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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. 8-RES-JB
    11. 10267
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    INDEX
    Explanations

    statements mentioning improvement or enhancement in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to personal and professional improvement or development

    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
    ĸļ
    -0.84
    bos
    -0.76
    REDACTED
    -0.74
    NetMessage
    -0.73
    Warning
    -0.68
    escription
    -0.67
    waves
    -0.67
    ptin
    -0.66
    ounce
    -0.66
    rants
    -0.66
    POSITIVE LOGITS
     efficiency
    0.97
     competitiveness
    0.92
     productivity
    0.92
     chances
    0.86
     reputation
    0.86
     morale
    0.85
     existing
    0.85
     prospects
    0.84
     infrastructure
    0.83
     reliability
    0.83
    Activations Density 0.240%

    No Known Activations