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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. 12238
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    Explanations

    sophisticated and technical terms related to data analysis and technology, particularly focusing on concepts such as API, impact, criticism, design, ethics, and evolution

    oai_token-act-pair · gpt-3.5-turbo

    key concepts related to analysis and discussion topics in various fields

    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
     certific
    -0.62
    ãĥ¯
    -0.60
    ulo
    -0.56
     Dragonbound
    -0.54
     lasts
    -0.53
     Brah
    -0.53
     alike
    -0.53
     Ec
    -0.51
     imposes
    -0.51
     confines
    -0.50
    POSITIVE LOGITS
     Pengu
    0.75
    oken
    0.63
    Semitism
    0.62
     texting
    0.58
     tipping
    0.58
    draft
    0.58
     targ
    0.57
     unfolding
    0.56
    etz
    0.56
    wolves
    0.56
    Activations Density 1.496%

    No Known Activations