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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. 6-RES-JB
    11. 20591
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    Explanations

    terms related to demographic groups, particularly young people

    oai_token-act-pair · gpt-3.5-turbo

    references to young people and their experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ãĥ¯ãĥ³
    -0.94
    ãĥĥ
    -0.93
     Cosponsors
    -0.87
    ãĥ¬
    -0.87
    ãĥ¼ãĥĨãĤ£
    -0.85
    pmwiki
    -0.83
    ãĥ¼ãĥĨ
    -0.82
    âķIJ
    -0.82
    ãĥ£
    -0.81
    orius
    -0.81
    POSITIVE LOGITS
     graduates
    0.79
     todd
    0.78
     inexper
    0.73
     aspir
    0.71
     aspiring
    0.70
     disillusion
    0.70
     graduating
    0.69
     immersed
    0.67
     enroll
    0.65
    kid
    0.65
    Activations Density 0.134%

    No Known Activations