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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 5-GEMMASCOPE-RES-16K
    11. 6917
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    terms related to specialization and expertise in various fields

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 5-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_5/width_16k/average_l0_68
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.5.hook_resid_post
    Hook Layer
    5
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AndEndTag
    -0.77
    MigrationBuilder
    -0.76
    Билгалдахарш
    -0.75
     verru
    -0.71
     PyObject
    -0.70
    invokeLater
    -0.67
    orianCalendar
    -0.66
    клопе
    -0.66
    dymyr
    -0.65
    JNIEnv
    -0.65
    POSITIVE LOGITS
     specialist
    1.64
     specialize
    1.63
     specialise
    1.61
    specialist
    1.56
     specialized
    1.55
     specialised
    1.53
     specialty
    1.53
    specialized
    1.52
    Specialist
    1.51
     specialization
    1.50
    Activations Density 0.082%

    No Known Activations