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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. 5661
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    INDEX
    Explanations

    descriptions and concepts related to toughness and harshness

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

    "Tough" or "harsh" qualities

    np_acts-logits-general · gemini-2.0-flash

    toughness harshness

    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
    存于互联网档案馆
    -0.52
     iprot
    -0.49
    verwijspagina
    -0.49
     nahilalakip
    -0.47
    expandindo
    -0.47
    AnchorStyles
    -0.44
    ⟬
    -0.44
    </tfoot>
    -0.44
     viewDidLoad
    -0.44
     '\\;'
    -0.43
    POSITIVE LOGITS
     tough
    1.64
    Tough
    1.58
     Tough
    1.55
    tough
    1.55
     tougher
    1.37
     harsh
    1.30
     toughest
    1.27
     rough
    1.19
    Harsh
    1.16
     Rough
    1.13
    Activations Density 0.301%

    No Known Activations