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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. 10-RES-JB
    11. 10148
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    Explanations

    references to specific public entities like schools, libraries, stock exchanges, and other public institutions

    oai_token-act-pair · gpt-3.5-turbo

    references to public institutions and exchanges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    worldly
    -0.74
    amsung
    -0.66
     USDA
    -0.66
    redo
    -0.62
    undy
    -0.61
     ante
    -0.60
     Helena
    -0.59
     spouses
    -0.59
    kind
    -0.58
    agy
    -0.58
    POSITIVE LOGITS
    istrates
    0.92
    Council
    0.89
     Festival
    0.86
     School
    0.83
    stice
    0.83
    ptroller
    0.82
     Opera
    0.77
    Arcade
    0.76
     Exchange
    0.76
     Consortium
    0.75
    Activations Density 0.251%

    No Known Activations