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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. 6-RES-JB
    6. 16508
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    Explanations

    dates mentioned in news articles

    oai_token-act-pair · gpt-3.5-turbo

    specific dates and deadlines in a document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tumblr
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    essors
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    notations
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    POSITIVE LOGITS
    externalActionCode
    0.95
    th
    0.79
     sidx
    0.75
    ths
    0.71
    rd
    0.70
    OFF
    0.69
    OTAL
    0.68
    actionDate
    0.68
     Kass
    0.66
     onwards
    0.66
    Activations Density 0.046%

    No Known Activations