
     lash
    0.91
     eyelids
    0.91
     Ey
    0.91
     eyebrow
    0.89
     brows
    0.88
     brow
    0.85
    Activations Density 0.154%

    No Known Activations