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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 6588
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    Explanations

    references to physical objects or locations with a specific message displayed for public viewing

    oai_token-act-pair · gpt-3.5-turbo

    references to signs and placards in a protest or demonstration context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rin
    -0.84
    elsen
    -0.82
    erate
    -0.79
    iciary
    -0.79
     Thro
    -0.75
     Salary
    -0.71
    alin
    -0.68
    ste
    -0.67
    ube
    -0.65
     dyn
    -0.65
    POSITIVE LOGITS
     billboards
    1.07
     erected
    1.04
     banners
    1.03
     proclaiming
    1.03
     advertising
    1.01
     posters
    0.98
     stickers
    0.95
     depicting
    0.93
     slogans
    0.91
     adorned
    0.91
    Activations Density 0.102%

    No Known Activations