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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. 6-RES-JB
    6. 8626
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    INDEX
    Explanations

    phrases indicating worthiness or deservingness

    oai_token-act-pair · gpt-3.5-turbo

    expressions of worthiness or merit

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ullivan
    -0.81
    glers
    -0.75
    nels
    -0.69
     interstate
    -0.67
    lems
    -0.67
    ories
    -0.66
     synchronized
    -0.64
     processes
    -0.62
     surfing
    -0.61
     recruited
    -0.61
    POSITIVE LOGITS
     praise
    0.88
    cellence
    0.78
     scorn
    0.77
     criticism
    0.75
    EDIT
    0.75
    cipled
    0.74
     ridicule
    0.70
    ãģĭ
    0.70
     accol
    0.70
    inguished
    0.70
    Activations Density 0.102%

    No Known Activations