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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 923
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    Explanations

    terms related to negative connotations or derogatory expressions

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "moron."

    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
    BOOK
    -0.80
    ACTED
    -0.67
    orney
    -0.64
    payer
    -0.64
    XY
    -0.63
     Wheeler
    -0.62
     Hawaiian
    -0.62
    ECH
    -0.61
    sets
    -0.60
    Seattle
    -0.60
    POSITIVE LOGITS
    gue
    1.06
    aceutical
    0.99
    gage
    0.92
     mor
    0.91
    iday
    0.86
    ose
    0.82
    idian
    0.81
    icultural
    0.80
    itary
    0.79
    phe
    0.79
    Activations Density 0.008%

    No Known Activations