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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 12539
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    elements related to job applications and professional growth

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    AddTagHelper
    -0.62
     فريبيس
    -0.53
    GOTREF
    -0.50
    windowFixed
    -0.48
    oneofs
    -0.47
    PreferredItem
    -0.43
     onBind
    -0.43
    
    -0.42
    borderFill
    -0.42
     GenerationType
    -0.40
    POSITIVE LOGITS
     attract
    0.49
     reputation
    0.47
     appeal
    0.47
     score
    0.47
     attracting
    0.45
    score
    0.45
     impress
    0.45
     disqual
    0.44
     presentation
    0.44
     earn
    0.44
    Activations Density 0.412%

    No Known Activations