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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. 9-RES-JB
    11. 3325
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    Explanations

    countries or regions

    oai_token-act-pair · gpt-3.5-turbo

    references to various countries and regions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    tops
    -0.80
    sequence
    -0.69
     landlords
    -0.66
    dain
    -0.64
     fri
    -0.62
     delinqu
    -0.61
    yright
    -0.60
     chast
    -0.59
     displeasure
    -0.59
    oslav
    -0.58
    POSITIVE LOGITS
    XT
    0.84
     Yard
    0.78
     Liberation
    0.77
     Tsukuyomi
    0.74
     Pavilion
    0.74
     Sunrise
    0.72
    2020
    0.72
     Libre
    0.71
    ite
    0.68
     Files
    0.68
    Activations Density 0.142%

    No Known Activations