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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. 14894
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    INDEX
    Explanations

    proper names of people or characters

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of individuals

    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
     Thumbnails
    -0.61
     AAA
    -0.57
    į
    -0.56
    ש
    -0.55
    sembly
    -0.54
    Roaming
    -0.51
    EMBER
    -0.51
     recharge
    -0.50
    ãĢį
    -0.50
     euro
    -0.50
    POSITIVE LOGITS
    quist
    0.86
    gren
    0.84
    hurst
    0.83
    berg
    0.81
     testified
    0.80
     County
    0.79
    burg
    0.78
    hoff
    0.78
    ucci
    0.78
    baugh
    0.77
    Activations Density 0.245%

    No Known Activations