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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 12165
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    Explanations

    references to streets and streetcars in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     himo
    -0.47
    ambi
    -0.45
    Atsauces
    -0.44
    quanto
    -0.43
     InputDecoration
    -0.42
    RTLR
    -0.42
     olympique
    -0.42
    maso
    -0.42
    Autoritní
    -0.41
     esternos
    -0.41
    POSITIVE LOGITS
     Street
    0.72
    Street
    0.70
     street
    0.67
     STREET
    0.64
    street
    0.64
    STREET
    0.63
     Streets
    0.57
    httphttps
    0.56
    weeper
    0.51
    Streets
    0.51
    Activations Density 0.045%

    No Known Activations