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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 1776
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    INDEX
    Explanations

    attributes and qualities related to professionalism and cleanliness

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

    positive personality traits

    np_acts-logits-general · gemini-2.0-flash

    positive and negative qualities

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     utafitiHapana
    -0.89
    GEBURTSDATUM
    -0.58
     JpaRepository
    -0.52
     Wikimedijinoj
    -0.49
     препратки
    -0.48
     bastards
    -0.47
     Bastard
    -0.47
    CppMethod
    -0.46
     հղումներ
    -0.46
    iconque
    -0.45
    POSITIVE LOGITS
    明るく
    0.45
     bright
    0.44
     Lively
    0.42
    Fast
    0.39
    ɵɵelementStart
    0.39
    bright
    0.38
    lámpara
    0.38
     빠
    0.37
     sakin
    0.37
     fast
    0.37
    Activations Density 0.825%

    No Known Activations