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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 7157
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    Explanations

    names of individuals and characters associated with film and television

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IndentedString
    -0.49
     @"/
    -0.47
    jaros
    -0.43
     entertainment
    -0.42
    itize
    -0.41
     Muriel
    -0.41
     socializing
    -0.41
     cine
    -0.41
    Julien
    -0.41
     socialization
    -0.41
    POSITIVE LOGITS
    providedIn
    0.55
     ModelExpression
    0.53
     تضيفلها
    0.52
    played
    0.52
    RectangleBorder
    0.47
     ujednoznacz
    0.46
     '\\;'
    0.44
     vété
    0.44
     disambiguazione
    0.44
    veter
    0.41
    Activations Density 0.091%

    No Known Activations