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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 41-GEMMASCOPE-RES-16K
    11. 9594
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    Explanations

    references to furniture, specifically recliners and their features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 41-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_41/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.41.hook_resid_post
    Hook Layer
    41
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    HasAnnotation
    -0.46
    modelBuilder
    -0.43
     esternos
    -0.40
    rawDesc
    -0.40
     useAppContext
    -0.39
    RTHOOK
    -0.38
     AssemblyCulture
    -0.37
    ']>;
    -0.36
     chimneys
    -0.36
    SafeMath
    -0.35
    POSITIVE LOGITS
     chairs
    1.43
     chair
    1.40
     Chairs
    1.19
     recliner
    1.18
     CHAIR
    1.15
     armchair
    1.13
     Chair
    1.13
     reclin
    1.11
     sofa
    1.09
    chair
    1.09
    Activations Density 0.270%

    No Known Activations