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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. 4-RES-JB
    11. 2595
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    Explanations

    references to jail or prison locations

    oai_token-act-pair · gpt-3.5-turbo

    references to jails and law enforcement institutions

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

    No Comments

    Negative Logits
    hend
    -0.80
    stream
    -0.79
    iday
    -0.73
    together
    -0.73
    piring
    -0.70
    Sov
    -0.70
    zsche
    -0.69
    coming
    -0.69
    iasm
    -0.68
    jad
    -0.67
    POSITIVE LOGITS
     Detention
    1.01
     Patrol
    0.97
     Dispatch
    0.97
     District
    0.95
     Enforcement
    0.94
     Cyrus
    0.93
     Militia
    0.93
     Correction
    0.92
     Parish
    0.92
     Authority
    0.91
    Activations Density 0.169%

    No Known Activations