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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 7485
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    references to medical conditions and their treatments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rungsseite
    -0.99
    ſſung
    -0.94
    <pad>
    -0.93
    [@BOS@]
    -0.93
    sizeCache
    -0.93
    <unused42>
    -0.93
    <unused51>
    -0.93
    <unused43>
    -0.93
    <unused14>
    -0.93
    <unused41>
    -0.93
    POSITIVE LOGITS
    <eos>
    0.49
    ↵↵
    0.30
    ↵
    0.29
    The
    0.28
    Face
    0.27
    <h1>
    0.26
    (
    0.26
    .
    0.25
     
    0.24
      
    0.24
    Activations Density 0.982%

    No Known Activations