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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 4466
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    terms related to urban development and downtown areas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_12/width_16k/average_l0_130
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     poffible
    -0.61
     Perſ
    -0.60
     Diſ
    -0.54
     raiſ
    -0.54
     Houſe
    -0.53
     Anſ
    -0.53
     laſt
    -0.53
     myſelf
    -0.52
     Reſ
    -0.52
     perſ
    -0.51
    POSITIVE LOGITS
     downtown
    0.98
     Downtown
    0.91
    Downtown
    0.86
    downtown
    0.84
     Innenstadt
    0.51
     Altstadt
    0.37
    RuleContext
    0.36
    中心
    0.36
    rono
    0.34
     центре
    0.33
    Activations Density 0.305%

    No Known Activations