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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. 8690
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    data related to sports team matchups and scores

    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
     itſelf
    -0.66
    
    -0.66
     kasarigan
    -0.64
     ModelExpression
    -0.64
     juſ
    -0.63
    ագրություններ
    -0.60
     increí
    -0.59
    脚注の使い方
    -0.56
     Monfieur
    -0.55
     indígen
    -0.55
    POSITIVE LOGITS
     L
    0.46
     [
    0.45
     (
    0.45
     H
    0.40
     @
    0.40
    (
    0.40
     died
    0.40
    †
    0.40
     R
    0.39
     Natl
    0.39
    Activations Density 1.429%

    No Known Activations