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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. 15084
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    Explanations

    references to professionalism in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     vs
    -0.60
    acağı
    -0.53
     brazos
    -0.52
    才是
    -0.52
     laterales
    -0.51
     to
    -0.51
     relativi
    -0.50
     braccia
    -0.49
     gritos
    -0.49
    mekte
    -0.48
    POSITIVE LOGITS
     Profession
    1.33
    Profession
    1.29
     professional
    1.25
    profession
    1.20
     profession
    1.19
     professionally
    1.16
     PROF
    1.15
     profesional
    1.11
     profi
    1.10
    professional
    1.10
    Activations Density 0.132%

    No Known Activations