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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. 2-RES-JB
    11. 1028
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    INDEX
    Explanations

    mentions of cleanliness and hygiene-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to cleanliness and cleanliness-related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yip
    -0.85
    doms
    -0.78
    CVE
    -0.74
    opez
    -0.70
     Briggs
    -0.69
    pheus
    -0.68
    AMY
    -0.67
    Reloaded
    -0.64
    PsyNetMessage
    -0.64
    argon
    -0.64
    POSITIVE LOGITS
    liness
    1.10
    clean
    1.06
     cleaner
    0.98
     Clean
    0.96
     clean
    0.95
     linen
    0.87
     slate
    0.86
    Clean
    0.84
    ened
    0.77
    hest
    0.76
    Activations Density 0.011%

    No Known Activations