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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 399
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    Explanations

    names of historical locations or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    San Francisco or Oakland locations

    np_acts-logits-general · gemini-2.0-flash

    San Francisco

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fjspx
    -0.70
     محفوظة
    -0.67
     createSlice
    -0.60
    MLLoader
    -0.56
    下载附件
    -0.56
    tagHelperRunner
    -0.54
     кло
    -0.54
    OGND
    -0.54
    ẢN
    -0.53
    tableFuture
    -0.53
    POSITIVE LOGITS
     Oakland
    1.14
    Oakland
    1.01
     Berkeley
    1.01
     Alameda
    0.96
     Bay
    0.95
     BART
    0.91
     Contra
    0.87
    Berkeley
    0.87
     Livermore
    0.84
     BERKELEY
    0.83
    Activations Density 0.210%

    No Known Activations