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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 2525
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    Explanations

    references to beds or bedding

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     beds
    -0.55
    床
    -0.54
     bed
    -0.51
    ベッド
    -0.49
     Autorizaciones
    -0.49
    Autoritní
    -0.48
     floor
    -0.48
    tymologie
    -0.47
     Floor
    -0.46
    beds
    -0.46
    POSITIVE LOGITS
    cover
    0.49
    pan
    0.49
    pans
    0.49
    sores
    0.48
     coverings
    0.44
    covers
    0.44
    linen
    0.44
     linen
    0.43
    clothes
    0.42
    spread
    0.42
    Activations Density 0.216%

    No Known Activations