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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. 0-RES-JB
    11. 19012
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    INDEX
    Explanations

    mentions of specific materials like cotton and silk

    oai_token-act-pair · gpt-3.5-turbo

    references to cotton and related materials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Rampage
    -0.85
     Samar
    -0.72
    urst
    -0.71
    eur
    -0.71
    bach
    -0.68
    bars
    -0.68
    geist
    -0.67
    emort
    -0.67
    marks
    -0.67
     Stefan
    -0.66
    POSITIVE LOGITS
     cotton
    3.69
     Cotton
    2.44
    otton
    2.04
     silk
    1.78
     wool
    1.66
     textile
    1.61
     linen
    1.56
     nylon
    1.46
     denim
    1.43
     hemp
    1.39
    Activations Density 0.015%

    No Known Activations