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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. 20111
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    INDEX
    Explanations

    descriptions related to physical characteristics and personal histories

    oai_token-act-pair · gpt-3.5-turbo

    aspects related to societal issues and demographics

    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
    nesday
    -0.95
    Benz
    -0.83
    pse
    -0.73
    IRC
    -0.71
    "]=>
    -0.70
    atech
    -0.70
    norm
    -0.70
    requently
    -0.70
    ribly
    -0.70
    sic
    -0.69
    POSITIVE LOGITS
     overlap
    0.83
     tow
    0.78
     backgrounds
    0.75
     spare
    0.75
     sway
    0.75
     background
    0.74
     twist
    0.74
     flair
    0.73
     backing
    0.72
     flowing
    0.72
    Activations Density 0.758%

    No Known Activations