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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 8091
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    Explanations

    references to airports and travel-related events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     kasarigan
    -0.63
    出版年
    -0.57
    InitVars
    -0.52
     للاسماء
    -0.52
     GenerationType
    -0.51
    脚注の使い方
    -0.50
    RTDA
    -0.50
    ConstraintMaker
    -0.48
    󠁬
    -0.47
    bootstrapcdn
    -0.47
    POSITIVE LOGITS
     airport
    1.49
     Airport
    1.24
     airports
    1.16
    airport
    1.13
     aeropuerto
    1.06
    Airport
    1.05
     Flughafen
    0.98
    机场
    0.98
     aeroporto
    0.95
    機場
    0.94
    Activations Density 0.246%

    No Known Activations