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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. 5718
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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 @ 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
     lingü
    -0.31
     religione
    -0.31
     agrícolas
    -0.30
     bordada
    -0.30
     céré
    -0.29
     Segen
    -0.29
     scolaire
    -0.29
     dignité
    -0.28
    Laundry
    -0.28
     alimentaria
    -0.28
    POSITIVE LOGITS
     glass
    2.48
    glass
    2.17
     Glass
    2.13
    Glass
    2.09
     GLASS
    2.03
    GLASS
    1.87
    玻璃
    1.84
     glas
    1.63
    ガラス
    1.63
     vidrio
    1.62
    Activations Density 0.408%

    No Known Activations