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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 10870
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    information related to nature trails and outdoor activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     NYPD
    -0.54
    nyc
    -0.54
     Philadelphia
    -0.54
     Westchester
    -0.53
     Atlanta
    -0.52
     Broward
    -0.51
     Soho
    -0.50
     Boston
    -0.49
     NYC
    -0.48
     NYU
    -0.48
    POSITIVE LOGITS
     prairie
    0.88
    Iowa
    0.84
     Iowa
    0.84
    Prairie
    0.80
     Nebraska
    0.73
     prairies
    0.71
     Prairie
    0.70
     Amish
    0.70
     Platte
    0.70
    Nebraska
    0.70
    Activations Density 0.506%

    No Known Activations