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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 84465
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    INDEX
    Explanations

    terms related to career progression and advancement

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

    career advancement

    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-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
     campione
    -0.39
    requestCode
    -0.38
    alter
    -0.37
     begründet
    -0.37
    oler
    -0.37
    uchter
    -0.37
     Lasse
    -0.36
     подо
    -0.36
     euth
    -0.36
     χ
    -0.36
    POSITIVE LOGITS
     career
    0.77
     carrière
    0.77
    career
    0.76
    Career
    0.75
     Career
    0.71
     CAREER
    0.71
     carriera
    0.69
     Karriere
    0.68
     carreira
    0.65
     carrera
    0.63
    Activations Density 0.079%

    No Known Activations