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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. 7780
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    INDEX
    Explanations

    mentions of a specific location or organization, specifically "Stub Hub"

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific venue or location

    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
     Dragonbound
    -0.74
    hole
    -0.67
    warming
    -0.66
     Comet
    -0.65
     Sparrow
    -0.63
     Patel
    -0.63
     Palmer
    -0.63
    holes
    -0.62
     Hole
    -0.62
     Hath
    -0.61
    POSITIVE LOGITS
    _-
    0.93
    olicy
    0.86
    igslist
    0.83
    onge
    0.79
    rants
    0.78
    yz
    0.77
    ymes
    0.76
    inant
    0.76
    pport
    0.76
    inces
    0.76
    Activations Density 0.056%

    No Known Activations