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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. 6-RES-JB
    11. 10905
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    Explanations

    proper nouns related to different individuals and organizations

    oai_token-act-pair · gpt-3.5-turbo

    names of political figures and organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soever
    -0.73
     dstg
    -0.69
    NetMessage
    -0.67
    ::::::::
    -0.65
    PsyNetMessage
    -0.64
    establishment
    -0.63
    sect
    -0.63
    corruption
    -0.61
    ÙĦ
    -0.60
    fig
    -0.60
    POSITIVE LOGITS
     also
    0.97
     additionally
    0.89
     furthermore
    0.78
     paused
    0.74
     emphasizes
    0.73
     nonetheless
    0.72
    enegger
    0.71
     nevertheless
    0.70
     opted
    0.70
     assures
    0.70
    Activations Density 0.537%

    No Known Activations