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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 35963
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    INDEX
    Explanations

    phrases and terms related to specialization and specialties in various fields

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

    specialization in an area

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pecabe
    -0.49
    קישורים
    -0.48
     escultura
    -0.48
     binatang
    -0.47
     RELIEF
    -0.47
     nubes
    -0.46
     pandémie
    -0.45
     logística
    -0.45
    ípio
    -0.44
     judicia
    -0.44
    POSITIVE LOGITS
     specialization
    1.39
     Specialization
    1.30
     specialist
    1.23
     specialty
    1.18
     specialists
    1.17
     specialize
    1.17
     speciality
    1.14
     specializing
    1.12
     Specialist
    1.11
     specialise
    1.10
    Activations Density 0.012%

    No Known Activations