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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. 10-RES-JB
    6. 11777
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    Explanations

    words related to awards, recognition, or superlatives

    oai_token-act-pair · gpt-3.5-turbo

    references to award categories and winners

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IGHTS
    -0.82
     inval
    -0.68
    aucuses
    -0.67
    tics
    -0.66
    idon
    -0.63
    umat
    -0.61
     Greenpeace
    -0.60
     falsely
    -0.60
    gypt
    -0.60
     impatient
    -0.59
    POSITIVE LOGITS
    seller
    1.29
    iary
    1.11
    selling
    1.09
    sell
    1.01
     Practices
    0.99
    iaries
    0.96
     Selling
    0.90
     Answer
    0.87
     Seller
    0.82
     Worst
    0.80
    Activations Density 0.034%

    No Known Activations