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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 14634
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    references to sports teams and their performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     jLabel
    -0.37
    SourceChecksum
    -0.36
     olympique
    -0.36
    localVar
    -0.35
    spesies
    -0.35
     excru
    -0.35
    DAMN
    -0.34
     testigo
    -0.34
    QtCore
    -0.34
     CGSize
    -0.33
    POSITIVE LOGITS
     fantasy
    1.20
     Fantasy
    1.04
    Fantasy
    0.96
    fantasy
    0.94
     FANT
    0.85
    fantas
    0.77
     fantasi
    0.74
     fanta
    0.73
     fantasía
    0.70
    antasy
    0.67
    Activations Density 0.117%

    No Known Activations