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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. 18913
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    Explanations

    terms related to importance

    oai_token-act-pair · gpt-3.5-turbo

    references to primary subjects or key points in a discussion

    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
    ï¸
    -0.70
    ossession
    -0.70
    omic
    -0.70
     Vaugh
    -0.64
     Slater
    -0.64
     Leone
    -0.63
    AUT
    -0.63
     McKenna
    -0.62
     helmets
    -0.62
    uracy
    -0.61
    POSITIVE LOGITS
    stay
    1.54
    tenance
    1.21
    deck
    0.96
     arteries
    0.92
    frame
    0.90
     artery
    0.89
     culprit
    0.85
    yout
    0.84
    lining
    0.82
    purpose
    0.81
    Activations Density 0.017%

    No Known Activations