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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 453
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    Explanations

    quantitative data and numerical contributions, often relating to volunteer hours and donations

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

    Numbers in the thousands

    np_acts-logits-general · gemini-2.0-flash

    numbers ending in k or thousand

    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
    mybatisplus
    -0.55
     Roskov
    -0.53
     do
    -0.48
     OMITBAD
    -0.48
     kasarigan
    -0.47
    abar
    -0.46
    Bits
    -0.45
    億
    -0.44
     Mr
    -0.43
    pyx
    -0.42
    POSITIVE LOGITS
     thousand
    1.12
     thousands
    1.02
     Thousand
    0.93
    thousand
    0.91
    thousands
    0.89
     thou
    0.87
     THOUS
    0.87
     thous
    0.84
    Thousand
    0.84
     Thousands
    0.83
    Activations Density 0.630%

    No Known Activations