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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 13185
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    Explanations

    references to environmental management and contamination issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     autorytatywna
    -0.52
    LookAnd
    -0.48
     resourceCulture
    -0.47
    complexContent
    -0.45
    XmlAccessorType
    -0.45
    sidemargin
    -0.43
     gebeten
    -0.43
     menjal
    -0.40
    /**
    -0.40
     Autorisations
    -0.40
    POSITIVE LOGITS
     remediation
    0.98
     cleanup
    0.90
     Remediation
    0.88
     remedi
    0.84
     contaminated
    0.84
     contamination
    0.77
     contaminant
    0.77
     Cleanup
    0.77
     remedial
    0.76
    Cleanup
    0.75
    Activations Density 0.302%

    No Known Activations