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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. 20468
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    INDEX
    Explanations

    terms related to value, particularly focusing on concepts of economic, cultural, and societal significance

    oai_token-act-pair · gpt-3.5-turbo

    references to numerical values

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    riad
    -0.69
    cession
    -0.68
    brain
    -0.68
    riter
    -0.67
     Zimmer
    -0.67
    kers
    -0.66
    pass
    -0.66
    nee
    -0.64
    ker
    -0.63
    \/\/
    -0.63
    POSITIVE LOGITS
     value
    1.21
    value
    0.95
    Value
    0.88
     proposition
    0.85
     Value
    0.83
     values
    0.79
    =#
    0.78
    VALUE
    0.77
     ($)
    0.76
    Ô
    0.72
    Activations Density 0.016%

    No Known Activations