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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. 3-RES-JB
    11. 548
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    Explanations

    keywords related to community and social impact, particularly focusing on community engagement, economic development, and social issues

    oai_token-act-pair · gpt-3.5-turbo

    references to communities and their social dynamics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iasis
    -0.78
    cer
    -0.66
    ifer
    -0.66
    nit
    -0.65
    eton
    -0.63
    ãĤ¦ãĤ¹
    -0.63
     secretion
    -0.62
    tein
    -0.61
    othy
    -0.61
    Tro
    -0.60
    POSITIVE LOGITS
    chool
    1.05
     councils
    1.04
    folk
    0.89
     communities
    0.85
    wana
    0.78
    hips
    0.77
    hip
    0.77
    ongs
    0.75
    mith
    0.75
    hare
    0.74
    Activations Density 0.015%

    No Known Activations