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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. 3-RES-JB
    11. 4101
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    Explanations

    words related to the correctional system, prisons, and institutions

    oai_token-act-pair · gpt-3.5-turbo

    references to correctional facilities and the corrections system

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    issan
    -0.78
    ami
    -0.73
    bang
    -0.73
    assis
    -0.72
    yip
    -0.72
    bare
    -0.71
    nings
    -0.70
    lass
    -0.70
    ies
    -0.69
    ding
    -0.68
    POSITIVE LOGITS
     prisons
    0.94
     jails
    0.90
     Corrections
    0.89
     Facility
    0.88
     Institution
    0.86
     Correctional
    0.84
     inmates
    0.80
     Facilities
    0.77
    itent
    0.76
     Complex
    0.75
    Activations Density 0.021%

    No Known Activations