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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. 82179
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    INDEX
    Explanations

    references to "Cal" and its variations in the context of educational institutions or programs

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

    words starting with Cal

    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
    engager
    -0.51
    ısında
    -0.45
     most
    -0.45
    fromnode
    -0.42
    temun
    -0.41
     partner
    -0.41
     present
    -0.41
    antMatchers
    -0.40
     ventr
    -0.40
     leader
    -0.40
    POSITIVE LOGITS
     Cal
    1.98
    Cal
    1.96
     cal
    1.64
     CAL
    1.48
    cal
    1.45
    CAL
    1.34
     Calder
    1.14
     Calhoun
    1.08
     Calvert
    1.01
     Callahan
    0.99
    Activations Density 0.014%

    No Known Activations