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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. 14060
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    Explanations

    references to religious figures or titles

    oai_token-act-pair · gpt-3.5-turbo

    mentions of cardinals, likely focusing on references to religious or sports figures associated with the title

    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
    Not in Any Lists

    No Comments

    Negative Logits
    tery
    -0.83
    efully
    -0.79
    neau
    -0.78
    reprene
    -0.77
    eful
    -0.76
    urers
    -0.75
    visible
    -0.73
    uring
    -0.72
    tern
    -0.72
    skirts
    -0.71
    POSITIVE LOGITS
     Cardinals
    0.87
    inals
    0.82
    ity
    0.78
    ITY
    0.73
     Fitzgerald
    0.73
     Cardinal
    0.71
     Slug
    0.70
     Leap
    0.68
     Newman
    0.68
     Grounds
    0.65
    Activations Density 0.035%

    No Known Activations