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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 15990
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    Explanations

    references to the concept of "bearing" or "carrying," including its use in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_0/width_16k/average_l0_105
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     <<<<<<<<<<<<<<
    -0.78
     GenerationType
    -0.63
    PhysRev
    -0.55
    ynb
    -0.55
     HasFactory
    -0.55
     Marques
    -0.53
    kloped
    -0.53
     mapStateToProps
    -0.52
    MessageTagHelper
    -0.51
    nestjs
    -0.51
    POSITIVE LOGITS
    tagHelperRunner
    0.65
     bear
    0.63
     obligation
    0.62
    acic
    0.60
    جغرافيا
    0.60
    ADIAN
    0.59
     获取
    0.57
     drame
    0.57
    api
    0.57
    ècie
    0.56
    Activations Density 0.132%

    No Known Activations