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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 2446
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    INDEX
    Explanations

    elements related to job applications and qualifications

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

    screening/approving applications

    np_acts-logits-general · gemini-2.0-flash

    applicant screening and vetting

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    
    -0.38
    NewUrlParser
    -0.32
     wak
    -0.29
     GenerationType
    -0.28
    ussure
    -0.27
     konk
    -0.27
     señ
    -0.26
     strategy
    -0.26
    oneofs
    -0.26
     conc
    -0.26
    POSITIVE LOGITS
     Screening
    0.75
     screening
    0.71
     vet
    0.71
    Screening
    0.67
     applicants
    0.66
     screened
    0.65
    screening
    0.65
     applicant
    0.64
     candidate
    0.61
     screenings
    0.61
    Activations Density 0.424%

    No Known Activations