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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. 11-RES-JB
    11. 13983
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    Explanations

    phrases related to economic impact and government policy

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to consumer rights and burdens

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    philis
    -0.88
    utenberg
    -0.76
    speak
    -0.76
    iannopoulos
    -0.75
    love
    -0.74
    GMT
    -0.74
     largeDownload
    -0.74
    MSN
    -0.73
    osterone
    -0.72
    estyles
    -0.71
    POSITIVE LOGITS
     consumers
    1.42
     policymakers
    1.41
     employers
    1.40
     marketers
    1.37
     manufacturers
    1.37
     entrepreneurs
    1.37
     operators
    1.35
     enterprises
    1.31
     businesses
    1.31
     developers
    1.31
    Activations Density 0.343%

    No Known Activations