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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 15082
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    Explanations

    descriptive language related to vehicle design and aesthetics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     cincin
    -0.39
    发表于
    -0.38
    Trama
    -0.36
    즌
    -0.33
    ustimmung
    -0.32
     currencies
    -0.32
     sterilization
    -0.31
    ạc
    -0.31
     povezave
    -0.31
     Diagnos
    -0.31
    POSITIVE LOGITS
     body
    0.87
     fender
    0.84
     hood
    0.78
     fenders
    0.76
     bumper
    0.76
     spoiler
    0.74
     bodys
    0.74
    body
    0.74
     Body
    0.73
     panels
    0.70
    Activations Density 0.209%

    No Known Activations