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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. 6-RES-JB
    11. 24557
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    Explanations

    words related to social class distinctions, especially focusing on higher class or upper-level descriptors

    oai_token-act-pair · gpt-3.5-turbo

    references to socioeconomic classes and demographic locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cly
    -0.64
    ascus
    -0.62
     hotline
    -0.62
     Became
    -0.62
    DragonMagazine
    -0.62
     Archdemon
    -0.61
    aram
    -0.60
     Transformers
    -0.58
     Serve
    -0.58
    bos
    -0.57
    POSITIVE LOGITS
    than
    1.00
     brackets
    0.91
    iate
    0.78
     levels
    0.77
    roth
    0.75
     layers
    0.72
    arsity
    0.71
     taxp
    0.71
     thirds
    0.70
    itudes
    0.70
    Activations Density 0.103%

    No Known Activations