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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. 72
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    INDEX
    Explanations

    dates and locations related to where speeches were given

    oai_token-act-pair · gpt-3.5-turbo

    references to speeches and public addresses

    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
    nah
    -0.85
    usercontent
    -0.85
     glitch
    -0.75
     workaround
    -0.73
     mustard
    -0.71
     ILCS
    -0.70
     discovered
    -0.69
    chrome
    -0.68
     smugglers
    -0.67
     churn
    -0.66
    POSITIVE LOGITS
     keynote
    0.93
     podium
    0.88
     televised
    0.87
     commencement
    0.86
     TED
    0.82
    posium
    0.81
     CES
    0.79
     attendees
    0.79
    Interstitial
    0.76
     aloud
    0.76
    Activations Density 0.277%

    No Known Activations