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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. 1-RES-JB
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    Explanations

    keywords related to law enforcement and criminal justice, specifically focusing on the concept of being in jail

    oai_token-act-pair · gpt-3.5-turbo

    mentions of incarceration or imprisonment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FORE
    -0.88
     Bundes
    -0.69
    chell
    -0.67
     Scotia
    -0.63
     Feder
    -0.62
    onymous
    -0.62
     Minor
    -0.61
     Nare
    -0.60
     Blizz
    -0.60
    avez
    -0.60
    POSITIVE LOGITS
     jail
    1.19
     jails
    1.07
     Jail
    0.95
     imprison
    0.86
    halla
    0.85
    mallow
    0.85
     incarcer
    0.81
     jailed
    0.80
     prison
    0.76
     pardon
    0.75
    Activations Density 0.008%

    No Known Activations