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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 14258
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    elements of personal growth and development journeys

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Tembelea
    -0.57
    Personendaten
    -0.56
    Autoritní
    -0.55
    \{\\
    -0.52
    enterOuterAlt
    -0.50
    :✨
    -0.50
    Diwedd
    -0.46
    IVEREF
    -0.45
     Numerade
    -0.44
    riever
    -0.43
    POSITIVE LOGITS
     along
    3.31
    Along
    3.02
     Along
    3.00
    along
    2.83
     ALONG
    2.66
     entlang
    2.17
    沿
    2.14
     вдоль
    1.84
     lungo
    1.80
    沿着
    1.57
    Activations Density 0.600%

    No Known Activations