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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. 1636
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    Explanations

    descriptions and references to various types of lighting

    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
     NSCoder
    -0.46
    AddTagHelper
    -0.36
    PrototypeOf
    -0.32
     mergeFrom
    -0.31
    atoday
    -0.31
    tanh
    -0.31
     final
    -0.30
    ptăm
    -0.30
    herren
    -0.29
    rolid
    -0.29
    POSITIVE LOGITS
     lighting
    1.08
     Lighting
    1.00
     illumination
    0.98
    Lighting
    0.97
     oświet
    0.96
     lights
    0.93
     Illumination
    0.91
     éclairage
    0.91
     lamps
    0.89
    照明
    0.89
    Activations Density 0.260%

    No Known Activations