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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. 1-RES-JB
    6. 16721
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    Explanations

    specific terms related to the concept of trade-offs

    oai_token-act-pair · gpt-3.5-turbo

    references to payoffs and trade-offs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Rated
    -0.64
    ITED
    -0.62
    ATED
    -0.61
     Id
    -0.61
    Commun
    -0.60
    FUL
    -0.59
     duct
    -0.59
     Amend
    -0.58
     IMAGES
    -0.58
     repressive
    -0.57
    POSITIVE LOGITS
    pring
    1.31
    offs
    0.97
    kies
    0.85
    lash
    0.84
    fits
    0.84
    terness
    0.83
    hots
    0.81
    peak
    0.78
    ourcing
    0.77
    folios
    0.76
    Activations Density 0.007%

    No Known Activations