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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 7715
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    references to different types of shoes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ViewFeatures
    -0.52
    RegressionTest
    -0.48
    󠁢
    -0.45
    bkz
    -0.45
     Efq
    -0.45
     Dim
    -0.43
    relaxed
    -0.42
     dimming
    -0.42
     TRIM
    -0.41
    Diweddarwch
    -0.41
    POSITIVE LOGITS
     shoes
    0.74
     wrestle
    0.70
    shoes
    0.68
     wrestling
    0.68
     wrestler
    0.66
    Shoes
    0.66
     Shoes
    0.65
     veteran
    0.61
    ons
    0.59
     Wrestling
    0.59
    Activations Density 0.376%

    No Known Activations