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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. 60743
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    Explanations

    terms related to multi-dimensional or multi-faceted concepts

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

    multi- prefixed words

    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
    <bos>
    -0.56
    ecap
    -0.52
    coden
    -0.50
    PyExc
    -0.50
    StreetMap
    -0.50
    ATEN
    -0.50
    aten
    -0.50
    gens
    -0.49
    zaj
    -0.49
    een
    -0.48
    POSITIVE LOGITS
     multi
    1.54
     Multi
    1.16
    multi
    1.16
    Multi
    1.10
     MULTI
    1.02
    MULTI
    1.01
     MULT
    0.82
     multic
    0.81
    多
    0.79
     multiple
    0.76
    Activations Density 0.022%

    No Known Activations