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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 12856
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    terms related to hunting and wildlife

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     שוליים
    -0.38
     ddelweddau
    -0.37
     Hivatalos
    -0.37
     bebés
    -0.36
     بحر
    -0.36
    原始内容存档于
    -0.36
     galvan
    -0.35
     BEACH
    -0.34
     Infants
    -0.34
    hoeddwyd
    -0.34
    POSITIVE LOGITS
     hunting
    2.28
     hunters
    2.08
     hunt
    2.00
     Hunting
    1.98
     hunter
    1.93
    Hunting
    1.93
    hunting
    1.91
     hunts
    1.84
     hunted
    1.83
     HUNT
    1.79
    Activations Density 0.264%

    No Known Activations