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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 4-RES-JB
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    Explanations

    references to the name "Betsy"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names, particularly related to individuals named Betsy and Ivy

    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
    nesota
    -0.84
    ugal
    -0.83
    ems
    -0.78
    ographed
    -0.71
    */(
    -0.71
    asio
    -0.70
    ugu
    -0.68
    ictions
    -0.67
    iction
    -0.67
     Nanto
    -0.66
    POSITIVE LOGITS
     DeVos
    1.00
     Mae
    0.82
     Betsy
    0.80
    pend
    0.78
     ribbon
    0.77
     Ford
    0.76
     Veronica
    0.73
     Betty
    0.72
    wine
    0.71
    bian
    0.70
    Activations Density 0.019%

    No Known Activations