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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. 1-RES-JB
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    Explanations

    mentions of the word "Mo" followed by some form of designation such as "Mooney," "Mochizuki," or "Money."

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of "Mo" or references to the state of Missouri

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Icelandic
    -0.69
    acters
    -0.69
    ãĥ´ãĤ¡
    -0.67
    gerald
    -0.67
    代
    -0.66
    universal
    -0.65
     Hades
    -0.64
     Integrity
    -0.63
    ãĥij
    -0.63
     null
    -0.62
    POSITIVE LOGITS
    Mo
    1.08
    ogly
    1.00
    omon
    0.92
     Mo
    0.92
    ose
    0.91
    ascus
    0.91
    oney
    0.86
    ovable
    0.86
    abit
    0.85
    ogie
    0.85
    Activations Density 0.006%

    No Known Activations