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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 6-GEMMASCOPE-RES-16K
    11. 5865
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    references to cities, particularly various mentions and formats of "San Francisco" and "San Diego."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 6-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_6/width_16k/average_l0_70
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.6.hook_resid_post
    Hook Layer
    6
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Roskov
    -1.30
    InjectAttribute
    -1.14
    WebVitals
    -1.10
    VIAF
    -1.01
     itſelf
    -1.01
     myſelf
    -0.98
     defaultstate
    -0.96
     Huguen
    -0.95
     tartalomajánló
    -0.95
     Asturias
    -0.94
    POSITIVE LOGITS
     San
    2.13
    San
    1.85
     san
    1.65
     SAN
    1.56
    san
    1.46
    SAN
    1.40
     Сан
    1.13
     Sandi
    1.08
     Sanford
    1.07
     Sans
    1.00
    Activations Density 0.037%

    No Known Activations