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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. 37688
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    INDEX
    Explanations

    references to specific professions, particularly those related to hairdressing

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

    Barber or cerebellum or Clipper

    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
     plutonium
    -0.49
     Clu
    -0.44
     Outlook
    -0.43
    Nix
    -0.42
    Outlook
    -0.42
    sponsor
    -0.41
    RTEX
    -0.41
     EAC
    -0.41
     Lusaka
    -0.41
    ervlak
    -0.41
    POSITIVE LOGITS
     Barber
    2.34
    Barber
    2.14
     barber
    1.97
    barber
    1.80
     barbers
    1.62
     barbershop
    1.33
    💈
    0.91
     hairdresser
    0.84
     Barbier
    0.71
     shaving
    0.69
    Activations Density 0.004%

    No Known Activations