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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 5204
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    terms related to lakes and aquatic environments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_14/width_16k/average_l0_84
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DHL
    -0.62
    ijuana
    -0.59
     mưa
    -0.59
     SDLK
    -0.59
     gió
    -0.59
     Simpli
    -0.59
     کرمان
    -0.59
     Benfica
    -0.58
    wur
    -0.58
    بالإنجليزية
    -0.57
    POSITIVE LOGITS
     lake
    1.70
     lakes
    1.62
     Lake
    1.61
    Lake
    1.52
     LAKE
    1.41
     Lakes
    1.36
    Lakes
    1.33
    lake
    1.28
    湖
    1.19
    lakes
    1.18
    Activations Density 0.399%

    No Known Activations