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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. 98714
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    Explanations

    references to specific individuals and events associated with massacres

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

    Dixon, massacre

    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
    ########.
    -0.51
    Erreferentziak
    -0.48
     pleaſure
    -0.47
    verständlich
    -0.44
     ſtre
    -0.43
    Tracce
    -0.42
     ſtate
    -0.42
     ſa
    -0.42
    Phys
    -0.42
    AxisAlignment
    -0.42
    POSITIVE LOGITS
     Dixon
    0.87
    Dixon
    0.80
     Massacre
    0.75
     massacre
    0.74
     Regal
    0.68
    ceğine
    0.60
    ---*/
    0.59
    西
    0.59
     massacres
    0.55
    Rüyada
    0.54
    Activations Density 0.007%

    No Known Activations