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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. 7-RES-JB
    11. 13842
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    Explanations

    names and professions of individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to notable individuals and their professions or contributions

    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
     }}
    -0.79
    Tokens
    -0.73
     beforehand
    -0.72
    ĪĴ
    -0.70
     Kardash
    -0.69
    SPONSORED
    -0.69
    ?).
    -0.68
    chio
    -0.66
     guiActiveUn
    -0.66
     selves
    -0.66
    POSITIVE LOGITS
    ocument
    0.72
    verted
    0.69
     combining
    0.68
    avascript
    0.66
     Published
    0.66
     withd
    0.63
    vert
    0.63
     consisting
    0.62
    ablished
    0.62
    quartered
    0.61
    Activations Density 0.406%

    No Known Activations