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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 10936
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    terms associated with attracting interest or customers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_0/width_16k/average_l0_105
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Mera
    -0.82
    ussis
    -0.73
     Kej
    -0.68
     convertView
    -0.67
     Feste
    -0.65
     Tumble
    -0.64
     ATOM
    -0.64
     Baskets
    -0.63
     Patsy
    -0.62
     Casca
    -0.62
    POSITIVE LOGITS
     recruitment
    1.04
     recruited
    1.03
     attracted
    0.95
     recruit
    0.91
     recruiting
    0.88
     recrutement
    0.87
     attracting
    0.86
     recruits
    0.85
     attract
    0.85
    Recruitment
    0.84
    Activations Density 0.129%

    No Known Activations