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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. 2-RES-JB
    11. 1937
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    Explanations

    mentions of law enforcement officers, particularly troopers

    oai_token-act-pair · gpt-3.5-turbo

    references to law enforcement personnel, specifically troopers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ðĿ
    -0.84
    ð
    -0.83
    circ
    -0.80
    Winner
    -0.80
     Carbuncle
    -0.76
    urated
    -0.72
    chain
    -0.72
    thumbnails
    -0.71
    reprene
    -0.71
    dust
    -0.70
    POSITIVE LOGITS
     trooper
    1.47
     troopers
    1.45
     Trooper
    1.42
     colonel
    0.91
     uniforms
    0.87
     stationed
    0.83
     dispatcher
    0.82
     officers
    0.81
    geant
    0.80
     Tro
    0.79
    Activations Density 0.011%

    No Known Activations