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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. 8053
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    references to competitive achievements and performance metrics in sports

    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
    dominant
    -0.55
    Topping
    -0.53
     topping
    -0.51
     dominant
    -0.50
    champion
    -0.49
    sieger
    -0.49
     topped
    -0.48
     campeão
    -0.47
     winning
    -0.46
    FieldBuilder
    -0.46
    POSITIVE LOGITS
     ninth
    0.73
     seventh
    0.70
     tenth
    0.69
     sixth
    0.67
     eighth
    0.66
     twelfth
    0.65
     eleventh
    0.63
     fifth
    0.60
     thirteenth
    0.60
     fourteenth
    0.60
    Activations Density 0.145%

    No Known Activations