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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. 3-RES-JB
    11. 8351
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    Explanations

    years stated in documents

    oai_token-act-pair · gpt-3.5-turbo

    dates in the 1800s

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ovie
    -0.78
    itional
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    orter
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    ical
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    iques
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    ickers
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    iguous
    -0.71
    adata
    -0.71
    atown
    -0.70
    itionally
    -0.70
    POSITIVE LOGITS
    650
    1.04
    th
    0.91
    91
    0.88
    71
    0.88
    92
    0.87
    teenth
    0.87
    85
    0.85
    58
    0.85
    87
    0.85
    mph
    0.83
    Activations Density 0.031%

    No Known Activations