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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. 10-RES-JB
    11. 18564
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    Explanations

    time-related expressions involving durations of days, weeks, hours, and months

    oai_token-act-pair · gpt-3.5-turbo

    references to durations of time

    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
    egu
    -0.81
    alg
    -0.64
    ranch
    -0.63
    gall
    -0.61
    hest
    -0.60
    owler
    -0.60
    emort
    -0.60
    natureconservancy
    -0.60
     VIDEOS
    -0.59
    enko
    -0.59
    POSITIVE LOGITS
     straight
    1.09
     afterward
    1.02
     consecut
    0.96
     afterwards
    0.95
     uninterrupted
    0.94
     apiece
    0.92
     beforehand
    0.90
     thereafter
    0.89
     consecutive
    0.88
     ago
    0.84
    Activations Density 0.085%

    No Known Activations