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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. 9585
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    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
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    No Comments

    Negative Logits
     autorytatywna
    -0.52
     voluntary
    -0.44
    Documentary
    -0.44
    inSlope
    -0.43
    RTDA
    -0.43
    umenical
    -0.42
     gliss
    -0.41
     voluntarily
    -0.40
     volunt
    -0.40
    oluntary
    -0.40
    POSITIVE LOGITS
     problemer
    0.63
    の原因
    0.62
     colpa
    0.60
     Problemen
    0.59
     problems
    0.58
     probleem
    0.54
    ปัญหา
    0.54
     problem
    0.53
     Ursachen
    0.52
     problemen
    0.52
    Activations Density 0.434%

    No Known Activations