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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 21-GEMMASCOPE-RES-16K
    11. 13567
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    Explanations

    verbs and nouns related to clothing or what people are wearing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 21-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_21/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.21.hook_resid_post
    Hook Layer
    21
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    XmlType
    -0.56
    INSEE
    -0.51
    Grüsse
    -0.51
    PyExc
    -0.51
    HandlerContext
    -0.48
    StackNavigator
    -0.48
     Francois
    -0.48
    ApiModelProperty
    -0.48
     McF
    -0.48
    ResultCode
    -0.47
    POSITIVE LOGITS
     Wear
    0.85
    Wear
    0.83
     wear
    0.77
     WEAR
    0.75
    wear
    0.70
    wearing
    0.69
    Wearing
    0.68
     worn
    0.68
     Wearing
    0.63
     wore
    0.62
    Activations Density 0.148%

    No Known Activations