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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 6645
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    INDEX
    Explanations

    elements related to qualitative research methodologies and data collection processes

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

    Research and interviews using a specific methodology

    np_acts-logits-general · gemini-2.0-flash

    qualitative interviews

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atguigu
    -0.58
    SizeF
    -0.55
    wein
    -0.55
     beginnetje
    -0.54
    msgSender
    -0.53
     doInBackground
    -0.51
    endmodule
    -0.51
    haya
    -0.47
     Predic
    -0.47
     arqu
    -0.46
    POSITIVE LOGITS
     interviews
    1.38
     qualitative
    1.28
     interview
    1.28
     Interviews
    1.22
    Interviews
    1.19
     interviewing
    1.09
     Interview
    1.09
     Qualitative
    1.08
    interview
    1.07
    Interview
    1.06
    Activations Density 0.553%

    No Known Activations