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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 5169
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    terms related to hunting and wildlife management

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     yogur
    -0.39
    Besos
    -0.37
    catraz
    -0.35
     BEACH
    -0.35
     bebés
    -0.34
     ddelweddau
    -0.34
     Hivatalos
    -0.34
    ôtel
    -0.33
     fromage
    -0.33
     aguacate
    -0.33
    POSITIVE LOGITS
     hunting
    1.82
     hunters
    1.59
     Hunting
    1.54
    hunting
    1.53
    Hunting
    1.51
     hunt
    1.48
     hunts
    1.42
     hunter
    1.41
     hunted
    1.37
     HUNT
    1.30
    Activations Density 0.145%

    No Known Activations