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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. 4-RES-JB
    11. 10861
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    Explanations

    numbers related to a specific sporting event or competition

    oai_token-act-pair · gpt-3.5-turbo

    references to sports tournaments and leagues, specifically those involving the terms "Five," "Six," and "Seven."

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

    No Comments

    Negative Logits
    vt
    -0.69
    uterte
    -0.67
     DOI
    -0.67
    ãĤ¹ãĥĪ
    -0.66
    USD
    -0.66
    rawdownloadcloneembedreportprint
    -0.65
    ULAR
    -0.64
    nc
    -0.64
     NOAA
    -0.64
    ulating
    -0.64
    POSITIVE LOGITS
     Mile
    0.95
    teen
    0.92
     Hundred
    0.91
     Hour
    0.88
     Lives
    0.88
     Isles
    0.86
     Seasons
    0.85
     Guys
    0.83
     Realms
    0.83
     Directions
    0.82
    Activations Density 0.039%

    No Known Activations