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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 9168
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    references to arms and armrests in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_12/width_16k/average_l0_82
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Kunt
    -0.81
     hunter
    -0.78
     GIPHY
    -0.75
     dante
    -0.75
     zx
    -0.74
     Keats
    -0.74
    ̷
    -0.73
    ν
    -0.71
     Kroger
    -0.71
     Gond
    -0.70
    POSITIVE LOGITS
     arm
    1.50
     Arm
    1.43
     arms
    1.32
     ARM
    1.31
     Arms
    1.25
    Arm
    1.25
     braço
    1.17
     brazo
    1.11
     ARMS
    1.11
     Sleeves
    1.11
    Activations Density 0.152%

    No Known Activations