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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 6679
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    INDEX
    Explanations

    mentions of large entities or corporations

    oai_token-act-pair · gpt-3.5-turbo

    references to "big" entities, particularly in the context of business and politics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cia
    -0.70
     Reincarnated
    -0.69
    DragonMagazine
    -0.69
     Emin
    -0.68
    Dialogue
    -0.67
     Cheong
    -0.66
    yrinth
    -0.65
    veyard
    -0.65
     Michaels
    -0.65
    IRC
    -0.64
    POSITIVE LOGITS
    oted
    1.25
    wig
    1.01
    gest
    1.01
     bucks
    0.94
     chunks
    0.91
     chunk
    0.91
    GER
    0.88
     ol
    0.87
     enough
    0.85
    ger
    0.85
    Activations Density 0.061%

    No Known Activations