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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 8948
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    references to different types of shirts and clothing features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SharedCtor
    -0.47
    новниш
    -0.46
    <0xDA>
    -0.39
    angling
    -0.38
     connexe
    -0.38
    Sinopsis
    -0.35
    rapment
    -0.34
    zoll
    -0.33
     poveznice
    -0.33
    好好
    -0.33
    POSITIVE LOGITS
     shirt
    1.18
     Shirt
    1.08
    shirt
    1.08
    Shirt
    1.05
     shirts
    1.04
    Shirts
    0.96
    shirts
    0.96
     Shirts
    0.95
    şört
    0.91
    hirt
    0.88
    Activations Density 0.182%

    No Known Activations