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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. 22364
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    INDEX
    Explanations

    sentences with medical or violent content

    oai_token-act-pair · gpt-3.5-turbo

    statements involving incidents and outcomes, particularly injuries or damages

    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
    anting
    -0.85
    userc
    -0.79
    isphere
    -0.77
    itaire
    -0.75
    itating
    -0.70
    ogl
    -0.69
     forwarding
    -0.69
    ensibly
    -0.69
    anted
    -0.68
     intermediate
    -0.67
    POSITIVE LOGITS
     However
    1.06
     Additionally
    1.05
     Also
    0.97
     Photograph
    0.95
     Meanwhile
    0.94
     Nevertheless
    0.92
     Alternatively
    0.86
     Nonetheless
    0.86
     Furthermore
    0.85
     Else
    0.85
    Activations Density 0.563%

    No Known Activations