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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 13048
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    INDEX
    Explanations

    attributes and characteristics of individuals, objects, or concepts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    thinness or sparseness

    np_acts-logits-general · gemini-2.0-flash

    slimness and slenderness

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     Савезне
    -0.49
    closeButton
    -0.49
     domesticated
    -0.49
     sessile
    -0.48
     close
    -0.47
     gruesa
    -0.47
     térmico
    -0.47
    Closer
    -0.45
     static
    -0.44
     locally
    -0.43
    POSITIVE LOGITS
     airy
    0.75
     thin
    0.69
     Thin
    0.66
    Thin
    0.62
     thinly
    0.52
    thin
    0.52
     slender
    0.52
     lightness
    0.52
     slim
    0.51
     skinny
    0.51
    Activations Density 0.842%

    No Known Activations