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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. 14385
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    Explanations

    mentions related to prisons or incarceration

    oai_token-act-pair · gpt-3.5-turbo

    references to incarceration and the prison system

    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
    lass
    -0.79
    £ı
    -0.71
    ullivan
    -0.69
    uyomi
    -0.68
    thora
    -0.67
     Remastered
    -0.67
    UTH
    -0.66
    Downloadha
    -0.65
    issan
    -0.65
    soDeliveryDate
    -0.65
    POSITIVE LOGITS
     inmates
    1.13
     inmate
    1.06
     sentences
    0.90
     overcrowd
    0.90
     prisoners
    0.90
     abolition
    0.85
    house
    0.85
     prisons
    0.84
    prison
    0.84
     camps
    0.84
    Activations Density 0.063%

    No Known Activations