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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. 3-RES-JB
    11. 11351
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    Explanations

    specific acronyms or abbreviations related to governmental or political entities

    oai_token-act-pair · gpt-3.5-turbo

    references to the acronym "ML" and its context within the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rar
    -0.81
    raltar
    -0.80
    liness
    -0.79
     Marino
    -0.79
    rio
    -0.76
    enance
    -0.72
     Panama
    -0.71
    arters
    -0.71
     Portsmouth
    -0.71
     Townsend
    -0.68
    POSITIVE LOGITS
     ML
    0.97
    CTV
    0.90
    andom
    0.86
    NP
    0.83
    anche
    0.80
    inders
    0.77
    enn
    0.76
    arge
    0.73
    indal
    0.73
    ibraries
    0.72
    Activations Density 0.017%

    No Known Activations