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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. 10446
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    terms related to medical evaluations and injuries

    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
    WebElementEntity
    -0.59
    Personendaten
    -0.57
     autorytatywna
    -0.56
    fjspx
    -0.54
    enumii
    -0.53
    tangentMode
    -0.52
    UnusedPrivate
    -0.52
     HasFactory
    -0.51
    UserScript
    -0.51
    IsMutable
    -0.50
    POSITIVE LOGITS
     sidelined
    0.93
     missed
    0.86
     injured
    0.82
     injury
    0.77
     misses
    0.76
     rehab
    0.74
     miss
    0.73
     Injured
    0.71
     missing
    0.70
     precautionary
    0.68
    Activations Density 0.180%

    No Known Activations