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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
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    Explanations

    proper nouns, particularly last names starting with 'S' and potentially related to law or contracts

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Schwartz" and related names or terms associated with it

    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
    thood
    -0.85
    cise
    -0.85
    phis
    -0.83
     NOTICE
    -0.79
    BILITY
    -0.77
    yip
    -0.73
    ntil
    -0.72
    uthor
    -0.71
    ugal
    -0.71
    phas
    -0.68
    POSITIVE LOGITS
    enegger
    1.62
     Schwarz
    1.02
     Schwartz
    0.92
    schild
    0.85
    atz
    0.81
    arella
    0.78
    meyer
    0.76
     Osw
    0.73
     Tanz
    0.69
     Clause
    0.69
    Activations Density 0.013%

    No Known Activations