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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 15010
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    Explanations

    references to various types and uses of beds and bedding

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pip
    -0.38
     via
    -0.37
     gim
    -0.36
     conv
    -0.35
     High
    -0.35
     Low
    -0.35
    ln
    -0.35
     enam
    -0.35
    Practical
    -0.34
     prop
    -0.34
    POSITIVE LOGITS
     bed
    1.10
     Bed
    0.93
    Bed
    0.90
     BED
    0.86
     beds
    0.85
    bed
    0.83
    beds
    0.82
     Beds
    0.80
    BED
    0.76
     bedded
    0.76
    Activations Density 0.244%

    No Known Activations