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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. 4-RES-JB
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    Explanations

    words related to criminal behavior or the legal term "felon"

    oai_token-act-pair · gpt-3.5-turbo

    terms related to felonies and the concept of being a felon

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

    No Comments

    Negative Logits
    yang
    -0.86
    yip
    -0.84
     Ange
    -0.77
     Galile
    -0.76
    ngth
    -0.76
    zzo
    -0.73
     Companies
    -0.70
     Gork
    -0.69
     Bree
    -0.69
    elson
    -0.69
    POSITIVE LOGITS
     fel
    1.11
     felon
    1.01
    istics
    0.90
    icit
    0.84
     disenfranch
    0.83
     homicide
    0.79
     criminal
    0.78
    ized
    0.78
    unte
    0.77
     felony
    0.76
    Activations Density 0.014%

    No Known Activations