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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 632
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    terms related to qualifications or attributes within a legal or technical context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     chair
    -0.56
     Chair
    -0.53
     Id
    -0.51
     door
    -0.50
     detail
    -0.50
     fray
    -0.49
    Chair
    -0.48
     ID
    -0.45
     dar
    -0.45
    chair
    -0.45
    POSITIVE LOGITS
     attributes
    1.01
     qualified
    0.90
     qualifications
    0.89
     attribute
    0.88
     attributed
    0.85
     qualification
    0.85
     attribué
    0.79
    attributes
    0.78
     accredited
    0.75
     attribut
    0.75
    Activations Density 0.345%

    No Known Activations