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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 12554
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    Explanations

    features and characteristics of outdoor and convertible spaces

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     puntas
    -0.38
    amssymb
    -0.33
     karş
    -0.32
    lámpara
    -0.31
     denso
    -0.31
    padek
    -0.31
     cabezas
    -0.30
     lentejuelas
    -0.30
     tiroirs
    -0.29
     lámparas
    -0.29
    POSITIVE LOGITS
     outdoor
    1.39
     outdoors
    1.34
    outdoor
    1.23
     Outdoor
    1.23
    Outdoor
    1.22
     Outdoors
    1.09
    户外
    0.93
    windowFixed
    0.87
     patio
    0.84
    屋外
    0.82
    Activations Density 0.186%

    No Known Activations