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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. 11-RES-JB
    6. 252
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    Explanations

    references to a specific year

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific years, particularly focusing on the current and previous years

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cro
    -0.62
    ierre
    -0.60
     textual
    -0.60
     cumbers
    -0.60
    omething
    -0.60
    erate
    -0.57
    CHQ
    -0.57
     hemor
    -0.57
    eness
    -0.57
    NESS
    -0.57
    POSITIVE LOGITS
    long
    0.94
     alone
    0.83
    book
    0.82
    nings
    0.79
     onwards
    0.76
    's
    0.76
    Reviewer
    0.76
     anniversary
    0.71
    mable
    0.71
    ns
    0.70
    Activations Density 0.108%

    No Known Activations