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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. 10-RES-JB
    6. 17666
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    INDEX
    Explanations

    negative sentiments or problems in context, possibly related to politics or investigations

    oai_token-act-pair · gpt-3.5-turbo

    negations or words indicating absence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Confederation
    -0.71
     Observatory
    -0.61
     welcome
    -0.58
     Democracy
    -0.58
     provisional
    -0.57
     yields
    -0.57
     comfort
    -0.57
     Receiver
    -0.57
     Conduct
    -0.55
     otherwise
    -0.55
    POSITIVE LOGITS
    Ton
    0.86
    raq
    0.83
    gel
    0.81
    Tan
    0.80
    STAR
    0.80
    Pak
    0.80
    Am
    0.79
    Bon
    0.79
    gil
    0.78
    Nut
    0.78
    Activations Density 0.084%

    No Known Activations