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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. 16422
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    Explanations

    descriptions related to physical characteristics, environmental features, and societal issues, often with negative connotations

    oai_token-act-pair · gpt-3.5-turbo

    references to violence, crime, and social issues

    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
    Not in Any Lists

    No Comments

    Negative Logits
    izont
    -0.71
    ©¶æ
    -0.68
    arthed
    -0.68
    sis
    -0.64
    otiation
    -0.62
     Participant
    -0.61
    Commission
    -0.59
    elfth
    -0.59
     wider
    -0.59
     rapport
    -0.59
    POSITIVE LOGITS
     goodies
    0.83
     rubble
    0.81
     junk
    0.79
     acron
    0.78
     jargon
    0.76
     vomit
    0.76
     awaits
    0.74
     fury
    0.71
     surprises
    0.71
     crap
    0.70
    Activations Density 0.473%

    No Known Activations