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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 12753
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    Explanations

    phrases related to injuries, particularly to the knee or other significant joint areas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CloseOperation
    -0.42
    tangentMode
    -0.41
     blessé
    -0.40
     ISNI
    -0.40
     Ruang
    -0.38
     mecánico
    -0.38
    miljø
    -0.37
    RenderAtEndOf
    -0.37
    KommentareTeilen
    -0.36
     refroid
    -0.36
    POSITIVE LOGITS
     torn
    0.77
     Torn
    0.70
    Torn
    0.69
    torn
    0.66
    mtrl
    0.57
     Achilles
    0.55
     tearing
    0.53
    separated
    0.51
     MCL
    0.50
     strained
    0.50
    Activations Density 0.568%

    No Known Activations