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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 11641
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    Explanations

    references to juice and cheese in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    참고
    -0.44
    WebServlet
    -0.44
     MainAxisSize
    -0.44
     utafitiHapana
    -0.44
     clay
    -0.43
    ynb
    -0.41
    expandindo
    -0.41
    eqref
    -0.40
     dispersal
    -0.40
     arcilla
    -0.39
    POSITIVE LOGITS
     juice
    0.93
    Juice
    0.89
     Juice
    0.88
    juice
    0.85
     squeeze
    0.81
    cheese
    0.77
     cheese
    0.76
    Cheese
    0.71
     squeezed
    0.71
     Cheese
    0.70
    Activations Density 0.083%

    No Known Activations