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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. 22139
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    INDEX
    Explanations

    lists of items, such as countries, representatives, or movies

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating lists

    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
    ester
    -0.72
    entimes
    -0.72
    imet
    -0.71
    gypt
    -0.69
    iva
    -0.67
    imeter
    -0.65
     breeze
    -0.64
    athy
    -0.64
    lycer
    -0.63
    ashtra
    -0.62
    POSITIVE LOGITS
     sorts
    0.89
     entries
    0.85
     accomplishments
    0.79
    ãĥ¼ãĥ³
    0.76
     items
    0.75
    Topics
    0.74
     ingredients
    0.72
     celebrities
    0.71
     keywords
    0.71
     grievances
    0.70
    Activations Density 0.107%

    No Known Activations