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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 12089
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    INDEX
    Explanations

    descriptors of physical attributes, particularly related to thinness and lightness

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    Jîn
    -0.59
    IsMutable
    -0.59
    脚注の使い方
    -0.59
     мәкал
    -0.54
     gethan
    -0.52
     térmico
    -0.51
     Савезне
    -0.51
    usitis
    -0.50
    orologio
    -0.50
     varmt
    -0.50
    POSITIVE LOGITS
     thin
    0.90
     Thin
    0.81
    Thin
    0.74
    thin
    0.69
     airy
    0.63
     slim
    0.63
     thinner
    0.63
     slender
    0.59
     skinny
    0.59
     thinned
    0.59
    Activations Density 0.469%

    No Known Activations