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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. 15686
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    Explanations

    dates mentioned in text

    oai_token-act-pair · gpt-3.5-turbo

    references to dates within the text

    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
    ffic
    -0.85
    utenberg
    -0.78
    osion
    -0.75
    ô
    -0.74
    oggle
    -0.74
    monary
    -0.73
    aucuses
    -0.73
    yle
    -0.73
    aucus
    -0.72
    iltration
    -0.72
    POSITIVE LOGITS
     dated
    1.33
    dated
    0.88
     Dating
    0.77
     dates
    0.73
     Dates
    0.71
     buggy
    0.69
     Antiqu
    0.69
     contrad
    0.69
     dating
    0.68
     date
    0.65
    Activations Density 0.013%

    No Known Activations