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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. 10-RES-JB
    11. 7222
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    Explanations

    percentage values

    oai_token-act-pair · gpt-3.5-turbo

    numerical values expressed as percentages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    flies
    -0.66
    IRT
    -0.65
    zek
    -0.63
    ¯¯¯¯
    -0.62
    zos
    -0.61
    kinson
    -0.61
    DragonMagazine
    -0.61
    kefeller
    -0.60
    ãĥ¤
    -0.60
    ¯¯¯¯¯¯¯¯
    -0.59
    POSITIVE LOGITS
    iles
    0.93
    imeter
    0.87
     ABV
    0.83
    xual
    0.81
     annually
    0.77
     apiece
    0.76
    ership
    0.73
    imet
    0.72
     margin
    0.72
    margin
    0.72
    Activations Density 0.056%

    No Known Activations