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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 9262
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    repetitive references to biological terms and concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     présidenti
    -0.42
     rédaction
    -0.37
     cathédrale
    -0.36
     manguera
    -0.35
     Artículos
    -0.35
     générale
    -0.34
     Generales
    -0.34
     trânsito
    -0.34
    getSelectedItem
    -0.33
     actitudes
    -0.33
    POSITIVE LOGITS
     bio
    4.31
     Bio
    3.80
    Bio
    3.61
    bio
    3.55
     BIO
    2.98
     био
    2.91
    BIO
    2.84
     bios
    2.39
    バイオ
    2.28
    生物
    2.20
    Activations Density 0.141%

    No Known Activations