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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. 11-RES-JB
    11. 5147
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    Explanations

    mentions of prisons and related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to the prison system

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    £ı
    -0.74
    lass
    -0.74
    UTH
    -0.73
    lip
    -0.71
    ullivan
    -0.69
    arks
    -0.66
    ãĤ®
    -0.65
    dB
    -0.65
    eu
    -0.65
    sound
    -0.64
    POSITIVE LOGITS
     inmates
    1.14
     inmate
    1.10
     overcrowd
    1.00
     sentences
    0.95
     camps
    0.89
     prison
    0.87
     prisoners
    0.85
    planet
    0.84
     sentence
    0.84
     prisons
    0.83
    Activations Density 0.059%

    No Known Activations