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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. 11-RES-JB
    11. 16568
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    Explanations

    actions or events happening in a specific portion of time (e.g., a half, quarter, or minute) during a sports game

    oai_token-act-pair · gpt-3.5-turbo

    references to time-related terms in sports contexts

    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
    hran
    -0.75
     Thumbnails
    -0.63
    phia
    -0.62
     anecd
    -0.62
     redes
    -0.62
     streng
    -0.60
    appings
    -0.60
    itarian
    -0.58
    Leaks
    -0.58
    nton
    -0.58
    POSITIVE LOGITS
     opener
    0.87
    finals
    0.82
     stopp
    0.82
     of
    0.79
     against
    0.73
    ftime
    0.71
    INAL
    0.70
     thereof
    0.70
    final
    0.69
    enium
    0.69
    Activations Density 0.073%

    No Known Activations