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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 2099
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    Explanations

    words and phrases related to body size and shape, particularly focusing on terms associated with fatness and slimness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Descriptors of body size and shape

    np_acts-logits-general · gemini-2.0-flash

    contrasting thin and fat dimensions

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    endphp
    -0.52
    Diweddarwch
    -0.51
    Tikang
    -0.48
    writeFieldEnd
    -0.48
     otomatig
    -0.48
    ädie
    -0.47
    sibili
    -0.46
     CURIAM
    -0.45
    ROY
    -0.45
     autorytatywna
    -0.45
    POSITIVE LOGITS
     thin
    0.76
     Thin
    0.71
     Slim
    0.68
     slim
    0.66
    Thin
    0.65
    Slim
    0.63
    skinny
    0.63
     sottile
    0.60
     skinny
    0.60
    thin
    0.59
    Activations Density 0.161%

    No Known Activations