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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 10378
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    Explanations

    references to physical body parts, specifically arms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AnchorTagHelper
    -0.61
    Parcelize
    -0.46
     cherchés
    -0.43
     समीक्षाओं
    -0.42
     jugement
    -0.42
    $_['
    -0.41
    ांकि
    -0.41
     goût
    -0.41
    webElementXpaths
    -0.41
    FormTagHelper
    -0.40
    POSITIVE LOGITS
     pans
    0.59
    ingual
    0.56
     fatigue
    0.56
     arm
    0.55
     arms
    0.53
     fatigu
    0.52
     Fatigue
    0.50
     tiered
    0.50
     fatig
    0.50
    pozdrawiam
    0.50
    Activations Density 0.304%

    No Known Activations