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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. 4-RES-JB
    11. 10884
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    Explanations

    phrases related to social issues or underserved populations

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals or groups that are underserved or overrepresented

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

    No Comments

    Negative Logits
     Bloody
    -0.80
    ãĥ¼ãĥĨ
    -0.74
     DU
    -0.72
    çķ
    -0.67
     Rape
    -0.64
    æµ
    -0.63
    âĨij
    -0.63
     Albion
    -0.63
     Bahrain
    -0.62
    ãĤ¼
    -0.62
    POSITIVE LOGITS
    hirt
    1.10
    pec
    1.04
     unders
    1.01
    iders
    0.97
    velength
    0.94
    odes
    0.93
    xual
    0.88
    oles
    0.87
    pend
    0.87
    erving
    0.85
    Activations Density 0.013%

    No Known Activations