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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. 11-RES-JB
    11. 24050
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of people and companies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ö¼
    -0.54
    ":"/
    -0.52
    Ö
    -0.49
    Ùİ
    -0.48
    ople
    -0.48
    usercontent
    -0.48
    ×ŀ
    -0.48
    ÙĴ
    -0.47
    ãĤ¹ãĥĪ
    -0.47
    é¾įå
    -0.46
    POSITIVE LOGITS
     etc
    0.87
     and
    0.78
     &
    0.78
    ,...
    0.78
    ...)
    0.77
    âĢ¦)
    0.71
     converge
    0.69
    itars
    0.68
     weren
    0.67
     collide
    0.67
    Activations Density 0.165%

    No Known Activations