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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. 4-RES-JB
    11. 20403
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    INDEX
    Explanations

    mentions or references to activewear clothing and accessories

    oai_token-act-pair · gpt-3.5-turbo

    words related to actions and processes

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

    No Comments

    Negative Logits
    PDATE
    -0.95
    ĨĴ
    -0.80
     Klux
    -0.78
     tradem
    -0.76
     proble
    -0.76
    Ń·
    -0.75
    yip
    -0.75
    £ı
    -0.74
     referen
    -0.73
     millenn
    -0.73
    POSITIVE LOGITS
    ional
    1.24
    uary
    1.12
    uated
    1.05
    uate
    1.02
    ors
    0.97
    uality
    0.93
    ual
    0.91
    uation
    0.91
    uates
    0.90
    uating
    0.89
    Activations Density 0.019%

    No Known Activations