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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 4983
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    Explanations

    terms related to conditions, regulations, and their implications

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

    ending in "tive", "ative", "tively", or "atively"

    np_acts-logits-general · gemini-2.0-flash

    tive or tively endings

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tagHelperRunner
    -0.81
    Бахар
    -0.77
    uxxxx
    -0.72
    Vidite
    -0.70
     disambiguazione
    -0.69
    +#+#
    -0.67
    脚注の使い方
    -0.67
    __":
    -0.67
     ModelExpression
    -0.65
    saraba
    -0.64
    POSITIVE LOGITS
    tive
    1.13
    tives
    1.07
    ative
    1.07
    ATIVE
    1.05
    atives
    1.04
     tive
    0.99
    itive
    0.97
    tively
    0.95
    ive
    0.95
    atively
    0.94
    Activations Density 0.230%

    No Known Activations