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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. 4263
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    Explanations

    phrases related to written messages displayed in public spaces

    oai_token-act-pair · gpt-3.5-turbo

    words related to various forms of visual protest materials and signage

    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
    erate
    -0.83
    iciary
    -0.80
     Salary
    -0.78
    elsen
    -0.77
     Thro
    -0.74
    rin
    -0.71
     dyn
    -0.70
     POV
    -0.66
    cession
    -0.66
    eties
    -0.65
    POSITIVE LOGITS
     billboards
    1.09
     banners
    1.02
     proclaiming
    1.01
     billboard
    0.96
     erected
    0.93
     stickers
    0.92
     posters
    0.90
     advertising
    0.90
     adorned
    0.88
     depicting
    0.87
    Activations Density 0.112%

    No Known Activations