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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 12490
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    Explanations

    quantitative measurements and numeric data

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     alegría
    -0.38
     obligado
    -0.35
     interesado
    -0.35
     campamento
    -0.34
     idéale
    -0.34
     tranquilidad
    -0.34
     maravillosa
    -0.33
     reconocida
    -0.33
     entsch
    -0.32
     adquirido
    -0.32
    POSITIVE LOGITS
     multi
    0.69
    setVerticalGroup
    0.67
     Multi
    0.62
     MULT
    0.56
    Multi
    0.55
    енча
    0.55
    JAKARTA
    0.54
     faſt
    0.54
     MULTI
    0.54
     multic
    0.53
    Activations Density 0.526%

    No Known Activations