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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 1324
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    Explanations

    references to furniture, especially 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 @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    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
    -0.48
     defaultstate
    -0.48
    rawDesc
    -0.45
    참고
    -0.45
     esternos
    -0.43
     DialogInterface
    -0.41
    AddTagHelper
    -0.41
    enziali
    -0.41
     Diſ
    -0.40
    modelBuilder
    -0.39
    POSITIVE LOGITS
     chair
    2.41
     chairs
    2.23
     Chair
    2.05
     CHAIR
    1.99
    Chair
    1.96
    chair
    1.95
     Chairs
    1.95
    chairs
    1.72
    Chairs
    1.69
     seat
    1.62
    Activations Density 0.223%

    No Known Activations