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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. 7497
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    INDEX
    Explanations

    terms related to referrals and recommendations in a business context

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

    Referrals, nominations, and electron beams

    np_acts-logits-general · gemini-2.0-flash

    nomination and referral

    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
    AnimationsModule
    -0.48
    Hozzáférés
    -0.48
    parsedMessage
    -0.45
     mediana
    -0.42
    featureID
    -0.41
    improving
    -0.40
    improved
    -0.40
    effective
    -0.39
    relatively
    -0.39
    EndInit
    -0.39
    POSITIVE LOGITS
     nomination
    0.89
     nominations
    0.87
     Nomination
    0.84
     nominate
    0.82
     nominating
    0.76
     nomin
    0.73
     Nominations
    0.73
     nominated
    0.69
    Nominations
    0.68
     Nomin
    0.68
    Activations Density 0.340%

    No Known Activations