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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. 8570
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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 @ 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
     newArr
    -0.49
    Personendaten
    -0.48
     getAge
    -0.47
     menuItem
    -0.45
     getPlayer
    -0.44
    parsedMessage
    -0.41
     getColumn
    -0.40
     getNode
    -0.40
     getLogin
    -0.40
     للاسماء
    -0.39
    POSITIVE LOGITS
     restrictions
    0.68
     priority
    0.67
     priorities
    0.66
     description
    0.63
     maximum
    0.61
     constraints
    0.60
     caveats
    0.58
     exclusions
    0.58
     minimum
    0.57
     weighting
    0.57
    Activations Density 1.570%

    No Known Activations