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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 6605
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    Explanations

    phrases indicating a strong request or plea

    oai_token-act-pair · gpt-3.5-turbo

    the word "beg" and its variations, indicating a focus on requests or pleas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cheong
    -0.73
     Scotia
    -0.72
     Ion
    -0.71
     Citizens
    -0.66
    visors
    -0.64
    ity
    -0.63
    cyclop
    -0.62
     Eisenhower
    -0.61
    ç¥ŀ
    -0.61
     McMahon
    -0.61
    POSITIVE LOGITS
     begging
    1.03
    otten
    0.96
     pardon
    0.84
    FontSize
    0.84
    asus
    0.83
    ingly
    0.81
     begs
    0.79
    tale
    0.77
     beg
    0.75
    mares
    0.73
    Activations Density 0.015%

    No Known Activations