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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 8100
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    Explanations

    various forms of the word "thin" and its related terms

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

    "thin"

    np_acts-logits-general · gemini-2.0-flash

    thinness

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    \{\\
    -0.57
     الرياضيه
    -0.44
    ContentLoaded
    -0.44
     Chwiliwch
    -0.44
    ⓧ
    -0.42
    Tikang
    -0.40
    getSeconds
    -0.40
     coel
    -0.40
    сылкі
    -0.40
    뀜
    -0.40
    POSITIVE LOGITS
     Thin
    0.93
    Thin
    0.86
     thin
    0.84
     thinning
    0.69
     Slim
    0.68
     sottile
    0.68
     thinner
    0.67
    thin
    0.66
    Slim
    0.64
     Skinny
    0.61
    Activations Density 0.112%

    No Known Activations