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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 1-RES-JB
    11. 10386
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    Explanations

    quotations

    oai_token-act-pair · gpt-3.5-turbo

    quotation marks in the text

    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
    bered
    -0.73
     vag
    -0.69
     pee
    -0.67
     mapping
    -0.67
     outsourcing
    -0.64
     listening
    -0.64
     opting
    -0.63
     brunch
    -0.63
     constructive
    -0.62
     broadcasting
    -0.62
    POSITIVE LOGITS
    We
    1.06
    I
    0.97
    They
    0.95
    Interest
    0.94
    Too
    0.93
    People
    0.92
    It
    0.91
    There
    0.90
    Non
    0.89
    BuyableInstoreAndOnline
    0.89
    Activations Density 0.094%

    No Known Activations