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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. 5-RES-JB
    6. 4291
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    Explanations

    words related to behaviors or ideas that are opposed to social norms or expected conduct

    oai_token-act-pair · gpt-3.5-turbo

    terms related to antisocial behavior or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Duchess
    -0.92
    lly
    -0.75
     Penet
    -0.72
    ity
    -0.68
    È
    -0.67
    ã쮿
    -0.66
     Thumbnails
    -0.65
     Falls
    -0.64
     HRC
    -0.64
     Sultan
    -0.62
    POSITIVE LOGITS
    pace
    1.20
    ocial
    1.17
    uit
    1.13
    ystem
    1.02
    creen
    1.02
    paces
    1.02
    uits
    0.98
    peed
    0.98
    hirt
    0.96
    leep
    0.96
    Activations Density 0.054%

    No Known Activations