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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
    11. 19741
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    INDEX
    Explanations

    mentions of a specific company or organization, likely related to energy or technology

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific entity denoted as "NR" followed by a number, indicating significance in the 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
     Metatron
    -0.76
     Villa
    -0.69
     Izan
    -0.68
    dates
    -0.67
    Minecraft
    -0.66
     congr
    -0.65
    oise
    -0.64
     undone
    -0.63
    ãĥ´ãĤ¡
    -0.62
     Fairfax
    -0.62
    POSITIVE LOGITS
     NR
    0.94
    emonic
    0.94
    ACK
    0.85
    UTH
    0.84
    NR
    0.84
    otiation
    0.82
    aceutical
    0.81
    rint
    0.79
    yss
    0.76
    PN
    0.75
    Activations Density 0.011%

    No Known Activations