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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. 2-RES-JB
    11. 4320
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    Explanations

    strong emotion-related words, particularly those related to violence or conflict

    oai_token-act-pair · gpt-3.5-turbo

    references to violence and gore

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    PLIED
    -0.85
    perm
    -0.82
    BOOK
    -0.80
    berman
    -0.78
    Demand
    -0.77
    anol
    -0.77
    trak
    -0.76
    Reviewer
    -0.73
    KEN
    -0.73
    ffic
    -0.72
    POSITIVE LOGITS
     bloody
    0.95
     noses
    0.83
     slaughter
    0.75
     conflic
    0.72
     bruising
    0.70
     swath
    0.70
     swat
    0.69
     pes
    0.68
     wounds
    0.67
     fist
    0.67
    Activations Density 0.006%

    No Known Activations