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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
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    Explanations

    references to politicians

    oai_token-act-pair · gpt-3.5-turbo

    references to politicians and lawmakers

    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
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    No Comments

    Negative Logits
    awks
    -0.92
    ciating
    -0.92
    avers
    -0.90
     eleph
    -0.86
    arus
    -0.83
    ilers
    -0.77
    imilar
    -0.77
    elt
    -0.76
    ergic
    -0.76
    ensitive
    -0.75
    POSITIVE LOGITS
     politician
    0.94
     CTR
    0.81
     laureate
    0.81
     lawmaker
    0.74
    lier
    0.73
     Candidate
    0.73
     Polit
    0.72
     councillor
    0.69
    EStream
    0.68
     MLA
    0.65
    Activations Density 0.009%

    No Known Activations