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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 2245
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    Explanations

    references to causes of death, particularly those involving medical conditions or trauma

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Follows "was," "from," or "of."

    np_acts-logits-general · gemini-2.0-flash

    causes of death or injury

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     injured
    -0.61
    ########.
    -0.57
     AttributeSet
    -0.57
    IntoConstraints
    -0.57
    Espèce
    -0.55
     Xer
    -0.55
    Obrázky
    -0.55
    TypedDataSet
    -0.53
    痛い
    -0.53
     verletzt
    -0.53
    POSITIVE LOGITS
     natural
    0.65
     natürlichen
    0.65
     natürliche
    0.63
    makeConstraints
    0.62
     naturale
    0.61
     heart
    0.61
     natür
    0.61
     undetermined
    0.60
     suff
    0.59
     carbon
    0.58
    Activations Density 0.324%

    No Known Activations