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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. 13349
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    Explanations

    references to specific streets and belts

    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
    appointments
    -0.57
    Appointments
    -0.56
     Taught
    -0.56
    taught
    -0.53
     Appointments
    -0.51
     Projection
    -0.51
     OMITBAD
    -0.49
    richTextPanel
    -0.48
     projection
    -0.48
    XtraReports
    -0.48
    POSITIVE LOGITS
     belt
    0.58
     street
    0.52
    Street
    0.51
     Street
    0.51
    belt
    0.50
    street
    0.50
    街
    0.44
     STREET
    0.43
    Belt
    0.42
     belts
    0.41
    Activations Density 0.279%

    No Known Activations