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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 10961
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    Explanations

    references to criminal or wrongful acts, often related to war crimes or atrocities

    oai_token-act-pair · gpt-3.5-turbo

    references to violations of human rights and crimes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Goo
    -0.69
    iew
    -0.58
     Shining
    -0.58
    ortment
    -0.57
    trak
    -0.56
    ouf
    -0.55
    antz
    -0.55
    isode
    -0.54
     reinforcement
    -0.52
     Stuff
    -0.52
    POSITIVE LOGITS
     by
    0.98
     BY
    0.83
     concurrently
    0.81
     consecut
    0.79
     anew
    0.77
     aloud
    0.75
     unlawfully
    0.74
     correctly
    0.73
     domestically
    0.72
     elsewhere
    0.72
    Activations Density 0.259%

    No Known Activations