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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 13120
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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     prestazioni
    -0.40
     niebla
    -0.39
     prestaciones
    -0.39
     tapaht
    -0.39
     Ausrüstung
    -0.38
     dignité
    -0.38
     nubes
    -0.37
     normalidad
    -0.37
     periódicos
    -0.36
    cuidado
    -0.36
    POSITIVE LOGITS
     course
    0.67
     courses
    0.64
     Course
    0.63
    Personensuche
    0.61
     Courses
    0.60
     graduate
    0.57
     Studies
    0.57
    Course
    0.54
     graduates
    0.53
     majoring
    0.53
    Activations Density 0.205%

    No Known Activations