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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. 405
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    INDEX
    Explanations

    references to founders or creators of various companies or organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals identified as founders

    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
    mble
    -0.70
    anche
    -0.69
    alle
    -0.68
    ascus
    -0.68
    awks
    -0.68
    oles
    -0.68
    pez
    -0.66
    ureau
    -0.66
    ittee
    -0.66
    ña
    -0.65
    POSITIVE LOGITS
     Ezra
    0.90
    founder
    0.84
     Founder
    0.78
     laureate
    0.77
     founder
    0.75
    IAL
    0.74
     Alexis
    0.74
    ially
    0.73
     Sergio
    0.72
     emer
    0.71
    Activations Density 0.022%

    No Known Activations