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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 1087
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    Explanations

    references to eating or the act of taking bites

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_3/width_16k/average_l0_59
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    GoogleMap
    -0.73
     Martens
    -0.67
     Kurtz
    -0.66
     mxArray
    -0.63
     Gymnas
    -0.63
    herjee
    -0.62
    heil
    -0.61
    avadoc
    -0.61
     monti
    -0.61
     Dolan
    -0.61
    POSITIVE LOGITS
     Bite
    0.99
     probes
    0.97
     Shy
    0.96
     bites
    0.94
     bite
    0.91
     shy
    0.91
     refra
    0.89
     hinting
    0.83
     probe
    0.82
     Probes
    0.82
    Activations Density 0.143%

    No Known Activations