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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 1-RES-JB
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    Explanations

    phrases related to criminal sentencing and imprisonment

    oai_token-act-pair · gpt-3.5-turbo

    mentions of 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
    udden
    -0.67
    oric
    -0.66
    lass
    -0.66
    thora
    -0.65
    Impl
    -0.64
     Bundes
    -0.62
    issan
    -0.61
    abeth
    -0.61
    ories
    -0.61
    KY
    -0.60
    POSITIVE LOGITS
     prison
    1.09
     prisons
    1.04
    prison
    1.03
     jail
    0.98
     inmates
    0.92
     incarcer
    0.89
    arcer
    0.88
     jails
    0.88
     imprisonment
    0.87
     confinement
    0.86
    Activations Density 0.014%

    No Known Activations