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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 6339
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    references to medical treatment and its effectiveness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_12/width_16k/average_l0_130
    Prompts (Dashboard)
    24,576 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
     queſta
    -1.62
    <unused41>
    -1.52
    [@BOS@]
    -1.52
    <unused3>
    -1.52
    <unused43>
    -1.52
    <unused51>
    -1.52
    <unused28>
    -1.52
    <unused23>
    -1.52
    <unused8>
    -1.52
    <unused16>
    -1.52
    POSITIVE LOGITS
     
    0.67
      
    0.52
    ↵
    0.47
    0.45
     \
    0.44
     the
    0.42
    s
    0.39
    d
    0.36
    mathrm
    0.35
    t
    0.35
    Activations Density 19.843%
    No Known Activations