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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 7151
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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     bicchiere
    -0.68
     cervello
    -0.59
     tramonto
    -0.57
     benessere
    -0.54
     linguaggio
    -0.53
     cucchiaio
    -0.53
     paesaggio
    -0.52
     segnale
    -0.52
     quartiere
    -0.52
     frattempo
    -0.52
    POSITIVE LOGITS
     Waldo
    0.71
    ingo
    0.65
     Duro
    0.64
     Caro
    0.63
    Xeno
    0.63
    techno
    0.61
     Sino
    0.61
    Caro
    0.60
     Mero
    0.60
    tero
    0.60
    Activations Density 0.774%

    No Known Activations