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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 12308
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    keywords related to automotive performance and modifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_12/width_16k/average_l0_130
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ThroughAttribute
    -0.77
     iprot
    -0.73
     disambiguazione
    -0.73
    <unused43>
    -0.70
    <unused41>
    -0.69
    <unused28>
    -0.69
    <unused42>
    -0.69
    <unused47>
    -0.69
    <pad>
    -0.69
    [@BOS@]
    -0.69
    POSITIVE LOGITS
     sports
    0.36
    sports
    0.33
     RACING
    0.32
     sport
    0.32
    Sports
    0.32
     racing
    0.30
     esportivo
    0.30
     deportivos
    0.30
     sportowe
    0.30
     tuned
    0.30
    Activations Density 0.448%

    No Known Activations