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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. 6-RES-JB
    11. 13837
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    INDEX
    Explanations

    mentions of actions or descriptions related to misconduct

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "foul" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    _>
    -0.79
    edia
    -0.78
    akeru
    -0.75
    UNCH
    -0.72
    aeda
    -0.70
    hare
    -0.69
    Downloadha
    -0.69
    igslist
    -0.67
    ppelin
    -0.67
    ocobo
    -0.67
    POSITIVE LOGITS
    cery
    0.91
    terness
    0.83
     smelling
    0.82
     foul
    0.82
    s
    0.77
    sie
    0.75
    nesses
    0.73
     misc
    0.71
    weather
    0.70
    ness
    0.67
    Activations Density 0.013%

    No Known Activations