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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 1196
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    Explanations

    references to elderly individuals and their associated health conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     poser
    -0.29
     crescere
    -0.29
     gynhyrchwyd
    -0.29
     unicorn
    -0.29
     Niño
    -0.28
    melse
    -0.28
    nalpot
    -0.28
     talent
    -0.28
     em
    -0.28
     buzz
    -0.28
    POSITIVE LOGITS
     Elderly
    1.27
     elderly
    1.22
    👵
    1.11
     retirees
    1.09
     retired
    1.09
    elderly
    1.09
     pensioners
    1.09
     Retired
    1.07
    Retired
    1.07
    retired
    1.05
    Activations Density 0.443%

    No Known Activations