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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 4024
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    Explanations

    elements related to job applications and professional qualifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     purchased
    -0.33
     bought
    -0.33
     دستور
    -0.32
     ub
    -0.32
     pol
    -0.32
    队的
    -0.32
     estren
    -0.31
     Diener
    -0.31
    Xaml
    -0.30
     adult
    -0.30
    POSITIVE LOGITS
     job
    1.34
     hiring
    1.31
     recruiters
    1.30
     recruiter
    1.28
     Hiring
    1.24
     recruitment
    1.23
    Hiring
    1.23
     candidates
    1.21
    Job
    1.19
     candidate
    1.17
    Activations Density 0.373%

    No Known Activations