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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 12602
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    INDEX
    Explanations

    concepts related to personal and professional strengths and passions

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

    expertise or passion

    np_acts-logits-general · gemini-2.0-flash

    doing things well

    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-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
    webElementGuid
    -0.60
     ddelweddau
    -0.55
    inWeight
    -0.54
    Personendaten
    -0.52
    +#+#
    -0.51
    ioutil
    -0.49
    ="@+
    -0.48
     GenerationType
    -0.47
    NewGuid
    -0.46
    addCriterion
    -0.46
    POSITIVE LOGITS
     expertise
    0.64
    expertise
    0.56
     Expertise
    0.54
    擅长
    0.54
     métier
    0.52
    Expertise
    0.52
     specializes
    0.51
     specialization
    0.47
     especializado
    0.46
     classiques
    0.45
    Activations Density 0.358%

    No Known Activations