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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 7959
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    Explanations

    references to concrete material

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 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
    Personendaten
    -0.61
    RDONLY
    -0.58
    ContentAsync
    -0.57
    posedge
    -0.56
    RuleContext
    -0.55
     triom
    -0.52
     Exactos
    -0.51
     Roskov
    -0.48
     defaultstate
    -0.48
    outes
    -0.47
    POSITIVE LOGITS
    concrete
    0.70
     concrete
    0.69
    ting
    0.68
    Concrete
    0.66
     Kal
    0.66
     Concrete
    0.63
    Kal
    0.61
     spells
    0.57
     formulation
    0.57
     arm
    0.54
    Activations Density 0.104%

    No Known Activations