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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 2014
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    Explanations

    the presence of the word "quick" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     naked
    -0.55
     tel
    -0.53
     pod
    -0.50
    pod
    -0.50
    Introdu
    -0.47
     visual
    -0.47
     Visual
    -0.47
    Reno
    -0.47
    tangentMode
    -0.46
     bVar
    -0.46
    POSITIVE LOGITS
     razón
    0.66
     reason
    0.65
     razão
    0.62
     Betracht
    0.57
     Gerechtigkeit
    0.56
     ocasião
    0.55
    Galería
    0.54
     Economía
    0.54
     Hinsicht
    0.54
     Económica
    0.54
    Activations Density 0.173%

    No Known Activations