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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. 8-RES-JB
    6. 14678
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    Explanations

    words or phrases followed by a specific symbol

    oai_token-act-pair · gpt-3.5-turbo

    instances of personal or formal titles and names in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    429
    -0.69
    cuts
    -0.63
     ®
    -0.61
     flaming
    -0.59
    cat
    -0.59
    wards
    -0.58
    ================================
    -0.57
     Hearts
    -0.57
     Canaver
    -0.57
     android
    -0.56
    POSITIVE LOGITS
    erion
    0.79
    eways
    0.77
    oter
    0.74
    ogh
    0.72
    igham
    0.71
    ouver
    0.69
    eway
    0.69
    anchester
    0.67
    zek
    0.65
    omatic
    0.65
    Activations Density 0.248%

    No Known Activations