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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 10117
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    Explanations

    instances of the verb "have" and its variations in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DropTable
    -0.49
     مشين
    -0.48
    
    -0.47
     XNUMX
    -0.44
     endwhile
    -0.43
    ValueStyle
    -0.43
     eventType
    -0.43
    AnimationsModule
    -0.42
    }{#
    -0.41
    toolStripButton
    -0.41
    POSITIVE LOGITS
     memiliki
    0.63
     posiada
    0.61
     Tiene
    0.61
     Memiliki
    0.58
     имеет
    0.58
    holds
    0.58
     иметь
    0.58
     habet
    0.57
    Tiene
    0.56
    มี
    0.56
    Activations Density 0.446%

    No Known Activations