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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. 18429
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    Explanations

    information and threats in written text

    oai_token-act-pair · gpt-3.5-turbo

    instances of harm or threats in various contexts

    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
    uph
    -0.69
     Whitman
    -0.66
    ¥µ
    -0.65
    kees
    -0.64
     assigns
    -0.63
     someday
    -0.63
     endeavors
    -0.63
    utical
    -0.62
     sails
    -0.62
     evaluates
    -0.61
    POSITIVE LOGITS
    ccording
    0.88
    Labour
    0.86
    Ireland
    0.86
    Britain
    0.85
    However
    0.84
    Aust
    0.83
    BBC
    0.82
    Writing
    0.79
    Speaking
    0.78
    Yesterday
    0.78
    Activations Density 0.538%

    No Known Activations