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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. 2-RES-JB
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    Explanations

    years from the 1800s

    oai_token-act-pair · gpt-3.5-turbo

    references to the 1800s (particularly the years 1800 to 1899)

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ovie
    -0.83
    olicy
    -0.81
    DragonMagazine
    -0.80
    itional
    -0.80
    ellation
    -0.79
    atown
    -0.78
    adata
    -0.78
    itionally
    -0.77
    etitive
    -0.76
    itivity
    -0.74
    POSITIVE LOGITS
    teenth
    0.92
    650
    0.91
    92
    0.89
    th
    0.88
    91
    0.88
    87
    0.85
    71
    0.85
    85
    0.84
    68
    0.83
    66
    0.83
    Activations Density 0.037%

    No Known Activations