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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. 3959
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    INDEX
    Explanations

    numbers and statistics mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    numeric figures or statistics

    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
    NetMessage
    -0.90
    oard
    -0.72
     bind
    -0.68
     Lover
    -0.66
     sidel
    -0.65
     Orbit
    -0.64
     Memories
    -0.63
    assies
    -0.63
     VIDEOS
    -0.62
     Dock
    -0.61
    POSITIVE LOGITS
     estimate
    0.94
     totaled
    0.90
     estimates
    0.90
     compares
    0.84
     reckoned
    0.81
     number
    0.81
     averages
    0.80
     figure
    0.80
     estimated
    0.79
     tallied
    0.76
    Activations Density 0.126%

    No Known Activations