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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 16072
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    Explanations

    mentions of reclining chairs 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 @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Personendaten
    -0.61
    참고
    -0.50
    AddTagHelper
    -0.46
     Roskov
    -0.45
    PropertyChanging
    -0.45
     <<<<<<<<<<<<<<
    -0.44
     useAppContext
    -0.44
    matchCondition
    -0.44
    AlterField
    -0.44
    SafeMath
    -0.44
    POSITIVE LOGITS
     chair
    1.98
     seat
    1.91
     chairs
    1.84
     seats
    1.77
     Chair
    1.59
     CHAIR
    1.57
    chair
    1.56
     Chairs
    1.55
    Chair
    1.53
     Seat
    1.50
    Activations Density 0.314%

    No Known Activations