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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
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    Explanations

    references to specific years in the 18th century

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the year "189" as a significant historical context

    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
    olicy
    -0.77
    orter
    -0.77
    itional
    -0.76
    ickers
    -0.73
    ical
    -0.72
    itivity
    -0.72
    iques
    -0.71
    itionally
    -0.71
    atem
    -0.69
    etitive
    -0.69
    POSITIVE LOGITS
    650
    1.00
    th
    0.91
    mph
    0.90
    teenth
    0.85
    71
    0.84
    91
    0.84
    58
    0.82
    85
    0.82
    87
    0.82
    92
    0.81
    Activations Density 0.031%

    No Known Activations