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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 9708
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    Explanations

    references to specific cities, particularly those with "San" in their names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_15/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    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
    -1.08
    WebVitals
    -1.03
    InjectAttribute
    -0.86
     tartalomajánló
    -0.86
    Salle
    -0.84
     Verso
    -0.83
     Jokowi
    -0.83
     againſt
    -0.83
     betweenstory
    -0.81
     jLabel
    -0.81
    POSITIVE LOGITS
     San
    1.28
    San
    1.10
     SAN
    1.08
     san
    1.02
    SAN
    0.98
     Sanford
    0.96
     Sandi
    0.96
    san
    0.89
     Sanctions
    0.82
     Sanderson
    0.80
    Activations Density 0.127%

    No Known Activations