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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. 3-RES-JB
    11. 6150
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    Explanations

    descriptions of incidents involving men or males being harmed or involved in crimes

    oai_token-act-pair · gpt-3.5-turbo

    references to male individuals, particularly in the context of crime or violence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aeda
    -0.86
    ysical
    -0.79
    ocobo
    -0.75
    çļ
    -0.74
    ocratic
    -0.72
    ellect
    -0.71
    erenn
    -0.71
    DragonMagazine
    -0.69
    æ©Ł
    -0.69
    ffee
    -0.68
    POSITIVE LOGITS
    hunt
    1.02
     assailant
    0.90
     accused
    0.86
     gunman
    0.83
     rapist
    0.82
     perpetrator
    0.82
     suspect
    0.80
     suspected
    0.79
     rapes
    0.79
     rampage
    0.78
    Activations Density 0.162%

    No Known Activations