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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. 3063
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    Explanations

    dates, specifically years, mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    specific years or dates mentioned in the text

    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
    letcher
    -0.57
    nce
    -0.57
    avis
    -0.57
    resist
    -0.56
    nox
    -0.55
    atio
    -0.54
     contention
    -0.52
    elong
    -0.52
     Lomb
    -0.52
    ovember
    -0.52
    POSITIVE LOGITS
     onwards
    0.93
    £ı
    0.83
     onward
    0.72
     GMT
    0.71
     guiActiveUn
    0.70
     partName
    0.69
    20439
    0.69
     timeframe
    0.67
     sidx
    0.66
    schild
    0.65
    Activations Density 0.087%

    No Known Activations