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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. 11560
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    Explanations

    proper names of individuals in academic or professional contexts

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
     whatever
    -0.35
    meyen
    -0.35
     eikä
    -0.35
    hdashline
    -0.34
    yonel
    -0.33
    yfik
    -0.33
     dependiendo
    -0.32
     pasamos
    -0.31
     timbul
    -0.31
     fermée
    -0.31
    POSITIVE LOGITS
     professor
    0.98
     Professor
    0.94
     researchers
    0.90
     research
    0.90
     professors
    0.90
     researcher
    0.88
    professor
    0.88
     Professors
    0.87
    Professor
    0.86
     scientists
    0.82
    Activations Density 0.672%

    No Known Activations