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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. 1-RES-JB
    11. 13140
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    Explanations

    references to decades

    oai_token-act-pair · gpt-3.5-turbo

    references to the 1970s and related historical discourse

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    LET
    -0.71
    FIN
    -0.70
    icio
    -0.70
    Compan
    -0.67
     stub
    -0.64
    SET
    -0.63
    HR
    -0.62
    ALK
    -0.61
     comparison
    -0.61
    IFIC
    -0.61
    POSITIVE LOGITS
    ourcing
    0.91
    enegger
    0.87
    ources
    0.83
    ourced
    0.81
    ocrates
    0.79
    omething
    0.79
    essions
    0.78
    olutions
    0.77
    linger
    0.77
    kaya
    0.76
    Activations Density 0.059%

    No Known Activations