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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 7851
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    Explanations

    terms related to age, specifically referencing elderly individuals and older adults

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    the word "elderly" or "older" in contexts describing aging populations and age-related conditions.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/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.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    PyExc
    -0.53
     ivelany
    -0.46
    putExtra
    -0.44
     NgModule
    -0.43
     kaarangay
    -0.42
     OFDb
    -0.41
    TestTools
    -0.41
     externi
    -0.40
    Diweddarwch
    -0.40
     autorytatywna
    -0.40
    POSITIVE LOGITS
     statesman
    0.59
     statesmen
    0.50
     age
    0.50
    Older
    0.50
     fashioned
    0.49
    Age
    0.47
    vejec
    0.45
     (>
    0.42
    Mature
    0.41
    fashioned
    0.41
    Activations Density 0.141%

    No Known Activations