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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 3801
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    Explanations

    mentions of professional qualifications and expertise

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AnchorStyles
    -0.48
    abetes
    -0.44
    titleMargin
    -0.44
    Organisateur
    -0.44
    VersionUID
    -0.43
    IsMutable
    -0.43
     wireType
    -0.42
    medriver
    -0.39
     ModelExpression
    -0.39
     allAfrica
    -0.38
    POSITIVE LOGITS
     expert
    2.61
     experts
    2.39
    expert
    2.30
     experienced
    2.30
     Expert
    2.09
    experienced
    2.06
    experts
    2.06
    Expert
    2.06
     skilled
    2.05
     EXPERT
    2.02
    Activations Density 0.665%

    No Known Activations