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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 41-GEMMASCOPE-RES-16K
    11. 9074
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    Explanations

    descriptions of clothing and appearances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 41-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_41/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.41.hook_resid_post
    Hook Layer
    41
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ValueStyle
    -0.47
     createSlice
    -0.46
     Kebijakan
    -0.45
    esModule
    -0.43
    WEAR
    -0.40
     detaljer
    -0.40
     WEAR
    -0.40
    具
    -0.40
    lusconi
    -0.40
    AndEndTag
    -0.40
    POSITIVE LOGITS
     jeans
    0.68
     baggy
    0.65
     sweatpants
    0.64
     tight
    0.58
     shorts
    0.57
     tracksuit
    0.57
     flip
    0.56
     track
    0.56
     sweats
    0.56
     Hawaiian
    0.56
    Activations Density 0.204%

    No Known Activations