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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 11951
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    INDEX
    Explanations

    proper nouns related to specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of individuals with "laureate" or similar titles

    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
    OTAL
    -0.85
    icago
    -0.75
    ORT
    -0.69
    ractical
    -0.69
    é¾į
    -0.67
    enegger
    -0.65
    oted
    -0.65
    oké
    -0.63
    ulhu
    -0.63
    dimension
    -0.63
    POSITIVE LOGITS
    nce
    1.26
     Laure
    1.08
    nces
    1.06
     laure
    0.98
     laureate
    0.96
    ¨
    0.86
    ls
    0.82
    nda
    0.81
    zon
    0.81
    rics
    0.79
    Activations Density 0.021%

    No Known Activations