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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. 7-RES-JB
    6. 8163
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    INDEX
    Explanations

    topics related to crime, including sexual crimes, fraud, and corruption

    oai_token-act-pair · gpt-3.5-turbo

    terms related to criminal and social issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aceae
    -0.80
    ortium
    -0.74
    DonaldTrump
    -0.73
     Alphabet
    -0.71
     Veter
    -0.68
    ĸļ
    -0.68
     nomine
    -0.66
    ORGE
    -0.65
    retty
    -0.64
    cients
    -0.63
    POSITIVE LOGITS
     alike
    0.86
     theft
    0.75
    esity
    0.71
     loss
    0.70
     disorders
    0.69
     aggression
    0.69
     suppression
    0.68
     impair
    0.67
     breakdown
    0.66
     failures
    0.66
    Activations Density 0.412%

    No Known Activations