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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. 3-RES-JB
    11. 2858
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    Explanations

    words related to people's names, specifically focusing on surnames

    oai_token-act-pair · gpt-3.5-turbo

    words that emphasize depth or intensity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    £ı
    -0.76
    kefeller
    -0.73
    isSpecialOrderable
    -0.68
     SEN
    -0.67
    igators
    -0.67
    ngth
    -0.65
    credit
    -0.62
    cipled
    -0.61
    upper
    -0.61
    terness
    -0.60
    POSITIVE LOGITS
    ModLoader
    0.69
     Execution
    0.68
    à¨
    0.67
    nets
    0.66
     Clause
    0.65
    wald
    0.65
     Patch
    0.64
    Stock
    0.64
    Myth
    0.64
    Fight
    0.64
    Activations Density 0.113%

    No Known Activations