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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. 9-RES-JB
    11. 13928
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    Explanations

    references to businesses or companies

    oai_token-act-pair · gpt-3.5-turbo

    references to companies and corporations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ife
    -0.76
    izoph
    -0.70
    ttp
    -0.69
    stones
    -0.69
    rontal
    -0.68
    Redditor
    -0.67
    othy
    -0.66
    theless
    -0.66
    obia
    -0.65
     ultras
    -0.64
    POSITIVE LOGITS
     headquartered
    1.12
     CEOs
    1.11
     firms
    1.05
     companies
    1.00
     corporations
    1.00
     executives
    0.99
     enterprises
    0.98
     vying
    0.98
    hare
    0.95
     IPO
    0.95
    Activations Density 0.103%

    No Known Activations