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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. 3014
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    Explanations

    proper nouns, specifically names of individuals or organizations

    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
    parken
    -0.53
     Hitam
    -0.52
     Putih
    -0.51
     Ström
    -0.50
     flechas
    -0.49
     econômica
    -0.49
    hallen
    -0.47
     Stirn
    -0.46
     gavetas
    -0.46
     braço
    -0.46
    POSITIVE LOGITS
    mann
    0.67
     mann
    0.48
    ke
    0.47
    berger
    0.46
     lein
    0.46
    hammer
    0.45
    acher
    0.45
    man
    0.45
    hardt
    0.44
     seaborn
    0.44
    Activations Density 0.416%

    No Known Activations