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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. 4996
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    Explanations

    references to notable baseball players and events in a ceremonial context

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     betweenstory
    -0.52
    idenav
    -0.48
    RegressionTest
    -0.47
     spô
    -0.46
    FunctionFlags
    -0.45
    mería
    -0.44
     inoxydable
    -0.41
    RequiresApi
    -0.40
     Segovia
    -0.40
    ษัท
    -0.40
    POSITIVE LOGITS
     Cincinnati
    1.16
    Cincinnati
    1.05
     Cin
    0.81
    Cin
    0.73
     cin
    0.73
     Bengals
    0.70
    cin
    0.66
    cinnati
    0.61
     Ohio
    0.60
     cincin
    0.59
    Activations Density 0.257%

    No Known Activations