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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. 16291
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    Explanations

    phrases related to time and actions taking place over time

    oai_token-act-pair · gpt-3.5-turbo

    numeric data or quantities in various contexts

    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
    nces
    -0.88
    etsk
    -0.63
    glers
    -0.63
     Loans
    -0.62
     Cosponsors
    -0.60
    MSN
    -0.60
     ðŁij
    -0.58
     âľ
    -0.58
    rike
    -0.58
    tm
    -0.57
    POSITIVE LOGITS
     predec
    0.67
    é¾įå
    0.60
    ãĤ½
    0.60
     adolesc
    0.60
     jun
    0.60
     lesser
    0.59
     infancy
    0.56
    tnc
    0.56
     wealthier
    0.55
    olesc
    0.55
    Activations Density 3.720%

    No Known Activations