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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. 10037
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    references to damage, especially in legal or medical contexts

    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
    PreInfinity
    -0.35
     للمعارف
    -0.32
     Él
    -0.31
    InputTagHelper
    -0.30
    etCode
    -0.29
    ⇀
    -0.29
    dra
    -0.28
    onomía
    -0.28
    IntoConstraints
    -0.28
     gifted
    -0.28
    POSITIVE LOGITS
     damage
    3.27
     Damage
    2.83
    damage
    2.73
    Damage
    2.70
     damages
    2.56
     DAMAGE
    2.50
     damaged
    2.25
    DAMAGE
    2.17
     Damages
    2.17
     daño
    2.11
    Activations Density 0.738%

    No Known Activations