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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
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    Explanations

    references to law enforcement officers

    oai_token-act-pair · gpt-3.5-turbo

    references to police officers

    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
    tera
    -0.87
    dos
    -0.87
    Tea
    -0.87
    ankind
    -0.84
    DAY
    -0.79
    hered
    -0.77
    hend
    -0.73
    aido
    -0.72
    laus
    -0.71
    ites
    -0.71
    POSITIVE LOGITS
     officer
    1.12
     officers
    1.03
     examiner
    0.90
     corps
    0.90
     Officer
    0.87
     stationed
    0.87
    utenant
    0.86
    geant
    0.85
     Officers
    0.83
     colonel
    0.81
    Activations Density 0.040%

    No Known Activations